WEBVTT - Bloomberg Businessweek Weekend - June 6th, 2025

0:00:02.759 --> 0:00:07.240
<v Speaker 1>Bloomberg Audio Studios, Podcasts, Radio News.

0:00:08.640 --> 0:00:12.920
<v Speaker 2>This is Bloomberg Business Week Daily recording from the magazine

0:00:13.000 --> 0:00:16.840
<v Speaker 2>that helps global leaders stay ahead with insight on the people.

0:00:18.800 --> 0:00:22.959
<v Speaker 2>Today's complex economy brings together business, finance.

0:00:23.040 --> 0:00:24.520
<v Speaker 3>Business as it insights.

0:00:24.600 --> 0:00:28.680
<v Speaker 2>The Bloomberg Business Week Daily Comcast with Carol Mass and

0:00:28.840 --> 0:00:31.280
<v Speaker 2>Tim Sten Events Business Bloomberg Radio.

0:00:31.360 --> 0:00:33.000
<v Speaker 4>Today, we're going to bring you some of our favorite

0:00:33.000 --> 0:00:36.440
<v Speaker 4>conversations from the event. We'll hear from leaders across the

0:00:36.520 --> 0:00:40.879
<v Speaker 4>tech sector, including CEOs, podcasters, and even a Nobel laureate.

0:00:41.080 --> 0:00:43.840
<v Speaker 4>First up this hour, we spoke with Anne Romandi. She's

0:00:43.880 --> 0:00:46.080
<v Speaker 4>the chief operating officer of Asauna.

0:00:46.400 --> 0:00:47.919
<v Speaker 5>I want to bring in Anne Rimondi.

0:00:48.120 --> 0:00:52.560
<v Speaker 4>She is COO of Asauna, the productivity platform. She joins

0:00:52.600 --> 0:00:56.200
<v Speaker 4>us here on set at the Bloomberg at the Bloomberg

0:00:56.240 --> 0:01:00.840
<v Speaker 4>Technology Summit. Shares of asanafel by twenty percent on Wednesday.

0:01:01.040 --> 0:01:04.160
<v Speaker 4>The company's first quarter results prompted a downgrade by HSBC,

0:01:04.400 --> 0:01:07.760
<v Speaker 4>despite the fact that revenue came in right on the

0:01:07.800 --> 0:01:10.800
<v Speaker 4>average analiss estimate. The company also Carol raised its full

0:01:10.880 --> 0:01:14.520
<v Speaker 4>year non gap operating margin guidance as it was reflecting

0:01:14.520 --> 0:01:18.080
<v Speaker 4>our confidence and our ability to drive durable, profitable growth

0:01:18.120 --> 0:01:20.360
<v Speaker 4>even in the face of macroeconomic uncertainty.

0:01:20.400 --> 0:01:22.560
<v Speaker 6>There's a lot coming at companies. And Ramandi is COO

0:01:22.640 --> 0:01:24.760
<v Speaker 6>and head of business at Asana. Company has a three

0:01:24.800 --> 0:01:26.640
<v Speaker 6>and a half billion dollar market cap and she's here

0:01:26.680 --> 0:01:27.080
<v Speaker 6>on site.

0:01:27.280 --> 0:01:28.600
<v Speaker 7>Nice to have you here with us.

0:01:28.600 --> 0:01:30.720
<v Speaker 8>Great to be here. Good, it's so great to see

0:01:30.760 --> 0:01:33.000
<v Speaker 8>both of you. And excited to be here at the conference.

0:01:33.080 --> 0:01:35.000
<v Speaker 7>It's great to have you here. We love the energy.

0:01:35.240 --> 0:01:38.600
<v Speaker 6>Tell us though, about this macro environment and the macro uncertainty.

0:01:38.120 --> 0:01:38.920
<v Speaker 7>That's still out there.

0:01:39.000 --> 0:01:41.280
<v Speaker 8>Yeah, I think a lot of it is just slowing

0:01:41.280 --> 0:01:44.240
<v Speaker 8>down some of the bigger decisions that customers are making,

0:01:44.360 --> 0:01:48.520
<v Speaker 8>whether that's site full spail transformation or a lot of

0:01:48.640 --> 0:01:52.680
<v Speaker 8>larger consolidation initiatives. But the bright spots we're seeing is

0:01:52.840 --> 0:01:56.280
<v Speaker 8>companies are leaning really heavily into AI and so that's

0:01:56.360 --> 0:02:00.640
<v Speaker 8>where we are also really excited. We launched AI, which

0:02:00.680 --> 0:02:03.520
<v Speaker 8>is an add on to the Asana platform, and that

0:02:03.600 --> 0:02:05.880
<v Speaker 8>performed really well in Q one, and it didn't fully

0:02:05.920 --> 0:02:08.320
<v Speaker 8>launch until sort of the second half of Q one,

0:02:08.360 --> 0:02:10.679
<v Speaker 8>but that's where we're seeing a lot of customer excitement.

0:02:10.919 --> 0:02:13.080
<v Speaker 4>I'm glad you brought up AID because that's exactly where

0:02:13.080 --> 0:02:14.720
<v Speaker 4>I want to go. I've been thinking a lot about

0:02:14.760 --> 0:02:17.400
<v Speaker 4>what I heard from Dario amade over at Endthropic. I

0:02:17.440 --> 0:02:19.519
<v Speaker 4>think it was just last week he told Axios that

0:02:19.880 --> 0:02:23.239
<v Speaker 4>we could see some real workforce destruction in the next one.

0:02:23.040 --> 0:02:24.000
<v Speaker 5>To five years.

0:02:24.320 --> 0:02:28.919
<v Speaker 4>AI could lead to ten or twenty percent unemployment if

0:02:29.000 --> 0:02:31.079
<v Speaker 4>and he could destroy about half of all entry level

0:02:31.120 --> 0:02:34.200
<v Speaker 4>white collar jobs. If that happens, that would be really

0:02:34.200 --> 0:02:36.880
<v Speaker 4>bad for companies that make productivity software like Asana.

0:02:37.000 --> 0:02:41.960
<v Speaker 8>Now, what we're seeing is, and you know, Anthropic is

0:02:42.000 --> 0:02:45.480
<v Speaker 8>a very important partner of ours, Dustin, our founder and CEO,

0:02:45.600 --> 0:02:50.480
<v Speaker 8>is quite involved there. There's the bigger concern of disruption

0:02:50.560 --> 0:02:51.080
<v Speaker 8>of jobs.

0:02:51.160 --> 0:02:52.400
<v Speaker 7>I think what we're seeing.

0:02:52.160 --> 0:02:56.639
<v Speaker 8>With our customers though, is the ones that are kind

0:02:56.639 --> 0:03:00.520
<v Speaker 8>of staying ahead. They see the opportunity right right now

0:03:00.680 --> 0:03:04.600
<v Speaker 8>is human and AI collaboration. Because as far as you know,

0:03:04.680 --> 0:03:09.000
<v Speaker 8>we're seeing, AI is not fully replacing entire jobs. I

0:03:09.000 --> 0:03:13.040
<v Speaker 8>think what AI is really good at is automating a

0:03:13.080 --> 0:03:16.400
<v Speaker 8>lot of tasks that right now could allow people to

0:03:16.440 --> 0:03:17.240
<v Speaker 8>be more productive.

0:03:17.360 --> 0:03:20.640
<v Speaker 4>So we're right, do you c AI fully replacing jobs

0:03:20.639 --> 0:03:23.600
<v Speaker 4>in the next one to five years, Like Dario Amide says,

0:03:24.800 --> 0:03:25.200
<v Speaker 4>I don't.

0:03:25.080 --> 0:03:28.079
<v Speaker 8>Think I'm in the physician to predict quite as well

0:03:28.080 --> 0:03:32.480
<v Speaker 8>as Doris. But I do think we see, you know,

0:03:32.520 --> 0:03:35.280
<v Speaker 8>with our customers. What we see is they're very intentional

0:03:35.360 --> 0:03:38.240
<v Speaker 8>of there are some jobs that are likely the most

0:03:38.280 --> 0:03:41.080
<v Speaker 8>likely to go away, the ones that are tasks that

0:03:41.200 --> 0:03:43.960
<v Speaker 8>can be and in some ways you want to be

0:03:44.040 --> 0:03:46.480
<v Speaker 8>replaced by AI so people can be doing things that

0:03:46.480 --> 0:03:48.960
<v Speaker 8>are more creative and more productive. I think there are

0:03:48.960 --> 0:03:51.920
<v Speaker 8>some jobs that will be changed with AI where A

0:03:52.120 --> 0:03:54.000
<v Speaker 8>is going to be an integral part of how people

0:03:54.040 --> 0:03:56.760
<v Speaker 8>do their jobs. And then what we're hopeful for is

0:03:56.760 --> 0:04:00.120
<v Speaker 8>that there's a whole set of new jobs that are

0:04:00.440 --> 0:04:01.640
<v Speaker 8>that only people can do.

0:04:02.480 --> 0:04:03.600
<v Speaker 7>So I do think.

0:04:03.440 --> 0:04:07.040
<v Speaker 8>We're right in the midst of uh, you know, transformation

0:04:07.560 --> 0:04:10.200
<v Speaker 8>at a rate that we probably haven't seen before.

0:04:10.800 --> 0:04:12.360
<v Speaker 7>But what we're really focused.

0:04:11.960 --> 0:04:17.360
<v Speaker 8>On is like helping companies manage through that transition by

0:04:17.520 --> 0:04:22.120
<v Speaker 8>enabling their existing employees to embrace AI in their workflows.

0:04:22.360 --> 0:04:23.839
<v Speaker 6>And one thing I want to ask you about is

0:04:23.920 --> 0:04:25.360
<v Speaker 6>I think all of a sudden, tim and I think

0:04:25.400 --> 0:04:27.560
<v Speaker 6>feel it in terms of the use of AI, where

0:04:27.560 --> 0:04:29.440
<v Speaker 6>it was kind of like, ohyeah, everybody else is using it,

0:04:29.480 --> 0:04:31.720
<v Speaker 6>and all of a sudden, we're really leaning in big Yeah,

0:04:32.279 --> 0:04:36.800
<v Speaker 6>finding it super productive, but that innovation or innovative.

0:04:36.279 --> 0:04:38.159
<v Speaker 7>Cycle is moving really quickly.

0:04:38.240 --> 0:04:39.760
<v Speaker 6>Yeah, and I do wonder what it means for a

0:04:39.760 --> 0:04:42.360
<v Speaker 6>company like you where you are kind of facing that

0:04:43.000 --> 0:04:46.400
<v Speaker 6>speed and then hoping to continue to differentiate yourself from

0:04:46.440 --> 0:04:47.800
<v Speaker 6>everybody else who's also.

0:04:47.600 --> 0:04:49.119
<v Speaker 7>Moving really fastest. Yeah.

0:04:49.200 --> 0:04:51.279
<v Speaker 8>Well, one of the things that we're saying is like,

0:04:51.480 --> 0:04:55.160
<v Speaker 8>at least for our business, why we're investing so heavily

0:04:55.160 --> 0:04:58.400
<v Speaker 8>in AI is that we do see a shift ultimately

0:04:58.440 --> 0:05:02.120
<v Speaker 8>from seat based in so to consumption base and so

0:05:02.360 --> 0:05:05.360
<v Speaker 8>wanting to be ahead of that. I think the other

0:05:05.400 --> 0:05:08.440
<v Speaker 8>thing that we're really seeing that's important to sort of

0:05:08.480 --> 0:05:12.440
<v Speaker 8>focus on is like, how can the companies enable employees

0:05:12.560 --> 0:05:17.240
<v Speaker 8>to understand how the LMS work be proactive in where

0:05:17.240 --> 0:05:19.920
<v Speaker 8>they're applying and deploying AIG education.

0:05:19.600 --> 0:05:21.600
<v Speaker 7>Side there really there, really really is.

0:05:22.240 --> 0:05:24.440
<v Speaker 8>The other thing that we're seeing is you were mentioned

0:05:24.440 --> 0:05:27.839
<v Speaker 8>like now everyone's using it, but what we're also finding

0:05:28.000 --> 0:05:31.080
<v Speaker 8>is that when it is very bottoms up and in

0:05:31.160 --> 0:05:35.400
<v Speaker 8>every single tool and everybody's got a chat bop, companies

0:05:35.440 --> 0:05:40.880
<v Speaker 8>actually aren't realizing the either the productivity gains or the acceleration.

0:05:41.520 --> 0:05:45.159
<v Speaker 8>The companies that are moving ahead are doing it in

0:05:45.200 --> 0:05:49.240
<v Speaker 8>the very tops down coordinated way, which isn't always how

0:05:49.279 --> 0:05:51.040
<v Speaker 8>technology has been adopted in the past.

0:05:51.080 --> 0:05:52.480
<v Speaker 7>But with AI, I think that.

0:05:52.560 --> 0:05:55.680
<v Speaker 8>Strategic view on where you're going to deploy AI is

0:05:55.760 --> 0:05:58.679
<v Speaker 8>really critical to actually realize the gains.

0:05:59.200 --> 0:06:01.760
<v Speaker 4>Let's talk a little bit of the macro economic environment.

0:06:01.839 --> 0:06:04.800
<v Speaker 4>You've got a great view of the global economy. Where

0:06:04.800 --> 0:06:06.400
<v Speaker 4>are you seeing strength where you're seeing weakness?

0:06:06.839 --> 0:06:10.320
<v Speaker 8>Yeah, geographically for us, we're actually seeing quite a bit

0:06:10.360 --> 0:06:13.480
<v Speaker 8>of strength internationally in emia in Japan.

0:06:14.720 --> 0:06:16.720
<v Speaker 7>Does that surprise us that?

0:06:17.080 --> 0:06:19.680
<v Speaker 8>You know, that doesn't be given all the things in

0:06:19.720 --> 0:06:22.320
<v Speaker 8>the macro But I think for us in particular the

0:06:22.360 --> 0:06:26.320
<v Speaker 8>segments and the verticals that we're in outside of tech,

0:06:26.760 --> 0:06:30.080
<v Speaker 8>a lot of companies are continuing to you know, invest

0:06:30.080 --> 0:06:35.560
<v Speaker 8>in technology, invest intentionally in AI. We see that in manufacturing, energy,

0:06:35.760 --> 0:06:37.880
<v Speaker 8>financial services, healthcare.

0:06:38.200 --> 0:06:40.960
<v Speaker 4>But is this is this a function of actual strength

0:06:41.000 --> 0:06:43.400
<v Speaker 4>in those economies or is it a function of these

0:06:43.440 --> 0:06:44.680
<v Speaker 4>are the sectors.

0:06:44.200 --> 0:06:46.200
<v Speaker 5>That are finally adopting this technology.

0:06:46.240 --> 0:06:48.159
<v Speaker 4>So the tech sector was the first sector to do that,

0:06:48.600 --> 0:06:51.760
<v Speaker 4>obviously your core customer base, but now you're seeing your

0:06:51.760 --> 0:06:55.120
<v Speaker 4>tools being adopted by other types of companies the latter.

0:06:55.279 --> 0:06:58.560
<v Speaker 8>Yeah, that they're really embracing, Hey, how can they be

0:06:59.160 --> 0:07:03.640
<v Speaker 8>intentional and active in not only adopting collaborative work management,

0:07:03.720 --> 0:07:04.920
<v Speaker 8>but AI on top of that.

0:07:05.360 --> 0:07:07.120
<v Speaker 6>I got to ask you just be cast today the

0:07:07.120 --> 0:07:09.840
<v Speaker 6>press conference from the White House, there's a lot said

0:07:09.920 --> 0:07:14.640
<v Speaker 6>about Elon. It was a long one, and it does

0:07:14.680 --> 0:07:19.160
<v Speaker 6>feel like the romance, the big tech romance between President

0:07:19.200 --> 0:07:20.440
<v Speaker 6>Trump and Elon Musk is over.

0:07:20.600 --> 0:07:22.920
<v Speaker 7>Is that a good or bad thing for the tech community?

0:07:23.760 --> 0:07:24.240
<v Speaker 5>Oh?

0:07:26.240 --> 0:07:27.920
<v Speaker 8>I do not know if I am the expert to

0:07:27.960 --> 0:07:28.760
<v Speaker 8>answer that question.

0:07:28.800 --> 0:07:30.880
<v Speaker 6>I wonder he's on there rate, you know, and he's

0:07:31.040 --> 0:07:33.600
<v Speaker 6>he's I think Elon is going out on social I

0:07:33.600 --> 0:07:35.760
<v Speaker 6>mean a little aggressive at this.

0:07:35.760 --> 0:07:37.920
<v Speaker 7>Point after being like this, it seems like I.

0:07:38.760 --> 0:07:42.840
<v Speaker 8>Think underlying what we should all be focusing on as Hey,

0:07:42.960 --> 0:07:47.880
<v Speaker 8>with uncertainty in the global macro, what can we do

0:07:48.080 --> 0:07:51.760
<v Speaker 8>to make sure the most important businesses and companies and

0:07:51.800 --> 0:07:56.840
<v Speaker 8>innovations are being invested in and accelerating, right, or a

0:07:56.840 --> 0:07:58.560
<v Speaker 8>different way to say it, Roumy is like we're trying

0:07:58.560 --> 0:07:59.960
<v Speaker 8>to figure out, like how do we control the good

0:08:00.120 --> 0:08:04.040
<v Speaker 8>roll levels? Yeah, and know that we're in a you know,

0:08:04.120 --> 0:08:06.800
<v Speaker 8>relatively volatile and political environment.

0:08:06.920 --> 0:08:07.840
<v Speaker 7>Yeah, to say the least.

0:08:07.880 --> 0:08:11.120
<v Speaker 6>Yeah, Tim ask you about you know, growth geographically, and

0:08:11.160 --> 0:08:12.720
<v Speaker 6>we talked I feel like we talked a lot about

0:08:12.720 --> 0:08:14.680
<v Speaker 6>what's going on overseas. How do you describe the US

0:08:14.720 --> 0:08:17.320
<v Speaker 6>market right now and willing to do the capital spend,

0:08:17.320 --> 0:08:19.680
<v Speaker 6>whether it's on software, whether it's you know, that's your world.

0:08:20.440 --> 0:08:22.320
<v Speaker 7>But what is kind of your take on that.

0:08:22.480 --> 0:08:25.960
<v Speaker 8>The sentiment we're hearing, especially from our larger customers is

0:08:26.360 --> 0:08:30.520
<v Speaker 8>a lot more intentionality. I would say, and there aware

0:08:30.560 --> 0:08:33.040
<v Speaker 8>there's a bad yard, there is, there is and then

0:08:33.120 --> 0:08:35.760
<v Speaker 8>I think there's you know, again depends on the sector

0:08:36.960 --> 0:08:40.400
<v Speaker 8>they're trying to figure out from a priority standpoint one,

0:08:40.679 --> 0:08:43.679
<v Speaker 8>how much do you invest in AI and where? And

0:08:43.720 --> 0:08:47.520
<v Speaker 8>then everything else technology wise? You know, I do think

0:08:47.559 --> 0:08:51.120
<v Speaker 8>there's we're seeing a lot more movement towards consolidation, which

0:08:51.160 --> 0:08:54.120
<v Speaker 8>is which really was sort of the after effects of

0:08:54.280 --> 0:08:56.800
<v Speaker 8>like the technology bloat during the pandemic.

0:08:57.400 --> 0:08:59.480
<v Speaker 4>Speaking of the tech, we're seeing in prints and costs

0:08:59.520 --> 0:09:03.360
<v Speaker 4>actually down, a gentic workflow is making in roads. Job

0:09:03.400 --> 0:09:07.160
<v Speaker 4>growth particularly and tech has been slow or is trending down.

0:09:07.559 --> 0:09:10.360
<v Speaker 4>What does all this mean to your seat based revenue

0:09:10.760 --> 0:09:13.320
<v Speaker 4>model and where really are we are in that transition?

0:09:13.559 --> 0:09:18.880
<v Speaker 8>Yeah, I mean we're actively looking to you know, sort

0:09:18.920 --> 0:09:22.600
<v Speaker 8>of balance from a fully seat based to a hybrid

0:09:22.640 --> 0:09:24.920
<v Speaker 8>of seat based and consumption based. And we also think

0:09:24.960 --> 0:09:27.839
<v Speaker 8>there's a sub segment of customers ultimately that may be

0:09:27.960 --> 0:09:31.640
<v Speaker 8>spending more on consumption and we're already seeing early signs

0:09:31.640 --> 0:09:34.040
<v Speaker 8>of that, probably in more like our mid market customers

0:09:34.080 --> 0:09:37.480
<v Speaker 8>who are now spending as much on seat as they

0:09:37.520 --> 0:09:41.160
<v Speaker 8>are on AI and the credits. So I think that's

0:09:41.160 --> 0:09:44.400
<v Speaker 8>like good, you know, positive news in terms of a transition,

0:09:45.320 --> 0:09:47.560
<v Speaker 8>and so we're can you know, continue to invest in

0:09:47.720 --> 0:09:49.760
<v Speaker 8>how we might help customers.

