WEBVTT - Bloomberg Businessweek Weekend - March 22nd, 2024

0:00:02.920 --> 0:00:08.080
<v Speaker 1>Bloomberg Audio Studios, Podcasts, radio news.

0:00:09.000 --> 0:00:13.360
<v Speaker 2>This is Bloomberg business Week Inside from the reporters and

0:00:13.520 --> 0:00:17.120
<v Speaker 2>editors who bring you America's most trusted business magazine, plus

0:00:17.160 --> 0:00:21.079
<v Speaker 2>gloom O Business Finance and tech news. The Bloomberg Business

0:00:21.079 --> 0:00:26.280
<v Speaker 2>Week Podcast with Carol Messer and Tim Stenebeck from Bloomberg Radio.

0:00:27.720 --> 0:00:31.080
<v Speaker 1>Hi, everyone, Welcome to the Bloomberg Business Week Weekend Podcast. Yes,

0:00:31.200 --> 0:00:33.519
<v Speaker 1>we had a FED meeting this week, signaling three rate

0:00:33.600 --> 0:00:36.920
<v Speaker 1>cuts likely this year. Despite the FED lifting the forecast

0:00:36.960 --> 0:00:39.839
<v Speaker 1>for core inflation, stocks ralling on the news, sending the

0:00:39.920 --> 0:00:42.800
<v Speaker 1>SMP to a record close about fifty two hundred for

0:00:42.840 --> 0:00:45.319
<v Speaker 1>the first time, folks. You can read more about it

0:00:45.640 --> 0:00:48.320
<v Speaker 1>and what the FED is up to at Bloomberg dot Com.

0:00:48.320 --> 0:00:51.280
<v Speaker 3>Tech talks outperforming right after that FED decision, and the

0:00:51.280 --> 0:00:54.040
<v Speaker 3>world of technology is where we are focusing this hour,

0:00:54.400 --> 0:00:57.680
<v Speaker 3>including talks about Apple and Google getting more deeply involved

0:00:57.720 --> 0:01:01.840
<v Speaker 3>with one another, this time on our artificial intelligence. And

0:01:02.080 --> 0:01:04.959
<v Speaker 3>you know her for her podcasts and chronicling of the

0:01:05.000 --> 0:01:08.000
<v Speaker 3>individuals and companies that have dominated the tech landscape for

0:01:08.040 --> 0:01:11.720
<v Speaker 3>the past thirty years. Kara Swisher on her new book

0:01:11.920 --> 0:01:14.679
<v Speaker 3>It's called burn Book, a Tech love story All of.

0:01:14.720 --> 0:01:16.640
<v Speaker 1>That to coll and we begin with the doubling down

0:01:16.680 --> 0:01:19.840
<v Speaker 1>on a relationship that's already existed for years between two

0:01:19.959 --> 0:01:22.120
<v Speaker 1>very well known giants in the tech space. We are

0:01:22.160 --> 0:01:23.880
<v Speaker 1>talking about Apple and Alphabet.

0:01:24.160 --> 0:01:27.520
<v Speaker 3>The story by Bloomberg's chief technology reporter Mark German caught

0:01:27.520 --> 0:01:30.959
<v Speaker 3>the attention of investors, sending both stocks hire. Earlier this week,

0:01:31.319 --> 0:01:34.160
<v Speaker 3>Mark joined us along with bloomberg new Senior executive editor

0:01:34.160 --> 0:01:37.800
<v Speaker 3>for Global Technology, Tom Giles, giving us all the details

0:01:38.000 --> 0:01:38.440
<v Speaker 3>Apple and.

0:01:38.440 --> 0:01:41.080
<v Speaker 4>Google are and talks for Apple to license Gemini, that's

0:01:41.160 --> 0:01:45.319
<v Speaker 4>Google's top generator of AI, large language model for integration

0:01:45.560 --> 0:01:49.520
<v Speaker 4>into the iPhone and iOS eighteen and the iPad later

0:01:49.560 --> 0:01:53.360
<v Speaker 4>this year. Apple has its own homegrown AI, including some

0:01:53.520 --> 0:01:56.920
<v Speaker 4>Jenai that will be based into the device. Those will

0:01:56.920 --> 0:01:59.200
<v Speaker 4>be models that run on the phone themselves, but with

0:01:59.320 --> 0:02:03.200
<v Speaker 4>a lot of consume. Are clamoring for our Gemini Microsoft

0:02:03.200 --> 0:02:06.800
<v Speaker 4>Copilot Chat GBT the ability to type in a short

0:02:06.840 --> 0:02:10.240
<v Speaker 4>prompt and get an essay, a letter, or an image

0:02:10.400 --> 0:02:12.880
<v Speaker 4>or what not created for you that's very reliant on

0:02:12.919 --> 0:02:16.840
<v Speaker 4>the cloud. It's a very expensive endeavor obviously that comes

0:02:16.840 --> 0:02:19.240
<v Speaker 4>with a lot of challenges in scrutiny as well, and

0:02:19.280 --> 0:02:21.720
<v Speaker 4>so Apple felt like going with a partner at least

0:02:21.720 --> 0:02:24.640
<v Speaker 4>this year, isn't its best interest. It has talked to

0:02:24.840 --> 0:02:28.000
<v Speaker 4>open AI and it has talked to Google. The open

0:02:28.040 --> 0:02:32.040
<v Speaker 4>AI talks happened recently, but the Google talks are active,

0:02:32.480 --> 0:02:35.480
<v Speaker 4>and it appears both Google and Apple are keen on

0:02:35.520 --> 0:02:39.600
<v Speaker 4>getting something done by June. Obviously this could still fall apart,

0:02:40.080 --> 0:02:41.919
<v Speaker 4>but this is what's happening right now, the two being

0:02:41.919 --> 0:02:42.600
<v Speaker 4>in discussions.

0:02:42.680 --> 0:02:45.280
<v Speaker 3>Hey, Mark, does it also tell us a story? Does

0:02:45.280 --> 0:02:47.880
<v Speaker 3>it tell you a story about where Apple is when

0:02:47.960 --> 0:02:50.600
<v Speaker 3>it comes to its progress on AI right now or

0:02:50.680 --> 0:02:52.840
<v Speaker 3>lack there? Yeah, and that's the real question.

0:02:52.880 --> 0:02:56.480
<v Speaker 4>It tells us that Apple has not made as much

0:02:56.520 --> 0:02:59.799
<v Speaker 4>progress as it would need to on the generative AI

0:03:00.240 --> 0:03:04.320
<v Speaker 4>and cloud based generator of AI front specifically. I do

0:03:04.360 --> 0:03:06.240
<v Speaker 4>think they have made a lot of progress on on

0:03:06.440 --> 0:03:10.160
<v Speaker 4>device AI in day to day usability, but either it

0:03:10.200 --> 0:03:12.320
<v Speaker 4>has not made progress or it doesn't feel like it

0:03:12.360 --> 0:03:16.000
<v Speaker 4>needs to make progress on cloud based GENETAI specifically based

0:03:16.040 --> 0:03:18.760
<v Speaker 4>on short prompts. I would imagine it does come down

0:03:18.800 --> 0:03:20.200
<v Speaker 4>to the fact that they need They know they need

0:03:20.240 --> 0:03:22.800
<v Speaker 4>to get this out this year. They know Google's the

0:03:22.840 --> 0:03:26.040
<v Speaker 4>best why not expand that search deal, maybe make some

0:03:26.080 --> 0:03:28.880
<v Speaker 4>money off of it too, while having far less liability

0:03:28.880 --> 0:03:30.800
<v Speaker 4>than they would if they went in house.

0:03:30.880 --> 0:03:32.440
<v Speaker 1>Yeah, I do feel like the pressure is on all

0:03:32.480 --> 0:03:34.240
<v Speaker 1>of the big tech names to kind of really move

0:03:34.240 --> 0:03:36.120
<v Speaker 1>forward when it comes to AI. Tom Giles come on

0:03:36.160 --> 0:03:37.960
<v Speaker 1>in on this, because I feel like when you hear

0:03:38.240 --> 0:03:41.320
<v Speaker 1>Apple and Google get together on anything, I feel like

0:03:41.440 --> 0:03:46.400
<v Speaker 1>exponentially the impact And I think about regulators just being like, wait,

0:03:46.520 --> 0:03:48.680
<v Speaker 1>what are you two doing now again.

0:03:49.120 --> 0:03:52.120
<v Speaker 5>As we saw this story coming together, the wheels in

0:03:52.160 --> 0:03:55.640
<v Speaker 5>my head started turning. Immediately. My thinking is, DOJ and

0:03:55.760 --> 0:03:59.400
<v Speaker 5>FTC are going to look at this this agreement should

0:03:59.400 --> 0:04:02.560
<v Speaker 5>it come together with great interest? As we all know,

0:04:03.360 --> 0:04:07.040
<v Speaker 5>DJ is already looking into that relationship between Apple and

0:04:07.080 --> 0:04:11.560
<v Speaker 5>Google that gives Apple, that gives Google added prominence on

0:04:11.640 --> 0:04:13.080
<v Speaker 5>the iPhone.

0:04:12.840 --> 0:04:14.720
<v Speaker 1>When it comes to search right, when it comes.

0:04:14.600 --> 0:04:15.280
<v Speaker 6>To search right.

0:04:15.680 --> 0:04:18.800
<v Speaker 5>But so if you see something that deepens the relationship

0:04:18.880 --> 0:04:22.320
<v Speaker 5>between two of the most powerful companies in the world,

0:04:23.080 --> 0:04:25.799
<v Speaker 5>you're gonna want to make sure that that's not something

0:04:25.839 --> 0:04:29.800
<v Speaker 5>that's gonna thwart competition or in any way hurt the

0:04:29.880 --> 0:04:36.680
<v Speaker 5>consumer somehow keep competitors from getting into this space. So

0:04:36.720 --> 0:04:38.839
<v Speaker 5>there's lots of questions that they have that they're going

0:04:38.880 --> 0:04:41.159
<v Speaker 5>to ask and already the FTC is looking at the

0:04:41.240 --> 0:04:45.279
<v Speaker 5>relationship when it comes to AI between Microsoft and open Ai.

0:04:45.880 --> 0:04:47.760
<v Speaker 5>So these kinds of things they're gonna.

0:04:47.520 --> 0:04:49.880
<v Speaker 1>They're gonna be why whiteboard, I'm assuming you guys had

0:04:49.880 --> 0:04:50.599
<v Speaker 1>this massive white.

0:04:50.480 --> 0:04:53.159
<v Speaker 5>We're gonna want to look at the find at the details,

0:04:53.200 --> 0:04:54.160
<v Speaker 5>the fine print.

0:04:54.520 --> 0:04:57.760
<v Speaker 3>So Mark, it's funny when you when you talk about

0:04:58.240 --> 0:05:02.159
<v Speaker 3>Apple and Alphabet, you know they're certainly competitors to the

0:05:02.200 --> 0:05:05.640
<v Speaker 3>extent that Alphabet has the Android operating system, which you know,

0:05:05.760 --> 0:05:09.880
<v Speaker 3>is the biggest operating system in competition with Apple's iOS.

0:05:10.120 --> 0:05:12.800
<v Speaker 3>But at the same time they are partners and Apple

0:05:12.880 --> 0:05:16.000
<v Speaker 3>has had partnerships with once rivals in the past. I

0:05:16.000 --> 0:05:18.200
<v Speaker 3>think back to this event in twenty fifteen, when I

0:05:18.240 --> 0:05:20.280
<v Speaker 3>think it was an iPhone event or maybe an iPad event,

0:05:20.320 --> 0:05:22.599
<v Speaker 3>where a Microsoft executive was on stage, and it was

0:05:22.640 --> 0:05:25.279
<v Speaker 3>such a big deal that like a Microsoft executive was

0:05:25.320 --> 0:05:28.719
<v Speaker 3>actually on stage at this event. If this partnership comes

0:05:28.760 --> 0:05:31.080
<v Speaker 3>to fruition, is it that big of a deal or

0:05:31.120 --> 0:05:33.200
<v Speaker 3>is it not that big of a deal because Apple

0:05:33.200 --> 0:05:34.919
<v Speaker 3>and Google have had a partnership in the past.

0:05:36.480 --> 0:05:39.480
<v Speaker 4>I certainly remember that iPad pro announcement that was in

0:05:39.560 --> 0:05:43.360
<v Speaker 4>September twenty fifteen, and Microsoft at the time, under their

0:05:43.400 --> 0:05:47.480
<v Speaker 4>new CEO, sought in Nadela. At the time, their goal

0:05:47.600 --> 0:05:50.640
<v Speaker 4>was to get their software and services everywhere. Apple's goal

0:05:50.640 --> 0:05:52.719
<v Speaker 4>at the time was to make the iPad more of

0:05:52.760 --> 0:05:56.840
<v Speaker 4>an office device, and so there was some mutual benefit there.

0:05:57.080 --> 0:05:59.760
<v Speaker 4>Getting Office on the iPad would be good for both parties.

0:06:00.160 --> 0:06:02.680
<v Speaker 4>In this case, getting Gemini built into the iPhone would

0:06:02.680 --> 0:06:03.080
<v Speaker 4>also be.

0:06:03.000 --> 0:06:04.000
<v Speaker 7>Good for both parties.

0:06:04.600 --> 0:06:07.360
<v Speaker 4>Apple would be able to push new AI features that

0:06:07.400 --> 0:06:10.920
<v Speaker 4>everyone's claiming for to its two billion users, and Gemini

0:06:11.000 --> 0:06:15.000
<v Speaker 4>would be gaining many more users and a stronghold on

0:06:15.000 --> 0:06:19.160
<v Speaker 4>one of the most popular devices of our lifetimes. Right,

0:06:19.200 --> 0:06:20.440
<v Speaker 4>and I want one more thing.

0:06:20.440 --> 0:06:20.920
<v Speaker 6>I want to add.

0:06:21.000 --> 0:06:24.440
<v Speaker 4>Tom's point is excellent about the FTC and the doj

0:06:25.480 --> 0:06:28.320
<v Speaker 4>our thinking on this is that in order to combat

0:06:28.360 --> 0:06:32.600
<v Speaker 4>those concerns, Apple probably will have to have an API

0:06:32.760 --> 0:06:35.520
<v Speaker 4>or some sort of short or feature for other generative

0:06:35.520 --> 0:06:39.120
<v Speaker 4>AI providers, maybe open Ai, maybe Anthropic, maybe someone else

0:06:39.480 --> 0:06:43.840
<v Speaker 4>to be able to integrate themselves into iOS as an alternative.

0:06:44.200 --> 0:06:46.839
<v Speaker 4>And better yet, Apple probably would have to let users

0:06:46.920 --> 0:06:49.080
<v Speaker 4>choose when you boot up the phone for the first time,

0:06:49.440 --> 0:06:52.240
<v Speaker 4>who you want your generative AI provider to be or

0:06:52.279 --> 0:06:54.680
<v Speaker 4>as Tom said, the DOJ and FTC are going to

0:06:54.720 --> 0:06:56.680
<v Speaker 4>be smelling around pretty quickly.

0:06:57.680 --> 0:07:01.320
<v Speaker 1>I also do wonder about Gemini Apple Google, who gets

0:07:01.400 --> 0:07:04.120
<v Speaker 1>I mean, who benefits more. You just said mark Gemini

0:07:04.120 --> 0:07:06.520
<v Speaker 1>into the iPhone. It's good for both parties. Did one

0:07:06.520 --> 0:07:08.280
<v Speaker 1>of them need to do this more than the other?

0:07:09.160 --> 0:07:10.200
<v Speaker 1>Was the pressure on Apple?

0:07:10.360 --> 0:07:11.080
<v Speaker 6>You know you move in?

0:07:11.320 --> 0:07:14.160
<v Speaker 4>Yeah, you know, I would say the easy answer is

0:07:14.160 --> 0:07:16.000
<v Speaker 4>the pressure is more so on Apple. But I think

0:07:16.000 --> 0:07:18.080
<v Speaker 4>there's pressure on both companies.

0:07:17.680 --> 0:07:19.160
<v Speaker 6>Right Google.

0:07:19.480 --> 0:07:23.000
<v Speaker 4>You know, Search obviously is down. Google is looking for,

0:07:23.160 --> 0:07:26.040
<v Speaker 4>you know, new areas of growth and getting its you know,

0:07:26.120 --> 0:07:29.960
<v Speaker 4>next big thing on the world's biggest or second biggest platform.

0:07:30.360 --> 0:07:33.280
<v Speaker 4>You know, it's a big deal for them. They're already

0:07:33.320 --> 0:07:35.840
<v Speaker 4>owning their own in house platform, they'll own number one,

0:07:35.880 --> 0:07:38.160
<v Speaker 4>and now they could own number two on AI as well.

0:07:38.240 --> 0:07:41.119
<v Speaker 4>So I think the pressure is probably equal on both,

0:07:41.440 --> 0:07:43.880
<v Speaker 4>maybe more so on Google, because I think if Apple

0:07:43.960 --> 0:07:46.160
<v Speaker 4>didn't do anything this year on the A front, if

0:07:46.200 --> 0:07:48.280
<v Speaker 4>they didn't do this, it would be a bad look.

0:07:48.520 --> 0:07:51.560
<v Speaker 4>We'd certainly criticize them heavily for it. But would their

0:07:51.720 --> 0:07:57.240
<v Speaker 4>revenue drop significantly? Would people stop buying iPhones, probably not so. Certainly,

0:07:57.320 --> 0:07:59.840
<v Speaker 4>maybe the pressure is more on Google, but certainly on both.

0:08:00.080 --> 0:08:03.200
<v Speaker 5>From the investor point of view, you have to look

0:08:03.240 --> 0:08:06.520
<v Speaker 5>at the perception that there are some players that are

0:08:06.640 --> 0:08:09.680
<v Speaker 5>far further ahead when it comes to generative AI. A

0:08:09.720 --> 0:08:11.400
<v Speaker 5>lot of people are giving a lot of props to

0:08:11.440 --> 0:08:14.840
<v Speaker 5>Sachi Nadella and Microsoft for getting in on that relationship

0:08:14.840 --> 0:08:18.560
<v Speaker 5>with open Ai at an early stage, making a big investment,

0:08:18.800 --> 0:08:22.160
<v Speaker 5>and being seen as leaders. There's a lot of criticism

0:08:22.520 --> 0:08:25.440
<v Speaker 5>about Google, on the other hand, as being something of

0:08:25.480 --> 0:08:27.960
<v Speaker 5>a lagorty. They should have been way ahead of the

0:08:27.960 --> 0:08:31.160
<v Speaker 5>game when it comes to AI. They've got deep mind,

0:08:31.360 --> 0:08:34.880
<v Speaker 5>they had their own AI team at work. Sometimes those

0:08:34.880 --> 0:08:38.040
<v Speaker 5>two teams worked at loggerheads with each other. They're getting

0:08:38.040 --> 0:08:41.760
<v Speaker 5>that better, but they are seen as being behind Microsoft

0:08:41.840 --> 0:08:46.200
<v Speaker 5>and its relationship with open Ai. You see Meta coming

0:08:46.240 --> 0:08:49.559
<v Speaker 5>from out of left field with its lms. It's open

0:08:49.600 --> 0:08:53.040
<v Speaker 5>sourcing them. There's a lot of momentum behind that, and

0:08:53.200 --> 0:08:56.400
<v Speaker 5>Zuck is putting a big push behind that, and Apple

0:08:56.679 --> 0:08:58.199
<v Speaker 5>of those big players.

0:08:58.640 --> 0:09:00.920
<v Speaker 6>You really would like to see see Apple.

0:09:00.679 --> 0:09:04.480
<v Speaker 5>Being in that conversation. It's not in those conversations. It's

0:09:04.520 --> 0:09:07.600
<v Speaker 5>not being mentioned in the same breath Microsoft, Open AI,

0:09:07.720 --> 0:09:08.440
<v Speaker 5>and even Google.

0:09:08.559 --> 0:09:10.719
<v Speaker 1>It does feel like today's news has kind of changed that, right,

0:09:10.920 --> 0:09:13.240
<v Speaker 1>like all of a sudden the conversation maybe, all right,

0:09:14.000 --> 0:09:15.280
<v Speaker 1>I don't know that Apple all of a sudden, we're

0:09:15.280 --> 0:09:16.520
<v Speaker 1>looking at differently a little bit.

0:09:16.520 --> 0:09:20.080
<v Speaker 5>Potential that it that it has a strong relationship with

0:09:20.320 --> 0:09:23.560
<v Speaker 5>Google and it's going to capitalize on that and weave

0:09:23.720 --> 0:09:27.720
<v Speaker 5>more of those open those AI features into the iPhone,

0:09:27.760 --> 0:09:31.080
<v Speaker 5>providing a huge platform and a huge validation for what

0:09:31.120 --> 0:09:33.959
<v Speaker 5>Google has been doing. Both have the potential to benefit

0:09:34.000 --> 0:09:35.320
<v Speaker 5>tremendously from this, And.

0:09:35.200 --> 0:09:37.079
<v Speaker 1>Tim, I think about how much we've talked about Google,

0:09:37.160 --> 0:09:39.920
<v Speaker 1>right and the criticism of Gemini specifically in terms of

0:09:39.920 --> 0:09:41.400
<v Speaker 1>some of the biased concerns.

0:09:41.520 --> 0:09:43.200
<v Speaker 3>Yeah, so talk a little bit about that, Mark, because

0:09:43.200 --> 0:09:44.520
<v Speaker 3>it was just a couple of weeks ago that we

0:09:44.520 --> 0:09:47.520
<v Speaker 3>were talking about all the challenges that Alphabet was facing

0:09:47.640 --> 0:09:50.520
<v Speaker 3>in its AI ambitions and the CEO of the company

0:09:50.520 --> 0:09:52.280
<v Speaker 3>had to essentially come out and say, well, you know,

0:09:52.360 --> 0:09:54.559
<v Speaker 3>wait a second, this is not acceptable to us, and

0:09:54.920 --> 0:09:56.959
<v Speaker 3>we're working on this to try to make it better.

0:09:58.400 --> 0:10:01.720
<v Speaker 4>Yeah, and over those familiar with some controversy on Twitter

0:10:01.720 --> 0:10:04.840
<v Speaker 4>and other social media about you know, which races were

0:10:04.880 --> 0:10:10.040
<v Speaker 4>portrayed in an historical context. This is my understanding. My

0:10:10.160 --> 0:10:14.160
<v Speaker 4>understanding is that Google would provide the Gemini underlying model

0:10:14.200 --> 0:10:17.800
<v Speaker 4>to Apple right, which apparently did not have the issue.

0:10:17.880 --> 0:10:21.520
<v Speaker 4>And this particular issue that soon Darbar Chai, as you said,

0:10:21.559 --> 0:10:24.240
<v Speaker 4>commented on and was at the center of the controversy

0:10:24.320 --> 0:10:28.520
<v Speaker 4>was related to the end user interface of the Google chatbot.

0:10:28.679 --> 0:10:31.760
<v Speaker 4>So it's apparent that, or apparently from what I'm told,

0:10:31.840 --> 0:10:35.720
<v Speaker 4>this issue wouldn't have been replicated on the iPhone integration.

0:10:36.760 --> 0:10:38.400
<v Speaker 1>You know, it's really interesting, Tim and I are both

0:10:38.440 --> 0:10:41.520
<v Speaker 1>reading Caris Switscher's book that kind of takes you through

0:10:41.559 --> 0:10:43.000
<v Speaker 1>so much in the technology world.

0:10:43.000 --> 0:10:43.160
<v Speaker 8>Now.

0:10:43.160 --> 0:10:45.439
<v Speaker 1>I know our own team has really just chronicled it

0:10:45.559 --> 0:10:48.400
<v Speaker 1>so well over the last couple of decades or the

0:10:48.440 --> 0:10:51.400
<v Speaker 1>last decade and a half. But I just think about, how,

0:10:51.800 --> 0:10:54.200
<v Speaker 1>you know, Tom, there are companies that were so much

0:10:54.240 --> 0:10:56.880
<v Speaker 1>seemingly at the forefront that all of a sudden they weren't.

0:10:57.080 --> 0:10:59.200
<v Speaker 1>And I do feel like you see this jocking among

0:10:59.320 --> 0:11:01.760
<v Speaker 1>especially some of the establishment, of like we got to

0:11:01.800 --> 0:11:03.960
<v Speaker 1>be on this because this is what we all think

0:11:04.000 --> 0:11:04.720
<v Speaker 1>is the next wave.

0:11:05.000 --> 0:11:06.760
<v Speaker 5>Well, I'm really struck by if you look at the

0:11:06.760 --> 0:11:09.959
<v Speaker 5>share price of these companies. I mean, Apple rocketed ahead,

0:11:10.000 --> 0:11:12.880
<v Speaker 5>became the world's most valuable company, but at stock has

0:11:12.960 --> 0:11:15.600
<v Speaker 5>kind of, you know, taken a turn for the worst.

0:11:15.920 --> 0:11:18.640
<v Speaker 5>By contrast, I'm fascinated by you. Look at the share

0:11:18.640 --> 0:11:20.920
<v Speaker 5>price for Meta on the other hand. A couple of

0:11:21.040 --> 0:11:24.480
<v Speaker 5>years ago, Meta was on the ropes. We were talking

0:11:24.559 --> 0:11:29.320
<v Speaker 5>about the existential threat posed by companies like TikTok, for example.

0:11:30.320 --> 0:11:32.679
<v Speaker 5>We were talking about the things that Apple has done,

0:11:34.160 --> 0:11:36.280
<v Speaker 5>sort of changing and making it harder for you to

0:11:36.320 --> 0:11:40.680
<v Speaker 5>monetize advertising on the iPhone, and that really hurt Facebook.

0:11:40.720 --> 0:11:43.920
<v Speaker 5>A couple of years ago, their stock was tanking as

0:11:43.960 --> 0:11:45.960
<v Speaker 5>a result of all these things. Now look at how

0:11:46.000 --> 0:11:50.000
<v Speaker 5>Meta's performing visa the Apple. The story has changed dramatically.

0:11:50.200 --> 0:11:52.920
<v Speaker 3>Well, Tom, I'm curious about this idea of a landgrab

0:11:53.040 --> 0:11:55.360
<v Speaker 3>or AI going on right now, because each of these

0:11:55.679 --> 0:11:59.640
<v Speaker 3>big megacap companies has their own identity, right Facebook, Meta

0:11:59.679 --> 0:12:03.320
<v Speaker 3>owns social networking, Apple owns the iPhone and the mobile

0:12:03.320 --> 0:12:05.960
<v Speaker 3>operating system, at least at the high end. Right, you

0:12:06.000 --> 0:12:09.040
<v Speaker 3>have Alphabet that owns search. You have Microsoft, which would

0:12:09.040 --> 0:12:10.800
<v Speaker 3>say that it owns productivity, but it plays in a

0:12:10.840 --> 0:12:13.600
<v Speaker 3>lot of different areas. And now they're all going after

0:12:13.720 --> 0:12:16.160
<v Speaker 3>what is essentially the same thing. Is there any sort

0:12:16.160 --> 0:12:19.720
<v Speaker 3>of historical corollary for this when you have so many

0:12:19.720 --> 0:12:21.680
<v Speaker 3>companies that are known for their own thing kind of

0:12:21.720 --> 0:12:23.200
<v Speaker 3>going after a new thing.

0:12:23.360 --> 0:12:25.000
<v Speaker 5>Yeah, and some of them do better than others. I

0:12:25.040 --> 0:12:28.439
<v Speaker 5>mean the Internet, some of them you know, built themselves

0:12:28.480 --> 0:12:31.840
<v Speaker 5>on that, and others got left behind. Microsoft comes to mind,

0:12:31.880 --> 0:12:35.160
<v Speaker 5>for example, when it comes to mobile telephony. You know,

0:12:35.440 --> 0:12:40.319
<v Speaker 5>Apple sprinted ahead and really has owned that space. Google

0:12:40.640 --> 0:12:43.760
<v Speaker 5>came in and with Android has done very very well.

0:12:44.040 --> 0:12:46.800
<v Speaker 5>But if you look at dominance of the hardware and

0:12:46.880 --> 0:12:49.440
<v Speaker 5>of the US market, Apple is kind of really run

0:12:49.480 --> 0:12:51.840
<v Speaker 5>away with that. Microsoft went nowhere.

0:12:52.240 --> 0:12:54.360
<v Speaker 1>So Mark come back in on because I think about

0:12:54.480 --> 0:12:56.920
<v Speaker 1>just the last is it week or so or two

0:12:57.000 --> 0:12:59.160
<v Speaker 1>weeks or so? Apple give it up on the car

0:12:59.240 --> 0:13:02.400
<v Speaker 1>after ten years and now this potential deal. It looks

0:13:02.400 --> 0:13:05.319
<v Speaker 1>like with Google moving kind of all in pretty aggressively.

0:13:05.320 --> 0:13:08.720
<v Speaker 1>It feels like with artificial intelligence, how are you kind

0:13:08.720 --> 0:13:11.520
<v Speaker 1>of looking at Apple holistically right now on this news?

0:13:11.880 --> 0:13:16.360
<v Speaker 4>The presence of new artificial intelligence software and capabilities doesn't

0:13:16.440 --> 0:13:19.520
<v Speaker 4>change the underlying idea that Apple's a hardware company that

0:13:19.640 --> 0:13:22.040
<v Speaker 4>makes seventy five percent to eighty percent of their annual

0:13:22.040 --> 0:13:25.640
<v Speaker 4>revenue from hardware. So even if they fix this underlying

0:13:25.679 --> 0:13:28.640
<v Speaker 4>problem with the lack of artificial intelligence, or even when

0:13:28.679 --> 0:13:31.920
<v Speaker 4>they do as I should say, doesn't fix the underlying

0:13:31.960 --> 0:13:35.559
<v Speaker 4>notion that they don't necessarily have a next generation hardware

0:13:35.559 --> 0:13:39.360
<v Speaker 4>product to make money off of. Now here's where those

0:13:39.400 --> 0:13:43.840
<v Speaker 4>two things come together. AI could enable all sorts of

0:13:43.880 --> 0:13:45.600
<v Speaker 4>new hardware products in the future.

0:13:45.720 --> 0:13:46.600
<v Speaker 3>What do you mean very.

0:13:46.559 --> 0:13:47.120
<v Speaker 6>Core of that?

0:13:48.360 --> 0:13:51.360
<v Speaker 4>Well, the car was an AI product right at self

0:13:51.440 --> 0:13:55.200
<v Speaker 4>driving cars AI hardware, and now that AI hardware is

0:13:55.280 --> 0:13:57.199
<v Speaker 4>no longer happening. So they're going to have to figure

0:13:57.200 --> 0:14:00.319
<v Speaker 4>out some sort of new hardware category, whether it's based

0:14:00.320 --> 0:14:04.120
<v Speaker 4>on AI, probably or not, to really move the needle

0:14:04.160 --> 0:14:08.080
<v Speaker 4>revenue wise. The iPhone has completely plateaued, the iPad has

0:14:08.080 --> 0:14:11.400
<v Speaker 4>been sinking, the Mac has plateaued. Some of their other

0:14:11.440 --> 0:14:15.640
<v Speaker 4>products AirPods, Apple Watch, et cetera. Those are growing, right,

0:14:15.760 --> 0:14:18.560
<v Speaker 4>but those are not meaningful contributors to the bottom line.

0:14:18.640 --> 0:14:21.040
<v Speaker 4>The jury is still out on the vision pro. There

0:14:21.120 --> 0:14:23.440
<v Speaker 4>are some other future categories that they're working on, so

0:14:23.680 --> 0:14:27.080
<v Speaker 4>I'll mention now and some I won't, including AirPods with cameras,

0:14:27.600 --> 0:14:32.080
<v Speaker 4>augmented reality glasses. But those don't really change the fundamental story.

0:14:32.200 --> 0:14:34.240
<v Speaker 4>The question is what is the next big thing that

0:14:34.240 --> 0:14:36.160
<v Speaker 4>could bring as much revenue and interest in as a

0:14:36.200 --> 0:14:38.520
<v Speaker 4>car And I think even for Apple right now, it's

0:14:38.520 --> 0:14:39.280
<v Speaker 4>a little unclear.

0:14:39.680 --> 0:14:41.800
<v Speaker 5>Hey, Mark, and I've got a question for you in

0:14:41.840 --> 0:14:45.680
<v Speaker 5>the last few seconds. Can you talk about where and

0:14:45.760 --> 0:14:48.440
<v Speaker 5>how Apple might use this for Vision Pro.

0:14:48.760 --> 0:14:49.840
<v Speaker 1>And real quick? Mark about there?

0:14:49.920 --> 0:14:52.800
<v Speaker 4>Ye know, that's yeah, yeah, sure, that's a great question.

0:14:52.880 --> 0:14:55.360
<v Speaker 4>So there is some AI in the Vision Pro, but

0:14:55.520 --> 0:14:57.520
<v Speaker 4>nothing like you've seen from what Meta has been able

0:14:57.560 --> 0:15:00.480
<v Speaker 4>to do with their headsets integrating AI. There is a

0:15:00.480 --> 0:15:04.280
<v Speaker 4>future I see where the vision pro cameras could tap

0:15:04.320 --> 0:15:06.840
<v Speaker 4>into this new generative AI that they're getting for Google

0:15:06.880 --> 0:15:09.360
<v Speaker 4>and their in house to unite those two things. You

0:15:09.400 --> 0:15:12.280
<v Speaker 4>could be walking around a grocery store. The artificial intelligence

0:15:12.320 --> 0:15:14.960
<v Speaker 4>compare with those cameras tell you more about a food

0:15:14.960 --> 0:15:17.000
<v Speaker 4>item you're looking at, or you look at a player

0:15:17.000 --> 0:15:19.680
<v Speaker 4>at an NBA game. The AI combined with those cameras

0:15:19.720 --> 0:15:22.360
<v Speaker 4>can tell you their stats or what their three point percentages,

0:15:22.480 --> 0:15:24.160
<v Speaker 4>depending on where they're standing behind the r.

0:15:24.320 --> 0:15:26.320
<v Speaker 1>All right now, I totally kind of get it, all right,

0:15:26.560 --> 0:15:29.320
<v Speaker 1>We so appreciate it. Markerman, Bloomberg News Chief Technology Report

0:15:29.400 --> 0:15:32.440
<v Speaker 1>and of course, Bloomberg News Senior Executive editor for Global Technology,

0:15:32.520 --> 0:15:34.560
<v Speaker 1>Tom Giles joining us in studio.

0:15:39.360 --> 0:15:42.880
<v Speaker 2>You're listening to the Bloomberg Business Week podcast. Catch us

0:15:42.920 --> 0:15:46.160
<v Speaker 2>live weekday afternoons from two to five pm. Easter Listen

0:15:46.200 --> 0:15:48.360
<v Speaker 2>on Apple, card Play and the Bright Auto with a

0:15:48.400 --> 0:15:52.120
<v Speaker 2>Bloomberg Business at or watch us live on YouTube.

0:15:52.400 --> 0:15:55.840
<v Speaker 3>It is Bloomberg BusinessWeek. That's Carol Master. I'm Tim Staneveek,

0:15:56.280 --> 0:15:58.920
<v Speaker 3>and you all know our next guests from the podcast

0:15:59.040 --> 0:16:01.480
<v Speaker 3>on with Kara Swish and Pivot. You see her on CNN,

0:16:01.600 --> 0:16:04.880
<v Speaker 3>where she's a contributor. She's also a former contributing opinion

0:16:04.880 --> 0:16:06.720
<v Speaker 3>writer for The New York Times. She co founded the

0:16:06.760 --> 0:16:09.760
<v Speaker 3>tech news site Recode, and then, earlier in her career,

0:16:10.080 --> 0:16:12.320
<v Speaker 3>she was also a reporter for The Wall Street Journal,

0:16:12.360 --> 0:16:14.240
<v Speaker 3>where she founded the tech news site All Things D

0:16:14.760 --> 0:16:16.800
<v Speaker 3>and she was a reporter at the Washington Post.

0:16:16.880 --> 0:16:18.960
<v Speaker 1>All right, everybody. Her new book is burn Book, a

0:16:19.000 --> 0:16:21.480
<v Speaker 1>Tech love Story. It details her more than thirty years

0:16:21.560 --> 0:16:23.600
<v Speaker 1>covering the tech industry. We are delighted to have with

0:16:23.680 --> 0:16:28.600
<v Speaker 1>US journalist and author Kara Swisher joining us now from Chicago. Hello, Hello,

0:16:29.400 --> 0:16:32.520
<v Speaker 1>to say that we love the book. As an understatement,

0:16:32.760 --> 0:16:34.320
<v Speaker 1>I think Tim and I both listened to it as

0:16:34.400 --> 0:16:37.640
<v Speaker 1>audio books, so it was fun to hear you narrate it.

0:16:38.480 --> 0:16:40.200
<v Speaker 1>We want to get into the book you, but we'd

0:16:40.240 --> 0:16:42.880
<v Speaker 1>be You're welcome, we'd be remiss not to kind of

0:16:42.880 --> 0:16:45.240
<v Speaker 1>ask you about kind of the broader I don't know,

0:16:45.280 --> 0:16:47.440
<v Speaker 1>tech outlook if you will, and some of the stories,

0:16:47.880 --> 0:16:51.360
<v Speaker 1>whether it's the redded ipo, whether it's TikTok banning in

0:16:51.400 --> 0:16:54.600
<v Speaker 1>the US, whether it's Apple and Google getting together on AI.

0:16:54.880 --> 0:16:57.000
<v Speaker 1>What is it that you kind of find really really

0:16:57.040 --> 0:16:59.040
<v Speaker 1>interesting right now and that you think investors in like

0:16:59.040 --> 0:17:01.720
<v Speaker 1>a Bloomberg audience or the audience at large, should really

0:17:01.760 --> 0:17:02.520
<v Speaker 1>be paying attention to.

0:17:04.080 --> 0:17:06.200
<v Speaker 7>Sure, Interestingly, i'd have to tell you something about that book.

0:17:06.240 --> 0:17:08.639
<v Speaker 7>The audio version is selling the double the amount of

0:17:08.640 --> 0:17:11.200
<v Speaker 7>the print version. Wow, he's the bestseller list. So it's

0:17:11.240 --> 0:17:14.080
<v Speaker 7>really interesting. So that to me, since my last book,

0:17:14.080 --> 0:17:17.840
<v Speaker 7>which was twenty five years ago, is a really interesting trend. Obviously,

0:17:17.920 --> 0:17:20.080
<v Speaker 7>I do podcasts, so people like listening to me.

0:17:20.240 --> 0:17:24.120
<v Speaker 3>So did you narrate your other books though, Caro, I did.

0:17:24.280 --> 0:17:26.320
<v Speaker 7>I did, but nobody was listening. So I wonder if

0:17:26.560 --> 0:17:28.880
<v Speaker 7>if I wonder if it is there is no iPhone.

0:17:29.080 --> 0:17:29.600
<v Speaker 7>Just remember this.

0:17:29.760 --> 0:17:31.760
<v Speaker 3>You know it's funny. So I listened to it on Spotify,

0:17:31.800 --> 0:17:33.080
<v Speaker 3>which you can now listen to. So you can listen

0:17:33.119 --> 0:17:34.840
<v Speaker 3>to it for free on Spotify if you're a subscriber.

0:17:34.920 --> 0:17:38.280
<v Speaker 3>Carol bought it on a different service. Does it matter

0:17:38.359 --> 0:17:40.479
<v Speaker 3>to you how someone listens to it?

0:17:40.520 --> 0:17:42.680
<v Speaker 7>I get paid, no matter what paid.

0:17:42.720 --> 0:17:43.600
<v Speaker 3>That's all we care about.

0:17:43.680 --> 0:17:47.160
<v Speaker 7>Okay, yeah, that's all I care about my content, which

0:17:47.200 --> 0:17:50.840
<v Speaker 7>is why I'm kind of a media entrepreneur. But the

0:17:50.840 --> 0:17:52.919
<v Speaker 7>bigger picture, I mean all the above that you were

0:17:52.920 --> 0:17:55.760
<v Speaker 7>talking about, whether it's a I interviewed Steve Hoffman this

0:17:55.760 --> 0:17:57.679
<v Speaker 7>morning for a rather long interview which we're not going

0:17:57.720 --> 0:18:02.400
<v Speaker 7>to publish all after the company goes publiics for obvious reasons.

0:18:02.600 --> 0:18:05.399
<v Speaker 7>And you know, I've been following a reddit for nineteen years.

0:18:05.440 --> 0:18:07.880
<v Speaker 7>I just realized I've known him for nineteen years when

0:18:07.920 --> 0:18:12.600
<v Speaker 7>he was a kid. Actually, and so or Steve sam Altman,

0:18:12.640 --> 0:18:16.040
<v Speaker 7>who I recently had on stage in San Francisco, also

0:18:16.040 --> 0:18:17.879
<v Speaker 7>someone I met when he was nineteen years old. But

0:18:18.600 --> 0:18:21.240
<v Speaker 7>you know, I'm everything Ald is new again in a

0:18:21.240 --> 0:18:23.639
<v Speaker 7>weird way. But I'm paying a lot of attention to

0:18:23.680 --> 0:18:27.320
<v Speaker 7>climate change tech, to AI obviously and where it's going

0:18:27.760 --> 0:18:29.840
<v Speaker 7>and the bit there's a lot of machinations around that

0:18:29.880 --> 0:18:32.960
<v Speaker 7>and lots of different permutations. I'm spending a lot of

0:18:32.960 --> 0:18:36.600
<v Speaker 7>time thinking about healthcare tech and the impact of AI

0:18:36.720 --> 0:18:39.840
<v Speaker 7>on that, and obviously the big companies and what's going

0:18:39.840 --> 0:18:42.080
<v Speaker 7>to happen to them in media everybody you know at

0:18:42.119 --> 0:18:43.879
<v Speaker 7>the end of media as we know what kind of

0:18:43.920 --> 0:18:46.240
<v Speaker 7>the story. This has been going on for three decades.

0:18:45.800 --> 0:18:47.640
<v Speaker 3>Now, Okay, so let's get to some of those things.

0:18:47.680 --> 0:18:49.399
<v Speaker 3>I do want to start with with Reddit, and you

0:18:49.400 --> 0:18:52.800
<v Speaker 3>know your conversation with Steve today, not notwithstanding, does does

0:18:52.840 --> 0:18:56.960
<v Speaker 3>Reddit have what it takes to compete with the meta platforms?

0:18:57.200 --> 0:18:59.719
<v Speaker 3>The alphabets? Yeah, the amazons? Now when it comes to

0:18:59.720 --> 0:19:01.160
<v Speaker 3>tour I mean this is how it makes its money.

0:19:01.280 --> 0:19:04.040
<v Speaker 7>Yeah, no, yeahs it does. Okay, I mean I think

0:19:04.080 --> 0:19:07.520
<v Speaker 7>they're just toy but I get so confused when they

0:19:07.520 --> 0:19:10.520
<v Speaker 7>try these things. They're not profitable in a traditional sense,

0:19:10.560 --> 0:19:12.679
<v Speaker 7>but they I think they have cash flow, which I

0:19:12.680 --> 0:19:15.840
<v Speaker 7>think is what you need. They're remind me more of Snapchat,

0:19:16.080 --> 0:19:18.520
<v Speaker 7>but a different service, a very different kind of service.

0:19:19.240 --> 0:19:21.920
<v Speaker 7>I mean, their business is small, five hundred I guess

0:19:22.000 --> 0:19:24.680
<v Speaker 7>five hundred million, users seventy six million daily users. I

0:19:24.680 --> 0:19:26.600
<v Speaker 7>think that's the one they want to push people towards.

0:19:27.160 --> 0:19:29.480
<v Speaker 7>I think it was eight hundred million dollars in advertising.

0:19:29.520 --> 0:19:31.080
<v Speaker 7>It's a drop in the bucket to what the other

0:19:31.119 --> 0:19:34.080
<v Speaker 7>companies are doing. So it's a small social media site.

0:19:34.240 --> 0:19:37.919
<v Speaker 7>Its strength is the decentralization of the content, moderation and

0:19:37.960 --> 0:19:40.640
<v Speaker 7>the decentralization of the service. It makes it a stronger

0:19:40.680 --> 0:19:43.800
<v Speaker 7>and more enjoyable service. A lot more young people are

0:19:43.840 --> 0:19:47.119
<v Speaker 7>on it. I have lots of kids, but my older

0:19:47.200 --> 0:19:50.320
<v Speaker 7>kids who are eighteen, nineteen and twenty one and use

0:19:50.359 --> 0:19:52.919
<v Speaker 7>Reddit all the time and YouTube, that's pretty much it.

0:19:52.960 --> 0:19:55.639
<v Speaker 7>They don't use any of those other sites. That's how

0:19:55.680 --> 0:19:58.399
<v Speaker 7>they consume video because they like the decentralized part of it,

0:19:58.440 --> 0:20:00.920
<v Speaker 7>and they don't like what everyone's dumped in the same

0:20:01.320 --> 0:20:03.760
<v Speaker 7>stew and have to yell at each other and point finders,

0:20:03.840 --> 0:20:07.560
<v Speaker 7>and they're not interested. So I think it's an interesting business.

0:20:07.600 --> 0:20:09.520
<v Speaker 7>I don't know if it's a huge business. They're they're

0:20:09.600 --> 0:20:12.280
<v Speaker 7>starting to try to license data. That was a slightly

0:20:12.320 --> 0:20:16.480
<v Speaker 7>controversial selling Google the data feeds, but that's everyone's going

0:20:16.560 --> 0:20:17.960
<v Speaker 7>to do that, so I'm not sure why we pick

0:20:18.040 --> 0:20:18.280
<v Speaker 7>on them.