0:09:49.360 --> 0:09:50.520
<v Speaker 7>Sort of shift in that direction.

0:09:50.640 --> 0:09:52.560
<v Speaker 6>One of last question is I think something we talked about,

0:09:52.640 --> 0:09:56.080
<v Speaker 6>you know, all of these programs that AI will make

0:09:56.160 --> 0:09:58.240
<v Speaker 6>us more productive, no doubt about it. But going back

0:09:58.280 --> 0:10:00.920
<v Speaker 6>to that idea of like what jobs does it take

0:10:01.000 --> 0:10:03.920
<v Speaker 6>that headcount, like, ultimately does it make us more productive?

0:10:03.960 --> 0:10:06.640
<v Speaker 6>We don't need so many people. And then coming back

0:10:06.640 --> 0:10:08.680
<v Speaker 6>to you, guys, we're not going to need as much

0:10:09.320 --> 0:10:11.800
<v Speaker 6>in terms of demand and product from everybody.

0:10:12.000 --> 0:10:13.640
<v Speaker 7>Here's that cycle going to play out?

0:10:14.600 --> 0:10:18.000
<v Speaker 8>Possibly One of the things you know, Dustin, our CEO

0:10:18.040 --> 0:10:21.400
<v Speaker 8>and founder often talked about is like, hey, what this

0:10:21.480 --> 0:10:25.560
<v Speaker 8>evolution may look like again depending on the kind of company,

0:10:25.880 --> 0:10:27.880
<v Speaker 8>what problems they solve, what products they.

0:10:27.760 --> 0:10:28.439
<v Speaker 9>Bring to market.

0:10:28.760 --> 0:10:31.640
<v Speaker 8>Is that they will start to see a shift from

0:10:31.840 --> 0:10:37.040
<v Speaker 8>payroll spend to sort of AI consumption spend. And you know, Tim,

0:10:37.080 --> 0:10:40.040
<v Speaker 8>you mentioned, hey, we're seeing costs come down. One of

0:10:40.080 --> 0:10:44.480
<v Speaker 8>the things we really provide is choice for customers to

0:10:44.720 --> 0:10:48.960
<v Speaker 8>actually transparently pick the models depending on the workflow, how

0:10:48.960 --> 0:10:52.400
<v Speaker 8>complex it they So there's andy they can choose that

0:10:52.559 --> 0:10:54.760
<v Speaker 8>And so I think that's going to be really critical too,

0:10:54.960 --> 0:10:57.760
<v Speaker 8>is like it's not all models against you know, sort

0:10:57.760 --> 0:11:00.920
<v Speaker 8>of like all problems really being able to pick judiciously.

0:11:01.760 --> 0:11:04.839
<v Speaker 4>That's Ann Ramandi, the chief operating officer of Asana.

0:11:05.000 --> 0:11:07.559
<v Speaker 6>You're listening to a special edition of Bloomberg Business Week,

0:11:07.800 --> 0:11:10.480
<v Speaker 6>coming out more conversations from our trip out west to

0:11:10.520 --> 0:11:13.760
<v Speaker 6>the Bloomberg Tech Summit. I'm Carol Masser with Tim Stenebeck.

0:11:14.040 --> 0:11:15.079
<v Speaker 5>This is Bloomberg.

0:11:22.200 --> 0:11:26.200
<v Speaker 2>You're listening to the Bloomberg Business Weekdaily Podcast. Catch us

0:11:26.280 --> 0:11:29.720
<v Speaker 2>live weekday afternoons from two to five pm Eastern. Listen

0:11:29.760 --> 0:11:33.320
<v Speaker 2>on Apple CarPlay and Android Auto with the Bloomberg Business app,

0:11:33.480 --> 0:11:35.280
<v Speaker 2>or watch us live on YouTube.

0:11:36.240 --> 0:11:38.760
<v Speaker 6>Welcome back to a special edition of Bloomberg Business Week.

0:11:39.080 --> 0:11:41.439
<v Speaker 6>Taking a look at some of our favorite conversations from

0:11:41.440 --> 0:11:42.640
<v Speaker 6>the Bloomberg Tech Summit.

0:11:42.960 --> 0:11:45.719
<v Speaker 4>Up next, we hear from Florian Cybel, co founder and

0:11:45.800 --> 0:11:48.920
<v Speaker 4>CEO of Quantum Systems, Carol By early twenty twenty five.

0:11:48.960 --> 0:11:50.520
<v Speaker 4>This is remarkable. When I was pre praying for this,

0:11:51.000 --> 0:11:54.280
<v Speaker 4>drones were accounting to sixty to seventy percent of the

0:11:54.360 --> 0:11:57.320
<v Speaker 4>damage and destruction cause to Russian equipment in the world.

0:11:57.360 --> 0:11:59.800
<v Speaker 4>This is according to data from the UK based think tank,

0:12:00.120 --> 0:12:01.960
<v Speaker 4>the Royal United Services Institute.

0:12:02.000 --> 0:12:03.760
<v Speaker 6>You got to say, the way we think about warfare

0:12:03.760 --> 0:12:07.840
<v Speaker 6>has definitely changed dramatically. And this is where Florian Cybel

0:12:07.880 --> 0:12:10.760
<v Speaker 6>comes in. He's a former German Army helicopter pilot, an

0:12:10.800 --> 0:12:14.319
<v Speaker 6>aeronautical engineer who a decade ago founded a company called

0:12:14.400 --> 0:12:18.760
<v Speaker 6>Quantum Systems. It makes multi sensored drones. Now ninety percent

0:12:18.800 --> 0:12:21.280
<v Speaker 6>of its sales go to the military sector, and it's

0:12:21.280 --> 0:12:25.040
<v Speaker 6>provided thousands of drones to Ukraine specifically, and so we're

0:12:25.080 --> 0:12:25.280
<v Speaker 6>kind of.

0:12:25.320 --> 0:12:26.079
<v Speaker 7>Dying to talk to him.

0:12:26.240 --> 0:12:28.800
<v Speaker 4>Flora Cybele joins us from Italy, Florid.

0:12:28.880 --> 0:12:30.079
<v Speaker 5>Good to have you with us. I know there's a

0:12:30.120 --> 0:12:30.760
<v Speaker 5>little bit of delay.

0:12:30.800 --> 0:12:32.920
<v Speaker 4>We appreciate you taking the time and stand up a

0:12:32.920 --> 0:12:35.959
<v Speaker 4>little late. In Europe for US on Bloomberg Business Week Daily.

0:12:36.280 --> 0:12:38.520
<v Speaker 4>First big question that I have for you is, given

0:12:38.800 --> 0:12:41.360
<v Speaker 4>what you know about Sunday's drone attack, were any of

0:12:41.400 --> 0:12:43.840
<v Speaker 4>your drones actually used in that attack?

0:12:44.760 --> 0:12:48.280
<v Speaker 10>So what we know not as in a way that

0:12:48.360 --> 0:12:51.520
<v Speaker 10>they would act as being the ultimate weapon.

0:12:52.040 --> 0:12:54.040
<v Speaker 11>All of the drones that we are building are.

0:12:54.040 --> 0:12:58.560
<v Speaker 10>Used for ISR missions, which is intelligence, suwans and reconnaissance.

0:12:58.600 --> 0:13:02.280
<v Speaker 10>So that means we are spotting potential targets. So our

0:13:02.360 --> 0:13:05.560
<v Speaker 10>drones have wings, we have flight time of several hours,

0:13:06.080 --> 0:13:09.520
<v Speaker 10>and then we've we fly deep into anti enemy territories,

0:13:09.559 --> 0:13:12.440
<v Speaker 10>so we we spot and then then then other type

0:13:12.440 --> 0:13:13.280
<v Speaker 10>of drones come in.

0:13:14.080 --> 0:13:18.760
<v Speaker 4>Do do your drones ultimately replace the capabilities of aircraft

0:13:18.800 --> 0:13:20.240
<v Speaker 4>such as the U two spyplane.

0:13:21.200 --> 0:13:24.760
<v Speaker 11>Well, you know, there's there's a reason for every asset

0:13:24.880 --> 0:13:28.000
<v Speaker 11>to have and I think you know mostly you know,

0:13:28.280 --> 0:13:32.160
<v Speaker 11>war times are times of change, and new doctrines are happening,

0:13:32.280 --> 0:13:35.640
<v Speaker 11>and and every war that is coming up will not

0:13:35.880 --> 0:13:38.319
<v Speaker 11>start as as the as the last one ended.

0:13:38.400 --> 0:13:41.760
<v Speaker 10>So you know, I'm not really sure if the next

0:13:41.880 --> 0:13:44.400
<v Speaker 10>war will be all about drones. But but what I

0:13:44.440 --> 0:13:49.040
<v Speaker 10>can say now, definitely it's it's a vehicle for Ukraine.

0:13:49.160 --> 0:13:52.040
<v Speaker 11>To to fight off Russia because.

0:13:51.800 --> 0:13:57.240
<v Speaker 10>They did not have enough conventional weapons to take to

0:13:57.280 --> 0:14:01.240
<v Speaker 10>take them to the battlefield the way would have expected.

0:14:01.320 --> 0:14:05.000
<v Speaker 10>So I mean they were just very curious and then

0:14:05.440 --> 0:14:06.319
<v Speaker 10>using what they.

0:14:06.200 --> 0:14:08.960
<v Speaker 11>Have and and and then that's where we are. And

0:14:09.000 --> 0:14:11.880
<v Speaker 11>you know, this is technology changing the way things happen.

0:14:12.559 --> 0:14:14.200
<v Speaker 6>Well, that's where Florine I kind of want to go.

0:14:14.240 --> 0:14:17.600
<v Speaker 6>I think after that drone strike by Ukraine in Russia,

0:14:17.960 --> 0:14:18.480
<v Speaker 6>we had so.

0:14:18.360 --> 0:14:20.120
<v Speaker 7>Many conversations in the newsroom.

0:14:19.720 --> 0:14:22.560
<v Speaker 6>About, oh my gosh, like warfare just continually to change

0:14:22.640 --> 0:14:25.640
<v Speaker 6>very dramatically. My dad and his three brothers all thought

0:14:25.680 --> 0:14:29.040
<v Speaker 6>in World War World War two, excuse me, a lot

0:14:29.080 --> 0:14:31.360
<v Speaker 6>of hand to man to man combat was just a

0:14:31.480 --> 0:14:33.760
<v Speaker 6>very different type of warfare. You know, we've seen the

0:14:33.800 --> 0:14:37.320
<v Speaker 6>gamification of warfare. How does drones kind of make it

0:14:37.360 --> 0:14:40.360
<v Speaker 6>safer on one level in terms of not putting people

0:14:40.480 --> 0:14:42.320
<v Speaker 6>at the kind of right at the top, you know,

0:14:42.360 --> 0:14:44.240
<v Speaker 6>the front line, if you will, But at the same

0:14:44.280 --> 0:14:47.000
<v Speaker 6>time make it easier for someone to flip a switch

0:14:47.080 --> 0:14:49.120
<v Speaker 6>and send drones into combat.

0:14:49.400 --> 0:14:51.880
<v Speaker 10>You know, you use the word that that describes it

0:14:51.960 --> 0:14:56.680
<v Speaker 10>quite well, which is gamification. You know, it's it's using

0:14:57.320 --> 0:15:02.480
<v Speaker 10>a lot of technology that yeah, was spilling over from

0:15:02.560 --> 0:15:06.640
<v Speaker 10>adjacent industries like cell phone technology. You know a lot

0:15:06.680 --> 0:15:12.800
<v Speaker 10>of the small stuff chips, batteries, cameras that that they

0:15:12.840 --> 0:15:16.160
<v Speaker 10>weren't just not available a few years ago to companies

0:15:16.240 --> 0:15:19.640
<v Speaker 10>like US. And you know, the cell phone industry basically

0:15:20.560 --> 0:15:27.520
<v Speaker 10>allowed us all to disrupt classical defense military companies because

0:15:27.640 --> 0:15:32.320
<v Speaker 10>now you know it, it's available to everybody. And and

0:15:32.560 --> 0:15:35.520
<v Speaker 10>China is very strong in that regard. And I think

0:15:35.560 --> 0:15:38.600
<v Speaker 10>what has to happen now is we need to rebuild,

0:15:38.720 --> 0:15:42.200
<v Speaker 10>specifically in the US, but also in Germany and Europe.

0:15:42.200 --> 0:15:45.520
<v Speaker 10>We need to rebuild the industrial base to be capable

0:15:45.600 --> 0:15:49.880
<v Speaker 10>of producing thousands, ten thousands, one hundred thousands of these units.

0:15:49.680 --> 0:15:50.280
<v Speaker 12>It's it's not.

0:15:50.320 --> 0:15:54.720
<v Speaker 10>About like a few multi hundred million dollar aircraft anymore.

0:15:54.760 --> 0:16:00.680
<v Speaker 10>It's about large numbers are treatable platforms. You know, you

0:16:00.760 --> 0:16:04.520
<v Speaker 10>want to saturate your adversary. And and there's companies like

0:16:04.600 --> 0:16:06.560
<v Speaker 10>Quantum and and you all in the US that are

0:16:06.640 --> 0:16:08.720
<v Speaker 10>changing the rules how we play.

0:16:09.000 --> 0:16:11.400
<v Speaker 6>Florine, I am curious there is there somebody, an entity,

0:16:11.400 --> 0:16:13.000
<v Speaker 6>a country that you will not sell to.

0:16:13.600 --> 0:16:16.880
<v Speaker 10>Well, you know, in Germany, all of what we do

0:16:17.000 --> 0:16:20.240
<v Speaker 10>is very regulated, and so we have a German Export

0:16:20.480 --> 0:16:24.440
<v Speaker 10>Control Authority which is called BATHA, which is very much

0:16:24.480 --> 0:16:29.800
<v Speaker 10>in line with NATO and the German governmental official position,

0:16:30.080 --> 0:16:33.320
<v Speaker 10>and so we have to we have to fulfill these

0:16:33.360 --> 0:16:38.480
<v Speaker 10>guidelines and guard Yeah, and so it's basically impossible for us,

0:16:38.640 --> 0:16:41.160
<v Speaker 10>you know, from a legal perspective, for example, to sell

0:16:41.200 --> 0:16:44.800
<v Speaker 10>into countries like Iran and Russia and China. But also

0:16:44.880 --> 0:16:47.680
<v Speaker 10>you know then that that that's the legal perspective on it.

0:16:47.720 --> 0:16:50.920
<v Speaker 10>And then we obviously we as the founders and we

0:16:51.400 --> 0:16:54.920
<v Speaker 10>together with our investors have made it very clear that

0:16:55.360 --> 0:16:58.600
<v Speaker 10>even though if we could sell to certain countries, you know,

0:16:58.760 --> 0:17:01.560
<v Speaker 10>we we we we have to feel comfortable with that

0:17:01.680 --> 0:17:06.320
<v Speaker 10>as a company. So for example, Saudi Arabia is probably

0:17:06.400 --> 0:17:10.719
<v Speaker 10>one of those those countries that would would be quite

0:17:10.800 --> 0:17:14.680
<v Speaker 10>obvious that we could sell to, but we would probably

0:17:14.680 --> 0:17:16.600
<v Speaker 10>have a discussion before do so.

0:17:17.119 --> 0:17:19.400
<v Speaker 4>You mentioned investors. The company is back by Peter Till

0:17:19.440 --> 0:17:20.920
<v Speaker 4>We're going to talk about that in just a minute.

0:17:20.960 --> 0:17:22.399
<v Speaker 4>Before we get there, I want to talk about the

0:17:22.400 --> 0:17:25.080
<v Speaker 4>opportunity outside of Europe, because for much of the past

0:17:25.080 --> 0:17:27.960
<v Speaker 4>three years you have been selling your drones to Ukraine,

0:17:27.960 --> 0:17:29.960
<v Speaker 4>but you did just open a one hundred and thirty

0:17:30.000 --> 0:17:34.000
<v Speaker 4>five thousand square foot facility here in California. What is

0:17:34.000 --> 0:17:36.200
<v Speaker 4>the opportunity in the US market.

0:17:36.760 --> 0:17:39.320
<v Speaker 10>I think that that was a very smart decision, you

0:17:39.359 --> 0:17:43.040
<v Speaker 10>know what, to do that because the US DUD is

0:17:43.080 --> 0:17:47.960
<v Speaker 10>the single largest Department of Defense in the world, and

0:17:48.080 --> 0:17:52.320
<v Speaker 10>obviously Europe as a total is about the same size,

0:17:52.359 --> 0:17:55.640
<v Speaker 10>but it's very fragmented into twenty six members state countries.

0:17:56.000 --> 0:18:00.280
<v Speaker 10>So going to the US and entering that single biggest the.

0:18:00.400 --> 0:18:02.800
<v Speaker 11>Market was a must do for US.

0:18:03.119 --> 0:18:05.199
<v Speaker 10>There were a lot of people saying that it's going

0:18:05.280 --> 0:18:08.000
<v Speaker 10>to be hard for a non US company to do well,

0:18:08.080 --> 0:18:11.480
<v Speaker 10>but I think we managed to do so. You know,

0:18:11.520 --> 0:18:13.600
<v Speaker 10>I have I've spent two years of my life in

0:18:13.640 --> 0:18:15.720
<v Speaker 10>the US, one year in high school, one year when

0:18:15.720 --> 0:18:19.280
<v Speaker 10>I was trained as a professional helicopter pilot in Fort Rauca, Alabama.

0:18:19.680 --> 0:18:22.080
<v Speaker 10>So I think I picked a little bit up of

0:18:22.119 --> 0:18:26.240
<v Speaker 10>the way of how America works and what's the life

0:18:26.720 --> 0:18:30.239
<v Speaker 10>over there and how the people do business. And so

0:18:30.280 --> 0:18:33.679
<v Speaker 10>I was very lucky to hire an excellent CEO coming

0:18:33.680 --> 0:18:39.480
<v Speaker 10>from the drone defense industry, and he was setting up

0:18:39.520 --> 0:18:42.720
<v Speaker 10>a Quantum Inc. In More Park and he has been

0:18:42.760 --> 0:18:47.000
<v Speaker 10>doing incredibly well, and so I think you know, it's

0:18:47.040 --> 0:18:50.040
<v Speaker 10>it's not the US or Europe. I think part of

0:18:50.080 --> 0:18:53.320
<v Speaker 10>our mission is also to in these uncertain times of

0:18:54.280 --> 0:18:57.120
<v Speaker 10>what we see at the moment where the US is

0:18:57.200 --> 0:19:02.520
<v Speaker 10>trying to break away from Europe, that economic companies that

0:19:02.640 --> 0:19:06.160
<v Speaker 10>are on the free market, Yeah, act as a glue

0:19:06.200 --> 0:19:09.159
<v Speaker 10>maybe to together us through these times, because you know,

0:19:09.200 --> 0:19:12.479
<v Speaker 10>the US has been always the biggest ally to Europe,

0:19:12.520 --> 0:19:17.359
<v Speaker 10>especially what is coming up tomorrow D Day, and you know,

0:19:17.440 --> 0:19:19.280
<v Speaker 10>we want to pay back a little bit here and

0:19:19.359 --> 0:19:21.199
<v Speaker 10>so for me, it was a natural thing to go

0:19:21.240 --> 0:19:21.800
<v Speaker 10>to the US.

0:19:21.960 --> 0:19:22.280
<v Speaker 5>Yeah.

0:19:22.359 --> 0:19:24.840
<v Speaker 6>Okay, So we are Bloomberg and we are always curious

0:19:24.880 --> 0:19:28.240
<v Speaker 6>about interesting startups and as they are growing. And as

0:19:28.520 --> 0:19:31.560
<v Speaker 6>to mentioned, you are backed by Peter Thiale. You just

0:19:31.680 --> 0:19:33.600
<v Speaker 6>raised about one hundred and one hundred and eighty one

0:19:33.600 --> 0:19:36.600
<v Speaker 6>million dollars a financing round, valuing you at more than

0:19:36.600 --> 0:19:39.720
<v Speaker 6>a billion dollars. So kind of going into that unicorn status.

0:19:40.480 --> 0:19:43.360
<v Speaker 6>When is the IPO if there is one, will.

0:19:43.200 --> 0:19:45.280
<v Speaker 7>Be Europe, will be the United States? What will you

0:19:45.280 --> 0:19:46.240
<v Speaker 7>guys do it?

0:19:46.440 --> 0:19:47.560
<v Speaker 11>It's unclear at the moment.

0:19:47.640 --> 0:19:48.840
<v Speaker 10>Right now, we're doing very well.

0:19:48.840 --> 0:19:49.560
<v Speaker 12>We're probably going.