0:20:18.320 --> 0:20:21.159
<v Speaker 1>Particularly it's interesting what you say too about your your

0:20:21.440 --> 0:20:25.080
<v Speaker 1>kids and a younger generation. I mean, as Twitter tries

0:20:25.119 --> 0:20:27.480
<v Speaker 1>to find out what it wants to be when it

0:20:27.560 --> 0:20:28.919
<v Speaker 1>don't call it Twitter, Carol.

0:20:28.840 --> 0:20:30.720
<v Speaker 7>What X wants to be, you can call it whenever

0:20:30.760 --> 0:20:32.000
<v Speaker 7>you want. That is true.

0:20:32.440 --> 0:20:35.560
<v Speaker 1>I mean, does that give does that give redded an

0:20:35.600 --> 0:20:37.719
<v Speaker 1>opening in your view? Like I'm trying to figure out

0:20:37.720 --> 0:20:38.320
<v Speaker 1>what's the role.

0:20:38.160 --> 0:20:40.760
<v Speaker 7>Of It's been the same service. Twitter is now become

0:20:40.800 --> 0:20:43.240
<v Speaker 7>a toxic waste dump really pretty much and a place

0:20:43.240 --> 0:20:46.159
<v Speaker 7>where a billionaire works out all his childhood traumas in

0:20:46.160 --> 0:20:49.480
<v Speaker 7>front of us in real time, and and so and

0:20:49.800 --> 0:20:53.760
<v Speaker 7>they're very and his ugly character at this point. But no,

0:20:53.960 --> 0:20:56.000
<v Speaker 7>I think it's different. It's it's it's very it's a

0:20:56.000 --> 0:20:58.840
<v Speaker 7>little more like TikTok if you think about it. It's interests,

0:20:59.000 --> 0:21:02.800
<v Speaker 7>like you're interested in skins or you're interested in video games.

0:21:02.880 --> 0:21:06.520
<v Speaker 7>It's decentralized, and so that's a power. That's a very

0:21:06.560 --> 0:21:09.440
<v Speaker 7>powerful thing to do, to be in this time when

0:21:09.440 --> 0:21:12.399
<v Speaker 7>there where again there's these central feeds of which you

0:21:12.480 --> 0:21:15.440
<v Speaker 7>can't really pick and choose. So in that way, TikTok

0:21:15.440 --> 0:21:18.399
<v Speaker 7>it's more akin to TikTok in that regard where and

0:21:18.440 --> 0:21:21.879
<v Speaker 7>also the advertising is context it's that contextual advertising, not

0:21:22.000 --> 0:21:24.639
<v Speaker 7>the kind that's creepy and gross. So they're gonna make

0:21:24.680 --> 0:21:26.640
<v Speaker 7>less money because they're not as creepy and gross as

0:21:26.640 --> 0:21:30.160
<v Speaker 7>other services. So I like the service. I think it's

0:21:30.200 --> 0:21:32.320
<v Speaker 7>quite good. I don't think it's a huge business. They

0:21:32.400 --> 0:21:34.680
<v Speaker 7>might try commerce, he was talking. I mean, they've been

0:21:34.680 --> 0:21:37.879
<v Speaker 7>talking in their in their filings about commerce, but that's

0:21:37.920 --> 0:21:41.160
<v Speaker 7>a nascent business. But it makes sense to try.

0:21:41.359 --> 0:21:44.040
<v Speaker 1>You mentioned TikTok. We've all been, you know, talking about TikTok,

0:21:44.080 --> 0:21:46.240
<v Speaker 1>as you would guess everybody has over the last week

0:21:46.280 --> 0:21:48.360
<v Speaker 1>or so. Should it be banned in the US? What's

0:21:48.400 --> 0:21:48.879
<v Speaker 1>the future?

0:21:49.000 --> 0:21:49.280
<v Speaker 2>What is?

0:21:49.520 --> 0:21:50.480
<v Speaker 1>And I don't know.

0:21:50.560 --> 0:21:53.640
<v Speaker 7>I have talked about this for years, so it's I'm like, oh, yeah,

0:21:53.680 --> 0:21:55.240
<v Speaker 7>you're talking about this now. I wrote a column in

0:21:55.240 --> 0:21:56.760
<v Speaker 7>The New York Times a couple of years ago saying

0:21:56.760 --> 0:21:58.320
<v Speaker 7>I thought it was one of the best new products

0:21:58.359 --> 0:22:00.520
<v Speaker 7>I had seen in a while, and this is when

0:22:00.560 --> 0:22:03.399
<v Speaker 7>it before it got really popular, but that I use

0:22:03.480 --> 0:22:05.639
<v Speaker 7>it on a burner phone because of the Chinese commedi

0:22:05.800 --> 0:22:08.879
<v Speaker 7>party and the potential for spying, and not just spying,

0:22:08.920 --> 0:22:14.280
<v Speaker 7>because more more propaganda and abuse by by a foreign adversary,

0:22:14.320 --> 0:22:16.399
<v Speaker 7>and so I was trying to call attention to the

0:22:16.400 --> 0:22:19.480
<v Speaker 7>fact that Now, look, I think I really do believe

0:22:19.520 --> 0:22:22.960
<v Speaker 7>the TikTok executives when they say they're not up in

0:22:22.960 --> 0:22:25.439
<v Speaker 7>our grill at the same although there's been instances of

0:22:25.480 --> 0:22:28.800
<v Speaker 7>them being up in the grill of certain things, but

0:22:28.960 --> 0:22:31.280
<v Speaker 7>I don't care at this point because they could be.

0:22:31.440 --> 0:22:34.119
<v Speaker 7>They could be in every Chinese tech company I covered

0:22:34.200 --> 0:22:36.760
<v Speaker 7>has the Chinese Communist Party up in their grill. They're

0:22:36.800 --> 0:22:39.679
<v Speaker 7>just it just has happened. And honestly, why wouldn't they be.

0:22:40.000 --> 0:22:41.960
<v Speaker 7>I mean, that would that makes sense for, you know,

0:22:42.040 --> 0:22:46.040
<v Speaker 7>even to use the platform to their purposes. If we

0:22:46.080 --> 0:22:49.600
<v Speaker 7>had reciprocity in China, I might have a different point

0:22:49.640 --> 0:22:51.080
<v Speaker 7>of view. And by the way, they're not going to

0:22:51.160 --> 0:22:54.040
<v Speaker 7>let us because guess what we do. We propagandaze and

0:22:54.080 --> 0:22:58.120
<v Speaker 7>we'd we'd surveil, I mean obviously. So I'm not sure

0:22:58.200 --> 0:23:01.040
<v Speaker 7>I think it's a national security issue. I've I've seen

0:23:01.119 --> 0:23:04.680
<v Speaker 7>enough proof of it, and I do you know, I

0:23:04.680 --> 0:23:07.120
<v Speaker 7>don't think you necessarily trust the government saying it is.

0:23:07.200 --> 0:23:10.680
<v Speaker 7>But there's no question that we would not allow China

0:23:11.320 --> 0:23:16.560
<v Speaker 7>to buy CNN much smaller, considerably smaller. It's a broadcast network,

0:23:16.560 --> 0:23:18.520
<v Speaker 7>and it should be regulated like a broadcast now, yea.

0:23:18.520 --> 0:23:22.480
<v Speaker 3>And even before tick is media, yeah, even yeah, before

0:23:22.480 --> 0:23:23.000
<v Speaker 3>he bought.

0:23:23.000 --> 0:23:25.680
<v Speaker 7>You know, and then he did his endless damage on

0:23:25.760 --> 0:23:28.040
<v Speaker 7>the American democracy. But he had to be an American

0:23:28.080 --> 0:23:28.399
<v Speaker 7>to do it.

0:23:28.480 --> 0:23:30.800
<v Speaker 3>Okay, we'll get to media more media in just a bit.

0:23:30.800 --> 0:23:32.320
<v Speaker 3>I do want to stick with with TikTok and go

0:23:32.359 --> 0:23:34.480
<v Speaker 3>bigger picture here. You make an interesting point in your

0:23:34.480 --> 0:23:36.520
<v Speaker 3>book at the end of the book, the whole book

0:23:36.520 --> 0:23:38.920
<v Speaker 3>about technology and your role covering technology over the last

0:23:38.960 --> 0:23:42.560
<v Speaker 3>thirty years, about looking away from our phones, looking up

0:23:42.560 --> 0:23:45.600
<v Speaker 3>from our phones, and spending less time on them. And

0:23:45.960 --> 0:23:48.159
<v Speaker 3>it makes me think about the several issues that I

0:23:48.160 --> 0:23:50.639
<v Speaker 3>talk to people that they have about TikTok. One is

0:23:50.640 --> 0:23:52.320
<v Speaker 3>that you know, of course, all the stuff that you

0:23:52.359 --> 0:23:55.000
<v Speaker 3>brought up with national security concerns. But two, it's that

0:23:55.160 --> 0:23:57.439
<v Speaker 3>you know they can't get their teenagers away from it.

0:23:57.960 --> 0:24:01.480
<v Speaker 3>So I'm wondering how you think this stuff should be regulated.

0:24:02.880 --> 0:24:05.360
<v Speaker 7>Well, you know, I've talked about age gating quite a bit,

0:24:05.480 --> 0:24:08.560
<v Speaker 7>like we age gate a lot of things. Having having

0:24:08.600 --> 0:24:10.280
<v Speaker 7>so many kids, I spend a lot of time thinking

0:24:10.320 --> 0:24:12.920
<v Speaker 7>about it, but my kids weren't particularly I think there's

0:24:12.960 --> 0:24:15.000
<v Speaker 7>a I think the people that really got a problem

0:24:15.000 --> 0:24:17.280
<v Speaker 7>with they are thirty to fifty. They're the crazy ones.

0:24:17.280 --> 0:24:20.440
<v Speaker 7>In the middle, they're the addicted ones. Younger people twenty

0:24:20.440 --> 0:24:23.480
<v Speaker 7>five and under, maybe twenty two and under to you know,

0:24:23.600 --> 0:24:26.159
<v Speaker 7>eighteen to twenty really have it together. I think in

0:24:26.200 --> 0:24:27.679
<v Speaker 7>a lot of ways they have a real sense of

0:24:27.720 --> 0:24:29.280
<v Speaker 7>how to use it because they've grown up with it.

0:24:29.560 --> 0:24:31.080
<v Speaker 7>And it kind of reminded me when I was a

0:24:31.160 --> 0:24:33.520
<v Speaker 7>kid where everybody's I watched a lot of television and

0:24:33.560 --> 0:24:35.320
<v Speaker 7>they said, oh, it's you're going to become an idiot.

0:24:35.320 --> 0:24:37.440
<v Speaker 7>It's the boob toobe. That's what they called it. That's right,

0:24:38.000 --> 0:24:40.720
<v Speaker 7>and they did. And you know, like my dad helt

0:24:40.760 --> 0:24:44.080
<v Speaker 7>your brain. Yeah, I don't watch the boob tube. And

0:24:44.359 --> 0:24:46.439
<v Speaker 7>you know, was that time wasted? I don't know. I

0:24:46.440 --> 0:24:48.720
<v Speaker 7>don't know. Video games didn't turn out to be as bad.

0:24:48.800 --> 0:24:51.320
<v Speaker 7>You know, they're addictive. I think this this stuff is

0:24:51.440 --> 0:24:53.920
<v Speaker 7>very addictive in a different way from either of those

0:24:53.960 --> 0:24:57.840
<v Speaker 7>two things. And I think it isolates and other things.

0:24:57.840 --> 0:25:00.320
<v Speaker 7>So we need to understand what's happening by getting data

0:25:00.400 --> 0:25:02.640
<v Speaker 7>from these companies, which they don't want to share unless

0:25:02.640 --> 0:25:05.800
<v Speaker 7>whistleable or gives it to us. But I think the

0:25:05.960 --> 0:25:08.520
<v Speaker 7>I think they remind me a little bit of cigarettes,

0:25:08.560 --> 0:25:10.080
<v Speaker 7>So I think there should be warnings. I think there

0:25:10.080 --> 0:25:14.320
<v Speaker 7>should be age gating. I think it has elements of cigaret.

0:25:14.400 --> 0:25:17.119
<v Speaker 7>If you took cigarettes and television and mashed them together

0:25:17.200 --> 0:25:19.600
<v Speaker 7>and then you couldn't, then you had it strapped on

0:25:19.640 --> 0:25:22.080
<v Speaker 7>your face, you know the television, that would be what

0:25:22.160 --> 0:25:22.439
<v Speaker 7>it is.

0:25:22.640 --> 0:25:24.639
<v Speaker 1>Well, you could almost see the commercial, right giving a

0:25:24.680 --> 0:25:27.280
<v Speaker 1>kid a cigarette, right or like you see it, like

0:25:27.359 --> 0:25:28.960
<v Speaker 1>you know, but would you you know? Then you give

0:25:29.000 --> 0:25:29.520
<v Speaker 1>them a phone?

0:25:29.600 --> 0:25:32.720
<v Speaker 7>Right, we see it. It's it's it's media on steroids,

0:25:32.760 --> 0:25:34.320
<v Speaker 7>and so we have to think about it. And of

0:25:34.320 --> 0:25:37.600
<v Speaker 7>course we're addicted ourselves parents, so it's not the whole.

0:25:37.680 --> 0:25:41.720
<v Speaker 7>And more importantly, you need to have it to work.

0:25:41.920 --> 0:25:44.439
<v Speaker 7>You can't not have it, so it's it's it's a

0:25:44.440 --> 0:25:47.240
<v Speaker 7>cigarette you cannot not smoke, right, So, and.

0:25:47.280 --> 0:25:49.280
<v Speaker 1>Kids increasingly need it for school, Like you can't even

0:25:49.320 --> 0:25:51.400
<v Speaker 1>pull it away because so much it's been done. Caro,

0:25:51.600 --> 0:25:54.040
<v Speaker 1>Let's get to the book The Burn. And we were

0:25:54.040 --> 0:25:55.360
<v Speaker 1>thinking Tim and I were like, how do we want

0:25:55.400 --> 0:25:56.560
<v Speaker 1>to start with our how how do we want to

0:25:56.600 --> 0:26:00.199
<v Speaker 1>start with there. If you were interviewing yourself, sitting in

0:26:00.240 --> 0:26:03.040
<v Speaker 1>your red steelcase chairs, what would be your first question

0:26:03.240 --> 0:26:07.600
<v Speaker 1>to yourself? And you sometimes come out tough first.

0:26:07.880 --> 0:26:10.800
<v Speaker 7>Yes I do. I always, not always. Sometimes I'm a charmer,

0:26:11.000 --> 0:26:14.920
<v Speaker 7>that's true. I think, why why do you still love it?

0:26:15.480 --> 0:26:17.600
<v Speaker 7>Why do you still well? No, if you want to

0:26:17.640 --> 0:26:19.960
<v Speaker 7>be tough to me? Are you obsessed with Elon Musk?

0:26:20.320 --> 0:26:21.680
<v Speaker 1>Are you so? Are you?

0:26:21.800 --> 0:26:25.119
<v Speaker 7>He's obsessed with No, he's obsessed with me. He's the

0:26:25.119 --> 0:26:27.359
<v Speaker 7>one that listen. Did you see the blurbs on the blurb?

0:26:27.359 --> 0:26:27.640
<v Speaker 2>We did?

0:26:27.720 --> 0:26:28.560
<v Speaker 1>Yes, we did?

0:26:28.760 --> 0:26:30.240
<v Speaker 7>Yeah, Well I don't know.

0:26:31.760 --> 0:26:31.879
<v Speaker 9>Them.

0:26:31.960 --> 0:26:33.840
<v Speaker 1>We can't say them all, which is why everybody knows

0:26:33.880 --> 0:26:34.560
<v Speaker 1>to read the book.

0:26:35.040 --> 0:26:37.159
<v Speaker 7>I know what I did is I replaced blurbs with

0:26:37.280 --> 0:26:39.800
<v Speaker 7>nasty things tech boys say about me, and I use

0:26:39.840 --> 0:26:41.919
<v Speaker 7>them for marketing, because if they they want to straight

0:26:41.960 --> 0:26:44.520
<v Speaker 7>for woman, right, I'll use it for selling my book.

0:26:44.560 --> 0:26:47.040
<v Speaker 7>That sounds good to me. But you know they're trying

0:26:47.080 --> 0:26:48.800
<v Speaker 7>to as if I'm going to be some delicate flower

0:26:48.920 --> 0:26:51.200
<v Speaker 7>and melt at their insults.

0:26:51.320 --> 0:26:53.800
<v Speaker 1>Why don't well, you know what's interesting about Elon and

0:26:53.880 --> 0:26:56.679
<v Speaker 1>your book? And you like make these points of that.

0:26:56.720 --> 0:26:59.199
<v Speaker 1>There's parts of him that how can you not be

0:26:59.280 --> 0:27:01.920
<v Speaker 1>kind of a little bit enamored where he's, you know,

0:27:01.960 --> 0:27:04.399
<v Speaker 1>trying to do a solar trying to do work on

0:27:04.600 --> 0:27:07.680
<v Speaker 1>really serious problems. Right, it's not like I said, how

0:27:07.680 --> 0:27:09.800
<v Speaker 1>do I download music again? Like kind of thing and

0:27:10.040 --> 0:27:12.480
<v Speaker 1>you do your p twop ratio, which you can't say.

0:27:12.480 --> 0:27:14.479
<v Speaker 1>People have to read the book to understand what it is.

0:27:14.800 --> 0:27:18.679
<v Speaker 1>This is a clean show. But so how do you

0:27:18.760 --> 0:27:22.840
<v Speaker 1>cross like these people who think differently and yet there

0:27:22.840 --> 0:27:24.240
<v Speaker 1>are some real body concerns.

0:27:24.480 --> 0:27:27.760
<v Speaker 7>Well, he's he's a case study and someone who's lost,

0:27:27.920 --> 0:27:30.240
<v Speaker 7>you know, lost the narrative or other's significantly.

0:27:30.359 --> 0:27:31.760
<v Speaker 1>Why do we lose it? Do you think?

0:27:32.600 --> 0:27:35.639
<v Speaker 7>I don't know. I'm not his mama. I think he uh.

0:27:35.640 --> 0:27:37.879
<v Speaker 7>I think COVID played a part in it. I think

0:27:38.200 --> 0:27:41.760
<v Speaker 7>these these he's a perfect example of that age range

0:27:41.800 --> 0:27:43.640
<v Speaker 7>sort of. I guess it's thirty to sixties, a little

0:27:43.640 --> 0:27:46.200
<v Speaker 7>older than that, which makes you wonder how how he

0:27:46.240 --> 0:27:48.239
<v Speaker 7>loves the boob jokes at that age, at fifty two

0:27:48.359 --> 0:27:52.159
<v Speaker 7>or fifty three, Who he is? I think that I

0:27:52.200 --> 0:27:55.879
<v Speaker 7>think that he was doing things that were amazing. I

0:27:55.920 --> 0:27:58.399
<v Speaker 7>have to say the cars, and he didn't invent Tesla,

0:27:58.440 --> 0:28:01.000
<v Speaker 7>but He certainly is a business genius, and same thing

0:28:01.040 --> 0:28:04.160
<v Speaker 7>with SpaceX business genius. He's taken the challenge of other

0:28:04.160 --> 0:28:08.320
<v Speaker 7>people and himself and made it into really interesting businesses.

0:28:08.359 --> 0:28:11.200
<v Speaker 7>Even the tunnel to Game one is cooled in away.

0:28:11.440 --> 0:28:14.400
<v Speaker 7>Hyperloop is a great idea. So he had big ideas.

0:28:14.440 --> 0:28:16.400
<v Speaker 7>And I'll tell you that's what attracted me to him

0:28:17.080 --> 0:28:20.080
<v Speaker 7>because everyone else was doing, you know, a digital dry

0:28:20.119 --> 0:28:23.080
<v Speaker 7>cleaning service that digital is just they was so god exhausting.

0:28:23.240 --> 0:28:25.520
<v Speaker 1>Should we should we continue to take him seriously?

0:28:26.880 --> 0:28:29.080
<v Speaker 7>I wish we could, because but he's sort of given

0:28:29.119 --> 0:28:32.560
<v Speaker 7>into he's indulged himself in his manias, and so every

0:28:32.640 --> 0:28:35.320
<v Speaker 7>day he's tweeting hateful things, and not every day he's

0:28:35.359 --> 0:28:37.800
<v Speaker 7>doing every minute he's doing that. He's not inventing the future.

0:28:37.920 --> 0:28:41.000
<v Speaker 7>You know, he's inventing. He's he's reinventing hate. Just what

0:28:41.000 --> 0:28:43.920
<v Speaker 7>he's doing grievance. He's reinventing grievance.

0:28:44.480 --> 0:28:47.400
<v Speaker 3>At the same time we are seeing Starship reach new highs.

0:28:48.280 --> 0:28:51.080
<v Speaker 7>Sure yeah, well sure, but he's getting to you know,

0:28:51.120 --> 0:28:54.320
<v Speaker 7>he's getting to experiment on the US dime. That's he's

0:28:54.360 --> 0:28:58.560
<v Speaker 7>having US contracts, which is thank you Federal government. Yes,

0:28:58.640 --> 0:29:00.600
<v Speaker 7>that's right, he is doing that. But there's other people there.

0:29:00.600 --> 0:29:04.240
<v Speaker 7>I think we attribute because we have an idolatry of innovators.

0:29:04.320 --> 0:29:05.920
<v Speaker 7>We think he's the only one, like he's a Willy

0:29:06.000 --> 0:29:08.840
<v Speaker 7>Wonka in there making all the candies. Not you know,

0:29:08.880 --> 0:29:12.120
<v Speaker 7>And so I have a great regard for Gwen Shopwell name.

0:29:12.160 --> 0:29:15.280
<v Speaker 7>You don't hear very often, right, the president SpaceX, she

0:29:15.440 --> 0:29:18.200
<v Speaker 7>runs SpaceX. Let's be clear. I mean she will stand

0:29:18.200 --> 0:29:21.840
<v Speaker 7>aside for him, but from when I understand, she's the

0:29:22.000 --> 0:29:25.440
<v Speaker 7>driving force of that company and Tesla the same way.

0:29:25.480 --> 0:29:27.680
<v Speaker 7>There's a lot of executives there by the way, they're

0:29:27.760 --> 0:29:29.560
<v Speaker 7>under a great deal of stress now given all the

0:29:29.600 --> 0:29:32.640
<v Speaker 7>competition and the fall off and computer you know, the

0:29:32.680 --> 0:29:35.400
<v Speaker 7>fall off and consumer sentiment in general and in particular

0:29:35.400 --> 0:29:35.760
<v Speaker 7>with him.

0:29:35.840 --> 0:29:37.600
<v Speaker 3>Hey care, I do want to one more on Elon

0:29:37.680 --> 0:29:40.560
<v Speaker 3>and then we're gonna move on. Sure, hopefully.

0:29:41.600 --> 0:29:44.160
<v Speaker 7>You know it's the character of the moments. He really is.

0:29:44.360 --> 0:29:46.040
<v Speaker 3>And you know you've known him for years, and you

0:29:46.080 --> 0:29:48.680
<v Speaker 3>write about in the book that you've you knew him

0:29:48.720 --> 0:29:51.160
<v Speaker 3>in the early years that the PayPal when he had

0:29:51.360 --> 0:29:51.720
<v Speaker 3>when he.

0:29:51.680 --> 0:29:54.120
<v Speaker 7>Had his nut PayPal, he wasn't PayPal, He didn't create PayPal.

0:29:54.160 --> 0:29:57.760
<v Speaker 7>He created x Outcome right right, people don't know says

0:29:57.800 --> 0:29:59.760
<v Speaker 7>he founded PayPal. He did not found PayPal.

0:30:00.080 --> 0:30:02.920
<v Speaker 3>Obviously evolved since then, and I'm wondering.

0:30:02.960 --> 0:30:05.120
<v Speaker 7>He had a company called god he finished. He had

0:30:05.120 --> 0:30:08.719
<v Speaker 7>a company called zip too that was a Yellow Pages

0:30:08.800 --> 0:30:11.000
<v Speaker 7>online thing. Then he went to x dot com and

0:30:11.040 --> 0:30:13.240
<v Speaker 7>then he started doing the more interesting things.

0:30:13.520 --> 0:30:16.800
<v Speaker 3>So he evolved obviously since then, and he's evolved to

0:30:17.200 --> 0:30:19.800
<v Speaker 3>where he is now. Are you optimistic that this evolution

0:30:19.920 --> 0:30:23.760
<v Speaker 3>could continue and you could see a different Elon Musk

0:30:23.800 --> 0:30:24.560
<v Speaker 3>in a few years.

0:30:25.720 --> 0:30:27.959
<v Speaker 7>No, I don't. I don't. I think he's well passed

0:30:28.440 --> 0:30:30.880
<v Speaker 7>the cell by day at this point. You know, he's devolved,

0:30:30.920 --> 0:30:34.120
<v Speaker 7>is what's happened. He was really interesting. It's interesting. I

0:30:34.120 --> 0:30:37.080
<v Speaker 7>get a lot of a flak for liking, and then

0:30:37.240 --> 0:30:38.960
<v Speaker 7>it was a lot to like. There's a lot to like,

0:30:39.080 --> 0:30:41.440
<v Speaker 7>especially compared to other people. And I know he had

0:30:41.480 --> 0:30:44.600
<v Speaker 7>his problems. I'm aware. We wrote about them extensively on

0:30:45.040 --> 0:30:48.800
<v Speaker 7>our site. The issues around sexual harassment and racial issues

0:30:48.800 --> 0:30:51.240
<v Speaker 7>at the factories. Again, it was a problem throughout siliconbal

0:30:51.320 --> 0:30:54.000
<v Speaker 7>We also wrote about Uber. But no, I think he's

0:30:54.080 --> 0:30:57.880
<v Speaker 7>just in love with himself and his fans, and he's

0:30:57.920 --> 0:31:00.600
<v Speaker 7>got people slavishly licking him up and down all day.

0:31:00.640 --> 0:31:04.160
<v Speaker 7>And I think rich people, the deleterious effects of wealth

0:31:04.400 --> 0:31:08.360
<v Speaker 7>on your psyche in this case, and also the radicalization

0:31:08.480 --> 0:31:13.520
<v Speaker 7>of online right wing conspiracy swamps has really gotten a

0:31:13.520 --> 0:31:15.080
<v Speaker 7>hold of them. I don't know how he's going to

0:31:15.160 --> 0:31:15.480
<v Speaker 7>get out.

0:31:16.160 --> 0:31:19.000
<v Speaker 1>Hey, hey, carop. Before we go any further into the book,

0:31:19.240 --> 0:31:21.080
<v Speaker 1>you know, in the book you talk a lot about

0:31:21.120 --> 0:31:24.640
<v Speaker 1>obviously the tech industry, the folks you've reported on talked to,

0:31:25.000 --> 0:31:29.280
<v Speaker 1>but you also talk about your dad and his passing

0:31:29.520 --> 0:31:31.640
<v Speaker 1>and you were very young, how that shaped you. You

0:31:31.680 --> 0:31:34.520
<v Speaker 1>also talk about your conversations with Steve Jobs. A lot

0:31:34.520 --> 0:31:36.320
<v Speaker 1>of this just kind of resonated with me and really

0:31:36.320 --> 0:31:40.120
<v Speaker 1>struck me, just you know, the idea of facing mortality

0:31:40.520 --> 0:31:45.200
<v Speaker 1>in general, how that both of those obviously not apples

0:31:45.200 --> 0:31:48.600
<v Speaker 1>to apples, but how that shaped you as an individual

0:31:48.600 --> 0:31:50.440
<v Speaker 1>and your professional life and maybe how you approach things

0:31:50.480 --> 0:31:51.600
<v Speaker 1>and even report on things.

0:31:52.800 --> 0:31:54.400
<v Speaker 7>Very much. I know this is a real selling point,

0:31:54.400 --> 0:31:56.640
<v Speaker 7>but the book is about death and about life, you know,

0:31:56.880 --> 0:31:59.760
<v Speaker 7>creation and destruction, which is what the tech industry is about,

0:32:00.280 --> 0:32:02.760
<v Speaker 7>that things go, come and go, and my own life

0:32:02.800 --> 0:32:04.680
<v Speaker 7>I have that resident with my dad dying at a

0:32:04.680 --> 0:32:07.000
<v Speaker 7>young age, my wonderful father dying at a young age,

0:32:07.080 --> 0:32:09.040
<v Speaker 7>and the impact had on me, which gave me an

0:32:09.080 --> 0:32:12.600
<v Speaker 7>early sense of mortality that stuck with me, which meant

0:32:12.640 --> 0:32:14.640
<v Speaker 7>I had no time to waste. I must get things done,

0:32:14.680 --> 0:32:18.400
<v Speaker 7>I must change and grow and shift, because I didn't

0:32:18.400 --> 0:32:21.040
<v Speaker 7>have that kind of time. And I think Steve Jobs

0:32:21.080 --> 0:32:23.920
<v Speaker 7>had a similar resentiment in general and then in particular

0:32:24.000 --> 0:32:26.840
<v Speaker 7>when he got sick. Most of the things he created

0:32:26.880 --> 0:32:29.400
<v Speaker 7>that we think of him as famous world though it

0:32:29.400 --> 0:32:31.880
<v Speaker 7>goes he had a long career, was in that last

0:32:31.920 --> 0:32:34.960
<v Speaker 7>few years he lived, you know, the iPhone. Just a

0:32:35.040 --> 0:32:38.000
<v Speaker 7>lot of stuff got created when he was when his

0:32:38.080 --> 0:32:41.400
<v Speaker 7>mortality was weighing on him. He gave a great speech

0:32:41.400 --> 0:32:44.040
<v Speaker 7>at Stanford about that. So I think we really did,

0:32:44.280 --> 0:32:47.040
<v Speaker 7>we did spark on that issue of times a wasting.

0:32:47.120 --> 0:32:47.800
<v Speaker 7>Let's get going.

0:32:48.080 --> 0:32:49.680
<v Speaker 3>Did you know you spend a lot of time in

0:32:49.680 --> 0:32:52.120
<v Speaker 3>the book talking about Steve Jobs, and he's not one

0:32:52.160 --> 0:32:55.760
<v Speaker 3>of the characters that you write about him in a

0:32:55.600 --> 0:32:58.760
<v Speaker 3>in a way that I like him, really liked him.

0:32:58.920 --> 0:33:00.800
<v Speaker 7>I did like very clear in the he would think

0:33:01.040 --> 0:33:04.120
<v Speaker 7>difficult guy. Difficult guy by the way, often only on

0:33:04.200 --> 0:33:07.239
<v Speaker 7>product that I ever saw him be difficult, but he

0:33:07.280 --> 0:33:09.360
<v Speaker 7>had he had his words. There's no question.

0:33:09.520 --> 0:33:11.680
<v Speaker 3>What would you think about where we are today politically?

0:33:12.000 --> 0:33:14.520
<v Speaker 7>Oh, you know, he was much he was much more liberal,

0:33:14.840 --> 0:33:17.120
<v Speaker 7>but in the traditional sense. I think he always was

0:33:17.120 --> 0:33:18.840
<v Speaker 7>trying to reach out. He spent a lot of time

0:33:18.840 --> 0:33:20.880
<v Speaker 7>talking to Rupert Murdoch trying to get him to stop

0:33:20.880 --> 0:33:24.600
<v Speaker 7>being so Rupert murdocky. You know, he reached He always

0:33:24.680 --> 0:33:27.880
<v Speaker 7>was trying to find I wouldn't say he's a peaceful person,

0:33:27.960 --> 0:33:30.760
<v Speaker 7>because that's clearly not the case, but I do think

0:33:30.760 --> 0:33:33.080
<v Speaker 7>he was. He was a seeker. As you know, he

0:33:33.160 --> 0:33:35.680
<v Speaker 7>was widely read. He one of the things I liked

0:33:35.680 --> 0:33:38.480
<v Speaker 7>about him was read widely, and he had other experiences

0:33:38.480 --> 0:33:40.440
<v Speaker 7>that had nothing to do with tech. And he had

0:33:40.840 --> 0:33:43.800
<v Speaker 7>a a sense of design and a very big respect

0:33:43.800 --> 0:33:46.840
<v Speaker 7>for privacy, that's for sure, you know. And he also

0:33:46.880 --> 0:33:49.800
<v Speaker 7>could see around corners, like he talked about podcasting with

0:33:49.840 --> 0:33:52.200
<v Speaker 7>me very first of all. He talked about privacy with

0:33:52.280 --> 0:33:55.760
<v Speaker 7>me very early. Talked about the problems of social media

0:33:55.840 --> 0:33:59.560
<v Speaker 7>being being a really toxic business model early on, and

0:33:59.560 --> 0:34:01.920
<v Speaker 7>it wasn't in his self interest. I think he thought that.

0:34:02.960 --> 0:34:05.600
<v Speaker 7>I think he would have hated much of some of

0:34:05.640 --> 0:34:07.280
<v Speaker 7>what's going on some of it. He would have.

0:34:07.360 --> 0:34:11.440
<v Speaker 1>Liked stories that didn't make the book were they're a

0:34:11.480 --> 0:34:12.799
<v Speaker 1>lot lots.

0:34:13.480 --> 0:34:17.279
<v Speaker 7>It's largely if everyone's asked me that I have a lot,

0:34:17.320 --> 0:34:19.400
<v Speaker 7>and they as I'm on this book tour, I'm like, oh,

0:34:19.560 --> 0:34:21.920
<v Speaker 7>remember that, or someone will write me, do you remember

0:34:22.000 --> 0:34:24.480
<v Speaker 7>when I was like, yeah, I don't know. I don't know.

0:34:24.520 --> 0:34:26.040
<v Speaker 7>I just you know, I feel like if I've forgotten them,

0:34:26.080 --> 0:34:28.360
<v Speaker 7>they weren't important, right, or you know, I don't have

0:34:28.400 --> 0:34:30.560
<v Speaker 7>a lot about Yahoo. I wrote a lot about Yaho's

0:34:30.640 --> 0:34:32.879
<v Speaker 7>ups and downs over the years, and I just didn't

0:34:32.920 --> 0:34:35.040
<v Speaker 7>think it mattered at this point, Like I put in

0:34:35.080 --> 0:34:38.520
<v Speaker 7>the amount that I thought mattered certain companies. There was

0:34:38.560 --> 0:34:40.520
<v Speaker 7>a company someone mentioned the other day and I wrote

0:34:40.560 --> 0:34:43.000
<v Speaker 7>a lot about it, and I was like, oh, yeah,

0:34:43.040 --> 0:34:46.040
<v Speaker 7>like that, Like I run thousands and thousands of stories

0:34:46.080 --> 0:34:50.120
<v Speaker 7>and interviewing thousands of people, and so you know, I

0:34:50.120 --> 0:34:52.200
<v Speaker 7>don't know, I just know it's gone.

0:34:52.320 --> 0:34:55.160
<v Speaker 1>It's sorry, no, that's okay. But like we talked about Elon,

0:34:55.239 --> 0:34:58.640
<v Speaker 1>Steve Jobs, Mark Zuckerberg's in the book, Sheryl Sandberg, Dave Goldberg,

0:34:58.680 --> 0:35:02.320
<v Speaker 1>Bill Gates, readA Hoff, and everybody who's anyone in the

0:35:02.360 --> 0:35:05.239
<v Speaker 1>tech industry over the last couple of decades and then

0:35:05.320 --> 0:35:08.600
<v Speaker 1>some If you had one person that you could just

0:35:09.040 --> 0:35:12.400
<v Speaker 1>sit down and just go everywhere and anywhere, alive or not,

0:35:13.080 --> 0:35:13.680
<v Speaker 1>who would it be?

0:35:14.160 --> 0:35:16.440
<v Speaker 7>It still be Steve. He was the most interesting interview

0:35:16.520 --> 0:35:20.520
<v Speaker 7>I did. There's a lot of interesting ones I really enjoy.

0:35:20.600 --> 0:35:22.520
<v Speaker 7>You know, it's deep pends it's not you Nadella. I

0:35:22.560 --> 0:35:25.719
<v Speaker 7>find really interesting because he's had a very interesting life

0:35:25.760 --> 0:35:28.800
<v Speaker 7>being an immigrant. He has family challenges as two of

0:35:28.880 --> 0:35:33.640
<v Speaker 7>his kids have learning issues and quite severely. You know,

0:35:33.719 --> 0:35:36.120
<v Speaker 7>he's a person I think. I'm trying to think if

0:35:36.120 --> 0:35:38.879
<v Speaker 7>I always like talking to Barry Diller. He's just fantastic,

0:35:39.000 --> 0:35:42.080
<v Speaker 7>and he's a summa change the right shifts. Yeah, not

0:35:42.239 --> 0:35:44.759
<v Speaker 7>just that he's so smart. A lot of stuff he said,

0:35:44.800 --> 0:35:47.440
<v Speaker 7>when I go back and look at it is spot on.

0:35:47.560 --> 0:35:50.960
<v Speaker 7>I just did an interview with him about copyright and

0:35:51.040 --> 0:35:53.040
<v Speaker 7>AI and he was the first of that, you know,

0:35:53.280 --> 0:35:56.120
<v Speaker 7>understanding that. I just think he's funny. I just think

0:35:56.120 --> 0:35:58.359
<v Speaker 7>he's smart. I think he thinks about a lot of things.

0:35:58.560 --> 0:36:01.600
<v Speaker 7>I always enjoyed talking to him. I'm trying to think

0:36:01.640 --> 0:36:03.279
<v Speaker 7>of who in tech, you know, I like talking to

0:36:03.280 --> 0:36:06.799
<v Speaker 7>Sam Altman He's got a very quick mind, and he

0:36:06.880 --> 0:36:09.440
<v Speaker 7>always did and it's really developed. I like anyone who

0:36:09.920 --> 0:36:12.919
<v Speaker 7>develop I have to say someone living Mark Cuban, he's

0:36:12.960 --> 0:36:15.480
<v Speaker 7>a gas. He's interested change.

0:36:15.520 --> 0:36:16.960
<v Speaker 1>I'm a little obsessed with Yeah.

0:36:17.960 --> 0:36:21.200
<v Speaker 7>Beyond that, he's a really thoughtful person and smart.

0:36:21.200 --> 0:36:21.440
<v Speaker 9>He was.

0:36:21.600 --> 0:36:23.960
<v Speaker 7>He did a whole thing on DEI on Twitter and

0:36:24.239 --> 0:36:27.399
<v Speaker 7>I literally was like, godspeed, Mark, Like these people are

0:36:27.400 --> 0:36:30.319
<v Speaker 7>just going to call you names, including Alamos. You's like

0:36:30.320 --> 0:36:33.399
<v Speaker 7>you're a moron, You're a reader. He's very thoughtful and

0:36:33.440 --> 0:36:34.480
<v Speaker 7>has has progressed.

0:36:34.560 --> 0:36:36.560
<v Speaker 3>Kara, I do want to We only have a couple

0:36:36.560 --> 0:36:38.120
<v Speaker 3>of minutes left and I wanted to get a few

0:36:38.120 --> 0:36:40.560
<v Speaker 3>more questions in. And you didn't talk at all about

0:36:40.560 --> 0:36:43.440
<v Speaker 3>this in the book, but politics in San Francisco. I

0:36:43.480 --> 0:36:45.759
<v Speaker 3>know in the past you toyed with the idea of

0:36:45.840 --> 0:36:49.160
<v Speaker 3>running for mayor of San Francisco. You were very serious

0:36:49.200 --> 0:36:51.319
<v Speaker 3>about it at a certain point. Given what's going on

0:36:51.360 --> 0:36:53.920
<v Speaker 3>in San Francisco now and your prominence, your love for

0:36:53.960 --> 0:36:56.040
<v Speaker 3>the city, would you ever consider that again?

0:36:57.160 --> 0:36:59.360
<v Speaker 7>No, I got to have two kids during COVID instead

0:36:59.400 --> 0:37:01.439
<v Speaker 7>two more kids, So no, I don't have the time

0:37:01.480 --> 0:37:03.959
<v Speaker 7>to do that. I have two Toddler's you know going

0:37:04.000 --> 0:37:06.800
<v Speaker 7>on in San Francisco. Actually san Francisco solving the problem.

0:37:06.920 --> 0:37:10.239
<v Speaker 7>Other cities are now suffering from what San Francisco initially.

0:37:10.760 --> 0:37:13.759
<v Speaker 7>San Francisco is always first, good or bad, right, and

0:37:13.840 --> 0:37:16.560
<v Speaker 7>so they're doing some innovative things. They're trying to change things.

0:37:17.000 --> 0:37:19.960
<v Speaker 7>Most cities are suffering because of COVID and the fall

0:37:19.960 --> 0:37:22.080
<v Speaker 7>off and commercial real estate and the changes in work,

0:37:22.680 --> 0:37:24.919
<v Speaker 7>and San Francisco got to hit first. And I think

0:37:24.920 --> 0:37:27.520
<v Speaker 7>it's look, guess what's happening in San Francisco right now?

0:37:27.560 --> 0:37:30.280
<v Speaker 7>All the AI companies are there now, all the important

0:37:30.239 --> 0:37:33.720
<v Speaker 7>ail done there. Oh yeah they are. Oh the guys

0:37:33.719 --> 0:37:35.879
<v Speaker 7>who just kicked it in the teeth and then ran off,

0:37:35.920 --> 0:37:37.880
<v Speaker 7>they're back. Because it's the best place on earth for

0:37:38.040 --> 0:37:41.919
<v Speaker 7>innovation still. And so it's the most beautiful place. And

0:37:42.120 --> 0:37:44.319
<v Speaker 7>we have our problems. We're not running away from it,

0:37:44.640 --> 0:37:46.880
<v Speaker 7>but we also have the ben It is a magical

0:37:46.920 --> 0:37:49.640
<v Speaker 7>place and it always has been, you know, through the

0:37:49.680 --> 0:37:53.000
<v Speaker 7>Summer of Love to the you know, the gold Rush,

0:37:53.080 --> 0:37:56.520
<v Speaker 7>to everything else. It's a physically beautiful place. It's always

0:37:56.520 --> 0:37:59.680
<v Speaker 7>has ideas and I do believe in analog in some

0:37:59.760 --> 0:38:03.000
<v Speaker 7>place I have to say in history. It will go

0:38:03.080 --> 0:38:06.719
<v Speaker 7>down as one of the great important cities of humanity.

0:38:07.160 --> 0:38:09.000
<v Speaker 1>All Right, we just have thirty seconds.

0:38:09.080 --> 0:38:09.600
<v Speaker 7>I'm running for.

0:38:09.640 --> 0:38:13.160
<v Speaker 1>Mayor now, no, I come on, we just want to headline.

0:38:13.200 --> 0:38:16.520
<v Speaker 1>You know that. Hey thirty now, I'm sorry, No thirty seconds.

0:38:16.560 --> 0:38:18.960
<v Speaker 1>How would you advise a Kara Swisher just beginning her

0:38:18.960 --> 0:38:21.640
<v Speaker 1>career today because media has changed dramatically very quickly, and

0:38:21.719 --> 0:38:23.200
<v Speaker 1>forgive me for not giving you more time.

0:38:23.600 --> 0:38:26.879
<v Speaker 7>That's okay, be exactly who you were and are. That's

0:38:26.880 --> 0:38:28.439
<v Speaker 7>what I would say. You're pretty good.

0:38:28.760 --> 0:38:33.120
<v Speaker 1>Amen's sister, Amen, listen, good luck. We really enjoyed the read,

0:38:33.560 --> 0:38:35.040
<v Speaker 1>and thank you so much for giving us such a

0:38:35.040 --> 0:38:38.400
<v Speaker 1>big chunk of time. So appreciate it. Karra Swisher, everybody,

0:38:38.400 --> 0:38:40.719
<v Speaker 1>thank you. Her new book is burn Book, a Tech

0:38:40.760 --> 0:38:43.440
<v Speaker 1>Love Story. Got to say, there's so many great tidbits

0:38:43.440 --> 0:38:45.680
<v Speaker 1>about being in the green room with individuals, being on

0:38:45.760 --> 0:38:49.440
<v Speaker 1>stage with Mark Zuckerberg and others, and just getting into

0:38:49.520 --> 0:38:51.440
<v Speaker 1>a lot of the topics that we you and I

0:38:51.520 --> 0:38:52.680
<v Speaker 1>talk about a lot day to day.

0:38:52.760 --> 0:38:54.799
<v Speaker 3>Also just interesting on the business side, hearing how the

0:38:54.840 --> 0:38:56.880
<v Speaker 3>audiobook is outselling the print book.

0:38:57.000 --> 0:38:59.280
<v Speaker 1>I love this podcast effect Walk the Dogs.

0:39:06.640 --> 0:39:10.520
<v Speaker 2>You're listening to the Bloomberg Business Week Podcast. Listen live

0:39:10.600 --> 0:39:13.799
<v Speaker 2>each weekday starting at two pm Eastern on applecar Play

0:39:13.840 --> 0:39:16.680
<v Speaker 2>and Android Auto with the Bloomberg Business Ad. You can

0:39:16.719 --> 0:39:19.960
<v Speaker 2>also listen live on Amazon Alexa from our flagship New

0:39:20.040 --> 0:39:23.680
<v Speaker 2>York station, Just say Alexa play Bloomberg eleven thirty.

0:39:24.680 --> 0:39:25.359
<v Speaker 7>Funny Ahead in.

0:39:25.280 --> 0:39:27.959
<v Speaker 1>Our second hour of the weekend edition of Bloomberg Business Week,

0:39:28.239 --> 0:39:32.440
<v Speaker 1>including building robots. Yeah, kind of easiest for me, but

0:39:32.520 --> 0:39:35.879
<v Speaker 1>they're out there. I gotta say, what is this? Maybe

0:39:35.880 --> 0:39:38.600
<v Speaker 1>be tough for building a software brain for robots? Not

0:39:38.680 --> 0:39:41.200
<v Speaker 1>so easy. One company they're working to do just that.