0:19:49.560 --> 0:19:52.760
<v Speaker 10>To raise one or two more rounds, you know, being

0:19:52.800 --> 0:19:56.240
<v Speaker 10>on the on the capital market also means you're very

0:19:56.240 --> 0:19:59.920
<v Speaker 10>transparent in what you do. And you know, these big

0:20:00.080 --> 0:20:03.400
<v Speaker 10>government contracts we are after there either zero or one

0:20:03.760 --> 0:20:06.119
<v Speaker 10>and you know, we don't want to end up being

0:20:07.080 --> 0:20:13.159
<v Speaker 10>the goal of you know, speculative betting on us or

0:20:13.160 --> 0:20:15.440
<v Speaker 10>against us on Wall Street. So I think we'll take

0:20:15.520 --> 0:20:17.200
<v Speaker 10>like one or two more years, one or two more

0:20:17.200 --> 0:20:21.360
<v Speaker 10>financing rounds, and then probably as we are a German company,

0:20:21.480 --> 0:20:25.880
<v Speaker 10>we could look into doing a European IPO or as

0:20:25.920 --> 0:20:29.880
<v Speaker 10>you said, you know New York Stock Exchange, probably ten

0:20:29.920 --> 0:20:31.879
<v Speaker 10>depends a little bit also on how well we do

0:20:32.280 --> 0:20:35.720
<v Speaker 10>with our US facility. As you said, we have heavily

0:20:35.760 --> 0:20:38.480
<v Speaker 10>invested in one hundred and thirty five thousand square foot

0:20:39.160 --> 0:20:41.520
<v Speaker 10>We need to fill that with business. We expect the

0:20:41.920 --> 0:20:46.840
<v Speaker 10>US government to give us more contracts to pay back

0:20:47.359 --> 0:20:50.200
<v Speaker 10>that we invest so heavily into the US now, and

0:20:50.760 --> 0:20:53.359
<v Speaker 10>then it's an open decision, I would say as of today.

0:20:53.760 --> 0:20:55.639
<v Speaker 6>Well, it's always you know, interesting, we talked so much

0:20:55.680 --> 0:20:58.359
<v Speaker 6>about here. We are in San Francisco, you know, the

0:20:58.359 --> 0:21:02.160
<v Speaker 6>heart of Silicon Valley, you know, nearby innovation that happens

0:21:02.200 --> 0:21:05.040
<v Speaker 6>around the world. You are based in Munich, How does

0:21:05.080 --> 0:21:10.159
<v Speaker 6>that startup environment differ there over Europe, in Munich specifically

0:21:10.240 --> 0:21:13.160
<v Speaker 6>versus maybe elsewhere versus the United States, for example.

0:21:13.520 --> 0:21:13.760
<v Speaker 2>Yeah.

0:21:13.800 --> 0:21:17.800
<v Speaker 10>So you know, having lived in the United States and

0:21:17.920 --> 0:21:22.160
<v Speaker 10>having met a lot of US investors in the last six, eight,

0:21:22.200 --> 0:21:25.600
<v Speaker 10>ten years, you can definitely say that the spirit of

0:21:26.520 --> 0:21:30.639
<v Speaker 10>go big or go home or think big is definitely

0:21:31.119 --> 0:21:36.200
<v Speaker 10>part of Silicon Valley culture, whereas in Germany we have

0:21:36.359 --> 0:21:41.159
<v Speaker 10>excellent engineering, I would say, at very decent price and

0:21:41.480 --> 0:21:44.280
<v Speaker 10>cost of living. So I think there's a there's an

0:21:44.280 --> 0:21:50.120
<v Speaker 10>advantage for both locations to be Obviously, especially in the beginning,

0:21:50.200 --> 0:21:54.399
<v Speaker 10>I was always a little bit celloius looking at the

0:21:54.520 --> 0:22:00.320
<v Speaker 10>amound and the number of companies that are still being

0:22:00.359 --> 0:22:01.280
<v Speaker 10>founded in the US.

0:22:01.320 --> 0:22:01.880
<v Speaker 12>So it's so.

0:22:01.920 --> 0:22:04.680
<v Speaker 10>Much more and bigger than Europe. But I think we're

0:22:04.720 --> 0:22:06.480
<v Speaker 10>catching up. You know, what has happened in the last

0:22:06.520 --> 0:22:09.439
<v Speaker 10>two or three years. It's clear for us now in

0:22:09.480 --> 0:22:12.720
<v Speaker 10>Europe that we are on our own. We need to

0:22:12.800 --> 0:22:15.640
<v Speaker 10>reinvent ourselves, we need to define.

0:22:15.200 --> 0:22:17.719
<v Speaker 12>Who we are, who we want to be in that world,

0:22:17.840 --> 0:22:18.240
<v Speaker 12>you know, and.

0:22:18.560 --> 0:22:21.960
<v Speaker 10>Germany always has been the place of great world leading

0:22:21.960 --> 0:22:24.840
<v Speaker 10>tech companies. I think we have just not had that

0:22:24.880 --> 0:22:27.240
<v Speaker 10>in the last one or two decades, and I think

0:22:27.280 --> 0:22:29.440
<v Speaker 10>it's time to change that again and we are ready

0:22:29.440 --> 0:22:29.880
<v Speaker 10>to do that.

0:22:30.160 --> 0:22:31.760
<v Speaker 4>Hey Floren, before we let you go, I know you're

0:22:31.800 --> 0:22:37.159
<v Speaker 4>focused on these UAVs that are really about reconnaissance, but

0:22:37.320 --> 0:22:39.040
<v Speaker 4>I want to pick your brain a little bit about

0:22:39.640 --> 0:22:42.440
<v Speaker 4>the areas of innovation, especially here in the US, because

0:22:42.440 --> 0:22:45.919
<v Speaker 4>back in March, the US government awarded Boeing the new

0:22:45.960 --> 0:22:48.400
<v Speaker 4>Air Force F forty seven stealth fighter. Yet there's sort

0:22:48.400 --> 0:22:50.359
<v Speaker 4>of a lot of controversy around this because it's still

0:22:50.640 --> 0:22:52.880
<v Speaker 4>going to be crew based, though the President did say

0:22:52.920 --> 0:22:57.120
<v Speaker 4>we'll be able to fly remotely. Should the US right

0:22:57.160 --> 0:23:01.879
<v Speaker 4>now or should countries be investing in any crewed aircraft

0:23:01.920 --> 0:23:05.240
<v Speaker 4>right now? Or is the future one in your view UAV?

0:23:05.920 --> 0:23:09.560
<v Speaker 10>I think the future is unmanned. It's definitely about robotics

0:23:09.640 --> 0:23:13.840
<v Speaker 10>and unmanned systems. The question is how fast will that happen.

0:23:13.880 --> 0:23:16.920
<v Speaker 10>I think the UK has just brought up a new

0:23:16.960 --> 0:23:22.359
<v Speaker 10>defense policy, they call it twenty forty forty, saying twenty

0:23:22.520 --> 0:23:27.119
<v Speaker 10>percent will be or should be assets, classical assets like

0:23:27.160 --> 0:23:30.240
<v Speaker 10>there used to be so man fighter jets, forty percent

0:23:30.480 --> 0:23:36.320
<v Speaker 10>ISR and intelligence, and forty percent unmanned drike strike capability.

0:23:36.440 --> 0:23:40.000
<v Speaker 10>So I think it's it's not either or I think

0:23:40.000 --> 0:23:44.800
<v Speaker 10>it's a combination both, but definitely more than we used

0:23:44.840 --> 0:23:47.800
<v Speaker 10>to see. And you know, I don't know if the

0:23:48.200 --> 0:23:53.639
<v Speaker 10>forty seven is going to be man or unmanned. Probably

0:23:54.200 --> 0:23:57.560
<v Speaker 10>these high value assets will still be manned, but they

0:23:57.600 --> 0:24:01.440
<v Speaker 10>will definitely not fly into into enemy territory. I think

0:24:01.680 --> 0:24:07.760
<v Speaker 10>they have a standoff capability extreme long range radar range

0:24:08.000 --> 0:24:12.600
<v Speaker 10>because they're so super expensive. But let's see, you know,

0:24:13.880 --> 0:24:15.919
<v Speaker 10>it's changing. Maybe in the next war will be not

0:24:16.080 --> 0:24:17.760
<v Speaker 10>fought on drones. Maybe it's in space.

0:24:18.080 --> 0:24:21.760
<v Speaker 4>That's Florian Cybel, co founder and CEO of Quantum Systems.

0:24:21.960 --> 0:24:24.520
<v Speaker 6>You're listening to a special edition of Bloomberg Business Week.

0:24:24.800 --> 0:24:27.480
<v Speaker 6>Coming up more conversations from our trip out west to

0:24:27.520 --> 0:24:30.760
<v Speaker 6>the Bloomberg Tech Summit. I'm Carol Masser with tim Stenoveek.

0:24:31.000 --> 0:24:32.080
<v Speaker 5>This is Bloomberg.

0:24:33.920 --> 0:24:37.800
<v Speaker 2>This is the Bloomberg Business Week Daily Podcast. Listen live

0:24:37.880 --> 0:24:41.280
<v Speaker 2>each weekday starting at two pm Eastern on Applecarplay and

0:24:41.359 --> 0:24:44.040
<v Speaker 2>the Android Auto with the Bloomberg Business app. You can

0:24:44.040 --> 0:24:47.199
<v Speaker 2>also listen live on Amazon Alexa from our flagship New

0:24:47.280 --> 0:24:50.600
<v Speaker 2>York station, Just say Alexa Play Bloomberg eleven.

0:24:50.400 --> 0:24:54.280
<v Speaker 6>Thirty Welcome back to a special edition of Bloomberg Business Week,

0:24:54.640 --> 0:24:56.960
<v Speaker 6>taking a look at some of our favorite conversations from

0:24:57.000 --> 0:24:58.159
<v Speaker 6>the Bloomberg Tech Summit.

0:24:58.720 --> 0:25:01.200
<v Speaker 4>Up next, we hear from r J Scarrange, the CEO

0:25:01.400 --> 0:25:02.000
<v Speaker 4>of Rivian.

0:25:02.359 --> 0:25:03.840
<v Speaker 7>All right, we've got a really great guest. We want

0:25:03.840 --> 0:25:04.240
<v Speaker 7>to get right to.

0:25:04.400 --> 0:25:07.280
<v Speaker 6>Marj Sparrange is with us. He's, of course, head of

0:25:07.320 --> 0:25:10.679
<v Speaker 6>the sixteen billion dollar market cap automaker. We're talking about Rivian.

0:25:10.720 --> 0:25:12.919
<v Speaker 6>We talk about this company all the time with us

0:25:12.960 --> 0:25:15.639
<v Speaker 6>at Bloomberg Tech Summit here in San Francisco, and we

0:25:15.720 --> 0:25:19.880
<v Speaker 6>have Ed Ludlow, a member our team coast of Bloomberg

0:25:19.920 --> 0:25:23.080
<v Speaker 6>Technology who knows this company so well. Hey, one thing

0:25:23.080 --> 0:25:25.400
<v Speaker 6>I want to start with Rja is there's a lot

0:25:25.440 --> 0:25:28.280
<v Speaker 6>going on between Elon and Donald Trump.

0:25:28.320 --> 0:25:31.840
<v Speaker 7>It seems like it's over and it's not going well.

0:25:31.880 --> 0:25:34.520
<v Speaker 6>So I'm just curious have you been able to kind

0:25:34.520 --> 0:25:37.280
<v Speaker 6>of win market share or anything as a result of

0:25:37.359 --> 0:25:42.479
<v Speaker 6>kind of Elon's position at DOGE And I'm just curious

0:25:42.480 --> 0:25:42.840
<v Speaker 6>how it.

0:25:43.000 --> 0:25:47.639
<v Speaker 7>Might play out here. Yeah, I mean, I think I testimony, Yeah, I.

0:25:47.640 --> 0:25:50.000
<v Speaker 13>Think in general, it's the thing has been surprising is

0:25:50.040 --> 0:25:54.679
<v Speaker 13>just how politicize a lot of things have become so

0:25:54.680 --> 0:25:58.560
<v Speaker 13>electric vehicles become politicized. Specific brands within the electric vehicles

0:25:58.560 --> 0:26:01.040
<v Speaker 13>past for politicized. And so what we've tried to do

0:26:01.040 --> 0:26:04.160
<v Speaker 13>as a brand, really really focused on is to focus.

0:26:03.840 --> 0:26:06.160
<v Speaker 12>On what we stand for, the products, the ratch meets.

0:26:06.200 --> 0:26:08.320
<v Speaker 13>And you know, there's a famous Michael Jordan quote which

0:26:08.400 --> 0:26:12.720
<v Speaker 13>is we have Republicans. You know, he'said Republicans and Democrats

0:26:12.720 --> 0:26:13.480
<v Speaker 13>both by Nikes.

0:26:13.800 --> 0:26:15.200
<v Speaker 12>And it's the same thing with Rivians. I'll go to

0:26:15.280 --> 0:26:15.840
<v Speaker 12>Rivian events.

0:26:15.880 --> 0:26:18.360
<v Speaker 13>I was just in New York and yeah, there's it's

0:26:18.359 --> 0:26:22.639
<v Speaker 13>such a beautiful mix of backgrounds, perspectives, cultures that are

0:26:22.760 --> 0:26:25.199
<v Speaker 13>drawn to what we're building as a brand. Right and

0:26:25.240 --> 0:26:27.199
<v Speaker 13>we're about to launch what we call it R two,

0:26:27.240 --> 0:26:29.280
<v Speaker 13>which is a lower price vehicle starts at forty five

0:26:29.320 --> 0:26:33.560
<v Speaker 13>thousand dollars and that product will even you know, broaden

0:26:33.560 --> 0:26:34.480
<v Speaker 13>the aperture even more.

0:26:34.720 --> 0:26:38.040
<v Speaker 14>And so I think asking is if there's net positive

0:26:38.040 --> 0:26:40.600
<v Speaker 14>effect for you from this environment on sales.

0:26:43.080 --> 0:26:44.400
<v Speaker 12>I think that's what she was asking.

0:26:44.840 --> 0:26:48.280
<v Speaker 14>I think you're benefiting from this environment movement?

0:26:48.440 --> 0:26:49.680
<v Speaker 7>Have you benefited from it?

0:26:50.600 --> 0:26:51.960
<v Speaker 13>I think there are a lot of customers who are

0:26:52.000 --> 0:26:53.639
<v Speaker 13>looking for brand that they want to connect with, so

0:26:53.640 --> 0:26:54.760
<v Speaker 13>that we're seeing that for sure.

0:26:55.520 --> 0:26:57.720
<v Speaker 4>Sort of on that thinking about the politics of this

0:26:57.880 --> 0:27:00.000
<v Speaker 4>rare earth, I mean, you and the team have been

0:27:00.119 --> 0:27:02.560
<v Speaker 4>really clear that you've been working to educate the Trump

0:27:02.560 --> 0:27:05.760
<v Speaker 4>administration when it comes to the complexities around processing rare

0:27:05.800 --> 0:27:08.760
<v Speaker 4>earth here in the US. Are you still concerned about

0:27:08.760 --> 0:27:10.320
<v Speaker 4>accessibility to rare earths?

0:27:10.760 --> 0:27:14.080
<v Speaker 13>Well, first, i'd say I appreciate that the administration recognizes

0:27:14.119 --> 0:27:16.480
<v Speaker 13>this is an issue that's important, and I think that

0:27:17.080 --> 0:27:18.639
<v Speaker 13>we've done a lot of work and spent a lot

0:27:18.640 --> 0:27:21.320
<v Speaker 13>of time with the administration on this topic. I think

0:27:21.320 --> 0:27:25.480
<v Speaker 13>this is perhaps one of the biggest topics surrounding, you know,

0:27:25.520 --> 0:27:29.080
<v Speaker 13>the trade tensions with China. It's it's well, it's well

0:27:29.080 --> 0:27:32.760
<v Speaker 13>documented that a vast majority of the world's processing for

0:27:32.840 --> 0:27:36.000
<v Speaker 13>these rareth medals happens in China.

0:27:36.240 --> 0:27:36.840
<v Speaker 12>So this is.

0:27:36.840 --> 0:27:38.720
<v Speaker 13>Something that you know, we're going to continue to be

0:27:38.800 --> 0:27:41.679
<v Speaker 13>very focused on, continue to have concerns about until.

0:27:41.440 --> 0:27:42.640
<v Speaker 12>We start to see it really move.

0:27:42.800 --> 0:27:43.640
<v Speaker 5>What's your backup plan?

0:27:43.880 --> 0:27:44.840
<v Speaker 12>We have many backup plans.

0:27:44.880 --> 0:27:47.000
<v Speaker 4>If you can't get access to these rare eers for

0:27:47.080 --> 0:27:48.960
<v Speaker 4>some reason, you rot an extended period of time, which

0:27:48.960 --> 0:27:51.440
<v Speaker 4>are essential in making ads and batteries.

0:27:51.600 --> 0:27:53.600
<v Speaker 13>What do you do so what we've we've done, we've

0:27:53.600 --> 0:27:56.040
<v Speaker 13>spent time on over the last several months, is to

0:27:56.080 --> 0:28:00.880
<v Speaker 13>build alternative supply chains. But they're not they're not elegant

0:28:01.119 --> 0:28:04.399
<v Speaker 13>because they're not set up for scale, and and a

0:28:04.400 --> 0:28:07.360
<v Speaker 13>lot of people beyond us are also trying to build

0:28:07.400 --> 0:28:10.040
<v Speaker 13>these alternative supply chains. So I think, you know, the

0:28:10.119 --> 0:28:12.879
<v Speaker 13>hope is that in the short to medium term we

0:28:13.000 --> 0:28:15.840
<v Speaker 13>see this open back up. And I think in the

0:28:15.880 --> 0:28:18.440
<v Speaker 13>long term we're probably going to see both investment into

0:28:18.440 --> 0:28:22.000
<v Speaker 13>building earth capacity outside of China and then innovation to

0:28:22.080 --> 0:28:24.359
<v Speaker 13>remove rare earth's from products. You know, so if you

0:28:24.400 --> 0:28:27.000
<v Speaker 13>take in an electric vehicle, the reason this is so

0:28:27.000 --> 0:28:30.520
<v Speaker 13>important is the motors use permanent magnets. Then permanent magnets

0:28:30.560 --> 0:28:34.119
<v Speaker 13>have earth metals, you know, things like dysprosium and all

0:28:34.119 --> 0:28:35.400
<v Speaker 13>those things on the periodic.

0:28:35.080 --> 0:28:37.880
<v Speaker 12>Table that we forget about the yeah, yeah, but.

0:28:38.240 --> 0:28:40.640
<v Speaker 13>Those those earth metals are needed in the magnets. But

0:28:40.760 --> 0:28:44.440
<v Speaker 13>you can create electro magnet to power the rotor. You know,

0:28:44.480 --> 0:28:46.200
<v Speaker 13>the rotors are spinning part of the motor. But then

0:28:46.240 --> 0:28:47.880
<v Speaker 13>you've got to get power to the rotors so that

0:28:47.920 --> 0:28:49.280
<v Speaker 13>you can do it with a brush, you can do

0:28:49.280 --> 0:28:51.120
<v Speaker 13>it with induction, so it's a more.

0:28:51.000 --> 0:28:54.440
<v Speaker 12>Complex motor product, but it does remove the complexity of

0:28:54.480 --> 0:28:56.080
<v Speaker 12>global trade around the area.

0:28:56.000 --> 0:28:57.400
<v Speaker 7>Is a little time away.

0:28:57.880 --> 0:28:58.400
<v Speaker 12>Yeah, it's not.

0:28:58.320 --> 0:29:01.680
<v Speaker 13>Gonna it's not you can't flip your design over overnight.

0:29:01.760 --> 0:29:03.280
<v Speaker 13>But I would say I think a lot of the

0:29:03.280 --> 0:29:07.080
<v Speaker 13>auto industry is going to start finding innovative ways that

0:29:07.160 --> 0:29:09.960
<v Speaker 13>are perhaps maybe a little more expensive, that reduced to

0:29:10.000 --> 0:29:10.600
<v Speaker 13>rely on somewhere.

0:29:10.840 --> 0:29:12.320
<v Speaker 14>People wonder how nimble you are there, Like, do you

0:29:12.360 --> 0:29:15.440
<v Speaker 14>remember when we first met seven years ago with respect

0:29:15.480 --> 0:29:18.640
<v Speaker 14>your suppliers really wouldn't engage with you because of scale.

0:29:19.000 --> 0:29:22.160
<v Speaker 14>So if you have had to pivot a little bit

0:29:22.200 --> 0:29:25.480
<v Speaker 14>because of policy, particularly for planning for our two, have

0:29:25.640 --> 0:29:28.240
<v Speaker 14>you been able to a get your spires to listen

0:29:28.280 --> 0:29:30.800
<v Speaker 14>to you and be effect to change.

0:29:31.640 --> 0:29:32.720
<v Speaker 12>Yeah, we've talked about the slide.