0:39:41.400 --> 0:39:46.160
<v Speaker 1>And it's CEO giving his first interview to our Ashley Vance, plus.

0:39:45.840 --> 0:39:49.600
<v Speaker 3>The startup airline that's luring flyers away. Also the London

0:39:49.760 --> 0:39:53.480
<v Speaker 3>trader turned founder of Natterjack Whiskey and going for the

0:39:53.600 --> 0:39:55.239
<v Speaker 3>godshot of espresso at home?

0:39:55.320 --> 0:39:56.440
<v Speaker 1>Did you even know what that is?

0:39:56.760 --> 0:39:59.440
<v Speaker 3>So I'm guilty as charged with being like this article

0:39:59.520 --> 0:40:01.840
<v Speaker 3>spoke to me because I have some of this equipment

0:40:01.840 --> 0:40:04.840
<v Speaker 3>at home. I've never heard of the godshot.

0:40:04.960 --> 0:40:07.360
<v Speaker 1>I didn't either, anyway, we were all a kind of googling. Anyway,

0:40:07.560 --> 0:40:09.560
<v Speaker 1>you will hear more about it later on. All right,

0:40:09.600 --> 0:40:11.200
<v Speaker 1>First up, this hour. We want to get to a

0:40:11.200 --> 0:40:13.359
<v Speaker 1>story that's about the AI craze, but with a bit

0:40:13.400 --> 0:40:17.080
<v Speaker 1>of a twist. Turns out, yeah, making robots smart well

0:40:17.200 --> 0:40:21.120
<v Speaker 1>not so easy. Enter Physical Intelligence, giving its first public

0:40:21.160 --> 0:40:24.239
<v Speaker 1>interview since founding the company, giving that interview to our

0:40:24.280 --> 0:40:26.719
<v Speaker 1>Ashley Vance, Bloomberg Business Week Features writer.

0:40:27.080 --> 0:40:29.960
<v Speaker 3>Ashley is also the author of Elon Musk, Tesla, SpaceX,

0:40:29.960 --> 0:40:32.239
<v Speaker 3>and the Quest for a Fantastic Future and When the

0:40:32.280 --> 0:40:35.160
<v Speaker 3>Heavens went on Sale, the Misfits and Geniuses racing to

0:40:35.200 --> 0:40:37.880
<v Speaker 3>put space within reach. He's our go to for a

0:40:37.920 --> 0:40:39.600
<v Speaker 3>peek into our world's future.

0:40:39.960 --> 0:40:44.120
<v Speaker 10>Every science fiction world I think we've ever encountered usually

0:40:44.160 --> 0:40:48.080
<v Speaker 10>has very smart computers and very smart androids and other

0:40:48.160 --> 0:40:51.759
<v Speaker 10>robots walking around. But our world has been different. These

0:40:52.040 --> 0:40:55.239
<v Speaker 10>large language models that have become so famous from open

0:40:55.280 --> 0:40:58.560
<v Speaker 10>ai and Google and others, you know, they're stuck on

0:40:58.640 --> 0:41:02.200
<v Speaker 10>our computers and our robots and factories and even in

0:41:02.239 --> 0:41:07.000
<v Speaker 10>the home have lagged behind this new, more general purpose

0:41:07.080 --> 0:41:08.319
<v Speaker 10>form of intelligence.

0:41:08.400 --> 0:41:11.000
<v Speaker 1>All right, So then take us to Physical Intelligence, the

0:41:11.040 --> 0:41:12.800
<v Speaker 1>company that you write about and the CEO that you

0:41:12.880 --> 0:41:15.400
<v Speaker 1>got to talk to the first interview since these guys

0:41:15.400 --> 0:41:18.000
<v Speaker 1>were founded Telsa, who they are and what they're up to,

0:41:18.160 --> 0:41:19.200
<v Speaker 1>because they're trying to change this.

0:41:20.440 --> 0:41:24.160
<v Speaker 10>Yeah, I mean it's it's it's a collection of robotics

0:41:24.160 --> 0:41:27.000
<v Speaker 10>and AI experts. A bunch of them come from Google.

0:41:27.040 --> 0:41:29.600
<v Speaker 10>Google's had this this robotics team for a long time.

0:41:29.640 --> 0:41:33.399
<v Speaker 10>And then and then there's some professors and some entrepreneurs

0:41:33.480 --> 0:41:37.960
<v Speaker 10>in this group. And the big problem here is that

0:41:38.760 --> 0:41:41.520
<v Speaker 10>the AI that were used to these chatbots, they get

0:41:41.560 --> 0:41:45.040
<v Speaker 10>fed with all of the billions and trillions of words

0:41:45.040 --> 0:41:47.440
<v Speaker 10>on the Internet and books we've written, and so the

0:41:47.520 --> 0:41:51.040
<v Speaker 10>quest is how do you feed robots enough data to

0:41:51.120 --> 0:41:54.839
<v Speaker 10>train them on these these AI models? And and this

0:41:54.880 --> 0:41:58.120
<v Speaker 10>group of researchers they just think this time has come

0:41:58.440 --> 0:42:02.240
<v Speaker 10>where we can gather enough data in the right way

0:42:02.440 --> 0:42:06.000
<v Speaker 10>to make a general purpose robotics brain. So not not

0:42:06.200 --> 0:42:10.120
<v Speaker 10>software for one robot, but a type of operating system

0:42:10.280 --> 0:42:12.560
<v Speaker 10>that you could apply to any machine and it would

0:42:12.600 --> 0:42:16.480
<v Speaker 10>have this this base level of intelligence to perform tasks.

0:42:17.480 --> 0:42:20.720
<v Speaker 3>How do you teach Ashley, a robot to tie a shoe,

0:42:20.719 --> 0:42:24.719
<v Speaker 3>for example, to do a basic task? Yeah, this part's cool.

0:42:24.800 --> 0:42:26.319
<v Speaker 10>So you know the way this has been done for

0:42:26.320 --> 0:42:28.640
<v Speaker 10>the last like five or ten years is you buy

0:42:28.719 --> 0:42:31.040
<v Speaker 10>a bunch of robotic arms, or you build them and

0:42:31.080 --> 0:42:34.080
<v Speaker 10>you have them tie a shoe about a million or

0:42:34.120 --> 0:42:37.759
<v Speaker 10>ten million times until that you tell it what it's

0:42:37.800 --> 0:42:39.879
<v Speaker 10>doing a bad job and what it's doing a good job,

0:42:39.920 --> 0:42:43.239
<v Speaker 10>and eventually this little robot handk ti shoe. What these

0:42:43.280 --> 0:42:45.600
<v Speaker 10>guys are talking about is this new era where you

0:42:45.640 --> 0:42:50.600
<v Speaker 10>do actually take the language AI models and infuse it

0:42:50.960 --> 0:42:54.560
<v Speaker 10>into these physical models. And so now already today this

0:42:54.600 --> 0:42:57.320
<v Speaker 10>is happening where you can tell one of these robots

0:42:57.400 --> 0:43:00.960
<v Speaker 10>tie a shoe. And because of these language models, it

0:43:01.040 --> 0:43:04.520
<v Speaker 10>probably and you know, all of our image and video models,

0:43:04.560 --> 0:43:07.120
<v Speaker 10>it has a pretty good idea of what the concept

0:43:07.160 --> 0:43:10.160
<v Speaker 10>of a shoe is, what the shoelaces are. There's probably

0:43:10.680 --> 0:43:13.360
<v Speaker 10>a lot of videos on the Internet of people teaching

0:43:13.440 --> 0:43:15.640
<v Speaker 10>kids to tie shoes, and so it sort of comes

0:43:15.680 --> 0:43:17.799
<v Speaker 10>in with this knowledge. Same sort of thing. If you said,

0:43:18.360 --> 0:43:22.200
<v Speaker 10>you know, pick the coke can off the table, it

0:43:22.239 --> 0:43:24.359
<v Speaker 10>will know what a coke can is and be able

0:43:24.400 --> 0:43:27.000
<v Speaker 10>to separate that object from other objects. So they're trying

0:43:27.000 --> 0:43:30.719
<v Speaker 10>to piggyback on this base level of general intelligence and

0:43:30.760 --> 0:43:33.120
<v Speaker 10>then build the mechanical parts into it.

0:43:33.200 --> 0:43:36.840
<v Speaker 3>Actually, when this processing is happening in real time, is

0:43:36.880 --> 0:43:41.200
<v Speaker 3>it happening separate from the cloud. That is, is the

0:43:41.239 --> 0:43:45.200
<v Speaker 3>actual brain of something with physical intelligence, like is the

0:43:45.360 --> 0:43:48.920
<v Speaker 3>is the vision for that actual brain to be physically

0:43:49.600 --> 0:43:53.839
<v Speaker 3>inside the robot versus that actually that processing happening off

0:43:53.880 --> 0:43:57.399
<v Speaker 3>site in the cloud, independent from you know, the physical thing.

0:43:58.239 --> 0:44:01.040
<v Speaker 10>Yeah, like to to a degree. All these models have

0:44:01.120 --> 0:44:05.200
<v Speaker 10>to get trained in the cloud because they require tens

0:44:05.200 --> 0:44:08.600
<v Speaker 10>of thousands of these these graphics chips to do the training.

0:44:08.640 --> 0:44:10.680
<v Speaker 10>But we're seeing more and more even with like a

0:44:10.760 --> 0:44:13.960
<v Speaker 10>language model. You know, you can ask chat GPT questions

0:44:13.960 --> 0:44:16.719
<v Speaker 10>on your cell phone and have them answered. So the

0:44:16.800 --> 0:44:19.680
<v Speaker 10>part where you've trained the model happens off in the

0:44:19.680 --> 0:44:22.200
<v Speaker 10>cloud and these huge data centers. But but the robots

0:44:22.239 --> 0:44:25.280
<v Speaker 10>will have this kind of local intelligence.

0:44:24.800 --> 0:44:27.560
<v Speaker 1>Just like just like we do, you know, talking to

0:44:27.640 --> 0:44:30.160
<v Speaker 1>chech GPT to create a poem or something. Is that

0:44:30.400 --> 0:44:35.560
<v Speaker 1>easier than actually, you know, getting the next generation AI

0:44:35.719 --> 0:44:39.680
<v Speaker 1>to teach someone to physically do something? And I guess

0:44:39.719 --> 0:44:41.839
<v Speaker 1>what's the data sets on that? Are there less data

0:44:41.880 --> 0:44:46.080
<v Speaker 1>sets on that to actually teach these physical capabilities?

0:44:46.920 --> 0:44:47.360
<v Speaker 7>Absolutely?

0:44:47.400 --> 0:44:48.799
<v Speaker 10>Yeah, I don't want to make it sound like this

0:44:48.880 --> 0:44:50.040
<v Speaker 10>is a done deal.

0:44:50.120 --> 0:44:51.680
<v Speaker 1>It's sort of I just want someone at home to

0:44:51.680 --> 0:44:54.120
<v Speaker 1>do my laundry other than me. That's what I'm talking about, Ashley.

0:44:54.280 --> 0:44:56.600
<v Speaker 10>We're we're got close, We're got clothes. I mean, it's

0:44:56.640 --> 0:44:59.480
<v Speaker 10>funny because robotics, I think we've had these sort of

0:44:59.520 --> 0:45:02.440
<v Speaker 10>like false hopes so many times where it seems like

0:45:02.480 --> 0:45:05.319
<v Speaker 10>they're about to do all these incredible things and they

0:45:05.560 --> 0:45:08.359
<v Speaker 10>never seem to do it. And the challenges here are real.

0:45:08.440 --> 0:45:12.440
<v Speaker 10>I mean, this gathering of the data is still a problem.

0:45:12.560 --> 0:45:16.239
<v Speaker 10>Physical Intelligence's plan is to most of the companies so

0:45:16.280 --> 0:45:18.960
<v Speaker 10>far they've built their own robot and it's a single thing,

0:45:19.000 --> 0:45:22.120
<v Speaker 10>and they train that single thing really well. Physical Intelligence

0:45:22.200 --> 0:45:26.160
<v Speaker 10>wants to buy robots from everybody, smart machines from everybody,

0:45:26.719 --> 0:45:28.960
<v Speaker 10>train this general purpose data set. So there's going to

0:45:29.000 --> 0:45:32.480
<v Speaker 10>buy them, run their AI software through it, and gather

0:45:32.560 --> 0:45:35.800
<v Speaker 10>this data. But then they also think we are because

0:45:35.800 --> 0:45:38.360
<v Speaker 10>of the advances that have happened in AI the last

0:45:38.480 --> 0:45:41.840
<v Speaker 10>four years, that we're at a new spot where a

0:45:41.960 --> 0:45:45.319
<v Speaker 10>new era of robotics is possible. But you know, all

0:45:45.360 --> 0:45:48.520
<v Speaker 10>of this is theoretical. They're not the only company trying

0:45:48.560 --> 0:45:50.600
<v Speaker 10>to do this. It's a bit of a race now

0:45:50.640 --> 0:45:53.480
<v Speaker 10>that has just begun this year, and you know, we'll

0:45:53.480 --> 0:45:56.239
<v Speaker 10>see if somebody can actually solve this problem.

0:45:56.600 --> 0:45:58.560
<v Speaker 3>Our go to for a peek into the future of

0:45:58.560 --> 0:46:02.319
<v Speaker 3>this world. Ashley Advanceloomberg Business Week Features writer actually also

0:46:02.400 --> 0:46:05.240
<v Speaker 3>the author of Elon Musk, Tesla, SpaceX and the Quest

0:46:05.280 --> 0:46:08.240
<v Speaker 3>for a Fantastic Future And when the Heavens went on sale,

0:46:08.440 --> 0:46:11.640
<v Speaker 3>the misfits and geniuses racing to put space within reach.

0:46:11.760 --> 0:46:14.520
<v Speaker 1>All right, everybody, as we wait for robots to possibly

0:46:14.600 --> 0:46:17.600
<v Speaker 1>possibly disrupt the airline industry, I mean, computers already doing

0:46:17.600 --> 0:46:19.120
<v Speaker 1>a lot of the work when it comes to flying,

0:46:19.160 --> 0:46:22.600
<v Speaker 1>to be fair, But there is one airline upstart that's

0:46:22.719 --> 0:46:26.600
<v Speaker 1>already shaking things up. It is JSX, a Dallas based

0:46:26.640 --> 0:46:30.040
<v Speaker 1>airline beloved by work travelers for offering convenience, such as

0:46:30.320 --> 0:46:32.960
<v Speaker 1>a chartered plane at near business class prices.

0:46:33.320 --> 0:46:36.160
<v Speaker 3>Instead of flying from packed hubs, it flies from sparse

0:46:36.200 --> 0:46:39.520
<v Speaker 3>private hangars in exchange for the amenities of a big airport.

0:46:39.600 --> 0:46:43.400
<v Speaker 3>Passengers get convenience in lieu of long TSA baggage screening lines,

0:46:43.719 --> 0:46:46.399
<v Speaker 3>they get their bags swabbed for explosives, and they walk

0:46:46.480 --> 0:46:47.880
<v Speaker 3>through a weapons detector.

0:46:48.000 --> 0:46:50.520
<v Speaker 1>But JASX is only able to exist thanks to what

0:46:50.680 --> 0:46:54.760
<v Speaker 1>some airline rivals say is an FAA loophole. The founder

0:46:54.760 --> 0:46:57.520
<v Speaker 1>and CEO counters that they're just annoyed he's treading on

0:46:57.560 --> 0:46:59.680
<v Speaker 1>their turf. To check it out, we caught up with

0:46:59.760 --> 0:47:03.239
<v Speaker 1>Alex Wilcox. He's founder and CEO of JSX, along with

0:47:03.280 --> 0:47:06.359
<v Speaker 1>Mary Schlangenstein. She is Bloomberg News US airlines reporter who

0:47:06.400 --> 0:47:09.560
<v Speaker 1>recently wrote about the airline that's drawn a cult following.

0:47:09.960 --> 0:47:13.040
<v Speaker 9>They put together two different types of certified air carriers

0:47:13.040 --> 0:47:15.840
<v Speaker 9>and they were able to mix, you know, a public

0:47:15.920 --> 0:47:19.720
<v Speaker 9>charter with what becomes a private charter with two different

0:47:19.800 --> 0:47:24.120
<v Speaker 9>types of airlines and airline certifications, and basically it lets

0:47:24.160 --> 0:47:27.239
<v Speaker 9>them fly in aircraft with more seats, but they don't

0:47:27.239 --> 0:47:30.360
<v Speaker 9>have to have the normal TSA scanning, they don't have

0:47:30.400 --> 0:47:32.799
<v Speaker 9>to have pilots that are younger than sixty five, They

0:47:32.800 --> 0:47:36.320
<v Speaker 9>can have pilots with less flight experience, and so taking

0:47:36.400 --> 0:47:39.759
<v Speaker 9>advantage of those rules is what's raised some objections to

0:47:39.920 --> 0:47:42.920
<v Speaker 9>JSX and other carriers like it, but it's also allowed

0:47:42.920 --> 0:47:43.600
<v Speaker 9>them to operate.

0:47:44.160 --> 0:47:46.600
<v Speaker 1>Alex, come on in on this because regulators, you know,

0:47:46.680 --> 0:47:48.560
<v Speaker 1>knew what you were doing. They signed off. What do

0:47:48.600 --> 0:47:51.120
<v Speaker 1>you say to some of these these critics who talk

0:47:51.160 --> 0:47:53.160
<v Speaker 1>about you maybe taking advantage of a loophole.

0:47:53.880 --> 0:47:56.120
<v Speaker 8>Well, I mean, I guess one person's loophole is another

0:47:56.160 --> 0:47:59.160
<v Speaker 8>person's law, and it is just law. It's forty to

0:47:59.200 --> 0:48:02.399
<v Speaker 8>forty five year old established law. It's law that even

0:48:02.440 --> 0:48:05.160
<v Speaker 8>American Airlines does you know, it operates under.

0:48:05.200 --> 0:48:05.719
<v Speaker 2>And they're they're the.

0:48:05.680 --> 0:48:08.520
<v Speaker 8>Biggest complainer of the group here. American Airlines has a

0:48:08.520 --> 0:48:11.399
<v Speaker 8>co chair with Contour, which is another Part one thirty

0:48:11.360 --> 0:48:14.440
<v Speaker 8>five air carrier that operates exactly under the exact same rules,

0:48:14.440 --> 0:48:19.040
<v Speaker 8>with the exact same pile experience requirements. They also sell

0:48:19.080 --> 0:48:21.360
<v Speaker 8>tickets as in American Airlines, but you actually wind up

0:48:21.400 --> 0:48:24.600
<v Speaker 8>flying on Contour or Envoy or sky West or japan

0:48:24.640 --> 0:48:27.480
<v Speaker 8>Airlines or Goal in Brazil, which only has a two

0:48:27.560 --> 0:48:30.960
<v Speaker 8>hundred fifty hour captain you know rating requirement. So this

0:48:31.080 --> 0:48:33.440
<v Speaker 8>is the pot calling the kettle black. They just don't

0:48:33.480 --> 0:48:36.160
<v Speaker 8>like us, and every argument they make against us is

0:48:36.280 --> 0:48:40.719
<v Speaker 8>hypocritical when it comes to operations, and a lot of

0:48:40.760 --> 0:48:43.680
<v Speaker 8>the people that are commenting about safety and security really

0:48:43.760 --> 0:48:46.200
<v Speaker 8>are not qualified to do so. So we're very proud

0:48:46.239 --> 0:48:50.880
<v Speaker 8>of our achievements, are near decade of flawless operations, and

0:48:52.280 --> 0:48:56.040
<v Speaker 8>we see this purely as competitive competitive anxiety.

0:48:56.200 --> 0:48:59.560
<v Speaker 1>Alex having said that your success. Sometimes success brings a

0:48:59.560 --> 0:49:02.640
<v Speaker 1>lot more eye balls, including those of regulators. Are regulators

0:49:02.680 --> 0:49:04.120
<v Speaker 1>coming out to you and saying, well, wait a minute,

0:49:04.120 --> 0:49:05.200
<v Speaker 1>maybe we need to rethink this.

0:49:06.760 --> 0:49:09.879
<v Speaker 8>No, I mean there's been because of the efforts of

0:49:10.200 --> 0:49:14.279
<v Speaker 8>two Dallas based competitors and their trade unions. They've been

0:49:14.440 --> 0:49:17.160
<v Speaker 8>begging the regulators to pay attention to us. They went

0:49:17.160 --> 0:49:19.400
<v Speaker 8>through the DOT, they got turned away. They went to

0:49:19.480 --> 0:49:22.360
<v Speaker 8>the FAA, eighty thousand of our customers came out in

0:49:22.440 --> 0:49:25.279
<v Speaker 8>strong defense of us, turned them away. They went to

0:49:25.320 --> 0:49:29.439
<v Speaker 8>the US Congress in connection with the current FAA Reauthorization Act,

0:49:29.480 --> 0:49:32.239
<v Speaker 8>and they tried to get us outlawed under the reauthorization

0:49:32.880 --> 0:49:35.680
<v Speaker 8>and politicians from both sides of the aisle rallied to

0:49:35.719 --> 0:49:36.240
<v Speaker 8>our support.

0:49:36.360 --> 0:49:36.720
<v Speaker 7>Again.

0:49:37.480 --> 0:49:39.160
<v Speaker 8>Now they're trying to TSA. They're trying to do with

0:49:39.239 --> 0:49:42.440
<v Speaker 8>sub Rosa, with the TSA, with all kinds of baseless

0:49:42.440 --> 0:49:46.840
<v Speaker 8>threats about security and terrorism and very irresponsible things that frankly,

0:49:46.880 --> 0:49:49.800
<v Speaker 8>as an industry, we've always agreed we would never compete

0:49:49.800 --> 0:49:55.080
<v Speaker 8>on safety and security matters. And so Southwest and excuse me,

0:49:55.120 --> 0:49:57.960
<v Speaker 8>Southwest and American airlines have crossed that line.

0:49:58.120 --> 0:49:59.440
<v Speaker 7>And that is a.

0:49:59.280 --> 0:50:01.920
<v Speaker 8>Dangerous line of because it actually makes the entire industry

0:50:02.040 --> 0:50:04.479
<v Speaker 8>less safe because it makes people unwilling to talk about

0:50:04.800 --> 0:50:06.759
<v Speaker 8>safety and security in an open way, which is the

0:50:06.760 --> 0:50:08.360
<v Speaker 8>way we make the system better.

0:50:08.520 --> 0:50:10.320
<v Speaker 9>Alex I wanted to ask you if you've heard anything

0:50:10.320 --> 0:50:12.680
<v Speaker 9>from the FAA, if you've gotten any feedback from them

0:50:12.719 --> 0:50:15.279
<v Speaker 9>in terms of the timing of their decision, and then

0:50:15.360 --> 0:50:17.960
<v Speaker 9>also if you've heard anything from the TSA, which was

0:50:18.000 --> 0:50:21.640
<v Speaker 9>expected to issue some proposed recommendations fairly soon.

0:50:22.480 --> 0:50:27.080
<v Speaker 8>Thanks Mary. Now, the FAA has not communicated they're going

0:50:27.120 --> 0:50:28.879
<v Speaker 8>to be taking any action. They've got to read through

0:50:28.920 --> 0:50:31.920
<v Speaker 8>those seventy thousand comments first and obviously respond to the

0:50:31.960 --> 0:50:35.040
<v Speaker 8>concerns rates and those things, and then if they're going

0:50:35.120 --> 0:50:36.880
<v Speaker 8>to make a rule change, they're going to have to

0:50:36.880 --> 0:50:39.640
<v Speaker 8>go through the regular administrative process to do so, so

0:50:39.680 --> 0:50:42.759
<v Speaker 8>it'll be an NPRM, a noticeable posed rule making that

0:50:42.880 --> 0:50:45.359
<v Speaker 8>actually addresses whatever rule they may or may not make.

0:50:45.719 --> 0:50:47.279
<v Speaker 8>We believe that if they are are going to be

0:50:47.280 --> 0:50:49.719
<v Speaker 8>new rules, they will actually be modeled upon how we

0:50:49.760 --> 0:50:52.719
<v Speaker 8>operate today. We go well above and beyond many of

0:50:52.719 --> 0:50:55.560
<v Speaker 8>the rules that do apply to us already. In some cases,

0:50:55.600 --> 0:50:57.200
<v Speaker 8>we go above and beyond the rules that apply to

0:50:57.200 --> 0:51:00.680
<v Speaker 8>the major airlines as well. With respect to the TSA,

0:51:01.560 --> 0:51:05.720
<v Speaker 8>they will respond to real threats from real bad guys

0:51:05.760 --> 0:51:10.480
<v Speaker 8>and not from retired airline executives who are taking potshots.

0:51:10.800 --> 0:51:14.640
<v Speaker 3>That's Alex Wilcox, founder and CEO of JSX, and Mary Schlangenstein,

0:51:14.760 --> 0:51:16.640
<v Speaker 3>Bloomberg News US Airlines reporter.

0:51:16.719 --> 0:51:19.080
<v Speaker 1>You're listening to Bloomberg Business Week. Still to come a

0:51:19.160 --> 0:51:21.440
<v Speaker 1>London trader turned whiskey entrepreneur.

0:51:21.760 --> 0:51:23.960
<v Speaker 3>Yeah, I was actually out on this day. You are

0:51:24.000 --> 0:51:24.680
<v Speaker 3>you missed a lot.

0:51:24.840 --> 0:51:27.600
<v Speaker 1>I know it's two different kinds of whiskey resampled.

0:51:27.760 --> 0:51:30.440
<v Speaker 3>Well, okay, we'll make up for it. The founder of

0:51:30.480 --> 0:51:33.719
<v Speaker 3>Natterjack Whiskey coming up next. This is Bloomberg.

0:51:34.680 --> 0:51:38.200
<v Speaker 2>You're listening to the Bloomberg Business Week podcast. Catch us

0:51:38.239 --> 0:51:41.480
<v Speaker 2>live weekday afternoons from two to five pm Eastern Listen

0:51:41.520 --> 0:51:43.680
<v Speaker 2>on Apple car Play and then Broun Auto with a

0:51:43.680 --> 0:51:48.040
<v Speaker 2>Bloomberg Business act or watch us live on YouTube.

0:51:48.680 --> 0:51:50.360
<v Speaker 1>Safe to say there was a fair amount of whiskey

0:51:50.400 --> 0:51:54.200
<v Speaker 1>recently consumed during last weekend Saint Patrick's Day celebrations. Bloomberg

0:51:54.239 --> 0:51:56.719
<v Speaker 1>News noting late last year that the global market for

0:51:56.760 --> 0:52:00.720
<v Speaker 1>whiskeys is valued at approximately one hundred and forty million dollars.

0:52:01.080 --> 0:52:03.920
<v Speaker 3>Carol You and Bloomberg Wall Street reporter Shanali Basik got

0:52:03.920 --> 0:52:06.800
<v Speaker 3>an inside, a look and a few SIPs. It was Friday,

0:52:06.840 --> 0:52:10.160
<v Speaker 3>after all. You caught up with Aiden Meghan, founder of

0:52:10.239 --> 0:52:13.080
<v Speaker 3>natter Jack Whiskey, who stopped by the studio. You started

0:52:13.080 --> 0:52:16.520
<v Speaker 3>by asking how a London trader got into the whiskey business.

0:52:16.960 --> 0:52:20.040
<v Speaker 11>That's a super question, right, So back in kind of

0:52:20.080 --> 0:52:21.719
<v Speaker 11>twenty sixteen, I wanted I.

0:52:21.719 --> 0:52:23.640
<v Speaker 6>Was a great career trading. I loved it.

0:52:24.239 --> 0:52:26.479
<v Speaker 11>I had an amazing team and I learned so much.

0:52:26.960 --> 0:52:29.680
<v Speaker 11>But it's kind of abstract, right, So you're you're looking

0:52:29.719 --> 0:52:32.120
<v Speaker 11>at a screen. You don't actually hold what you're creating.

0:52:32.160 --> 0:52:36.080
<v Speaker 11>You're creating wealth or you know, and you're working really hard.

0:52:35.880 --> 0:52:37.160
<v Speaker 6>For something you never actually hold it.

0:52:37.200 --> 0:52:38.520
<v Speaker 11>And I was like, I wanted to go away, and

0:52:38.560 --> 0:52:40.920
<v Speaker 11>I wanted to build something that I could hold, right,

0:52:41.000 --> 0:52:43.480
<v Speaker 11>And that was just a very base level and I

0:52:43.560 --> 0:52:45.240
<v Speaker 11>was I figured, Gie.

0:52:45.000 --> 0:52:47.520
<v Speaker 1>But why whiskey you could hold pair of shoes? You

0:52:47.520 --> 0:52:49.719
<v Speaker 1>could hold absolutely well?

0:52:49.840 --> 0:52:50.719
<v Speaker 6>Do you know? Interestingly?

0:52:50.800 --> 0:52:54.319
<v Speaker 11>Right, my granddad owned bars Jacklashing years ago, right, and

0:52:54.800 --> 0:52:56.040
<v Speaker 11>I went to see him when I was working. I

0:52:56.080 --> 0:52:58.200
<v Speaker 11>always worked in restaurants, and that was always my favorite job.

0:52:58.239 --> 0:53:01.040
<v Speaker 11>Waiting tables was amazing. Being a bartender amazing. And I

0:53:01.040 --> 0:53:02.480
<v Speaker 11>said to him, and I'm thinking about opening a bar,

0:53:02.680 --> 0:53:05.040
<v Speaker 11>and he was in his eighties. He's like, don't open

0:53:05.040 --> 0:53:07.520
<v Speaker 11>a bar. Sell the beer to the bar, and I

0:53:07.560 --> 0:53:09.800
<v Speaker 11>was like, okay. So when I was trading, I was like, okay,

0:53:09.880 --> 0:53:12.719
<v Speaker 11>Well my background was hospitality before trading, so what would

0:53:12.760 --> 0:53:15.640
<v Speaker 11>I do. So I've looked at all the different like

0:53:15.760 --> 0:53:17.480
<v Speaker 11>maybe a winery would have been amazing, but I mean,

0:53:17.560 --> 0:53:19.799
<v Speaker 11>I I'm Irish. Who's going to be like, like, what

0:53:19.840 --> 0:53:21.120
<v Speaker 11>do I know about running a winery?

0:53:21.200 --> 0:53:21.359
<v Speaker 7>Right?

0:53:21.440 --> 0:53:24.719
<v Speaker 11>So figured, well, exactly, But I figured Irish whiskey had

0:53:24.719 --> 0:53:26.359
<v Speaker 11>missed me. I had a favorite bourbon, but he didn't

0:53:26.360 --> 0:53:27.719
<v Speaker 11>have a favorite Irish whiskey. So it's like, if it

0:53:27.760 --> 0:53:29.920
<v Speaker 11>missed me, maybe it's missed a load of people. So

0:53:30.239 --> 0:53:32.400
<v Speaker 11>I went off on this kind of mad year and

0:53:32.440 --> 0:53:34.280
<v Speaker 11>a half journey learning how to make whiskey.

0:53:35.200 --> 0:53:37.200
<v Speaker 1>And and you actually learned how to make it?

0:53:37.280 --> 0:53:38.919
<v Speaker 11>Oh yeah, yeah, I went and I went and worked

0:53:38.920 --> 0:53:42.160
<v Speaker 11>in Breckenridge in Colorado with Jordan Vya, who's still our

0:53:42.160 --> 0:53:44.120
<v Speaker 11>master distiller because he's much better than me.

0:53:44.440 --> 0:53:45.520
<v Speaker 6>So but I went and learned.

0:53:45.600 --> 0:53:47.719
<v Speaker 11>I stayed with him for a month working double shifts

0:53:47.760 --> 0:53:51.439
<v Speaker 11>at the distillery and kind of built a relationship there,

0:53:51.440 --> 0:53:53.480
<v Speaker 11>and then built a team and came up with a

0:53:53.520 --> 0:53:55.280
<v Speaker 11>brand and we launched in twenty nineteen.

0:53:55.520 --> 0:53:58.080
<v Speaker 1>How hard of a learning curve was it for you?

0:53:59.239 --> 0:54:01.440
<v Speaker 6>It's interesting, it was. The terminology was the hardest.

0:54:01.520 --> 0:54:01.680
<v Speaker 2>Right.

0:54:01.760 --> 0:54:03.520
<v Speaker 6>So when you when you go.

0:54:03.480 --> 0:54:06.600
<v Speaker 11>And you go into a distillery, people talk about different things.

0:54:06.640 --> 0:54:08.160
<v Speaker 11>And the one thing I could never work out was

0:54:08.320 --> 0:54:10.319
<v Speaker 11>when people said they pitch the yeast right.

0:54:10.360 --> 0:54:12.839
<v Speaker 6>I couldn't work it out. It's is it a temperature thing?

0:54:12.920 --> 0:54:15.920
<v Speaker 11>Is it the is it the it means throw the

0:54:15.920 --> 0:54:17.200
<v Speaker 11>east Okay, that's it.

0:54:17.239 --> 0:54:19.520
<v Speaker 6>Okays American term you pitch the east right.

0:54:19.880 --> 0:54:21.080
<v Speaker 1>It sounds easy, but it's not.

0:54:21.480 --> 0:54:23.120
<v Speaker 11>It actually is really easy. You just need to know

0:54:23.120 --> 0:54:26.080
<v Speaker 11>the amount. So there's a huge amount of science behind it.

0:54:26.160 --> 0:54:28.319
<v Speaker 11>But I learned the kind of the art of it

0:54:28.360 --> 0:54:29.640
<v Speaker 11>as well, and the art of coming up with the

0:54:29.680 --> 0:54:34.799
<v Speaker 11>flavor profiles and really working on what flavor profiles I

0:54:34.840 --> 0:54:35.680
<v Speaker 11>wanted to create.

0:54:35.840 --> 0:54:38.160
<v Speaker 1>Well, let's go there, because, like you, I like bourbon

0:54:38.440 --> 0:54:41.279
<v Speaker 1>versus whiskey. But so tell me, like, how did you

0:54:41.320 --> 0:54:43.480
<v Speaker 1>figure out where you wanted to go in terms of

0:54:43.520 --> 0:54:44.320
<v Speaker 1>the taste profile.

0:54:44.600 --> 0:54:46.360
<v Speaker 11>So Jordan and I would sit down with samples of

0:54:46.400 --> 0:54:48.000
<v Speaker 11>what we were going to be able to blend with

0:54:48.280 --> 0:54:51.200
<v Speaker 11>and we would he you know, he, we just talk

0:54:51.239 --> 0:54:54.319
<v Speaker 11>about it. It's very olfactory, right, So it's what what

0:54:54.440 --> 0:54:55.640
<v Speaker 11>is it you want more of? Do you want more

0:54:55.680 --> 0:54:58.279
<v Speaker 11>mid palate sweetness? Do you want more length? And all

0:54:58.280 --> 0:55:01.080
<v Speaker 11>of these things, And we we worked the blend. I'd

0:55:01.080 --> 0:55:03.360
<v Speaker 11>fly over with the samples because I was in Ireland

0:55:03.360 --> 0:55:05.320
<v Speaker 11>at the time it fly over. I'd meet Jordan largely

0:55:05.360 --> 0:55:07.120
<v Speaker 11>in New York and we'd work on it that way,

0:55:07.280 --> 0:55:09.279
<v Speaker 11>and eventually we come up with what we what we

0:55:09.640 --> 0:55:12.280
<v Speaker 11>what we wanted as flavor profile from the base spirit.

0:55:12.920 --> 0:55:14.960
<v Speaker 11>Jordan's genius was He's like, we need to put this

0:55:14.960 --> 0:55:17.080
<v Speaker 11>into virgin American oak and we need to really ramp

0:55:17.160 --> 0:55:19.800
<v Speaker 11>up the jar. So what we did was with Natterjack

0:55:19.840 --> 0:55:22.360
<v Speaker 11>blend one which will taste in a second is we

0:55:22.480 --> 0:55:25.520
<v Speaker 11>put it into expurban barrels for three and a half years,

0:55:25.520 --> 0:55:28.160
<v Speaker 11>which basically barrel is it it is That's.

0:55:28.080 --> 0:55:29.480
<v Speaker 6>Where the color and the flavor comes from.

0:55:29.520 --> 0:55:31.720
<v Speaker 11>Right Well, now, the base spirit adds a huge amount

0:55:31.719 --> 0:55:33.759
<v Speaker 11>of depth and complexity as well, but for me, it's

0:55:33.840 --> 0:55:35.919
<v Speaker 11>it's a lot about the wood. And so we put

0:55:35.920 --> 0:55:38.000
<v Speaker 11>it for a year into Virgin Oak chur number four,

0:55:38.000 --> 0:55:41.400
<v Speaker 11>which we sourced from from segu Moreau and NAPA, and

0:55:41.400 --> 0:55:43.800
<v Speaker 11>we actually took like this is back in twenty nineteen

0:55:44.280 --> 0:55:46.600
<v Speaker 11>and Fay and I took our son Gussie to segra

0:55:46.680 --> 0:55:49.080
<v Speaker 11>Moreau and there's we have pictures of him as a

0:55:49.080 --> 0:55:51.319
<v Speaker 11>one year old with these all these flames around the place.

0:55:51.480 --> 0:55:54.560
<v Speaker 11>Just amazing scenes and the smells, the smells of coop

0:55:54.560 --> 0:55:56.400
<v Speaker 11>bridges and distilleries are just amazing.

0:55:56.560 --> 0:56:01.440
<v Speaker 12>So you launched in twenty nineteen, twenty twenty global pandemic.

0:56:01.040 --> 0:56:01.839
<v Speaker 6>Right, what was that?

0:56:02.000 --> 0:56:05.960
<v Speaker 11>Like, it's a misery, right, So twenty nineteen was amazing.

0:56:06.000 --> 0:56:07.359
<v Speaker 11>By the end of it, we were by the end

0:56:07.400 --> 0:56:09.040
<v Speaker 11>of our first year, which was only kind of ten

0:56:09.080 --> 0:56:12.840
<v Speaker 11>months of trading, we were in six US markets and

0:56:12.840 --> 0:56:15.200
<v Speaker 11>four global markets, right, and just the world was incredible.

0:56:15.200 --> 0:56:17.560
<v Speaker 11>And I went on this ten day, five market trip

0:56:17.560 --> 0:56:19.360
<v Speaker 11>in the States and it came back from it. I

0:56:19.400 --> 0:56:24.239
<v Speaker 11>did Washington, Chicago, New Hampshire, Florida, and New York.

0:56:24.360 --> 0:56:24.520
<v Speaker 2>Right.

0:56:24.560 --> 0:56:25.799
<v Speaker 11>I came back and I was like, hey, we need

0:56:25.840 --> 0:56:28.279
<v Speaker 11>to go to the States, Like that's this is where

0:56:28.280 --> 0:56:30.760
<v Speaker 11>this is going to live and die. The entrepreneurial spirit

0:56:31.239 --> 0:56:34.680
<v Speaker 11>of tell me more about your brand exists here very

0:56:34.719 --> 0:56:36.600
<v Speaker 11>viscerally in a way. I didn't find it in Ireland.

0:56:36.760 --> 0:56:38.680
<v Speaker 6>So I was like, let's go. And this is the

0:56:38.800 --> 0:56:40.200
<v Speaker 6>end of twenty nineteen. We're like, let's go.

0:56:40.360 --> 0:56:42.440
<v Speaker 1>We're going to sample a little bit before we do,

0:56:42.640 --> 0:56:44.040
<v Speaker 1>and I'm going to tweet it out and maybe I

0:56:44.080 --> 0:56:47.600
<v Speaker 1>can show it for those folks. There's a frog on

0:56:47.640 --> 0:56:49.880
<v Speaker 1>your label. It's really kind of a cool looking frog.

0:56:50.560 --> 0:56:51.560
<v Speaker 1>It's a spirited toad.

0:56:51.600 --> 0:56:52.400
<v Speaker 6>Actually right it is.

0:56:52.520 --> 0:56:54.560
<v Speaker 11>Yeah, it's the only tone indigenous to Ireland. But it's

0:56:54.560 --> 0:56:56.960
<v Speaker 11>a very Irish toad. It can't hop, it walks, it

0:56:57.000 --> 0:56:58.799
<v Speaker 11>can't swim at rounds. It does things its own way

0:56:58.800 --> 0:57:00.520
<v Speaker 11>to survive, much like ourselves.

0:57:00.600 --> 0:57:01.240
<v Speaker 6>But interesting.

0:57:01.840 --> 0:57:04.239
<v Speaker 11>It has a gestation period from toadlet which is a

0:57:04.239 --> 0:57:06.400
<v Speaker 11>baby toad to fully grown total of three years. Irish

0:57:06.400 --> 0:57:08.719
<v Speaker 11>whiskey takes three years to become whiskey from new make

0:57:09.200 --> 0:57:11.960
<v Speaker 11>it has so you thought about this, Oh absolutely, it

0:57:12.000 --> 0:57:14.360
<v Speaker 11>has amazing call that can we heard two kilometers away

0:57:14.680 --> 0:57:16.400
<v Speaker 11>like some of the best whiskey drinkers, and it's not

0:57:16.520 --> 0:57:18.240
<v Speaker 11>turned like all the best whiskey drinkers.

0:57:18.280 --> 0:57:19.920
<v Speaker 1>As you said, you've really thought about the brand and

0:57:19.960 --> 0:57:22.439
<v Speaker 1>the packaging. I'm going to open it up and pour

0:57:22.560 --> 0:57:27.840
<v Speaker 1>some were there's a thing tell us about, though, tough

0:57:27.840 --> 0:57:29.440
<v Speaker 1>time because you guys were around during COVID.

0:57:29.560 --> 0:57:31.440
<v Speaker 6>Yes, we all actually before we do that.

0:57:31.800 --> 0:57:32.560
<v Speaker 1>What are we trying?

0:57:32.720 --> 0:57:34.640
<v Speaker 11>Oh, you're trying to get matter Jack Blend number one,

0:57:34.760 --> 0:57:37.880
<v Speaker 11>which is our kind of our flagship product. It is

0:57:38.480 --> 0:57:41.440
<v Speaker 11>triple distilled, finished for a year in Virgin oak, so

0:57:41.440 --> 0:57:43.680
<v Speaker 11>three and a half years experbon, one year Virgin Oak.

0:57:44.200 --> 0:57:48.480
<v Speaker 11>And it's it's eighty proof and is the smoothest, easiest

0:57:48.520 --> 0:57:50.440
<v Speaker 11>drink and whiskey you're ever going to come across. As

0:57:50.480 --> 0:57:51.840
<v Speaker 11>a friend of mine said, it's great drink.

0:57:51.640 --> 0:57:52.960
<v Speaker 6>And whiskey eighty proof.

0:57:54.080 --> 0:57:59.920
<v Speaker 1>Man, we only have five minutes to go, girl, you okay,

0:58:00.080 --> 0:58:02.400
<v Speaker 1>so talk to us about COVID where you probably could

0:58:02.440 --> 0:58:04.800
<v Speaker 1>have used a lot of this, because that's a tough

0:58:04.800 --> 0:58:08.040
<v Speaker 1>time exactly. So it's also pretty amazing lockdown. This smells

0:58:08.200 --> 0:58:10.840
<v Speaker 1>like a lot of bourbon yet, but I kind of

0:58:11.280 --> 0:58:12.120
<v Speaker 1>almost sweeter.

0:58:12.640 --> 0:58:14.919
<v Speaker 11>There's a little bit of sweetness on the on the nose.

0:58:15.080 --> 0:58:18.520
<v Speaker 11>I completely agree. Yeah, and it goes incredibly into Manhattan.

0:58:18.600 --> 0:58:20.680
<v Speaker 1>So if you're drinking, I was thinking whiskey sour, which

0:58:20.760 --> 0:58:22.400
<v Speaker 1>my dad used to make a lot growing up.

0:58:22.720 --> 0:58:22.959
<v Speaker 6>Yeah.

0:58:23.160 --> 0:58:25.800
<v Speaker 11>So so yeah, twenty twenty right, things shut down and

0:58:25.840 --> 0:58:28.600
<v Speaker 11>are like I give an example, our biggest client in

0:58:28.640 --> 0:58:31.120
<v Speaker 11>Ireland was the airport. Flights are gone right, So immediately

0:58:31.160 --> 0:58:34.400
<v Speaker 11>your business in Ireland's gone right. Business in the US

0:58:34.440 --> 0:58:36.560
<v Speaker 11>we to pivot from the on prem to the off prem.

0:58:36.600 --> 0:58:40.200
<v Speaker 11>That involved changing, you know, or packaging that sort of thing.

0:58:40.200 --> 0:58:42.640
<v Speaker 11>And so what happens is over the time period of

0:58:42.680 --> 0:58:45.520
<v Speaker 11>the first few months of COVID, you're not having any revenue,

0:58:45.840 --> 0:58:47.560
<v Speaker 11>your your fixed costs remained the same.

0:58:47.560 --> 0:58:49.120
<v Speaker 6>We still let staff and.

0:58:50.000 --> 0:58:50.800
<v Speaker 1>There's nothing coming in.

0:58:50.840 --> 0:58:51.880
<v Speaker 6>There's nothing coming in.