0:29:32.720 --> 0:29:36.000
<v Speaker 13>I mean, our relationship with suppliers and leverage we have

0:29:36.080 --> 0:29:38.760
<v Speaker 13>with those supliers is so much stronger today with our

0:29:38.800 --> 0:29:41.280
<v Speaker 13>two and what's to come than what we had, you know,

0:29:41.320 --> 0:29:44.800
<v Speaker 13>in twenty nineteen or twenty twenty, even twenty eighteen. But

0:29:45.200 --> 0:29:49.160
<v Speaker 13>I'd say the thing that's really helpful for us in

0:29:49.200 --> 0:29:52.240
<v Speaker 13>our toos, it's not as if this is a surprise

0:29:52.360 --> 0:29:55.280
<v Speaker 13>we saw you know, if you're going into summer of

0:29:55.360 --> 0:29:57.640
<v Speaker 13>last year, we saw some of these tensions already rising

0:29:57.680 --> 0:29:59.840
<v Speaker 13>between the United States and China, and that was.

0:30:00.040 --> 0:30:01.840
<v Speaker 12>As we were planning for and sourcing are two.

0:30:02.520 --> 0:30:06.000
<v Speaker 13>So we contemplated and in many ways anticipated a lot

0:30:06.040 --> 0:30:09.560
<v Speaker 13>of these situations we're now dealing with in terms of tariffs,

0:30:09.600 --> 0:30:12.960
<v Speaker 13>in terms of trade restrictions happening. So in the medium

0:30:12.960 --> 0:30:16.000
<v Speaker 13>to long term, it's we're pretty well covered. In the

0:30:16.160 --> 0:30:19.120
<v Speaker 13>short to medium term, you know, things get shut off.

0:30:19.440 --> 0:30:21.480
<v Speaker 13>That's really challenging. And so that's where I think the

0:30:21.560 --> 0:30:25.280
<v Speaker 13>Earth challenge is that if this this happens, we're off.

0:30:25.520 --> 0:30:27.240
<v Speaker 13>It just creates a lot of pressure on a very

0:30:27.280 --> 0:30:29.360
<v Speaker 13>thin non China supply chain.

0:30:29.840 --> 0:30:31.720
<v Speaker 14>I still think there's a lot of interest in Rivian.

0:30:31.920 --> 0:30:33.600
<v Speaker 14>What I hear is there's also a lot of interest

0:30:33.640 --> 0:30:37.240
<v Speaker 14>in also your your micro mobility spin off. Would you

0:30:37.320 --> 0:30:40.120
<v Speaker 14>consider kind of de risking yourselves a little bit by

0:30:40.160 --> 0:30:43.440
<v Speaker 14>allowing outside investors to write you a check into that

0:30:43.520 --> 0:30:47.080
<v Speaker 14>venture and then get you some capital, or de risk

0:30:47.120 --> 0:30:48.600
<v Speaker 14>your own balance sheet in that respect.

0:30:49.280 --> 0:30:52.760
<v Speaker 13>So we spun this micromobility portion of Rivian out, and

0:30:52.800 --> 0:30:55.480
<v Speaker 13>we actually raised outside capitals. We brought we brought one

0:30:55.560 --> 0:30:57.520
<v Speaker 13>hundred and five million dollars in at the start of the.

0:30:57.560 --> 0:31:00.280
<v Speaker 12>Year, which is from a clip, which is from a clip.

0:31:00.080 --> 0:31:03.160
<v Speaker 13>Exactly right, and so it's now independently financed from Riview

0:31:03.400 --> 0:31:06.160
<v Speaker 13>and it's you know, it's a really exciting set of products.

0:31:06.160 --> 0:31:07.720
<v Speaker 12>We're going to show those products in the fall.

0:31:07.760 --> 0:31:09.800
<v Speaker 14>But with the venture to look at even further outside

0:31:09.840 --> 0:31:11.320
<v Speaker 14>happit til to get go in a little bit.

0:31:11.440 --> 0:31:14.120
<v Speaker 13>We could, yeah, we could, but but we're really happy

0:31:14.120 --> 0:31:17.000
<v Speaker 13>with where it is. It's it's it's exciting to build

0:31:17.040 --> 0:31:19.880
<v Speaker 13>a new business with the strength of all the Rivian

0:31:19.920 --> 0:31:21.000
<v Speaker 13>technologies is starting right.

0:31:21.400 --> 0:31:23.680
<v Speaker 6>That's our Ja Scarringe, Rivian CEO.

0:31:24.160 --> 0:31:27.120
<v Speaker 4>Coming up next, we hear from Ahmed al Dahl, VP

0:31:27.240 --> 0:31:28.880
<v Speaker 4>of Generative AI at Meta.

0:31:29.120 --> 0:31:30.600
<v Speaker 6>I want to just kind of set this up because

0:31:30.600 --> 0:31:35.760
<v Speaker 6>Bloomberg News recently reporting artificial intelligence coding startup Replet is

0:31:35.800 --> 0:31:36.440
<v Speaker 6>in talks.

0:31:36.520 --> 0:31:38.800
<v Speaker 7>It was in talks, maybe still in talks.

0:31:38.840 --> 0:31:41.600
<v Speaker 6>We'll find out with investors for a new funding round

0:31:41.640 --> 0:31:44.800
<v Speaker 6>that would almost triple its valuation too, about three billion dollars.

0:31:44.800 --> 0:31:46.280
<v Speaker 7>That was according to people.

0:31:46.000 --> 0:31:48.880
<v Speaker 6>Familiar with the matter, and so that was really underscoring

0:31:49.000 --> 0:31:53.560
<v Speaker 6>Silicon Valley investors appetite for companies using AI for software development.

0:31:53.600 --> 0:31:56.040
<v Speaker 6>I do feel like, Tim, that's the phase we've moved into.

0:31:56.160 --> 0:31:58.280
<v Speaker 4>Well, let's ask you, and we've got Amjod Messad here,

0:31:58.400 --> 0:32:01.160
<v Speaker 4>The thoughder and CEO of RUG joins us here at

0:32:01.160 --> 0:32:04.360
<v Speaker 4>the Bloomberg Technology summ At twenty twenty five in San Francisco.

0:32:05.320 --> 0:32:07.960
<v Speaker 4>Comment on the fundraising and where you are in that.

0:32:08.040 --> 0:32:09.080
<v Speaker 4>Can you confirm the report?

0:32:09.560 --> 0:32:13.960
<v Speaker 15>We're always in talks with investors. We've grown a lot,

0:32:14.400 --> 0:32:15.120
<v Speaker 15>We've we've.

0:32:14.920 --> 0:32:18.880
<v Speaker 3>Grown just this year over ten x Uh.

0:32:19.960 --> 0:32:21.680
<v Speaker 7>You're talking about top like wow.

0:32:21.560 --> 0:32:24.120
<v Speaker 4>So you're always in talks until you're not. And you

0:32:24.160 --> 0:32:26.360
<v Speaker 4>go public as a company, you're always in talks until

0:32:26.360 --> 0:32:29.720
<v Speaker 4>you're not. Yeah, are you currently raising this route?

0:32:29.920 --> 0:32:31.440
<v Speaker 3>Things are moving winny fast. Okay.

0:32:31.640 --> 0:32:34.080
<v Speaker 15>So even when you're in talks and then you grow

0:32:34.200 --> 0:32:35.680
<v Speaker 15>that much, you know, it's like.

0:32:36.720 --> 0:32:39.080
<v Speaker 6>I'm talk to us about that growth, Like, who is

0:32:39.120 --> 0:32:41.960
<v Speaker 6>it that's tapping into what you guys are doing specifically?

0:32:42.040 --> 0:32:46.520
<v Speaker 15>Yeah, so you know, it's all sorts of people so

0:32:47.200 --> 0:32:50.560
<v Speaker 15>replet as opposed to say, you know, cursor windsor for

0:32:50.760 --> 0:32:52.120
<v Speaker 15>claud code or other things.

0:32:52.760 --> 0:32:55.360
<v Speaker 3>We're trying to make it so that anyone is a programmer.

0:32:55.720 --> 0:32:57.040
<v Speaker 8>So you you.

0:32:56.760 --> 0:32:58.840
<v Speaker 15>You know, I could encourage anyone of the audience to

0:32:58.880 --> 0:32:59.840
<v Speaker 15>go to the app store on.

0:32:59.800 --> 0:33:02.000
<v Speaker 3>Their start making software.

0:33:02.800 --> 0:33:07.880
<v Speaker 15>So the kind of users that we have AD companies

0:33:08.280 --> 0:33:11.400
<v Speaker 15>tend to not be the software engineer. We do have engineers,

0:33:11.720 --> 0:33:15.000
<v Speaker 15>but for example, product managers for the first time.

0:33:15.280 --> 0:33:18.520
<v Speaker 3>Can go from an idea to a product without even

0:33:18.560 --> 0:33:19.360
<v Speaker 3>talking to an engineer.

0:33:19.400 --> 0:33:20.200
<v Speaker 7>How does that happen?

0:33:20.880 --> 0:33:24.120
<v Speaker 15>So we created a software development agent. It was the

0:33:24.160 --> 0:33:26.520
<v Speaker 15>first software development agent on the market. Now we got

0:33:26.560 --> 0:33:32.120
<v Speaker 15>a lot of copycats, but basically, it takes the user command,

0:33:33.160 --> 0:33:36.600
<v Speaker 15>breaks down the problem into different tasks, starts coding their

0:33:36.640 --> 0:33:41.200
<v Speaker 15>different files, runs the program, tests, the program takes the screenshot,

0:33:41.280 --> 0:33:43.080
<v Speaker 15>looks at it, and then talks to the user, Hey

0:33:43.440 --> 0:33:45.920
<v Speaker 15>did I build what you told me to build?

0:33:46.400 --> 0:33:47.920
<v Speaker 3>And then there's a conversation with the user.

0:33:48.000 --> 0:33:50.360
<v Speaker 4>I just did a big piece on due Lingo, and

0:33:50.600 --> 0:33:52.480
<v Speaker 4>so this is fresh on my mind.

0:33:52.560 --> 0:33:54.080
<v Speaker 3>They're a customer. They are a customers.

0:33:54.120 --> 0:33:57.000
<v Speaker 4>So that's interesting because what I read was they, you know,

0:33:57.000 --> 0:34:00.920
<v Speaker 4>they're known for languages, but they had chess. What is

0:34:00.960 --> 0:34:03.200
<v Speaker 4>a new area where they're branching out into and you

0:34:03.200 --> 0:34:04.120
<v Speaker 4>can learn how to do.

0:34:04.120 --> 0:34:05.320
<v Speaker 5>Chess on the platform.

0:34:05.560 --> 0:34:08.640
<v Speaker 4>Apparently it was created by a designer and a product manager.

0:34:08.640 --> 0:34:11.239
<v Speaker 16>They used a program called cursor. Would that be a

0:34:11.280 --> 0:34:15.600
<v Speaker 16>competitor to you? Uh, that would work in tandem. They

0:34:15.640 --> 0:34:17.759
<v Speaker 16>work in tandem. We compete on the margins, but they

0:34:17.760 --> 0:34:19.920
<v Speaker 16>work intends. A lot of time people start with replet,

0:34:19.920 --> 0:34:23.600
<v Speaker 16>create a prototype, okay, ticket a cursor, they iterate on it.

0:34:24.000 --> 0:34:26.719
<v Speaker 4>So if product managers and designers are doing this, where

0:34:26.760 --> 0:34:28.120
<v Speaker 4>does that leave software engineers.

0:34:28.360 --> 0:34:31.120
<v Speaker 15>I think software engineers are gonna be like a layer

0:34:31.080 --> 0:34:35.120
<v Speaker 15>of deeper. So you always need the infrastructure engineer, you

0:34:35.160 --> 0:34:39.239
<v Speaker 15>always need the platform engineer, the AI engineer, and so

0:34:39.880 --> 0:34:43.360
<v Speaker 15>the specialized low level engineers job is safe.

0:34:43.920 --> 0:34:46.160
<v Speaker 3>But the fuel creating products anyone can make it now.

0:34:46.400 --> 0:34:49.120
<v Speaker 4>But their jobs, these specialized folks might be safe. But

0:34:49.200 --> 0:34:50.759
<v Speaker 4>maybe you don't need as many of them as you do.

0:34:50.840 --> 0:34:54.040
<v Speaker 3>Now, that's that's safe to assume.

0:34:54.200 --> 0:34:57.279
<v Speaker 15>But net net, there's gonna be a lot more developers.

0:34:57.840 --> 0:35:00.480
<v Speaker 15>They might not have gone to computer side in school,

0:35:01.200 --> 0:35:03.000
<v Speaker 15>but day to day they're making software.

0:35:03.160 --> 0:35:03.440
<v Speaker 12>Wow.

0:35:04.000 --> 0:35:06.120
<v Speaker 6>But that's a big shift because I just feel like

0:35:06.840 --> 0:35:09.200
<v Speaker 6>the story that we have said for many years now

0:35:09.360 --> 0:35:13.680
<v Speaker 6>is software engineers, coders, you guys are safe, right because

0:35:13.760 --> 0:35:17.640
<v Speaker 6>every company is a technology company. And every company needs

0:35:17.920 --> 0:35:21.400
<v Speaker 6>coders and figuring out how to do systems. You're saying, no,

0:35:21.560 --> 0:35:23.840
<v Speaker 6>that's not the case anymore. Well, let me put it,

0:35:23.840 --> 0:35:25.440
<v Speaker 6>because everybody can be a coder.

0:35:25.800 --> 0:35:26.719
<v Speaker 3>Let me put it this way.

0:35:27.080 --> 0:35:31.680
<v Speaker 15>Every company in the world even today is limited by

0:35:31.719 --> 0:35:36.000
<v Speaker 15>how many software engineering resources they have. That is one

0:35:36.040 --> 0:35:40.120
<v Speaker 15>of the limiting factor to growth in our economy in general, right,

0:35:40.160 --> 0:35:42.120
<v Speaker 15>and so we're basically removing.

0:35:41.719 --> 0:35:42.560
<v Speaker 3>That limiting factor.

0:35:42.640 --> 0:35:44.920
<v Speaker 15>And I think that's gonna that's going to create a

0:35:44.960 --> 0:35:47.799
<v Speaker 15>lot better products and services. Companies like dual Lingo can

0:35:47.840 --> 0:35:50.720
<v Speaker 15>go from language to chess, and a lot.

0:35:50.600 --> 0:35:51.920
<v Speaker 3>New startups are going to be created.

0:35:52.080 --> 0:35:54.840
<v Speaker 15>Icy startups are all platform every day, and so the

0:35:55.200 --> 0:35:56.840
<v Speaker 15>economy is just going to be a lot more dynamic.

0:35:56.920 --> 0:35:59.480
<v Speaker 4>Are you doing the inference on your platform? Are you

0:35:59.520 --> 0:36:01.880
<v Speaker 4>doing it for it's on your platform? We or do

0:36:01.960 --> 0:36:04.239
<v Speaker 4>you use do you have to contract that out to

0:36:04.320 --> 0:36:05.080
<v Speaker 4>a third party?

0:36:05.520 --> 0:36:07.560
<v Speaker 3>So we uh so, meaning what kind of models?

0:36:07.560 --> 0:36:10.600
<v Speaker 15>So we so we use a collection of models, some

0:36:10.640 --> 0:36:14.560
<v Speaker 15>of them we trained and hosted, but we rely a

0:36:14.600 --> 0:36:16.600
<v Speaker 15>lot of it on a topic. We rely on on

0:36:16.640 --> 0:36:20.759
<v Speaker 15>some Google models like Gemini, Flash and clod Code. Uh

0:36:21.520 --> 0:36:25.200
<v Speaker 15>you know, these are what's what's happening in the l

0:36:25.400 --> 0:36:28.319
<v Speaker 15>M space is that there's so many tools out there,

0:36:28.360 --> 0:36:31.680
<v Speaker 15>open source, tool source whatever. As an application layer company,

0:36:32.280 --> 0:36:35.120
<v Speaker 15>our job is created the best product possible, whether we

0:36:35.200 --> 0:36:36.719
<v Speaker 15>have whether we pick you know.

0:36:36.680 --> 0:36:40.080
<v Speaker 3>The model off the shelf or chaine our model. It's engineering.

0:36:40.480 --> 0:36:42.759
<v Speaker 3>It's not AI research, it's engineering. I'm John.

0:36:42.800 --> 0:36:46.040
<v Speaker 6>What I am hearing is that what your tool would

0:36:46.040 --> 0:36:49.399
<v Speaker 6>be really incredible for is for smaller sized companies who

0:36:49.440 --> 0:36:54.279
<v Speaker 6>maybe can afford to like hire software engineers. Like I

0:36:54.320 --> 0:36:56.960
<v Speaker 6>have an idea, tell me, like, where is your business

0:36:57.640 --> 0:37:00.680
<v Speaker 6>the growth the most? Is it small size? Its size?

0:37:00.880 --> 0:37:03.000
<v Speaker 6>Large sized companies? Give us an idea and just got

0:37:03.040 --> 0:37:04.239
<v Speaker 6>about forty five seconds.

0:37:04.320 --> 0:37:08.640
<v Speaker 15>So you're right, small sizes where we're seeing the most growth.

0:37:09.200 --> 0:37:11.759
<v Speaker 15>But in terms of contract value, it tends to be

0:37:11.960 --> 0:37:15.719
<v Speaker 15>mid market and enterprise. We have Fortune five hundred companies

0:37:16.080 --> 0:37:20.000
<v Speaker 15>and the way they use it is to unblock. Everyone

0:37:20.040 --> 0:37:23.560
<v Speaker 15>in the enterprise has ideas to improve the business. But

0:37:23.640 --> 0:37:25.799
<v Speaker 15>there's a limited number of engineers, and so these people

0:37:25.840 --> 0:37:27.960
<v Speaker 15>are seeking the tools. Yeah, and it's starting to be

0:37:28.040 --> 0:37:29.480
<v Speaker 15>productive with them and repletus them.

0:37:29.600 --> 0:37:30.600
<v Speaker 3>There's one of the big tools.

0:37:30.760 --> 0:37:33.839
<v Speaker 4>Yeah, that's Ahmed al Dahl, vice president of generative AI

0:37:34.080 --> 0:37:35.279
<v Speaker 4>at Meta that does it.

0:37:35.320 --> 0:37:37.960
<v Speaker 6>For this hour, Bloomberg Business Week Next hour will bring

0:37:37.960 --> 0:37:40.640
<v Speaker 6>you even more from the Bloomberg Tech Summit out in

0:37:40.680 --> 0:37:43.960
<v Speaker 6>San Francisco this past week. I'm Carol Masser with Tim Stenebec.

0:37:49.080 --> 0:37:52.879
<v Speaker 2>You are listening to the Bloomberg Business Weekdaily Podcast. Catch

0:37:52.960 --> 0:37:56.200
<v Speaker 2>us live weekday afternoons from two to five pm Eastern.

0:37:56.360 --> 0:37:59.400
<v Speaker 2>Listen on Apple CarPlay and Android Auto with the Bloomberg

0:37:59.440 --> 0:38:02.759
<v Speaker 2>Business or watch us live on YouTube.

0:38:03.560 --> 0:38:06.640
<v Speaker 6>Welcome back to a special edition of Bloomberg BusinessWeek, taking

0:38:06.680 --> 0:38:08.800
<v Speaker 6>a look at some of our favorite conversations from the

0:38:08.800 --> 0:38:11.480
<v Speaker 6>Bloomberg Tech Summit. First up this hour, we spoke with

0:38:11.520 --> 0:38:14.680
<v Speaker 6>Windows Snyder. She's the CEO of Thistle Technologies.

0:38:15.040 --> 0:38:18.320
<v Speaker 4>There's this common refrain that if it's connected to the internet, Carol,

0:38:18.719 --> 0:38:19.480
<v Speaker 4>it can be hacked.

0:38:19.640 --> 0:38:21.680
<v Speaker 6>It feels like a really smart thing to be like

0:38:21.760 --> 0:38:23.280
<v Speaker 6>kind of keep in mind, like, Okay.

0:38:23.120 --> 0:38:26.240
<v Speaker 4>We know computers and like our email accounts can be hacked,

0:38:26.239 --> 0:38:29.440
<v Speaker 4>but what about baby monitors, doorbell cameras, routers, and yes,

0:38:30.000 --> 0:38:31.440
<v Speaker 4>even the humble washing machine.

0:38:31.520 --> 0:38:33.880
<v Speaker 6>Listen, if it ain't work in we're gonna have some problems.

0:38:33.920 --> 0:38:36.840
<v Speaker 6>This is where Windows Snyder comes in. She's the CEO

0:38:36.920 --> 0:38:41.480
<v Speaker 6>over at Thistle Technologies. They specialize in security infrastructure for devices.

0:38:41.760 --> 0:38:44.080
<v Speaker 7>No Window has led teams building protections into.

0:38:43.920 --> 0:38:48.440
<v Speaker 6>Phones, laptops, desktops, and web browsers. She's done this at companies. Yeh,

0:38:48.480 --> 0:38:50.320
<v Speaker 6>you're going to know who they are. We're talking about Apple,

0:38:50.360 --> 0:38:53.760
<v Speaker 6>We're talking about Intel. We're also talking about Microsoft and Mozilla.

0:38:54.000 --> 0:38:56.480
<v Speaker 4>She's featured in Business Weeks one to watch in technology.