0:58:51.760 --> 0:58:54.080
<v Speaker 11>And so we tried our best to stay afloat. And

0:58:54.120 --> 0:58:58.280
<v Speaker 11>then obviously after a while, investors don't want to hear

0:58:58.320 --> 0:59:00.880
<v Speaker 11>that COVID is the problem, like you know that a

0:59:01.000 --> 0:59:04.280
<v Speaker 11>problem was like Superna, Ricar or Diagio. Their numbers were

0:59:04.320 --> 0:59:07.000
<v Speaker 11>quite good during COVID because as far as I could

0:59:07.000 --> 0:59:08.840
<v Speaker 11>see it, they owned every point on the shelf from

0:59:08.880 --> 0:59:10.840
<v Speaker 11>a ten dollar bottle to an eighty dollars bottle. We

0:59:10.880 --> 0:59:13.200
<v Speaker 11>only had one SKU, which is what we're drinking right now,

0:59:13.200 --> 0:59:13.800
<v Speaker 11>one product?

0:59:13.840 --> 0:59:16.640
<v Speaker 6>How much is this cost? That is in New York

0:59:16.760 --> 0:59:17.880
<v Speaker 6>thirty eight dollars?

0:59:18.120 --> 0:59:21.400
<v Speaker 12>Okay, So how do you define that? Who is buying it?

0:59:21.520 --> 0:59:22.840
<v Speaker 12>Or do you find it at a bar?

0:59:22.960 --> 0:59:24.280
<v Speaker 6>Do you find it fun at bars?

0:59:24.320 --> 0:59:24.520
<v Speaker 2>Yeah?

0:59:24.520 --> 0:59:26.439
<v Speaker 11>So we priced it very much for the cocktail list

0:59:26.440 --> 0:59:29.280
<v Speaker 11>in bars because that's where people people will see it

0:59:29.280 --> 0:59:31.240
<v Speaker 11>on the menu, and that's a really important part of

0:59:31.280 --> 0:59:32.400
<v Speaker 11>the sales strategy.

0:59:32.480 --> 0:59:34.800
<v Speaker 1>I would say, for an eighty proof, it's really nice.

0:59:35.240 --> 0:59:38.640
<v Speaker 12>It doesn't go down hard, No, it's very it's it's

0:59:38.680 --> 0:59:42.200
<v Speaker 12>not sweet, but it's kind of a softer exactly.

0:59:42.240 --> 0:59:44.880
<v Speaker 11>A triple distillation of Iris whisky does make it smooth,

0:59:44.920 --> 0:59:47.480
<v Speaker 11>but then the virgin oak really rounds off those edges.

0:59:47.520 --> 0:59:49.160
<v Speaker 1>All right, I'm gonna take the glasses back. You're going

0:59:49.200 --> 0:59:51.480
<v Speaker 1>to tell us about the second bottle and I'll pour it.

0:59:51.640 --> 0:59:56.080
<v Speaker 11>And so this this is a this is our our

0:59:56.160 --> 0:59:58.320
<v Speaker 11>cast strength, right, and the idea behind this is going

0:59:58.360 --> 1:00:01.560
<v Speaker 11>to be true cast strength lessing around right. So it's

1:00:01.680 --> 1:00:03.919
<v Speaker 11>it's what comes out of the barrel. It goes through

1:00:03.960 --> 1:00:06.520
<v Speaker 11>a sieve and it goes into the bottle. That's it.

1:00:06.720 --> 1:00:08.680
<v Speaker 11>This is truly what's in the barrel. So I get

1:00:08.720 --> 1:00:12.080
<v Speaker 11>a phone call in December and it's from them, Jim

1:00:12.160 --> 1:00:14.040
<v Speaker 11>Murray of the Whiskey Bible, and he got and I

1:00:14.040 --> 1:00:16.640
<v Speaker 11>didn't recognize the number, and I answered the phone and

1:00:16.680 --> 1:00:18.920
<v Speaker 11>he said, Hi, it's Jim Murray and I was like, yeah,

1:00:18.880 --> 1:00:19.480
<v Speaker 11>of course it is.

1:00:19.800 --> 1:00:21.120
<v Speaker 6>Why would Jim Murray be calling me?

1:00:21.160 --> 1:00:23.320
<v Speaker 11>Who is Jim Murry has the Whiskey Bible. He's very

1:00:23.320 --> 1:00:25.600
<v Speaker 11>famous in the in the industry, so cool reviewing. And

1:00:25.640 --> 1:00:27.200
<v Speaker 11>I was like, this is one of my mates. Like,

1:00:27.200 --> 1:00:29.760
<v Speaker 11>there's no way Jim Murray's calling me. So he's like, no,

1:00:29.840 --> 1:00:30.919
<v Speaker 11>it's it is Jim Murray.

1:00:30.960 --> 1:00:32.360
<v Speaker 6>And I was like, somebody get me. Jim Murray's normal.

1:00:32.440 --> 1:00:34.160
<v Speaker 1>This is the Arris Whiskey of the Year for twenty twenty.

1:00:34.040 --> 1:00:34.640
<v Speaker 6>Twenty twenty four.

1:00:34.720 --> 1:00:38.400
<v Speaker 11>Ye beat out, It beat out all of our friends. Middleton,

1:00:39.680 --> 1:00:40.240
<v Speaker 11>thirty year old.

1:00:40.280 --> 1:00:41.560
<v Speaker 1>I feel like you're a little bit of a connoss

1:00:41.600 --> 1:00:44.080
<v Speaker 1>war okay, more than me. You're gonna laugh at me,

1:00:44.160 --> 1:00:44.960
<v Speaker 1>you like the other one.

1:00:45.120 --> 1:00:45.320
<v Speaker 2>No.

1:00:45.520 --> 1:00:47.680
<v Speaker 12>But in college when I didn't want to go out,

1:00:47.760 --> 1:00:49.160
<v Speaker 12>I used to tell people I'm hanging out with my

1:00:49.160 --> 1:00:53.960
<v Speaker 12>boyfriends Jack and Jim.

1:00:53.440 --> 1:00:57.880
<v Speaker 1>Did you really high shirted? We're newspeople. We like to

1:00:57.920 --> 1:01:01.560
<v Speaker 1>write and Bloomberg. There's a definite difference.

1:01:01.240 --> 1:01:02.000
<v Speaker 6>Though, huge.

1:01:02.080 --> 1:01:04.200
<v Speaker 11>Yeah, and the mouth feel is different. There's loads of

1:01:04.200 --> 1:01:08.720
<v Speaker 11>butterscotch on this, Yeah, And we were just were just amazed.

1:01:08.800 --> 1:01:10.840
<v Speaker 11>So eventually I worked out that it was Jimmery on

1:01:10.880 --> 1:01:12.600
<v Speaker 11>the phone. He said, you've won Irish Whisky of the Year.

1:01:12.600 --> 1:01:15.560
<v Speaker 11>It's the best Irish whiskey I've tasted in years and years.

1:01:15.760 --> 1:01:18.040
<v Speaker 11>What you've done is incredible, And I was like, this

1:01:18.120 --> 1:01:18.600
<v Speaker 11>is amazing.

1:01:18.920 --> 1:01:21.400
<v Speaker 1>Yeah, so more inclined for people to drink it as

1:01:21.520 --> 1:01:23.120
<v Speaker 1>is versus the other one.

1:01:23.200 --> 1:01:25.360
<v Speaker 6>So actually that one I put over a big cube

1:01:25.400 --> 1:01:25.720
<v Speaker 6>of ice.

1:01:25.920 --> 1:01:28.800
<v Speaker 11>I'll drink it over an hour and it as the

1:01:28.960 --> 1:01:31.560
<v Speaker 11>as it dilutes, it tells the story all of its own.

1:01:31.600 --> 1:01:32.400
<v Speaker 6>So I think it's amazing.

1:01:32.480 --> 1:01:36.160
<v Speaker 1>It's really lovely. I am not a whiskey drinker, but

1:01:36.240 --> 1:01:38.480
<v Speaker 1>this is really lovely. How do you distinguish yourself, as

1:01:38.520 --> 1:01:40.440
<v Speaker 1>we talked about, like some of the giants man they

1:01:40.480 --> 1:01:42.600
<v Speaker 1>have you know, they can go with a bunch of

1:01:42.640 --> 1:01:45.880
<v Speaker 1>different varieties. How do you kind of get yourself noticed?

1:01:46.360 --> 1:01:48.280
<v Speaker 1>So the market that has a lot of choices.

1:01:48.000 --> 1:01:49.520
<v Speaker 11>So you've got to do something different, right, if that

1:01:49.520 --> 1:01:51.840
<v Speaker 11>whiskey if we called it Whiskey eight and Megan's Whiskey.

1:01:52.040 --> 1:01:53.800
<v Speaker 11>The three of us wouldn't be sitting here today, right,

1:01:53.800 --> 1:01:56.200
<v Speaker 11>I'd probably be back in a different job. So natter

1:01:56.280 --> 1:01:57.920
<v Speaker 11>Jack stood out the toads.

1:01:57.640 --> 1:01:59.720
<v Speaker 1>Doudsly as simple as the name that.

1:01:59.720 --> 1:02:01.960
<v Speaker 11>The whiskey has to be good. I'll tell you back

1:02:02.320 --> 1:02:04.160
<v Speaker 11>when we were seeing people at the start, loads of

1:02:04.160 --> 1:02:06.440
<v Speaker 11>people told us, don't worry about what's in the bottle,

1:02:06.520 --> 1:02:08.800
<v Speaker 11>it's only the brand. But that's actually not true, because

1:02:08.800 --> 1:02:09.960
<v Speaker 11>people really come.

1:02:09.880 --> 1:02:11.880
<v Speaker 6>The first sale. You'll get second sale.

1:02:11.920 --> 1:02:13.560
<v Speaker 1>It's got to be cool, buye because the battle looks cool,

1:02:13.600 --> 1:02:15.440
<v Speaker 1>and then you'll take it home and say never get exactly.

1:02:15.440 --> 1:02:17.720
<v Speaker 12>I'm going to ask the most Wall Street question ever,

1:02:17.840 --> 1:02:20.360
<v Speaker 12>the investment banking reporter for years, of course, is going

1:02:20.400 --> 1:02:22.720
<v Speaker 12>to ask you this, what are your bigger ambitions? Is

1:02:22.760 --> 1:02:25.360
<v Speaker 12>the idea here to get rolled up by the likes

1:02:25.360 --> 1:02:26.520
<v Speaker 12>of a Diagio one day?

1:02:27.040 --> 1:02:29.480
<v Speaker 11>Maybe one day and on our investors will want to return,

1:02:29.760 --> 1:02:32.960
<v Speaker 11>right but realistically so we're in fourteen global markets in

1:02:33.000 --> 1:02:35.479
<v Speaker 11>sixteen US markets now. Right from the back of being

1:02:36.200 --> 1:02:37.760
<v Speaker 11>out of money at the end of twenty twenty two,

1:02:37.760 --> 1:02:40.280
<v Speaker 11>it's been an amazing transformation. We have an incredible board

1:02:40.320 --> 1:02:45.200
<v Speaker 11>of investors who support us. So honestly, my passion and

1:02:45.280 --> 1:02:49.080
<v Speaker 11>drive for this is to create a global brand. And

1:02:49.320 --> 1:02:52.280
<v Speaker 11>what I sell it in the morning, maybe but maybe not.

1:02:52.400 --> 1:02:55.800
<v Speaker 11>It just depends, right, Like you look at Tito's, they

1:02:55.800 --> 1:02:58.720
<v Speaker 11>haven't sold, right, So it just depends on what happens

1:02:58.720 --> 1:03:00.600
<v Speaker 11>at a certain time. But look, I was a trader.

1:03:00.600 --> 1:03:03.840
<v Speaker 11>Everything has a price, right, that's true. Well said, if

1:03:03.840 --> 1:03:05.360
<v Speaker 11>someone comes in with the big bid, you hit the bid.

1:03:05.400 --> 1:03:08.960
<v Speaker 11>That's it, right. So so but it's been it's been amazing,

1:03:08.960 --> 1:03:11.040
<v Speaker 11>and the growth is going incredibly And just before I

1:03:11.040 --> 1:03:15.520
<v Speaker 11>walked in we got national We got national order from

1:03:15.600 --> 1:03:18.560
<v Speaker 11>one of the big chains in the country. So Patty

1:03:18.560 --> 1:03:19.840
<v Speaker 11>Stay Weekend is looking good already.

1:03:19.920 --> 1:03:22.280
<v Speaker 1>So that's a big deal. Huge Is there more choices

1:03:22.280 --> 1:03:23.560
<v Speaker 1>to come? Like do you build this out?

1:03:23.720 --> 1:03:23.919
<v Speaker 2>Yeah?

1:03:24.200 --> 1:03:26.160
<v Speaker 11>So I'll tell you there's it real quickly, very quickly.

1:03:26.400 --> 1:03:29.240
<v Speaker 11>We've got something called Natterjack the mistake because I left

1:03:29.400 --> 1:03:31.720
<v Speaker 11>one hundred barrels in barrel for a year two long.

1:03:31.760 --> 1:03:34.080
<v Speaker 11>I completely screwed up. It says it on the back,

1:03:34.240 --> 1:03:35.720
<v Speaker 11>and the label's a mistake and.

1:03:35.720 --> 1:03:37.960
<v Speaker 6>We're launching it. In April, who launched a Narris whiskey

1:03:38.000 --> 1:03:40.040
<v Speaker 6>in April. It's a mistake. The whole thing's a mistake.

1:03:40.240 --> 1:03:43.120
<v Speaker 3>That was Aiden Meghan, a founder of Natterjack Irish Whiskey,

1:03:43.280 --> 1:03:46.640
<v Speaker 3>with Carol and a Bloomberg Wall Street reporter, Snelly Bassett.

1:03:46.640 --> 1:03:48.080
<v Speaker 1>It was really fun. We'll have to have them come back.

1:03:48.360 --> 1:03:52.520
<v Speaker 3>I'm booking another. I'm booking another alcohol guests. Don't worry, Okay,

1:03:52.600 --> 1:03:53.840
<v Speaker 3>I just sack an email.

1:03:54.120 --> 1:03:56.320
<v Speaker 1>Or it's still ad on Bloomberg Business Week. Making the

1:03:56.360 --> 1:03:57.919
<v Speaker 1>perfect espresso at home.

1:03:58.080 --> 1:03:59.880
<v Speaker 3>Finally, something I know about.

1:04:00.000 --> 1:04:03.200
<v Speaker 1>Getting an espresso. It sounds like the espresto side I

1:04:03.240 --> 1:04:04.080
<v Speaker 1>didn't realize for you.

1:04:04.280 --> 1:04:06.200
<v Speaker 3>Yeah, it's a long story. We'll get into it with

1:04:06.280 --> 1:04:08.640
<v Speaker 3>Chris Rows. There also something I don't know much about,

1:04:08.800 --> 1:04:10.960
<v Speaker 3>stepping out of Rolex's long shadow.

1:04:11.080 --> 1:04:13.160
<v Speaker 1>Yeah, this is an interesting story. I know Chris will

1:04:13.160 --> 1:04:16.600
<v Speaker 1>know a lot about that. Also, getting rid of pesky desmite.

1:04:16.720 --> 1:04:19.000
<v Speaker 1>It's curtains for you, Rocky, It's curtains.

1:04:19.160 --> 1:04:22.040
<v Speaker 3>That's all ahead on Bloomberg Pursuits. This is Bloomberg.

1:04:29.120 --> 1:04:33.000
<v Speaker 2>You're listening to the Bloomberg Business Week podcast. Listen live

1:04:33.080 --> 1:04:36.280
<v Speaker 2>each weekday starting at two pm Easter on applecar Play

1:04:36.320 --> 1:04:39.160
<v Speaker 2>and Android Auto with the Bloomberg Business App. You can

1:04:39.200 --> 1:04:42.440
<v Speaker 2>also listen live on Amazon Alexa from our flagship New

1:04:42.520 --> 1:04:46.160
<v Speaker 2>York station. Just say Alexa play Bloomberg eleven thirty.

1:04:47.760 --> 1:04:50.320
<v Speaker 1>All right, everyone, it's time for Bloomberg Pursuits and for

1:04:50.480 --> 1:04:53.760
<v Speaker 1>all of you home barristas. We've got how to get

1:04:53.800 --> 1:04:55.960
<v Speaker 1>the godshot of expresso, which is going to be one

1:04:56.000 --> 1:04:57.960
<v Speaker 1>of the first things. We're going to ask Chris Rouser

1:04:58.000 --> 1:04:59.400
<v Speaker 1>what the heck is that? But we'll get to that

1:04:59.440 --> 1:04:59.560
<v Speaker 1>in a.

1:04:59.600 --> 1:05:01.840
<v Speaker 3>Moment, because there's more to get to. Also, the watch

1:05:01.920 --> 1:05:05.440
<v Speaker 3>that's along been relegated to a spot in Rolex's shadow.

1:05:05.520 --> 1:05:07.439
<v Speaker 3>It's having though it's moment in time.

1:05:07.520 --> 1:05:10.120
<v Speaker 1>It's shining. So too is the suite of the Moment,

1:05:10.160 --> 1:05:12.640
<v Speaker 1>which was previously unattainable but can now be delivered to

1:05:12.680 --> 1:05:14.560
<v Speaker 1>your front door for like a million dollars. But we'll

1:05:14.560 --> 1:05:15.360
<v Speaker 1>talk about that later.

1:05:15.480 --> 1:05:17.080
<v Speaker 3>We're gonna have a lot more. Let's get to it

1:05:17.120 --> 1:05:19.640
<v Speaker 3>with the editor of Pursuits, Chris Rouser. He's here in

1:05:19.680 --> 1:05:22.960
<v Speaker 3>our studio. Chris so excited about talking espresso here.

1:05:23.080 --> 1:05:25.520
<v Speaker 13>I know, I know you're excited about it. I'm excited

1:05:25.520 --> 1:05:26.040
<v Speaker 13>to talk to you.

1:05:26.080 --> 1:05:29.439
<v Speaker 3>Finally, something in Bloomberg Pursuit that like I can say, yeah,

1:05:29.520 --> 1:05:32.439
<v Speaker 3>excuse to me. So a few years ago, the height

1:05:32.480 --> 1:05:35.200
<v Speaker 3>of the pandemic, for the holidays of twenty twenty, my

1:05:35.280 --> 1:05:38.760
<v Speaker 3>whole family got together behind my back and they bought

1:05:38.760 --> 1:05:42.920
<v Speaker 3>me a full prosumer set up for espresso, so the

1:05:42.960 --> 1:05:46.200
<v Speaker 3>grinder and of course the espresso machine. And since then

1:05:46.840 --> 1:05:48.200
<v Speaker 3>I've been trying to get the god shot.

1:05:48.320 --> 1:05:49.280
<v Speaker 13>Your life has been ruined.

1:05:50.080 --> 1:05:51.280
<v Speaker 3>It's get there?

1:05:51.360 --> 1:05:52.080
<v Speaker 1>Did you get there?

1:05:52.240 --> 1:05:55.200
<v Speaker 3>You know, I'm not as as I'm not as focused

1:05:55.200 --> 1:05:57.280
<v Speaker 3>on that as some of the other folks are. Like

1:05:57.440 --> 1:05:59.320
<v Speaker 3>I like the process and I just love the taste

1:05:59.360 --> 1:06:00.320
<v Speaker 3>of what we can do home.

1:06:00.480 --> 1:06:02.120
<v Speaker 1>First of all, can you do a little bit of

1:06:02.120 --> 1:06:05.720
<v Speaker 1>a like definition here? A prosumer and also godshot?

1:06:06.120 --> 1:06:09.479
<v Speaker 13>Yes, So a prosumer espresso machine is one is one

1:06:09.520 --> 1:06:11.640
<v Speaker 13>that's like basically like a professional one that you would

1:06:11.640 --> 1:06:14.520
<v Speaker 13>see in a cafe but at your house, a pro

1:06:14.520 --> 1:06:16.800
<v Speaker 13>consumer kind of professional consumer.

1:06:17.000 --> 1:06:17.400
<v Speaker 1>Yeaht it.

1:06:17.720 --> 1:06:21.640
<v Speaker 13>And then the god shot is this mythical shot of

1:06:21.760 --> 1:06:25.320
<v Speaker 13>espresso that people tend to only have once in their life.

1:06:25.760 --> 1:06:27.480
<v Speaker 13>A lot of the people we talked to in our

1:06:27.520 --> 1:06:31.680
<v Speaker 13>story can remember where they were and they remember the

1:06:31.680 --> 1:06:34.720
<v Speaker 13>coffee beans that were ground for it, and they have

1:06:34.800 --> 1:06:38.320
<v Speaker 13>spent the rest of their life searching to replicate the godshot.

1:06:38.840 --> 1:06:40.600
<v Speaker 13>And so I guess Tim, you're on that mission.

1:06:40.720 --> 1:06:42.840
<v Speaker 3>I am how long have you been on that mission?

1:06:43.000 --> 1:06:45.080
<v Speaker 3>Since twenty twenty, Since December twenty twenty.

1:06:45.240 --> 1:06:45.720
<v Speaker 1>Long time.

1:06:46.400 --> 1:06:48.560
<v Speaker 3>Yeah, it's great though, I mean we make What's fun

1:06:48.560 --> 1:06:50.280
<v Speaker 3>about it is we make we can make good coffee

1:06:50.320 --> 1:06:53.400
<v Speaker 3>at home, and I love making coffee for other people too.

1:06:53.560 --> 1:06:56.720
<v Speaker 3>So I have the Bizara besy ten and a Bizara

1:06:56.800 --> 1:06:59.560
<v Speaker 3>grinder as well. And you know you mentioned in the

1:06:59.560 --> 1:07:02.680
<v Speaker 3>piece whole Late Love, it's basically where you a distributor. Yeah,

1:07:02.680 --> 1:07:04.840
<v Speaker 3>the distributor where you go for all this stuff. They're

1:07:04.880 --> 1:07:07.320
<v Speaker 3>in New York State, and you can also call them

1:07:07.360 --> 1:07:10.320
<v Speaker 3>with questions because like everybody has questions about this stuff.

1:07:10.320 --> 1:07:11.800
<v Speaker 13>They're like the butterball turkey people.

1:07:11.960 --> 1:07:13.640
<v Speaker 3>They're like full turkey people.

1:07:13.760 --> 1:07:15.840
<v Speaker 13>So this so it's funny you've got that in twenty

1:07:15.840 --> 1:07:18.800
<v Speaker 13>twenty because this really boomed during the pandemic. Fancy espresso

1:07:18.840 --> 1:07:20.680
<v Speaker 13>machines are not new. This has been a trend for

1:07:20.720 --> 1:07:23.560
<v Speaker 13>a long time among certain kind of people who have

1:07:23.600 --> 1:07:25.600
<v Speaker 13>the kind of money and kind of time to devote

1:07:25.600 --> 1:07:30.080
<v Speaker 13>to it. But since twenty nineteen, the amount of money

1:07:30.080 --> 1:07:32.480
<v Speaker 13>spent on pro sumer models, which are the really high

1:07:32.560 --> 1:07:33.840
<v Speaker 13>end models, has tripled.

1:07:33.920 --> 1:07:34.240
<v Speaker 9>Wow.