0:38:56.480 --> 0:38:58.279
<v Speaker 4>It's a guide for the people you'll be hearing more

0:38:58.320 --> 0:39:00.560
<v Speaker 4>about in the near future. You joined this year at

0:39:00.560 --> 0:39:04.160
<v Speaker 4>Bloomberg Tech Summit in San Francisco. Help me understand how

0:39:04.160 --> 0:39:08.360
<v Speaker 4>the solution works because you're selling your solution to the

0:39:08.440 --> 0:39:10.359
<v Speaker 4>companies that then consumers buy from.

0:39:10.440 --> 0:39:12.640
<v Speaker 5>So your B to B correct, we are your B

0:39:12.719 --> 0:39:12.920
<v Speaker 5>to B.

0:39:13.120 --> 0:39:16.360
<v Speaker 4>So what is the infrastructure that you create that protects

0:39:16.400 --> 0:39:18.360
<v Speaker 4>my doorbell from being.

0:39:18.160 --> 0:39:22.400
<v Speaker 17>A sure So we build the capabilities that the device

0:39:22.440 --> 0:39:25.120
<v Speaker 17>developers can incorporate into their products that allow them to

0:39:25.160 --> 0:39:28.920
<v Speaker 17>reduce the attack surface of these devices, which means the

0:39:29.120 --> 0:39:32.560
<v Speaker 17>number of entry points into the system or the areas

0:39:32.560 --> 0:39:35.160
<v Speaker 17>that are most vulnerable, like the device is most vulnerable

0:39:35.239 --> 0:39:38.640
<v Speaker 17>during update and update is one of those things that's

0:39:38.760 --> 0:39:41.160
<v Speaker 17>really hard to get right and really easy to get wrong. Yeah,

0:39:41.280 --> 0:39:45.080
<v Speaker 17>so because it gets implemented differently in every different environment.

0:39:45.280 --> 0:39:48.200
<v Speaker 17>That's one of the areas that we target as an

0:39:48.239 --> 0:39:52.680
<v Speaker 17>area to provide a lot of security resilience. Additionally, validating

0:39:52.800 --> 0:39:55.680
<v Speaker 17>the update is coming from where you expect it tom

0:39:55.880 --> 0:40:00.040
<v Speaker 17>by evaluating a cryptographic signature on it that could be

0:40:00.440 --> 0:40:02.560
<v Speaker 17>validated by a key that's stored in hardware.

0:40:02.680 --> 0:40:05.240
<v Speaker 6>Wait a minute, I don't even think about that being

0:40:05.560 --> 0:40:07.520
<v Speaker 6>like a like a cyber attack, but I guess that

0:40:07.520 --> 0:40:09.759
<v Speaker 6>would be a great place for people to do it.

0:40:09.800 --> 0:40:10.920
<v Speaker 7>How often does that happen?

0:40:11.640 --> 0:40:14.319
<v Speaker 17>Well, the FABI recently released a report that showed that

0:40:14.560 --> 0:40:19.160
<v Speaker 17>the organized crime was using vulnerable routers home routers right

0:40:19.239 --> 0:40:25.120
<v Speaker 17>to string together bought networks that were basically these devices

0:40:25.160 --> 0:40:28.920
<v Speaker 17>never get updated, so they're going to persist for you know, indefinitely.

0:40:29.200 --> 0:40:31.360
<v Speaker 4>When I talk to people like you, I selfishly always

0:40:31.360 --> 0:40:35.240
<v Speaker 4>ask about your own security hygiene and like what products

0:40:35.239 --> 0:40:37.840
<v Speaker 4>that you actually personally incorporated into your life and what

0:40:37.920 --> 0:40:38.399
<v Speaker 4>you were boid.

0:40:38.680 --> 0:40:41.960
<v Speaker 17>So for the home user, it's incredibly difficult because a

0:40:42.000 --> 0:40:44.360
<v Speaker 17>lot of these devices, you're just kind of it's a

0:40:44.360 --> 0:40:45.879
<v Speaker 17>black box. You just get what you get, and there's

0:40:45.920 --> 0:40:48.399
<v Speaker 17>not much you can do to to mitigrate and risk

0:40:48.400 --> 0:40:51.319
<v Speaker 17>from those devices. At the enterprise, you've got a little

0:40:51.320 --> 0:40:54.480
<v Speaker 17>bit more of an opportunity. But as a former CISO myself,

0:40:54.520 --> 0:40:58.880
<v Speaker 17>they're difficult to manage. They are uninspectable. If there's an

0:40:58.960 --> 0:41:01.920
<v Speaker 17>update available, it's very often very difficult to get it deployed.

0:41:02.680 --> 0:41:03.680
<v Speaker 7>It's actually a struggle.

0:41:03.840 --> 0:41:05.920
<v Speaker 4>What would you say to somebody a consumer? He says, Okay, well,

0:41:06.040 --> 0:41:09.560
<v Speaker 4>ring doorbell, it's owned by Amazon. They're a legit company.

0:41:10.200 --> 0:41:12.880
<v Speaker 4>Hero Is I think owned by Amazon also, it's legit.

0:41:13.360 --> 0:41:16.920
<v Speaker 4>Amazon will take the necessary precautions to protect me.

0:41:17.080 --> 0:41:17.920
<v Speaker 5>What would you say to that.

0:41:18.120 --> 0:41:22.640
<v Speaker 17>Amazon has a very large, very good security team. That's fantastic.

0:41:22.640 --> 0:41:25.480
<v Speaker 17>But there's so many devices out there. I mean, I'm

0:41:25.520 --> 0:41:27.560
<v Speaker 17>wearing like two just from like here down, I've got

0:41:27.600 --> 0:41:28.279
<v Speaker 17>two devices over it.

0:41:28.400 --> 0:41:30.120
<v Speaker 4>So you've got an Aura ring for our listeners in

0:41:30.160 --> 0:41:31.960
<v Speaker 4>an Apple Watch exactly.

0:41:32.280 --> 0:41:35.160
<v Speaker 17>But in your home you might have a smart TV,

0:41:35.840 --> 0:41:38.799
<v Speaker 17>you might have a baby monitor, you might have an

0:41:38.880 --> 0:41:40.319
<v Speaker 17>even smart op And there's so many there's so many

0:41:40.320 --> 0:41:42.799
<v Speaker 17>different kinds of devices. Your printer, they might not all

0:41:42.840 --> 0:41:47.319
<v Speaker 17>get the same level of security rigor that your ring

0:41:47.360 --> 0:41:49.600
<v Speaker 17>doorbell might. That's a that's a that's a good device.

0:41:49.600 --> 0:41:50.120
<v Speaker 5>That's I would.

0:41:50.200 --> 0:41:53.239
<v Speaker 4>I would welcome a hacker to make my printer work better, That's.

0:41:53.120 --> 0:41:53.520
<v Speaker 1>What I would.

0:41:54.360 --> 0:41:56.640
<v Speaker 6>So you're talking about hacks, right, Like why do I

0:41:56.640 --> 0:41:57.480
<v Speaker 6>care about my printer?

0:41:57.920 --> 0:42:00.279
<v Speaker 5>You know, like what is it? Is there already mess stop?

0:42:01.600 --> 0:42:03.800
<v Speaker 6>But is it a case that it doesn't work or

0:42:03.880 --> 0:42:06.359
<v Speaker 6>are you saying that there's a security thing we need

0:42:06.400 --> 0:42:07.360
<v Speaker 6>to be concerned about.

0:42:07.440 --> 0:42:10.120
<v Speaker 17>Well, the printer in the enterprise or at home is

0:42:10.160 --> 0:42:12.000
<v Speaker 17>the place where we take all of our most sensitive

0:42:12.120 --> 0:42:15.120
<v Speaker 17>documents and store them on paper. Right, So if you're

0:42:15.200 --> 0:42:16.680
<v Speaker 17>an attacker and you're sitting on that printer, you have

0:42:16.719 --> 0:42:19.080
<v Speaker 17>access that information. But even that is not necessarily what

0:42:19.120 --> 0:42:21.560
<v Speaker 17>they're doing on your printer. If you compromise the printer,

0:42:21.800 --> 0:42:23.759
<v Speaker 17>you're using it to launch an attack against a more

0:42:23.800 --> 0:42:26.120
<v Speaker 17>sensitive system. And now since you're on the network, you've

0:42:26.120 --> 0:42:28.440
<v Speaker 17>got a more privileged position, so it's.

0:42:28.280 --> 0:42:29.920
<v Speaker 5>The weakest link essentially exactly.

0:42:30.040 --> 0:42:31.760
<v Speaker 4>So I take back what I said about a hacker

0:42:31.800 --> 0:42:32.520
<v Speaker 4>going into my printer.

0:42:33.239 --> 0:42:34.560
<v Speaker 5>I do not welcome that, all right.

0:42:34.600 --> 0:42:35.719
<v Speaker 6>So I helped me out here because I have a

0:42:35.760 --> 0:42:40.080
<v Speaker 6>husband who loves technology, and so our lights are I

0:42:40.080 --> 0:42:44.319
<v Speaker 6>don't know, heating system, like music, everything is controlled by

0:42:44.360 --> 0:42:46.240
<v Speaker 6>something and it kind of drives me crazy.

0:42:46.520 --> 0:42:49.239
<v Speaker 7>But I mean, does that make a home more vulnerable?

0:42:49.560 --> 0:42:51.920
<v Speaker 6>Or like, how do you I don't know, like what

0:42:52.040 --> 0:42:55.600
<v Speaker 6>things shouldn't we automate or use technology?

0:42:56.000 --> 0:42:57.799
<v Speaker 17>So I can tell you to go set up a

0:42:57.840 --> 0:43:01.160
<v Speaker 17>device network and keep it separate from the network that

0:43:01.200 --> 0:43:03.919
<v Speaker 17>your laptops use, but that's not really practical advice because

0:43:03.920 --> 0:43:07.120
<v Speaker 17>most consumers can't set that up. The real emphasis should

0:43:07.120 --> 0:43:09.600
<v Speaker 17>be on the folks that build those So, for example,

0:43:09.680 --> 0:43:13.840
<v Speaker 17>in Europe, the Cyber Resiliency Act is forcing these device

0:43:13.880 --> 0:43:16.520
<v Speaker 17>makers to make sure that they're doing security updates, make

0:43:16.520 --> 0:43:18.560
<v Speaker 17>sure that they are building security resilience.

0:43:18.160 --> 0:43:18.760
<v Speaker 7>In from the start.

0:43:18.960 --> 0:43:20.360
<v Speaker 5>Should we have that here in the US.

0:43:20.600 --> 0:43:23.399
<v Speaker 17>We definitely need to make sure that device makers are

0:43:23.400 --> 0:43:24.279
<v Speaker 17>doing the work.

0:43:24.280 --> 0:43:27.520
<v Speaker 4>That's Windows Snyder, CEO of Thistle Technologies.

0:43:28.080 --> 0:43:30.960
<v Speaker 6>Up next, we'll hear from Jennifer Downa. She is founder

0:43:31.000 --> 0:43:35.239
<v Speaker 6>of the Innovative Genomics Institute and Nobel Laureate in Chemistry.

0:43:35.800 --> 0:43:37.279
<v Speaker 4>I want to get an update on where we are

0:43:37.320 --> 0:43:40.240
<v Speaker 4>in your view with gene editing technology. I think everybody

0:43:40.320 --> 0:43:42.320
<v Speaker 4>saw the story the ten month old baby who received

0:43:42.320 --> 0:43:45.680
<v Speaker 4>the world's first personalized gene editing treatment was released from

0:43:45.719 --> 0:43:48.160
<v Speaker 4>the hospital. I mean, this is really exciting stuff. It

0:43:48.160 --> 0:43:52.120
<v Speaker 4>looks like chrisper gene editing tech saved his life. When

0:43:52.160 --> 0:43:56.160
<v Speaker 4>does this treatment not make headlines? When will more patients

0:43:56.160 --> 0:43:56.520
<v Speaker 4>get it?

0:43:57.800 --> 0:43:59.040
<v Speaker 7>We have to scale the approach.

0:43:59.120 --> 0:44:01.840
<v Speaker 18>I think what's very citing about baby kJ beyond the

0:44:02.000 --> 0:44:05.880
<v Speaker 18>immediate impact on him and his family, is the opportunity

0:44:06.040 --> 0:44:09.640
<v Speaker 18>to make this technology available to many more people. And

0:44:09.680 --> 0:44:12.360
<v Speaker 18>that's exactly where our institute is focused.

0:44:12.719 --> 0:44:15.880
<v Speaker 6>Jennifer, is this the holy grail in terms of fixing

0:44:15.920 --> 0:44:17.000
<v Speaker 6>all that ails us?

0:44:17.200 --> 0:44:17.279
<v Speaker 13>Like?

0:44:17.360 --> 0:44:19.200
<v Speaker 6>Do you see it going to a point where we're

0:44:19.200 --> 0:44:22.600
<v Speaker 6>born and we're scanned, and we see here's the problems,

0:44:22.600 --> 0:44:24.680
<v Speaker 6>here's the problems, and we do the edit at an

0:44:24.719 --> 0:44:27.279
<v Speaker 6>early basis, Like, is.

0:44:27.239 --> 0:44:28.160
<v Speaker 7>That where this comes?

0:44:28.560 --> 0:44:29.600
<v Speaker 19>Well maybe in the future.

0:44:29.800 --> 0:44:32.440
<v Speaker 18>I think at the moment, I think what we're looking

0:44:32.480 --> 0:44:35.720
<v Speaker 18>at in the near term is an opportunity to fix rare.

0:44:35.560 --> 0:44:38.319
<v Speaker 7>Disease, right, mut I mean this in a good way, and.

0:44:38.320 --> 0:44:42.200
<v Speaker 18>That's great, right, But in the future, what about for others,

0:44:42.280 --> 0:44:44.279
<v Speaker 18>you know, for kind of more broadly, what kind of

0:44:44.320 --> 0:44:46.400
<v Speaker 18>impact is it going to have? I think in the future,

0:44:46.440 --> 0:44:48.600
<v Speaker 18>we're looking at opportunities to prevent.

0:44:48.320 --> 0:44:50.759
<v Speaker 7>Disease yeah, exactly how do we get there?

0:44:50.840 --> 0:44:51.680
<v Speaker 19>Ye like, what do you like?

0:44:51.760 --> 0:44:54.399
<v Speaker 7>How do what's what's needed? Is it twenty and also

0:44:54.440 --> 0:44:54.919
<v Speaker 7>how long?

0:44:55.680 --> 0:44:57.040
<v Speaker 9>Well, I think a couple of things.

0:44:57.120 --> 0:44:59.640
<v Speaker 18>One is, I'd love to see us scale the end

0:44:59.680 --> 0:45:02.200
<v Speaker 18>of one the rare disease approach, because I think that

0:45:02.239 --> 0:45:06.280
<v Speaker 18>creates a pipeline for expanding the opportunities for more patients

0:45:06.320 --> 0:45:09.759
<v Speaker 18>to participate. And Then secondly, I think we have to

0:45:09.800 --> 0:45:12.640
<v Speaker 18>continue to look for ways to ensure that editing is

0:45:12.640 --> 0:45:15.319
<v Speaker 18>done safely and effectively. What are the right ways to

0:45:15.400 --> 0:45:17.440
<v Speaker 18>regulate it, what are the right ways to test it?

0:45:17.880 --> 0:45:21.520
<v Speaker 18>That's all key to expanding it into more patients.

0:45:21.680 --> 0:45:23.600
<v Speaker 4>I want to talk funding here for research because in

0:45:23.600 --> 0:45:26.959
<v Speaker 4>twenty twenty three, American University has received about sixty billion

0:45:27.000 --> 0:45:29.480
<v Speaker 4>dollars in funding that went to every single state in

0:45:29.520 --> 0:45:31.440
<v Speaker 4>the US, universities in every state. Much of it has

0:45:31.440 --> 0:45:35.040
<v Speaker 4>gone to research that's at risk right now. How has

0:45:35.280 --> 0:45:39.600
<v Speaker 4>public funding fueled your pioneering work.

0:45:39.760 --> 0:45:42.200
<v Speaker 18>Well, we had a grant from the Department of Energy,

0:45:42.600 --> 0:45:45.160
<v Speaker 18>was our very first grant to work on CRISPER, and

0:45:45.239 --> 0:45:47.680
<v Speaker 18>I met with the Secretary of Energy last week. I

0:45:47.719 --> 0:45:49.320
<v Speaker 18>told him that if we hadn't had that grant, we

0:45:49.360 --> 0:45:52.680
<v Speaker 18>couldn't have started the research. So it's really important that

0:45:52.760 --> 0:45:56.359
<v Speaker 18>we have federal dollars to support curiosity driven science that

0:45:56.680 --> 0:45:57.680
<v Speaker 18>drive new innovation.

0:45:58.040 --> 0:45:59.040
<v Speaker 5>Is that at risk right now?

0:45:59.280 --> 0:46:00.560
<v Speaker 7>It's a risk, it is.

0:46:00.719 --> 0:46:02.840
<v Speaker 18>And the other thing I think to point out is

0:46:02.880 --> 0:46:06.720
<v Speaker 18>that the federal funding of science creates a huge, highly

0:46:06.760 --> 0:46:09.960
<v Speaker 18>trained workforce here in the United States. That create the

0:46:09.960 --> 0:46:13.200
<v Speaker 18>people that are trained to go into pharmaceutical companies, to

0:46:13.200 --> 0:46:14.000
<v Speaker 18>go into biotech.

0:46:14.000 --> 0:46:14.880
<v Speaker 9>A lot of them become.

0:46:15.120 --> 0:46:18.320
<v Speaker 18>Entrepreneurs here in the Bay Area and elsewhere. They drive

0:46:18.400 --> 0:46:19.480
<v Speaker 18>the future with innovation.

0:46:19.640 --> 0:46:21.479
<v Speaker 6>What would you say, Jennifer to people who are listening

0:46:21.520 --> 0:46:24.360
<v Speaker 6>and say, well, I don't understand why an academic institution

0:46:24.520 --> 0:46:28.800
<v Speaker 6>like a Harvard or that has a multi billion dollar endowment,

0:46:29.000 --> 0:46:29.600
<v Speaker 6>why do they.

0:46:29.480 --> 0:46:31.960
<v Speaker 7>Need federal money, you know, to do R and D.

0:46:32.160 --> 0:46:35.960
<v Speaker 6>So help us understand why that is so important for

0:46:36.080 --> 0:46:40.360
<v Speaker 6>America and our academic universities and institutions to have that

0:46:40.440 --> 0:46:41.640
<v Speaker 6>federally funded research.

0:46:41.760 --> 0:46:42.960
<v Speaker 7>Why is that so important?

0:46:43.120 --> 0:46:45.320
<v Speaker 18>Well, it's very important because we need to fund the

0:46:45.400 --> 0:46:49.359
<v Speaker 18>kind of out there, high risk but potentially very high

0:46:49.440 --> 0:46:52.600
<v Speaker 18>benefit research that drives the future.

0:46:52.960 --> 0:46:54.319
<v Speaker 19>Companies aren't going to do that.

0:46:54.440 --> 0:46:57.680
<v Speaker 18>Investors don't want to put money into things that are unproven, and.

0:46:57.680 --> 0:46:59.640
<v Speaker 7>The university you're going to do that on their own?

0:47:00.080 --> 0:47:02.600
<v Speaker 18>They can't, you know, they just don't have the resources

0:47:02.600 --> 0:47:07.120
<v Speaker 18>to do it. Private company private universities that have, you know,

0:47:07.239 --> 0:47:10.320
<v Speaker 18>resources that go beyond what we have at public schools

0:47:10.400 --> 0:47:11.400
<v Speaker 18>like mine.

0:47:11.360 --> 0:47:13.480
<v Speaker 7>Can do maybe more than the rest of us.

0:47:13.520 --> 0:47:17.000
<v Speaker 18>But most universities simply do not have the funding to

0:47:17.040 --> 0:47:17.520
<v Speaker 18>support them.

0:47:17.600 --> 0:47:19.080
<v Speaker 7>I want to push because you understand this world.

0:47:19.120 --> 0:47:20.319
<v Speaker 6>So what if they say, well, wait a minute, so

0:47:20.360 --> 0:47:22.799
<v Speaker 6>don't build another football stadium or don't you know what.

0:47:22.680 --> 0:47:25.480
<v Speaker 7>I mean, like spend that money on doing R and

0:47:25.600 --> 0:47:26.200
<v Speaker 7>D if it's.

0:47:26.040 --> 0:47:29.239
<v Speaker 18>So important, right, But I think you know, the thing

0:47:29.280 --> 0:47:33.239
<v Speaker 18>to understand is that the federal government has traditionally invested

0:47:33.320 --> 0:47:37.000
<v Speaker 18>in science, really since World War Two. It ended in

0:47:37.040 --> 0:47:39.440
<v Speaker 18>a way that has returned more than two and a

0:47:39.480 --> 0:47:42.960
<v Speaker 18>half dollars for every dollar invested. And that comes from

0:47:43.000 --> 0:47:46.839
<v Speaker 18>the companies founded, the intellectual property, the patents issued, all

0:47:46.880 --> 0:47:49.080
<v Speaker 18>of the inventions that have been created, all of the

0:47:49.200 --> 0:47:52.279
<v Speaker 18>cures that we're now seeing crisper and other things that

0:47:52.600 --> 0:47:54.840
<v Speaker 18>is really a direct result of federal funding.

0:47:55.160 --> 0:47:57.640
<v Speaker 4>We're seeing a decline of interest that seems like from

0:47:57.680 --> 0:48:00.800
<v Speaker 4>venture capitalists right now in funding these to the companies.

0:48:01.080 --> 0:48:04.040
<v Speaker 4>Back in twenty twenty, DC money raise rotie therapy companies

0:48:04.120 --> 0:48:07.520
<v Speaker 4>peaked three point three billion dollars. It's been moving lower

0:48:07.560 --> 0:48:09.480
<v Speaker 4>since to just a few hundred million.

0:48:09.280 --> 0:48:12.000
<v Speaker 5>Dollars last year. That's according to Feel FORMA. What's going

0:48:12.040 --> 0:48:12.359
<v Speaker 5>on here.

0:48:12.719 --> 0:48:14.759
<v Speaker 18>I think that, you know, I've been around a few

0:48:14.800 --> 0:48:17.480
<v Speaker 18>years and I've seen I've seen some cycles, you know,

0:48:17.640 --> 0:48:20.239
<v Speaker 18>and this is not unexpected in biotech.

0:48:20.280 --> 0:48:21.320
<v Speaker 9>This has happened before.

0:48:21.719 --> 0:48:24.160
<v Speaker 18>I think what happens is that, you know, sometimes there's

0:48:24.520 --> 0:48:26.640
<v Speaker 18>you know, there we go through moments when there's a

0:48:26.640 --> 0:48:29.120
<v Speaker 18>lot of excitement about a field or maybe even a

0:48:29.160 --> 0:48:32.080
<v Speaker 18>whole sector, like biotech, and that was true in the

0:48:32.160 --> 0:48:35.719
<v Speaker 18>early twenty twenties, and then there was a kind of

0:48:35.719 --> 0:48:38.879
<v Speaker 18>a check on that people realizing that, gosh, it's hard

0:48:38.920 --> 0:48:41.200
<v Speaker 18>to make drugs, you know, and it takes a bit

0:48:41.239 --> 0:48:43.480
<v Speaker 18>of time, and so I think there's been a pullback.

0:48:43.920 --> 0:48:47.160
<v Speaker 18>I think that the baby kJ story and some of

0:48:47.200 --> 0:48:50.480
<v Speaker 18>the other things happening right now with gene editing in particular,

0:48:51.000 --> 0:48:54.640
<v Speaker 18>are just so inspiring that I'm hopeful that investors will

0:48:54.680 --> 0:48:57.240
<v Speaker 18>re engage and realize the opportunity ahead.

0:48:57.360 --> 0:49:00.600
<v Speaker 4>Speaking of engaging, and kind of back to the side

0:49:00.640 --> 0:49:02.279
<v Speaker 4>of this. Have you had a chance to speak with

0:49:02.360 --> 0:49:04.880
<v Speaker 4>vine Pisad then you had a befd's division that oversees

0:49:04.880 --> 0:49:05.400
<v Speaker 4>gene editing.

0:49:05.880 --> 0:49:08.680
<v Speaker 18>I think the FDA has played a central role in

0:49:09.040 --> 0:49:13.799
<v Speaker 18>regulating new therapies like Crisper. They are clearly excited about

0:49:13.800 --> 0:49:17.279
<v Speaker 18>the opportunities that the story of babykj Offer, and I

0:49:17.280 --> 0:49:18.879
<v Speaker 18>think we have a great partnership with them.

0:49:19.160 --> 0:49:21.399
<v Speaker 6>You mentioned the other things that gene editing are doing,

0:49:21.480 --> 0:49:23.640
<v Speaker 6>and maybe not everything gets into the headlines, but give

0:49:23.719 --> 0:49:26.960
<v Speaker 6>us an idea of kind of the broad impact or

0:49:27.120 --> 0:49:29.880
<v Speaker 6>the broader impact that it maybe has already had.

0:49:30.280 --> 0:49:33.080
<v Speaker 18>Right Well, you know, a couple things immediately come to mind.

0:49:33.120 --> 0:49:36.920
<v Speaker 18>One is programming immune cells to fight cancer. That's ongoing

0:49:36.960 --> 0:49:39.880
<v Speaker 18>with Crisper, and there are many companies and academic.

0:49:39.400 --> 0:49:40.319
<v Speaker 19>Groups working on that.

0:49:40.640 --> 0:49:45.680
<v Speaker 18>We have opportunities in other areas like cardiovascular disease. And

0:49:45.719 --> 0:49:48.640
<v Speaker 18>then you know, thinking ahead, looking at ways that we

0:49:48.719 --> 0:49:53.080
<v Speaker 18>might treat neurodegenerative disease, Alzheimer's, etc. I think that's also

0:49:53.160 --> 0:49:55.160
<v Speaker 18>a very interesting opportunity with Christoper.

0:49:55.360 --> 0:49:58.000
<v Speaker 6>One thing I always wonder is that there is a

0:49:58.200 --> 0:50:03.160
<v Speaker 6>massive business already established treating cancer and Alzheimer's so many

0:50:03.200 --> 0:50:06.920
<v Speaker 6>different things. Does that ever slow the progress of something

0:50:06.960 --> 0:50:10.920
<v Speaker 6>that has the potential to be so impactful like gene editing.

0:50:11.200 --> 0:50:13.160
<v Speaker 7>I'm always curious about that disconnect.

0:50:13.360 --> 0:50:15.600
<v Speaker 6>It's a big business, right, taking care of all of

0:50:15.680 --> 0:50:18.000
<v Speaker 6>us and what ails us, especially as we get older.

0:50:18.239 --> 0:50:21.240
<v Speaker 18>It is, and you know, both cancer and heart disease

0:50:21.280 --> 0:50:21.960
<v Speaker 18>are really.

0:50:21.800 --> 0:50:23.359
<v Speaker 7>Multiple diseases, aren't they Right.

0:50:23.360 --> 0:50:25.480
<v Speaker 18>There's a lot going on there saying with their own

0:50:25.480 --> 0:50:29.080
<v Speaker 18>degenerative disease. So I think the answer is we just

0:50:29.120 --> 0:50:31.759
<v Speaker 18>need everything we have to treat these disorders.

0:50:32.120 --> 0:50:35.279
<v Speaker 4>That's Jennifer dudda founder of the Innovative Genomics Institute and

0:50:35.320 --> 0:50:36.920
<v Speaker 4>a Nobel Laureate in chemistry.

0:50:37.160 --> 0:50:39.719
<v Speaker 6>You're listening to a special edition of Bloomberg Business Week.

0:50:40.000 --> 0:50:42.680
<v Speaker 6>Coming up more conversations from our trip out west to

0:50:42.719 --> 0:50:45.960
<v Speaker 6>the Bloomberg Tech Summit. I'm Carol Masser with Tim Stenoviek.

0:50:46.200 --> 0:50:47.279
<v Speaker 5>This is Bloomberg.

0:50:49.200 --> 0:50:53.040
<v Speaker 2>This is the Bloomberg Business Week Daily Podcast. Listen live

0:50:53.160 --> 0:50:56.040
<v Speaker 2>each weekday starting at two pm Eastern on Apple car

0:50:56.160 --> 0:50:58.959
<v Speaker 2>Play and the Android Auto with the Bloomberg Business App.

0:50:59.040 --> 0:51:01.799
<v Speaker 2>You can also listen live on Amazon Alexa from our

0:51:01.840 --> 0:51:06.000
<v Speaker 2>flagship New York station. Just say Alexa played Bloomberg eleven thirty.

0:51:07.200 --> 0:51:09.840
<v Speaker 4>Welcome back to a special edition of Bloomberg's Business Week,

0:51:09.880 --> 0:51:12.040
<v Speaker 4>taking a look at some of our favorite conversations from

0:51:12.080 --> 0:51:13.280
<v Speaker 4>the Bloomberg Tech Summit.

0:51:13.600 --> 0:51:17.879
<v Speaker 6>Up next, we hear from Peggy Johnson, CEO of Agility Robotics.

0:51:17.560 --> 0:51:20.840
<v Speaker 4>Robots and warehouses doing repetitive tasks that humans now do,

0:51:20.960 --> 0:51:23.200
<v Speaker 4>but doing them better and not getting injured.

0:51:23.360 --> 0:51:23.640
<v Speaker 5>Carold.

0:51:23.640 --> 0:51:25.920
<v Speaker 4>It sounds like the stuff of the future, But Agility

0:51:26.000 --> 0:51:28.640
<v Speaker 4>Robotics is one of the few companies that's doing this

0:51:28.880 --> 0:51:29.319
<v Speaker 4>right now.

0:51:29.520 --> 0:51:32.200
<v Speaker 7>Yeah, they really are. Check us out. It's got five

0:51:32.239 --> 0:51:33.680
<v Speaker 7>foot nine inch robots.

0:51:33.320 --> 0:51:36.719
<v Speaker 6>Working at a warehouse containing products made by spanks, has

0:51:36.760 --> 0:51:39.880
<v Speaker 6>technology and testing at Amazon dot Com facilities, and that

0:51:39.920 --> 0:51:43.000
<v Speaker 6>really makes Agility really one of the few humanoid bought

0:51:43.000 --> 0:51:46.480
<v Speaker 6>companies with machines currently performing useful task for customers. If

0:51:46.520 --> 0:51:49.160
<v Speaker 6>you are wondering if it's happening, folks, it's happening.

0:51:49.440 --> 0:51:51.799
<v Speaker 4>Peggy's the former CEO of the augmented reality tech for

0:51:51.920 --> 0:51:54.360
<v Speaker 4>Magically if she's held senior roles at Microsoft and Qualcom.

0:51:54.480 --> 0:51:57.280
<v Speaker 4>She joins us here in San Francisco the Bloomberg Tech Summit.

0:51:57.400 --> 0:51:57.840
<v Speaker 5>Welcome.

0:51:58.320 --> 0:52:01.080
<v Speaker 4>It's been reported that a companies are testing digit you're

0:52:01.160 --> 0:52:03.960
<v Speaker 4>humanoid robot. It's what we're talking about. When will it

0:52:04.000 --> 0:52:07.319
<v Speaker 4>go beyond testing though to actually scale. Apparently they're only

0:52:07.360 --> 0:52:09.120
<v Speaker 4>about one hundred of these that are out in the

0:52:09.120 --> 0:52:09.839
<v Speaker 4>field right now.

0:52:10.000 --> 0:52:11.760
<v Speaker 9>Well, we have gone beyond testing.

0:52:11.800 --> 0:52:14.600
<v Speaker 19>We are actually commercially deployed as of one year ago

0:52:14.920 --> 0:52:19.160
<v Speaker 19>in GXO facilities, which is a third party logistics provider

0:52:19.200 --> 0:52:21.600
<v Speaker 19>who sends spanks out.

0:52:22.680 --> 0:52:26.560
<v Speaker 4>At this point, we do we do so how many

0:52:26.600 --> 0:52:28.120
<v Speaker 4>are out there in the field right now?

0:52:28.160 --> 0:52:30.239
<v Speaker 19>There's a handful of them, but they're getting ready to

0:52:30.280 --> 0:52:34.200
<v Speaker 19>get a hundred oh total. We only have about one

0:52:34.239 --> 0:52:37.520
<v Speaker 19>hundred out in the field that the company has made.

0:52:38.040 --> 0:52:40.880
<v Speaker 19>But at GXO we have a handful of those, but

0:52:40.920 --> 0:52:43.000
<v Speaker 19>they're looking at next steps on how to scale that

0:52:43.080 --> 0:52:44.160
<v Speaker 19>beyond that facility.

0:52:44.239 --> 0:52:46.160
<v Speaker 6>Peggy, is it all about logistics at least for the

0:52:46.160 --> 0:52:49.200
<v Speaker 6>beginning and for a long time, Like, I'm.

0:52:49.000 --> 0:52:50.320
<v Speaker 7>Just curious how this explodes.

0:52:50.400 --> 0:52:52.759
<v Speaker 19>Yeah, that was the right entry point for a couple

0:52:52.800 --> 0:52:56.520
<v Speaker 19>of reasons. One is the robot is capable of doing

0:52:56.560 --> 0:52:56.960
<v Speaker 19>that today.

0:52:56.960 --> 0:52:58.080
<v Speaker 9>It was made for work.

0:52:58.200 --> 0:53:01.359
<v Speaker 19>It can pick up heavy containers even if things are

0:53:01.440 --> 0:53:04.319
<v Speaker 19>rolling around in it and still be stable and set

0:53:04.320 --> 0:53:06.000
<v Speaker 19>it down. It can move things from A to B

0:53:06.520 --> 0:53:10.560
<v Speaker 19>over and over and over again. Logistics happens to be

0:53:10.600 --> 0:53:14.120
<v Speaker 19>an area where there's a huge labor gap. These are

0:53:14.719 --> 0:53:23.719
<v Speaker 19>challenging jobs, very physically challenging. They have a repetition, they're

0:53:23.760 --> 0:53:25.040
<v Speaker 19>a little bit mind numbing.

0:53:25.200 --> 0:53:27.120
<v Speaker 9>They're just hard jobs.

0:53:27.160 --> 0:53:29.840
<v Speaker 19>Have caused a lot of injuries and things. Hard to

0:53:29.880 --> 0:53:33.200
<v Speaker 19>fill these jobs. So because of that demand, we are

0:53:33.239 --> 0:53:34.400
<v Speaker 19>able to bring our robots in.

0:53:34.560 --> 0:53:37.840
<v Speaker 7>How expensive are they and how quickly it kind of

0:53:37.880 --> 0:53:38.200
<v Speaker 7>makes sense?

0:53:40.280 --> 0:53:47.520
<v Speaker 6>That's true's no vacation time, maintenance, they don't fight with

0:53:47.560 --> 0:53:55.799
<v Speaker 6>each other. Seriously, how much do they cost? And like

0:53:55.880 --> 0:53:57.959
<v Speaker 6>for a company, how quickly does it make sense?

0:53:58.040 --> 0:53:59.960
<v Speaker 19>Yeah? Right now we talk about them in the rain,

0:54:00.400 --> 0:54:03.880
<v Speaker 19>very low volume of say a luxury vehicle, but that's

0:54:03.880 --> 0:54:04.600
<v Speaker 19>coming down.

0:54:04.560 --> 0:54:06.360
<v Speaker 9>Very very quickly. With volume.

0:54:06.719 --> 0:54:09.480
<v Speaker 19>We believe we have line of sight to about twenty

0:54:09.520 --> 0:54:14.759
<v Speaker 19>five K thirty K for these industrial robots. We'll be

0:54:14.880 --> 0:54:18.920
<v Speaker 19>in that environment for a while now, before say we

0:54:19.000 --> 0:54:20.759
<v Speaker 19>get into the homes, where I think the price is

0:54:20.760 --> 0:54:22.760
<v Speaker 19>going to have to come down much much further.

0:54:23.600 --> 0:54:25.640
<v Speaker 4>The big risk that by the way, we're speaking with

0:54:25.640 --> 0:54:28.040
<v Speaker 4>Peggy Johnson, CEO of Agility Robotics.

0:54:28.120 --> 0:54:30.480
<v Speaker 5>Peggy, the sort of.

0:54:30.440 --> 0:54:32.920
<v Speaker 4>Golden goose of this stuff is working alongside humans in

0:54:32.960 --> 0:54:35.040
<v Speaker 4>a way that's not at a risk to the health

0:54:35.040 --> 0:54:36.880
<v Speaker 4>of the humans, where a robot's not going to like

0:54:36.920 --> 0:54:38.240
<v Speaker 4>bump them and hurt them.

0:54:38.560 --> 0:54:39.319
<v Speaker 5>How do you do that?

0:54:39.400 --> 0:54:43.040
<v Speaker 4>Because that seems to be something that is really really challenging.

0:54:43.280 --> 0:54:46.879
<v Speaker 19>It is super challenged to alan right now exactly they

0:54:46.960 --> 0:54:49.399
<v Speaker 19>have to today work inside of a work selle, which

0:54:49.400 --> 0:54:51.680
<v Speaker 19>are these gates that go up about waist high.

0:54:51.719 --> 0:54:53.280
<v Speaker 9>It keeps humans back.

0:54:53.880 --> 0:54:55.720
<v Speaker 5>Because human's back and not robots.

0:54:55.840 --> 0:54:58.760
<v Speaker 19>Case robots, yeah right, because they're.

0:54:58.680 --> 0:55:00.920
<v Speaker 5>Very I'm thinking about they're very curious.

0:55:01.000 --> 0:55:03.400
<v Speaker 19>Humans want to get in there and see them, So

0:55:03.840 --> 0:55:08.760
<v Speaker 19>it keeps humans back. But the robots themselves are human

0:55:08.920 --> 0:55:12.920
<v Speaker 19>sized and sometimes they fall, they trip, or you know,

0:55:13.040 --> 0:55:16.000
<v Speaker 19>things just like humans do. And so you have to

0:55:16.000 --> 0:55:19.720
<v Speaker 19>be able to handle those situations in a very controlled manner.

0:55:19.800 --> 0:55:23.600
<v Speaker 19>Sometimes they're carrying fifty pounds of weight. That has to

0:55:23.640 --> 0:55:26.040
<v Speaker 19>be something that you bring the robot down in a

0:55:26.160 --> 0:55:29.239
<v Speaker 19>very controlled way so that no one gets hurt.

0:55:29.239 --> 0:55:32.040
<v Speaker 9>You don't want an arm coming around. How do you

0:55:32.080 --> 0:55:33.640
<v Speaker 9>do that? Super challenging.

0:55:33.719 --> 0:55:36.560
<v Speaker 19>We figured it out at Agility and we'll be demoing

0:55:36.600 --> 0:55:39.400
<v Speaker 19>that before the end of the year. It's called cooperative safety.

0:55:39.920 --> 0:55:41.600
<v Speaker 19>We can be around humans.

0:55:41.960 --> 0:55:44.239
<v Speaker 5>You know. One thing that I've learned over the last

0:55:44.280 --> 0:55:48.280
<v Speaker 5>few months is that China is doing this really, really well.

0:55:48.800 --> 0:55:51.200
<v Speaker 4>We have reports that there's a higher density of robots

0:55:51.200 --> 0:55:53.840
<v Speaker 4>for human on Chinese factory floors.

0:55:53.480 --> 0:55:55.360
<v Speaker 5>Than here in the US and then here in Japan.

0:55:55.800 --> 0:55:57.759
<v Speaker 4>A source feature in a Bloomberg story just a couple

0:55:57.800 --> 0:56:00.000
<v Speaker 4>of weeks ago said there are fifty or sixty company

0:56:00.200 --> 0:56:02.800
<v Speaker 4>in China, he thinks working on humanoid development.

0:56:02.840 --> 0:56:04.440
<v Speaker 5>Now are we behind?

0:56:05.480 --> 0:56:08.640
<v Speaker 19>I would say yes and no. They do have a

0:56:08.760 --> 0:56:12.800
<v Speaker 19>plethora of robots out there. Some of what is termed

0:56:12.960 --> 0:56:16.279
<v Speaker 19>humanoids aren't actually I mean humanoids usually have two arms,

0:56:16.280 --> 0:56:19.160
<v Speaker 19>two legs ahead. Some of them are simple robot arms

0:56:19.160 --> 0:56:21.160
<v Speaker 19>and things like that. So if we separate those out

0:56:21.200 --> 0:56:24.839
<v Speaker 19>and say just what are the humanoids doing, there's very

0:56:24.880 --> 0:56:30.200
<v Speaker 19>few that we see doing real heavy industrial work. Oftentimes

0:56:30.280 --> 0:56:35.359
<v Speaker 19>it's very lightweight. It's only a handful of skills. I

0:56:35.440 --> 0:56:39.400
<v Speaker 19>think from an innovation standpoint, the US is still ahead

0:56:39.400 --> 0:56:41.000
<v Speaker 19>of China in this hysteria.

0:56:41.239 --> 0:56:43.759
<v Speaker 6>Okay, well, so wait a minute, because I think we

0:56:43.800 --> 0:56:46.680
<v Speaker 6>think about like the automation part that China has done

0:56:46.760 --> 0:56:50.560
<v Speaker 6>really really very well. But you're saying with humanoids, you

0:56:50.600 --> 0:56:52.600
<v Speaker 6>think the US is ahead.

0:56:52.640 --> 0:56:55.240
<v Speaker 19>I think we are still ahead. We have not seen

0:56:55.280 --> 0:56:58.040
<v Speaker 19>first of all, safety incorporated in their humanoids.

0:56:58.520 --> 0:57:01.160
<v Speaker 9>You must have safe humanoids.

0:57:01.200 --> 0:57:02.960
<v Speaker 19>You cannot let them out of the work cell where

0:57:02.960 --> 0:57:04.799
<v Speaker 19>the big markets are without that.