1:07:34.280 --> 1:07:37.360
<v Speaker 13>People have really really gotten into this since the pandemic,

1:07:37.720 --> 1:07:41.320
<v Speaker 13>including our writer whose friend gave him a beat up

1:07:41.320 --> 1:07:43.720
<v Speaker 13>old machine like you, Tim, His friend was like, I

1:07:43.720 --> 1:07:45.600
<v Speaker 13>think you would beat into this. I know you love cappuccino.

1:07:45.680 --> 1:07:49.200
<v Speaker 13>You got some extra time, And since then the writer

1:07:49.640 --> 1:07:52.800
<v Speaker 13>has just been on this quest to make not even

1:07:52.800 --> 1:07:54.560
<v Speaker 13>a godshot, like an okay shot.

1:07:55.400 --> 1:07:57.439
<v Speaker 3>Well, the thing about this is that there's so many

1:07:57.520 --> 1:08:00.560
<v Speaker 3>variables that make it difficult to make a really good shot.

1:08:00.640 --> 1:08:03.120
<v Speaker 3>So you don't just have the beans, you know. That's

1:08:03.160 --> 1:08:06.200
<v Speaker 3>also that's really important. The grind is so important, so

1:08:06.240 --> 1:08:08.160
<v Speaker 3>you have to have the exact right type of grind.

1:08:08.160 --> 1:08:09.920
<v Speaker 3>It can't be too fine, it can't be too coarse.

1:08:10.480 --> 1:08:13.880
<v Speaker 3>And then you also have to have the right tamping pressure.

1:08:14.200 --> 1:08:16.000
<v Speaker 3>You have to make sure the grounds are level. In

1:08:16.000 --> 1:08:17.040
<v Speaker 3>the Tampa, they need.

1:08:16.880 --> 1:08:18.600
<v Speaker 1>A cup of coffee to make it.

1:08:18.600 --> 1:08:20.840
<v Speaker 3>It is kind of a joke around the house, like yeah,

1:08:21.280 --> 1:08:22.680
<v Speaker 3>and then a scale to make sure you have the

1:08:22.800 --> 1:08:25.080
<v Speaker 3>right right amount of beans, and then also that you're

1:08:25.120 --> 1:08:27.760
<v Speaker 3>pulling it for the right amount of time. Yes, all

1:08:27.800 --> 1:08:29.760
<v Speaker 3>of those things, you guys, want to come up for

1:08:29.800 --> 1:08:30.000
<v Speaker 3>a guy.

1:08:31.360 --> 1:08:33.680
<v Speaker 13>I didn't really know this because I go to a

1:08:33.680 --> 1:08:35.800
<v Speaker 13>coffee shop almost every morning and I get a cappuccino

1:08:35.800 --> 1:08:37.920
<v Speaker 13>and I see them do all of this really fast.

1:08:38.240 --> 1:08:40.800
<v Speaker 13>So I didn't realize that the reason they're able to

1:08:40.840 --> 1:08:42.479
<v Speaker 13>do it so fast is because they've done it thousands

1:08:42.520 --> 1:08:44.519
<v Speaker 13>of times and they have it practiced. But in your

1:08:44.560 --> 1:08:47.280
<v Speaker 13>own home, even the tamping, like you said, if you

1:08:47.439 --> 1:08:49.400
<v Speaker 13>get it uneven, if you tamp that like.

1:08:49.439 --> 1:08:51.719
<v Speaker 1>Puck, this is this is when they pound it together.

1:08:52.120 --> 1:08:54.160
<v Speaker 13>Yeah, when they put it in the I don't even Tim,

1:08:54.160 --> 1:08:54.879
<v Speaker 13>what's the words.

1:08:55.040 --> 1:08:56.240
<v Speaker 3>That's called a porta filter.

1:08:56.360 --> 1:08:58.679
<v Speaker 13>Filter, and then they tamp it down to get it flat.

1:08:58.880 --> 1:09:01.479
<v Speaker 13>If you don't tamp it down, the water can come

1:09:01.520 --> 1:09:04.800
<v Speaker 13>through and create channels through the through the espresso kind

1:09:04.800 --> 1:09:07.000
<v Speaker 13>of going around it, and then it'll be watery. So

1:09:07.439 --> 1:09:10.080
<v Speaker 13>our writer Rob can't get the tamping right. But Tim,

1:09:10.120 --> 1:09:11.160
<v Speaker 13>I think you sounds like you.

1:09:11.120 --> 1:09:14.280
<v Speaker 3>Have no not every time. But I'm also not. I

1:09:14.280 --> 1:09:16.360
<v Speaker 3>won't throw away a shot. It's rare that I'll throw

1:09:16.360 --> 1:09:18.120
<v Speaker 3>away a shot like it'll get drunk and it's okay

1:09:18.200 --> 1:09:20.479
<v Speaker 3>if it's not perfect, it is, Yeah, it still tastes

1:09:20.479 --> 1:09:22.240
<v Speaker 3>good there are a lot of variables, but it's still

1:09:22.360 --> 1:09:24.800
<v Speaker 3>even if it's not perfect, it's still good. It's still okay. Yeah,

1:09:24.800 --> 1:09:25.519
<v Speaker 3>at least for my pack.

1:09:25.640 --> 1:09:27.240
<v Speaker 1>I feel so low rent with mine espresso.

1:09:27.280 --> 1:09:30.080
<v Speaker 7>I'm just gonna say it right now. Don't look away

1:09:30.080 --> 1:09:30.400
<v Speaker 7>from me.

1:09:30.439 --> 1:09:34.080
<v Speaker 3>No, you can come over. You can come over any

1:09:34.560 --> 1:09:36.719
<v Speaker 3>up until then, come over for coffee anytime.

1:09:36.760 --> 1:09:38.519
<v Speaker 1>Guys, what are these things cost? Like, give us an

1:09:38.560 --> 1:09:40.559
<v Speaker 1>idea and like and you said like sales were kind

1:09:40.600 --> 1:09:42.599
<v Speaker 1>of like growing a lot or have grown a lot.

1:09:42.680 --> 1:09:45.080
<v Speaker 13>Yeah, So the if you want to start like a

1:09:45.080 --> 1:09:47.880
<v Speaker 13>starting model an Evo Pro, it's like four hundred and

1:09:47.880 --> 1:09:50.280
<v Speaker 13>fifty dollars, and then they get up into the two

1:09:50.320 --> 1:09:53.320
<v Speaker 13>thousand and three thousand and four thousand dollars level. So

1:09:53.640 --> 1:09:55.760
<v Speaker 13>the one that we shot that our writer has is

1:09:56.120 --> 1:09:58.200
<v Speaker 13>Lilt Bianca, which is three thousand dollars.

1:09:58.880 --> 1:10:02.240
<v Speaker 3>Just reminder my whole family to get me the grind

1:10:02.360 --> 1:10:05.040
<v Speaker 3>or a machine. Hey. Since then, two sets of friends

1:10:05.040 --> 1:10:08.360
<v Speaker 3>have come over and gotten really into espresso, and like

1:10:08.479 --> 1:10:11.720
<v Speaker 3>now they have their own machinery. You were so into espresso, Yeah,

1:10:11.720 --> 1:10:14.240
<v Speaker 3>I believe my dad years ago, he got a machine

1:10:14.280 --> 1:10:16.000
<v Speaker 3>years ago and then during the and I was just

1:10:16.040 --> 1:10:16.640
<v Speaker 3>obsessed with it.

1:10:16.800 --> 1:10:19.599
<v Speaker 13>One of the people we talked to, a distinguished chopware

1:10:19.640 --> 1:10:22.760
<v Speaker 13>engineer at Google, which is a real title, bought a

1:10:22.840 --> 1:10:25.599
<v Speaker 13>machine for those who are distinguished. He went on an

1:10:25.600 --> 1:10:27.680
<v Speaker 13>eighteen month road trip because it was the pandemic and

1:10:27.720 --> 1:10:30.000
<v Speaker 13>he could work from anywhere, and he took his three

1:10:30.000 --> 1:10:32.680
<v Speaker 13>thousand dollars espresso machine around with him in like a

1:10:32.720 --> 1:10:36.280
<v Speaker 13>gun case. That was the whole time, a huge expresssh

1:10:36.479 --> 1:10:37.680
<v Speaker 13>That's how devoted people are.

1:10:38.560 --> 1:10:39.240
<v Speaker 6>That is sorry.

1:10:39.920 --> 1:10:41.880
<v Speaker 3>I've moved with it once and then I had to

1:10:41.880 --> 1:10:44.960
<v Speaker 3>take it to get to get reconditioned once and I'm

1:10:45.000 --> 1:10:46.280
<v Speaker 3>never picking that thing up again.

1:10:46.520 --> 1:10:48.160
<v Speaker 1>All right, Should we talk about watches? Can we talk

1:10:48.200 --> 1:10:51.120
<v Speaker 1>about watches? Because I feel like the poor sister child

1:10:51.120 --> 1:10:51.320
<v Speaker 1>to the.

1:10:51.360 --> 1:10:55.240
<v Speaker 13>Rolicks, so we Andy Hoffman are Swiss watch industry reporter

1:10:55.280 --> 1:10:59.360
<v Speaker 13>engineer has a great story. The watch brand Tutor is

1:10:59.360 --> 1:11:01.720
<v Speaker 13>a sister brand into a Rolex. They operate on the

1:11:01.720 --> 1:11:04.080
<v Speaker 13>same campus and until recently they were kind of made

1:11:04.120 --> 1:11:07.840
<v Speaker 13>of the same stuff. And Andy got the first ever

1:11:08.040 --> 1:11:10.960
<v Speaker 13>ever interview with the managing director of this company. He's

1:11:10.960 --> 1:11:14.080
<v Speaker 13>not even usually publicly identified, but they've really been trying

1:11:14.080 --> 1:11:16.360
<v Speaker 13>to step out from the shadow of Rolex, which is

1:11:16.720 --> 1:11:19.679
<v Speaker 13>the most famous watch company in the world, and they've

1:11:19.880 --> 1:11:22.479
<v Speaker 13>done an incredible job. Their five year sales growth has

1:11:22.520 --> 1:11:26.000
<v Speaker 13>been the fastest in the industry, among the fastest. They've

1:11:26.000 --> 1:11:28.880
<v Speaker 13>done a ton of marketing, They've got really cool celebrity partnerships.

1:11:29.240 --> 1:11:32.680
<v Speaker 13>And it went from this brand where they look kind

1:11:32.680 --> 1:11:34.840
<v Speaker 13>of like Rolex as the watches a little less now.

1:11:34.840 --> 1:11:38.240
<v Speaker 13>But so I always thought they were cool. But for example,

1:11:38.240 --> 1:11:39.840
<v Speaker 13>my husband would say, why would you get that watch?

1:11:39.880 --> 1:11:41.960
<v Speaker 13>People are just gonna assume it's a Rolex, and then

1:11:42.000 --> 1:11:44.120
<v Speaker 13>see it's not a Rolex, and see they realize you

1:11:44.120 --> 1:11:46.439
<v Speaker 13>didn't spend the amount of money on it that you

1:11:46.439 --> 1:11:48.800
<v Speaker 13>would have spent on a Rolex. They started almost half

1:11:48.840 --> 1:11:51.960
<v Speaker 13>the price, and now Tutor has turned that sort of

1:11:52.000 --> 1:11:55.839
<v Speaker 13>affordability and funky difference from Rolex into something really appealing

1:11:55.880 --> 1:11:58.240
<v Speaker 13>on its own, and it's one of the hottest watch brands.

1:11:58.479 --> 1:12:00.439
<v Speaker 3>Do they still kind of look like Lexes?

1:12:00.560 --> 1:12:00.880
<v Speaker 6>They do?

1:12:01.080 --> 1:12:02.840
<v Speaker 13>They do. I mean there's not a huge variety of

1:12:02.880 --> 1:12:05.840
<v Speaker 13>the watches. They have got these black Bay watches which

1:12:05.920 --> 1:12:08.160
<v Speaker 13>have a bezel. They look like a Tutor sub mariner,

1:12:08.240 --> 1:12:11.479
<v Speaker 13>I mean a Rolex sub mariner. But now I feel

1:12:11.479 --> 1:12:13.360
<v Speaker 13>like you can tell the difference when you look between

1:12:13.360 --> 1:12:13.679
<v Speaker 13>the two.

1:12:13.640 --> 1:12:16.120
<v Speaker 3>And you said about half the price, So what is that?

1:12:16.360 --> 1:12:19.599
<v Speaker 13>Well, so they start, we probably get a Tutor. They

1:12:19.640 --> 1:12:22.599
<v Speaker 13>started around eighteen hundred Swiss francs. Most people are buying

1:12:22.640 --> 1:12:24.479
<v Speaker 13>models of Tutor that are about four thousand and five

1:12:24.479 --> 1:12:27.479
<v Speaker 13>thousand US dollars and a Rolex model starts at like

1:12:27.600 --> 1:12:30.160
<v Speaker 13>nine or ten, and then they go way up and

1:12:30.800 --> 1:12:31.960
<v Speaker 13>Tutor watches don't really go.

1:12:32.080 --> 1:12:34.800
<v Speaker 1>There's a cute little tidbit too in the story. I'm

1:12:34.800 --> 1:12:37.439
<v Speaker 1>not going to give it away about Rolex's logo versus

1:12:37.479 --> 1:12:40.000
<v Speaker 1>a Tutor logo, but what.

1:12:40.120 --> 1:12:42.080
<v Speaker 13>Yeah, which I didn't even know, and I've covered watches

1:12:42.080 --> 1:12:45.280
<v Speaker 13>for ten years, I never really thought about it. Logo

1:12:45.360 --> 1:12:47.760
<v Speaker 13>is a crown, probably the most famous watch logo there is,

1:12:47.960 --> 1:12:51.240
<v Speaker 13>and the Tutor logo is a shield. And it's because

1:12:51.400 --> 1:12:55.120
<v Speaker 13>the shield defends the crown, and by operating in the

1:12:55.160 --> 1:12:58.160
<v Speaker 13>lower price space, Tutor makes it so that Rolex doesn't

1:12:58.240 --> 1:13:00.639
<v Speaker 13>have to make watches in those space and can pursue

1:13:00.640 --> 1:13:01.280
<v Speaker 13>the high high end.

1:13:01.280 --> 1:13:03.519
<v Speaker 1>None feel like I'm watching something else BBC or something.

1:13:03.320 --> 1:13:05.280
<v Speaker 3>I'm just going to turn out there. You could buy

1:13:05.320 --> 1:13:07.880
<v Speaker 3>a Tutor, or you could buy an Espresso machine and

1:13:07.920 --> 1:13:09.519
<v Speaker 3>grinder that absolutely true.

1:13:09.760 --> 1:13:14.040
<v Speaker 1>Or a piece of melon or a single piece of fruit,

1:13:14.439 --> 1:13:15.280
<v Speaker 1>can you tell us.

1:13:15.240 --> 1:13:16.120
<v Speaker 7>A great story?

1:13:16.160 --> 1:13:19.720
<v Speaker 1>Tell us about this melon that can be really expensive.

1:13:19.960 --> 1:13:23.280
<v Speaker 13>You may know about Japanese fruit. There's a certain kinds

1:13:23.280 --> 1:13:25.519
<v Speaker 13>of very special Japanese fruit that take a lot of

1:13:25.560 --> 1:13:28.280
<v Speaker 13>time to grow. They're very specially remember the square water

1:13:28.320 --> 1:13:30.280
<v Speaker 13>melons that were like very big a long time ago.

1:13:30.800 --> 1:13:32.800
<v Speaker 13>Used to be very difficult or impossible to get that

1:13:32.840 --> 1:13:36.400
<v Speaker 13>fruit in the United States. And just recently the Farmer's

1:13:36.439 --> 1:13:40.280
<v Speaker 13>Trade Group in Japan started actually setting up companies that

1:13:40.760 --> 1:13:43.240
<v Speaker 13>will distribute the fruit here in the United States because

1:13:43.840 --> 1:13:46.519
<v Speaker 13>fruit consumption of this these specialized fruits is going down

1:13:46.560 --> 1:13:48.240
<v Speaker 13>in Japan and the trying to grow the market and

1:13:48.240 --> 1:13:51.599
<v Speaker 13>also fewer people are getting into farming, and so these

1:13:51.720 --> 1:13:54.760
<v Speaker 13>melons which can be one hundred and twenty dollars.

1:13:54.760 --> 1:13:55.919
<v Speaker 3>For a single melllon.

1:13:56.040 --> 1:13:59.759
<v Speaker 13>Okay, that's funny, which they are grown in this Basically

1:13:59.760 --> 1:14:02.840
<v Speaker 13>these fruit are so special because they're grown in an

1:14:02.880 --> 1:14:06.759
<v Speaker 13>especially careful way and they're very concentrated in flavor and beauty.

1:14:06.800 --> 1:14:11.640
<v Speaker 3>To be honest, maybe they're massaged sometimes too. They or

1:14:11.680 --> 1:14:12.439
<v Speaker 3>wear a little hat.

1:14:12.520 --> 1:14:16.120
<v Speaker 13>When we received a melon to shoot for this story.

1:14:16.240 --> 1:14:19.760
<v Speaker 13>It arrived on a pillow.

1:14:20.479 --> 1:14:21.200
<v Speaker 3>Did you eat it?

1:14:21.800 --> 1:14:22.280
<v Speaker 13>Someone ate?

1:14:22.360 --> 1:14:22.839
<v Speaker 6>I didn't.

1:14:24.360 --> 1:14:26.439
<v Speaker 13>So like the melons, for example, are grown, there's just

1:14:26.479 --> 1:14:29.519
<v Speaker 13>like one little melon tree, one fruit per tree.

1:14:29.640 --> 1:14:29.920
<v Speaker 9>Wow.

1:14:29.960 --> 1:14:32.439
<v Speaker 13>They don't let it grow, more like they concentrate all

1:14:32.479 --> 1:14:35.280
<v Speaker 13>the energy into this one fruit. And strawberries are a

1:14:35.280 --> 1:14:38.519
<v Speaker 13>big thing that are are being imported now. Also some

1:14:38.800 --> 1:14:43.200
<v Speaker 13>citrus too, but the strawberries can be very expensive for

1:14:43.520 --> 1:14:45.920
<v Speaker 13>a pound, like eighty nine dollars a pound.

1:14:46.200 --> 1:14:47.520
<v Speaker 1>Your daughters had something.

1:14:47.479 --> 1:14:49.640
<v Speaker 13>Well, So this trend of Japanese who come to the

1:14:49.720 --> 1:14:53.240
<v Speaker 13>United States didn't actually start with importing. There is a

1:14:53.360 --> 1:14:57.000
<v Speaker 13>vertical farm in New Jersey where a Japanese farmer came

1:14:57.040 --> 1:14:59.400
<v Speaker 13>to the United States and built this vertical farm. And

1:14:59.400 --> 1:15:01.679
<v Speaker 13>they now sell the or strawberries through Whole Foods. They're

1:15:01.720 --> 1:15:04.400
<v Speaker 13>like fifteen dollars for what you would normally you know,

1:15:04.439 --> 1:15:08.559
<v Speaker 13>pay six taste differently, yes, they if you get them

1:15:08.600 --> 1:15:11.759
<v Speaker 13>from Whole Foods. They come in these like little individual buckets,

1:15:11.800 --> 1:15:14.600
<v Speaker 13>I guess in the container and they're very beautiful. Some

1:15:14.680 --> 1:15:18.719
<v Speaker 13>are white, some are bright red, and they taste extremely delicious.

1:15:19.320 --> 1:15:25.280
<v Speaker 1>Curtains for dust mites talk about this busy plus streamer.

1:15:24.880 --> 1:15:27.800
<v Speaker 13>So steamers. You may use a steamer. You may have

1:15:27.800 --> 1:15:30.160
<v Speaker 13>a steamer to use on your clothes oftentimes when you're traveling.

1:15:30.200 --> 1:15:31.640
<v Speaker 13>It's great if they have it in a hotel, just

1:15:31.680 --> 1:15:34.120
<v Speaker 13>get rid of the wrinkles really fast. There's a new

1:15:34.280 --> 1:15:36.080
<v Speaker 13>steamer that you can get for your house, but like

1:15:36.200 --> 1:15:39.320
<v Speaker 13>also like a pro sumer model by the Swiss housers

1:15:39.360 --> 1:15:42.759
<v Speaker 13>company Lara Star, and it not only will steamer clothes

1:15:42.960 --> 1:15:45.679
<v Speaker 13>at with like a three hundred and two degrees steam

1:15:45.720 --> 1:15:49.519
<v Speaker 13>at sixty five miles an hour. Think about that if

1:15:49.840 --> 1:15:53.240
<v Speaker 13>it also kills dust mites, so you can just like

1:15:53.760 --> 1:15:57.559
<v Speaker 13>spray it over your pillows and your mattresses and you

1:15:57.560 --> 1:15:59.479
<v Speaker 13>know you're sleeping with a lot of dust mites and

1:15:59.600 --> 1:16:02.519
<v Speaker 13>other gross tests. Steam just kills it.

1:16:02.680 --> 1:16:04.200
<v Speaker 3>Did not know we had so many dust.

1:16:04.160 --> 1:16:06.680
<v Speaker 1>Mites in our home, like an allergy test, and it's

1:16:06.720 --> 1:16:08.920
<v Speaker 1>like like I have no allergies except for dust mites

1:16:08.960 --> 1:16:09.839
<v Speaker 1>because they're everywhere.

1:16:09.920 --> 1:16:12.200
<v Speaker 3>Well, you got to get one of these, uh steamers, Carol.

1:16:13.080 --> 1:16:16.680
<v Speaker 13>You know how your pillow gets heavier over the years,

1:16:16.240 --> 1:16:19.360
<v Speaker 13>it's mites. Really, Yeah, that's why you gotta change around

1:16:20.160 --> 1:16:21.200
<v Speaker 13>or use this steamer.

1:16:21.320 --> 1:16:26.120
<v Speaker 1>Okay, everybody's gonna go home your pillow. Chris, thank you

1:16:26.160 --> 1:16:27.400
<v Speaker 1>so much, really appreciate it.

1:16:27.560 --> 1:16:30.240
<v Speaker 3>That's the editor of Bloomberg Pursuits, Chris Rodser. Check out

1:16:30.240 --> 1:16:32.719
<v Speaker 3>more from Pursuits in the entire Businesswek team by heading

1:16:32.760 --> 1:16:34.200
<v Speaker 3>to Bloomberg dot com.

1:16:34.240 --> 1:16:39.120
<v Speaker 2>This is the Bloomberg Business Week Podcast, Apple, Spotify, and

1:16:39.280 --> 1:16:43.360
<v Speaker 2>anywhere else you get your podcast. Listen live weekday afternoons

1:16:43.400 --> 1:16:46.320
<v Speaker 2>from two to five pm Eastern on Bloomberg dot com,

1:16:46.439 --> 1:16:49.719
<v Speaker 2>the iHeartRadio app tune In, and the Bloomberg Business App.

1:16:49.800 --> 1:16:52.880
<v Speaker 2>You can also watch us live every weekday on YouTube

1:16:52.960 --> 1:16:55.200
<v Speaker 2>and always on the Bloomberg Jermale