0:57:04.880 --> 0:57:05.480
<v Speaker 3>You need an e.

0:57:05.600 --> 0:57:08.000
<v Speaker 19>Stop for instance, an emergency stop on the back.

0:57:08.480 --> 0:57:09.279
<v Speaker 9>You need to hit that.

0:57:09.320 --> 0:57:12.040
<v Speaker 19>If something goes wrong. It's just like an electronic bing.

0:57:12.400 --> 0:57:13.360
<v Speaker 7>Can I get one for this?

0:57:14.120 --> 0:57:15.759
<v Speaker 5>They do have that in the World Robot, the best

0:57:15.760 --> 0:57:17.560
<v Speaker 5>selling children's book. Well they do.

0:57:17.720 --> 0:57:19.000
<v Speaker 19>Okay, See they're ahead.

0:57:19.120 --> 0:57:19.760
<v Speaker 3>They are ahead.

0:57:19.960 --> 0:57:22.720
<v Speaker 6>So I am curious about oversight though, like yeah, is

0:57:22.960 --> 0:57:27.000
<v Speaker 6>like what is the capacity for someone to go in

0:57:27.040 --> 0:57:29.480
<v Speaker 6>and affect a program? Like how does it work? Are

0:57:29.640 --> 0:57:32.920
<v Speaker 6>once a human eye is out there? Are they completely independent?

0:57:33.280 --> 0:57:35.680
<v Speaker 6>Or is there some over like how does yeah?

0:57:35.680 --> 0:57:36.560
<v Speaker 9>So a couple of things.

0:57:36.600 --> 0:57:40.040
<v Speaker 19>We are actually working with US government on the standards

0:57:40.120 --> 0:57:40.960
<v Speaker 19>for humanoids.

0:57:41.000 --> 0:57:42.120
<v Speaker 9>None exists right now.

0:57:42.400 --> 0:57:45.120
<v Speaker 19>They need to work with on that. We work with

0:57:45.160 --> 0:57:48.439
<v Speaker 19>a group called A three and they then input the

0:57:48.480 --> 0:57:50.760
<v Speaker 19>results of that into folks like oh ship.

0:57:50.600 --> 0:57:51.280
<v Speaker 7>Part of defense?

0:57:51.320 --> 0:57:54.480
<v Speaker 5>Oh no, would would it go under David all.

0:57:56.800 --> 0:57:57.120
<v Speaker 3>Crept?

0:57:57.280 --> 0:57:59.400
<v Speaker 19>It will probably cross paths with David.

0:57:59.160 --> 0:58:03.160
<v Speaker 6>At some point, all right, so continue.

0:58:01.640 --> 0:58:03.880
<v Speaker 9>So you need you need that.

0:58:04.280 --> 0:58:07.920
<v Speaker 19>But we've taken safety seriously from day one. Because of

0:58:08.000 --> 0:58:12.160
<v Speaker 19>the power in these machines, you have to take it seriously.

0:58:12.600 --> 0:58:15.200
<v Speaker 19>If if a program, if something should happen, you don't

0:58:15.240 --> 0:58:18.479
<v Speaker 19>want an arm to fling around and knock you over

0:58:19.120 --> 0:58:24.040
<v Speaker 19>and do perhaps more damage. So that and also the

0:58:24.200 --> 0:58:26.920
<v Speaker 19>data on it has to stay very protected. Just like

0:58:27.080 --> 0:58:30.680
<v Speaker 19>anything in a corporate IT infrastructure, You've got to keep

0:58:30.680 --> 0:58:34.360
<v Speaker 19>the data protected. So we think of all of those things.

0:58:33.720 --> 0:58:36.240
<v Speaker 6>Are they using data from the cloud, do they have

0:58:36.280 --> 0:58:38.840
<v Speaker 6>their own like on site on premise both.

0:58:39.200 --> 0:58:42.680
<v Speaker 19>We have quite a bit of compute on the robot

0:58:42.760 --> 0:58:45.959
<v Speaker 19>itself and we're also connected to the cloud. We need

0:58:46.000 --> 0:58:49.720
<v Speaker 19>to step into an enterprise environment, so we have to

0:58:49.760 --> 0:58:52.240
<v Speaker 19>plug into their warehouse management systems. We have to talk

0:58:52.280 --> 0:58:56.120
<v Speaker 19>to the other types of robots like autonomous mobile carts

0:58:56.160 --> 0:58:59.760
<v Speaker 19>and conveyor belts. Those are all types of automation and

0:58:59.800 --> 0:59:01.800
<v Speaker 19>we have to talk to all of those in order

0:59:01.840 --> 0:59:04.480
<v Speaker 19>to work safely in that environment. And by the way,

0:59:04.480 --> 0:59:08.040
<v Speaker 19>to take over those tasks that they can't find humans for.

0:59:08.200 --> 0:59:10.200
<v Speaker 9>We have to be able to plug in as if.

0:59:10.000 --> 0:59:12.240
<v Speaker 4>It was a human You're not the only one here

0:59:12.240 --> 0:59:13.560
<v Speaker 4>in the US who's working on this. I don't know

0:59:13.560 --> 0:59:15.840
<v Speaker 4>if you saw Brett Adcock from jan RAI was here,

0:59:16.000 --> 0:59:18.959
<v Speaker 4>They're also working on humanoids. How does your robot differ

0:59:19.000 --> 0:59:19.560
<v Speaker 4>from Brett's.

0:59:21.040 --> 0:59:24.000
<v Speaker 19>Well, we're here today with our robot who will walk

0:59:24.040 --> 0:59:30.840
<v Speaker 19>autonomously onto the stage today and upon my input, will

0:59:31.280 --> 0:59:33.200
<v Speaker 19>execute on my commands.

0:59:33.360 --> 0:59:34.520
<v Speaker 9>So that's one big.

0:59:34.360 --> 0:59:37.360
<v Speaker 4>Difference, and it sounds like the Figure AI robot does not.

0:59:37.360 --> 0:59:38.080
<v Speaker 5>Do that at this point.

0:59:38.400 --> 0:59:41.760
<v Speaker 9>I haven't seen it. Okay, possibly has anyone seen it?

0:59:42.200 --> 0:59:42.840
<v Speaker 19>I don't know.

0:59:43.000 --> 0:59:44.080
<v Speaker 3>Okay, I couldn't you care?

0:59:44.120 --> 0:59:46.960
<v Speaker 4>Ask Brett, Well, we could do Carol. Do you remember

0:59:47.000 --> 0:59:49.240
<v Speaker 4>that show many years ago? This is like when I

0:59:49.280 --> 0:59:53.760
<v Speaker 4>was a kid, BattleBots, where they had like remote control

0:59:54.160 --> 0:59:56.800
<v Speaker 4>cars robots that would like violently attack each other.

0:59:56.800 --> 0:59:58.560
<v Speaker 5>I could see like a little cage match.

0:59:59.160 --> 1:00:02.680
<v Speaker 6>Between actually that you've seen some video over in China.

1:00:02.880 --> 1:00:04.640
<v Speaker 7>Yeah, different robots.

1:00:04.280 --> 1:00:07.040
<v Speaker 4>Kind of digit and like a Figure AI robot.

1:00:07.160 --> 1:00:12.240
<v Speaker 19>Yeah, we actually have really taken a stand that we

1:00:12.280 --> 1:00:16.320
<v Speaker 19>would never arm our general purpose robots. If we do

1:00:16.520 --> 1:00:19.880
<v Speaker 19>as we first and foremost have to have trust with

1:00:20.000 --> 1:00:21.120
<v Speaker 19>the humans.

1:00:21.160 --> 1:00:23.800
<v Speaker 5>So we won't talk that The fact that you have

1:00:23.920 --> 1:00:24.720
<v Speaker 5>to say that I think.

1:00:24.680 --> 1:00:25.200
<v Speaker 12>Is the story.

1:00:25.480 --> 1:00:27.600
<v Speaker 7>No, it is a story like I'm thinking we just talked.

1:00:27.400 --> 1:00:29.960
<v Speaker 6>About drones in terms of yeah, that's impacting warfare, and

1:00:30.000 --> 1:00:34.240
<v Speaker 6>I just think about all this stuff getting into the

1:00:34.280 --> 1:00:35.480
<v Speaker 6>wrong hands, like how.

1:00:35.360 --> 1:00:36.360
<v Speaker 7>Do we control that.

1:00:36.520 --> 1:00:39.880
<v Speaker 19>Well, we've already seen some of that out of China.

1:00:39.960 --> 1:00:44.880
<v Speaker 19>You see armed humanoids in videos and things. I think

1:00:44.920 --> 1:00:47.880
<v Speaker 19>the US has to have a response to that obviously,

1:00:47.960 --> 1:00:50.320
<v Speaker 19>and that they should have that kind of tech.

1:00:50.520 --> 1:00:50.720
<v Speaker 7>Right.

1:00:50.960 --> 1:00:54.680
<v Speaker 19>My point is our current general purpose robots are not

1:00:54.800 --> 1:00:57.160
<v Speaker 19>meant for that at all, and because we need to

1:00:57.160 --> 1:00:59.320
<v Speaker 19>build trust in the environment.

1:00:59.400 --> 1:01:02.320
<v Speaker 4>Well, you never will you rule out ever using your

1:01:02.440 --> 1:01:03.600
<v Speaker 4>robots for security place.

1:01:03.600 --> 1:01:05.080
<v Speaker 9>I mean, we've never ruled that out.

1:01:05.240 --> 1:01:07.600
<v Speaker 19>I just want to make it very clear that what

1:01:07.680 --> 1:01:10.760
<v Speaker 19>we have today is not meant for that. And you

1:01:10.800 --> 1:01:14.200
<v Speaker 19>do see videos of that coming out of general purpose

1:01:14.320 --> 1:01:15.360
<v Speaker 19>robots in China.

1:01:15.480 --> 1:01:17.240
<v Speaker 5>Yeah, I will say that that is terrifying.

1:01:17.760 --> 1:01:21.200
<v Speaker 4>Well, we've read startups are doing trials in China from

1:01:21.600 --> 1:01:24.360
<v Speaker 4>sorting garbage, delivery, medicines, and nursing homes. You're thinking about

1:01:24.400 --> 1:01:27.840
<v Speaker 4>using these for elder care, but also patrolling the streets

1:01:27.840 --> 1:01:31.320
<v Speaker 4>alongside police officers and on the other hand, guiding.

1:01:31.080 --> 1:01:31.800
<v Speaker 5>Museum for us.

1:01:31.880 --> 1:01:36.160
<v Speaker 19>Yeah, those are all great use cases. I think it

1:01:36.240 --> 1:01:39.040
<v Speaker 19>is because you're putting a human in harm's way every

1:01:39.040 --> 1:01:41.240
<v Speaker 19>time a policeman walks out onto the street.

1:01:41.600 --> 1:01:44.680
<v Speaker 9>I think better to have a robot.

1:01:44.800 --> 1:01:46.680
<v Speaker 7>I think it doesn't have to be armed.

1:01:46.760 --> 1:01:51.400
<v Speaker 19>It doesn't. Yeah, in a hazardous situation there's been some

1:01:51.440 --> 1:01:54.760
<v Speaker 19>sort of nuclear problem, send a robot in, don't you know?

1:01:54.920 --> 1:01:56.120
<v Speaker 9>Send in humans?

1:01:56.160 --> 1:01:56.720
<v Speaker 7>I want to ask you.

1:01:56.840 --> 1:02:00.480
<v Speaker 6>City recently projected that the market for the machine humanoids

1:02:00.480 --> 1:02:02.920
<v Speaker 6>and related services will search to about seven trillion by

1:02:02.960 --> 1:02:05.680
<v Speaker 6>twenty fifty, and the world could be populated by six

1:02:05.760 --> 1:02:08.800
<v Speaker 6>hundred and forty eight million human like bots by that

1:02:09.280 --> 1:02:10.520
<v Speaker 6>What might that world look like?

1:02:10.640 --> 1:02:11.240
<v Speaker 7>Take us there?

1:02:11.760 --> 1:02:15.600
<v Speaker 19>Well, I think that world doesn't happen first until their safety.

1:02:15.760 --> 1:02:18.560
<v Speaker 19>So we have to show that these robots can be

1:02:18.600 --> 1:02:21.560
<v Speaker 19>side by side with humans in a very safe manner.

1:02:22.200 --> 1:02:24.600
<v Speaker 19>But then you should think of it as a tool.

1:02:24.720 --> 1:02:28.240
<v Speaker 19>And the same way farmers used to plow fields with oxen,

1:02:28.280 --> 1:02:30.360
<v Speaker 19>and now they have machines that do it. This will

1:02:30.360 --> 1:02:34.640
<v Speaker 19>be a tool that will give you choice. Some people

1:02:34.720 --> 1:02:37.040
<v Speaker 19>might want to use their robot to cook. You might

1:02:37.120 --> 1:02:39.200
<v Speaker 19>enjoy cooking. You say no, just do the laundry.

1:02:39.240 --> 1:02:39.480
<v Speaker 1>For me.

1:02:40.000 --> 1:02:42.640
<v Speaker 19>So that or you should think of it as giving

1:02:42.640 --> 1:02:44.440
<v Speaker 19>you choice to take manual labor.

1:02:44.160 --> 1:02:44.560
<v Speaker 9>Off your head.

1:02:44.600 --> 1:02:47.120
<v Speaker 7>So we could have every household has their own humanoid.

1:02:47.280 --> 1:02:50.520
<v Speaker 6>I would wind to do like tasks like it'll be affordable.

1:02:50.960 --> 1:02:54.120
<v Speaker 5>I would say two hours a night, right, it's like

1:02:55.360 --> 1:02:55.720
<v Speaker 5>every day.

1:02:56.040 --> 1:03:00.320
<v Speaker 6>I mean you could see every household having absolutely yeah, yeah, where.

1:03:00.200 --> 1:03:01.360
<v Speaker 5>We let you go? Funding?

1:03:01.520 --> 1:03:03.680
<v Speaker 4>How you're thinking about the business. The information reported just

1:03:03.680 --> 1:03:05.760
<v Speaker 4>a couple months ago in March, and you're raising four

1:03:05.840 --> 1:03:08.360
<v Speaker 4>hundred million dollars at a pre investment valuation at one

1:03:08.360 --> 1:03:09.840
<v Speaker 4>point seventy five billion dollars.

1:03:09.920 --> 1:03:11.600
<v Speaker 5>Can you give us an update? Has that round closed?

1:03:12.600 --> 1:03:16.400
<v Speaker 19>That is ongoing and we have the funds will be

1:03:16.600 --> 1:03:19.680
<v Speaker 19>used to make our next generation robot, which is going

1:03:19.720 --> 1:03:21.840
<v Speaker 19>to be awesome. It's going to have a ten to

1:03:21.880 --> 1:03:26.120
<v Speaker 19>one work to charge ratio on batteries, which means one

1:03:26.200 --> 1:03:30.000
<v Speaker 19>hundred minutes of work ten minutes of charge. It's back

1:03:30.000 --> 1:03:31.040
<v Speaker 19>out the around the floor again.

1:03:31.080 --> 1:03:32.160
<v Speaker 9>It can take full shifts.

1:03:32.600 --> 1:03:34.640
<v Speaker 5>It's got many more rounds ten seconds. How many more

1:03:34.680 --> 1:03:35.440
<v Speaker 5>rounds of financing?

1:03:35.600 --> 1:03:35.919
<v Speaker 12>Of course?

1:03:36.040 --> 1:03:36.720
<v Speaker 9>I think this is it.

1:03:37.320 --> 1:03:40.440
<v Speaker 4>That's Peggy Johnson, CEO of Agility Robotics.

1:03:40.720 --> 1:03:43.280
<v Speaker 6>You're listening to a special edition of Bloomberg Business Week.

1:03:43.560 --> 1:03:46.240
<v Speaker 6>Coming up more conversations from our trip out west to

1:03:46.280 --> 1:03:49.520
<v Speaker 6>the Bloomberg Tech Summit. I'm Carol Messer with Tim Stenebek.

1:03:49.760 --> 1:03:50.800
<v Speaker 5>This is Bloomberg.

1:03:56.000 --> 1:03:59.760
<v Speaker 2>You are listening to the Bloomberg Business Weekdaily Podcast. Catch

1:03:59.800 --> 1:04:03.040
<v Speaker 2>us live weekday afternoons from two to five pm Eastern.

1:04:03.240 --> 1:04:05.760
<v Speaker 2>Listen on Apple CarPlay and the Android Auto with the

1:04:05.760 --> 1:04:09.200
<v Speaker 2>Bloomberg Business app, or watch us live on YouTube.

1:04:09.880 --> 1:04:12.400
<v Speaker 6>Welcome back to a special edition of Bloomberg Business Week,

1:04:12.720 --> 1:04:15.080
<v Speaker 6>taking a look at some of our favorite conversations from

1:04:15.080 --> 1:04:16.280
<v Speaker 6>the Bloomberg Tech Summit.

1:04:16.840 --> 1:04:19.800
<v Speaker 4>Up next, we hear from o c Emilkpari, a CEO

1:04:19.920 --> 1:04:20.840
<v Speaker 4>of Code with Class.

1:04:21.520 --> 1:04:25.240
<v Speaker 6>For years, we have been talking easily about learning to

1:04:25.320 --> 1:04:28.439
<v Speaker 6>code being pretty much a guarantee to getting a good job.

1:04:28.520 --> 1:04:29.720
<v Speaker 7>Keep in mind, just learn the.

1:04:29.760 --> 1:04:31.840
<v Speaker 5>Code, Carol, That's what you said.

1:04:32.200 --> 1:04:34.800
<v Speaker 6>Learn, you know, let your kids grow up to be coders,

1:04:34.840 --> 1:04:38.200
<v Speaker 6>because basically every company is a technology company and they

1:04:38.240 --> 1:04:42.480
<v Speaker 6>need coders to kind of manage their businesses, grow their businesses.

1:04:42.520 --> 1:04:43.680
<v Speaker 7>It's been all about that.

1:04:44.240 --> 1:04:47.520
<v Speaker 6>So many stories about those who've gone to coding boot

1:04:47.520 --> 1:04:49.720
<v Speaker 6>camps and then found very lucrative work at some of

1:04:49.760 --> 1:04:52.680
<v Speaker 6>the biggest tech companies. But there is a question now,

1:04:52.720 --> 1:04:54.360
<v Speaker 6>and you know it if you've been listening to us

1:04:54.400 --> 1:04:58.920
<v Speaker 6>here from San Francisco about AI and software applications that

1:04:58.960 --> 1:05:02.360
<v Speaker 6>maybe can teach any buddy, Tim and me to be coders.

1:05:02.440 --> 1:05:05.720
<v Speaker 4>Yeah, so should we actually be teaching coding? If that's

1:05:05.760 --> 1:05:07.600
<v Speaker 4>the world where we're entering. We're going to post this

1:05:07.680 --> 1:05:11.360
<v Speaker 4>question to Ocmioquaria, CEO of Code with Class. It's a

1:05:11.400 --> 1:05:13.600
<v Speaker 4>nonprofit that works, in its own words, to close the

1:05:13.680 --> 1:05:16.840
<v Speaker 4>gender equity gap in tech. Ohsi joins us here on

1:05:16.920 --> 1:05:18.880
<v Speaker 4>site of the Bloomberg Tech Summit in San Francisco. It's

1:05:18.880 --> 1:05:20.200
<v Speaker 4>great to see you. It's been more than a year.

1:05:20.320 --> 1:05:21.560
<v Speaker 7>Hi, friends who spoke.

1:05:22.600 --> 1:05:24.720
<v Speaker 4>A lot has happened. I don't think we talked about

1:05:24.760 --> 1:05:25.520
<v Speaker 4>AI at all.

1:05:25.880 --> 1:05:27.040
<v Speaker 9>No, we didn't have time.

1:05:27.280 --> 1:05:29.480
<v Speaker 5>So that's the question that I have for you.

1:05:29.920 --> 1:05:32.800
<v Speaker 4>Are we are we in an environment right now where

1:05:32.800 --> 1:05:35.600
<v Speaker 4>we should actually be telling these young kids.

1:05:35.360 --> 1:05:36.240
<v Speaker 5>To learn how to code?

1:05:36.400 --> 1:05:36.600
<v Speaker 9>Yeah?

1:05:36.640 --> 1:05:38.640
<v Speaker 20>I mean that is the question of the hour, So

1:05:38.760 --> 1:05:41.200
<v Speaker 20>thank you for posing it. I think when we think

1:05:41.240 --> 1:05:44.040
<v Speaker 20>about the work that we do, we're actually thinking more

1:05:44.080 --> 1:05:49.600
<v Speaker 20>broadly than actually time spent hands on keyboard producing code.

1:05:49.880 --> 1:05:51.240
<v Speaker 7>There is a lot that you can.

1:05:51.160 --> 1:05:54.360
<v Speaker 20>Learn from a set of skills that are durable and transferable.

1:05:54.400 --> 1:05:57.280
<v Speaker 20>When you learn to code, you're learning computational thinking. You're

1:05:57.360 --> 1:06:01.080
<v Speaker 20>learning a way of solving problems decompose using them. You're

1:06:01.160 --> 1:06:04.200
<v Speaker 20>learning to find patterns and create abstractions. You're learning to

1:06:04.240 --> 1:06:05.320
<v Speaker 20>think algorithmically.

1:06:05.480 --> 1:06:07.600
<v Speaker 7>These are all skills that we.

1:06:07.480 --> 1:06:10.200
<v Speaker 20>Believe are transferable to problem solving in any domain.

1:06:10.480 --> 1:06:12.200
<v Speaker 5>What's it? It's called code.

1:06:12.000 --> 1:06:14.240
<v Speaker 7>With COLOSSI now called code with coloss Yeah?

1:06:14.240 --> 1:06:16.000
<v Speaker 5>Should it be called code with classy? Should it be

1:06:16.040 --> 1:06:16.840
<v Speaker 5>called something else?

1:06:16.880 --> 1:06:17.400
<v Speaker 20>Well? Maybe?

1:06:17.480 --> 1:06:19.120
<v Speaker 16>I mean we're not really it's a term that you

1:06:19.120 --> 1:06:19.800
<v Speaker 16>would use to.

1:06:19.880 --> 1:06:24.960
<v Speaker 20>Well, so we think about technical literacy. Technical fluid doesn't

1:06:25.000 --> 1:06:28.360
<v Speaker 20>have the same ring, you know, branding aside, we've always

1:06:28.400 --> 1:06:31.160
<v Speaker 20>had that sort of ethos to the work that we do.

1:06:31.720 --> 1:06:33.000
<v Speaker 7>That really, we are.

1:06:32.880 --> 1:06:35.080
<v Speaker 20>As proud of the young people in our programs who

1:06:35.120 --> 1:06:37.320
<v Speaker 20>go on to get CS degrees as we are the

1:06:37.320 --> 1:06:40.240
<v Speaker 20>ones who don't. So we have folks in our community,

1:06:40.400 --> 1:06:43.040
<v Speaker 20>for instance, one young woman who became a lawyer right

1:06:43.040 --> 1:06:46.760
<v Speaker 20>and took her fluency in technology to help create technical

1:06:46.760 --> 1:06:47.520
<v Speaker 20>policy right.

1:06:47.800 --> 1:06:49.080
<v Speaker 7>And so the point that we're.

1:06:48.880 --> 1:06:51.800
<v Speaker 20>Making is that technology is infused in all parts of

1:06:51.800 --> 1:06:54.720
<v Speaker 20>our life. And if you want to have a fruitful career,

1:06:54.960 --> 1:06:57.400
<v Speaker 20>you should know fundamental technology skills.

1:06:57.480 --> 1:07:00.920
<v Speaker 6>But what kind of technology skills I before or describe that?

1:07:01.080 --> 1:07:02.080
<v Speaker 7>You know, the advantages of.

1:07:02.000 --> 1:07:05.440
<v Speaker 6>People learning to recognize patterns and some different things. And

1:07:05.480 --> 1:07:07.440
<v Speaker 6>it said to me, Wow, God, that sounds like AI

1:07:07.480 --> 1:07:09.919
<v Speaker 6>and that sounds like a large language model. So I'm

1:07:09.960 --> 1:07:14.280
<v Speaker 6>just kind of trying to understand what the future generations

1:07:14.360 --> 1:07:17.240
<v Speaker 6>or younger generations, what in technology do they really need

1:07:17.280 --> 1:07:19.240
<v Speaker 6>to know, because I feel like at this point they

1:07:19.280 --> 1:07:22.600
<v Speaker 6>really need to know how to converse with a chatbot

1:07:22.760 --> 1:07:26.240
<v Speaker 6>or with AI to get smart answers like So, help

1:07:26.280 --> 1:07:29.400
<v Speaker 6>me understand how you guys see this evolution of what

1:07:29.400 --> 1:07:31.200
<v Speaker 6>they need to learn when it comes to technology.

1:07:31.320 --> 1:07:34.320
<v Speaker 20>Sure, so when you think about producing a product in

1:07:34.360 --> 1:07:37.200
<v Speaker 20>the world, there's more than just developing the code, right.

1:07:37.320 --> 1:07:39.640
<v Speaker 20>Part of it is understanding what is possible with technology?

1:07:39.760 --> 1:07:41.960
<v Speaker 20>What's the problem I want to solve first and foremost

1:07:42.200 --> 1:07:45.200
<v Speaker 20>with technology? How do I make trade offs among all

1:07:45.240 --> 1:07:47.320
<v Speaker 20>the different features that I might put in that product.

1:07:47.600 --> 1:07:52.000
<v Speaker 20>So the actual process related to building technology and putting

1:07:52.040 --> 1:07:55.040
<v Speaker 20>it into the world and finding value in product market fit,

1:07:55.120 --> 1:07:57.920
<v Speaker 20>as they like to say, is a process that involves

1:07:58.240 --> 1:08:02.360
<v Speaker 20>a fluency with the technology beyond just producing the code. Yes,

1:08:02.440 --> 1:08:05.720
<v Speaker 20>it is helpful to have a software agent or aissisted

1:08:06.120 --> 1:08:09.760
<v Speaker 20>software help you produce the lines of code that are necessary,

1:08:10.120 --> 1:08:14.160
<v Speaker 20>but you need that background in technology to architect the system,

1:08:14.240 --> 1:08:16.599
<v Speaker 20>to maintain the system, to figure out how to integrate

1:08:16.640 --> 1:08:20.160
<v Speaker 20>it with other parts of the world and other partners. Right,

1:08:20.200 --> 1:08:23.400
<v Speaker 20>So the fluency and again the confidence to understand how

1:08:23.439 --> 1:08:26.400
<v Speaker 20>technology works is still going to be a baseline requirement.

1:08:26.720 --> 1:08:31.080
<v Speaker 20>We may spend zero time spending time coding because AI

1:08:31.120 --> 1:08:33.800
<v Speaker 20>assistants or agents are doing that for us, but we're

1:08:33.880 --> 1:08:37.080
<v Speaker 20>using our fundamental understanding of the technology to advance the field.

1:08:37.400 --> 1:08:39.360
<v Speaker 20>And then I would say there's all there's still room

1:08:39.400 --> 1:08:43.000
<v Speaker 20>and innovation on the frontier models in chip design. Right,

1:08:43.040 --> 1:08:45.840
<v Speaker 20>these are all still places where we haven't reached the apex.

1:08:45.920 --> 1:08:49.800
<v Speaker 20>We still want to make progress in these fundamental foundation technologies,

1:08:50.000 --> 1:08:52.040
<v Speaker 20>and so we need people who are still getting the

1:08:52.320 --> 1:08:56.000
<v Speaker 20>PhDs and studying the sort of basic fundamentals that are

1:08:56.000 --> 1:08:59.200
<v Speaker 20>going to help advance the next inflection point in computing

1:08:59.479 --> 1:09:00.519
<v Speaker 20>that we haven't discovery.

1:09:00.640 --> 1:09:01.400
<v Speaker 5>Right before we.

1:09:01.400 --> 1:09:04.960
<v Speaker 4>Let you go, we just spoke to Tom Giles, our

1:09:05.120 --> 1:09:08.920
<v Speaker 4>senior executive editor for Global Technology here and he said,

1:09:08.920 --> 1:09:11.720
<v Speaker 4>one of the big takeaways is the conversation and tech

1:09:11.760 --> 1:09:14.920
<v Speaker 4>policy and what's going on in Washington. And I'm curious

1:09:14.960 --> 1:09:18.400
<v Speaker 4>because you worked at tech companies, you worked in philanthropy,

1:09:18.600 --> 1:09:20.960
<v Speaker 4>You've worked in politics, you worked on Hillary Clinton's twenty

1:09:21.040 --> 1:09:24.200
<v Speaker 4>sixteen campaign. When it comes to tech policy right now,

1:09:24.920 --> 1:09:26.800
<v Speaker 4>what is the White House doing right and wrong? In

1:09:26.840 --> 1:09:28.479
<v Speaker 4>your view when it comes to tech?

1:09:29.080 --> 1:09:33.480
<v Speaker 20>Well, look, I think the Executive Order sort of highlighting

1:09:33.600 --> 1:09:37.520
<v Speaker 20>the importance of having AI education broadly accessible.

1:09:38.000 --> 1:09:38.760
<v Speaker 19>I think that is.

1:09:38.720 --> 1:09:42.920
<v Speaker 20>A good statement to make in general, as we're thinking

1:09:42.960 --> 1:09:46.320
<v Speaker 20>about building a few future workforce and thinking about American

1:09:46.320 --> 1:09:50.240
<v Speaker 20>competitiveness globally. I think that is something that I can

1:09:50.240 --> 1:09:50.759
<v Speaker 20>get behind.

1:09:51.240 --> 1:09:52.160
<v Speaker 5>That's O. C. M.

1:09:52.240 --> 1:09:55.439
<v Speaker 4>Yolkparia, CEO of Code with Classy Up.

1:09:55.479 --> 1:09:57.840
<v Speaker 6>Next, we hear from Ashley Mayer, co host of the

1:09:57.880 --> 1:10:01.160
<v Speaker 6>Great Chat podcast. Hey listen very much to a part

1:10:01.160 --> 1:10:03.519
<v Speaker 6>of our world today. We've got a podcast. Everybody's got

1:10:03.520 --> 1:10:05.920
<v Speaker 6>a podcast. Great Chat, though, is a.

1:10:05.840 --> 1:10:07.840
<v Speaker 7>New one that debuted I think about three months ago.

1:10:08.200 --> 1:10:11.080
<v Speaker 6>Episodes include conversations that can kind of go in a

1:10:11.120 --> 1:10:15.759
<v Speaker 6>lot of places. Llm's AI AI maybe taking our jobs,

1:10:15.760 --> 1:10:18.639
<v Speaker 6>the best place to do a startup that's as likely

1:10:18.720 --> 1:10:22.400
<v Speaker 6>to be heard as our Courting Eggs Forever twenty one's demise,

1:10:22.479 --> 1:10:23.040
<v Speaker 6>and also.

1:10:22.960 --> 1:10:25.639
<v Speaker 4>Views on the new code we've got with us here

1:10:25.680 --> 1:10:28.880
<v Speaker 4>at the Bloomberg Tech twenty five, Ashley Mayer co hosted

1:10:28.880 --> 1:10:31.719
<v Speaker 4>a great chat podcast. Actually, co founder and general partner

1:10:31.960 --> 1:10:34.320
<v Speaker 4>at the early venture firm Coalition Operators.

1:10:34.680 --> 1:10:37.240
<v Speaker 6>Tell us about this podcast because my understanding, I think

1:10:37.240 --> 1:10:39.000
<v Speaker 6>it was a LinkedIn post that you guys talked about.

1:10:39.040 --> 1:10:40.799
<v Speaker 6>I think you did that. It was like a feisty

1:10:40.840 --> 1:10:42.960
<v Speaker 6>dinner and all of a sudden, here we got to

1:10:43.000 --> 1:10:44.679
<v Speaker 6>a podcast. Tell us about what you guys were.

1:10:44.600 --> 1:10:45.679
<v Speaker 7>Thinking in the mission here.

1:10:45.760 --> 1:10:47.560
<v Speaker 1>Yeah, I mean, be careful before you go to a

1:10:47.560 --> 1:10:49.600
<v Speaker 1>dinner with a group of friends, because you might end

1:10:49.680 --> 1:10:53.840
<v Speaker 1>up starting a podcast. The five of us had a

1:10:53.840 --> 1:10:57.280
<v Speaker 1>dinner and last ball. It was a fun, feisty conversation

1:10:57.600 --> 1:11:01.719
<v Speaker 1>about the tech industry, and we joked at that dinner,

1:11:01.760 --> 1:11:03.760
<v Speaker 1>you know, maybe we should have a podcast. There are

1:11:03.760 --> 1:11:07.160
<v Speaker 1>so many podcasts that are you know, more news driven,

1:11:07.760 --> 1:11:10.960
<v Speaker 1>more informational, have guests, but we sort of thought that

1:11:11.000 --> 1:11:14.960
<v Speaker 1>maybe a more conversational, conversational format was good, and so

1:11:15.080 --> 1:11:17.519
<v Speaker 1>that podcast turned into a group chat, and that group

1:11:17.560 --> 1:11:19.639
<v Speaker 1>chat turned into a podcast and Great Chat was born.

1:11:19.760 --> 1:11:21.600
<v Speaker 6>Can I say it almost felt like Sex and the

1:11:21.640 --> 1:11:24.880
<v Speaker 6>City for the Czech worlds a little bit, because you

1:11:24.920 --> 1:11:26.720
<v Speaker 6>guys will cover a lot of what's going on in

1:11:26.720 --> 1:11:29.280
<v Speaker 6>the world more generally, but then you'll talk about, you know,

1:11:29.360 --> 1:11:32.720
<v Speaker 6>some executive moving to metow or something, and you kind

1:11:32.720 --> 1:11:34.080
<v Speaker 6>of get into the nitty gritty of it.

1:11:34.320 --> 1:11:37.760
<v Speaker 1>Sex and the City for nerds maybe, yeah. And I

1:11:37.800 --> 1:11:40.599
<v Speaker 1>think what we try to do is demystify a lot

1:11:40.640 --> 1:11:42.760
<v Speaker 1>of the headlines everyone seeing. I mean, the five of

1:11:42.880 --> 1:11:47.000
<v Speaker 1>us have worked in tech our whole careers as investors, operators, founders.

1:11:47.400 --> 1:11:50.720
<v Speaker 1>My co host Sally has been in media herself, and

1:11:50.800 --> 1:11:53.120
<v Speaker 1>so we try to break down like the biggest headlines,

1:11:53.120 --> 1:11:56.120
<v Speaker 1>the biggest topics in tech and make them accessible, especially

1:11:56.160 --> 1:11:58.639
<v Speaker 1>to a younger generation of people coming into this industry.

1:11:58.920 --> 1:12:01.200
<v Speaker 4>You guys are a venture capital so you understand that

1:12:01.240 --> 1:12:03.800
<v Speaker 4>things need to make money eventually. Yes, we're in a

1:12:03.800 --> 1:12:06.600
<v Speaker 4>world where anyone can do a podcast, so there's a

1:12:06.640 --> 1:12:10.160
<v Speaker 4>big difference between sort of the caller daddies and Joe

1:12:10.280 --> 1:12:13.760
<v Speaker 4>Rogan's of the world, and then the newer entrants that

1:12:13.800 --> 1:12:17.599
<v Speaker 4>don't necessarily have the traction is this right now making

1:12:17.640 --> 1:12:19.519
<v Speaker 4>money as the goal for it to make money?

1:12:19.800 --> 1:12:23.280
<v Speaker 1>No, not currently, although you know, never say never. We're

1:12:23.400 --> 1:12:26.240
<v Speaker 1>very much in scrappy mode. We're really doing this from

1:12:26.240 --> 1:12:28.760
<v Speaker 1>a place that we saw a gap in the ecosystem

1:12:28.840 --> 1:12:31.160
<v Speaker 1>and if I'm gonna be a little feisty here myself.

1:12:31.200 --> 1:12:33.400
<v Speaker 1>We found one of the few areas of white space

1:12:33.520 --> 1:12:35.960
<v Speaker 1>in tech commentary, which is the we're all women. And

1:12:36.000 --> 1:12:38.200
<v Speaker 1>we felt like a lot of the biggest voices in

1:12:38.240 --> 1:12:44.040
<v Speaker 1>the tech industry were very loud, very prominent, often billionaire men,

1:12:44.080 --> 1:12:45.960
<v Speaker 1>and we thought maybe we could bring a different a

1:12:46.000 --> 1:12:46.519
<v Speaker 1>different line.

1:12:46.520 --> 1:12:48.720
<v Speaker 4>You're not saying any names, but I know, I think

1:12:48.760 --> 1:12:49.960
<v Speaker 4>I know who you're talking about.

1:12:50.040 --> 1:12:52.320
<v Speaker 7>There may be a podcast. It's a group of four.

1:12:52.120 --> 1:12:54.120
<v Speaker 1>Men who are very loud.

1:12:54.200 --> 1:12:57.920
<v Speaker 4>As I did watch Me Loud on HBO.

1:12:57.960 --> 1:12:59.960
<v Speaker 5>I don't know if you watch Mountainhead on HBO.

1:13:00.360 --> 1:13:03.000
<v Speaker 1>Just onto fun fact, I worked for one of those

1:13:03.800 --> 1:13:05.439
<v Speaker 1>podcast hosts back in the day.

1:13:05.560 --> 1:13:05.920
<v Speaker 3>What did you.

1:13:07.600 --> 1:13:07.960
<v Speaker 7>Well?

1:13:08.160 --> 1:13:10.800
<v Speaker 1>I learned the power of narrative and the stories we

1:13:10.920 --> 1:13:14.439
<v Speaker 1>tell each other and ourselves about our industry determine who

1:13:14.479 --> 1:13:16.760
<v Speaker 1>gets funded, who gets the benefit of doubt, where top

1:13:16.760 --> 1:13:18.679
<v Speaker 1>talent goes, and this stuff really matters.

1:13:18.800 --> 1:13:21.080
<v Speaker 6>But it's so indicative of how many conversations have we

1:13:21.120 --> 1:13:25.200
<v Speaker 6>had about women in tech, but and specifically female founded

1:13:25.360 --> 1:13:30.080
<v Speaker 6>companies just fighting for capital and to get recognized. Why

1:13:30.120 --> 1:13:32.160
<v Speaker 6>is that still a problem and how can you guys

1:13:32.520 --> 1:13:33.840
<v Speaker 6>use your format in your.

1:13:33.760 --> 1:13:37.120
<v Speaker 7>Platform to maybe help that. Yeah, and also as venture

1:13:37.439 --> 1:13:38.679
<v Speaker 7>capitalists in your own right.

1:13:38.640 --> 1:13:41.120
<v Speaker 1>Totally, And I mean I'm an emerging fund manager myself.

1:13:41.160 --> 1:13:44.240
<v Speaker 1>I have to raise money for my fund, and so

1:13:44.280 --> 1:13:48.479
<v Speaker 1>it's very much a thing, listen. I think just having

1:13:48.520 --> 1:13:52.599
<v Speaker 1>examples of people who are maybe underrepresented, who are visible,

1:13:52.600 --> 1:13:54.760
<v Speaker 1>who are doing the thing and putting ourselves out there.

1:13:55.160 --> 1:13:58.360
<v Speaker 1>I mean, we're very much in this like anti DEI era,

1:13:59.400 --> 1:14:03.160
<v Speaker 1>which which comes with both I think some negative implications

1:14:03.200 --> 1:14:07.400
<v Speaker 1>for how people and are focusing their time and efforts.

1:14:07.439 --> 1:14:10.439
<v Speaker 1>But at the end of the day, you know, we

1:14:10.479 --> 1:14:13.080
<v Speaker 1>all get to put our chips on the table and

1:14:13.479 --> 1:14:16.240
<v Speaker 1>build things ourselves and elevate other people who are doing it.

1:14:16.400 --> 1:14:19.559
<v Speaker 6>Actually, just push back against EO, push back against women,

1:14:19.880 --> 1:14:22.280
<v Speaker 6>push back against anyone who maybe isn't just a.

1:14:22.200 --> 1:14:24.320
<v Speaker 7>White male born in America. That's kind of how it

1:14:24.320 --> 1:14:25.000
<v Speaker 7>feels right now.

1:14:25.120 --> 1:14:29.360
<v Speaker 6>Yeah, with your platform, are you afraid to speak out

1:14:29.560 --> 1:14:31.560
<v Speaker 6>against that. I mean, because I think there is a

1:14:31.640 --> 1:14:35.000
<v Speaker 6>lot of fear among leaders about you know, the White

1:14:35.000 --> 1:14:35.559
<v Speaker 6>House eater.

1:14:35.680 --> 1:14:38.000
<v Speaker 7>Hearing something and not liking it. So tell me about that,

1:14:38.120 --> 1:14:40.240
<v Speaker 7>and how does it make it also harder for you

1:14:40.280 --> 1:14:41.480
<v Speaker 7>guys to raise money?

1:14:41.600 --> 1:14:45.640
<v Speaker 1>Yeah, I mean I am at a small fund. Yeah,

1:14:45.680 --> 1:14:49.880
<v Speaker 1>And so I'm not too worried about President Trump watching

1:14:49.880 --> 1:14:52.960
<v Speaker 1>this interview and coming at me and listen. I think

1:14:53.000 --> 1:14:54.360
<v Speaker 1>at the end of the day, my job as an

1:14:54.360 --> 1:14:58.200
<v Speaker 1>investor is to fund the very best founders I can find.

1:14:58.240 --> 1:15:01.439
<v Speaker 1>I do super early stage investing really is a bet

1:15:01.479 --> 1:15:04.400
<v Speaker 1>on the founder. I don't have a diversity mandate. We

1:15:04.479 --> 1:15:07.840
<v Speaker 1>never have a coalition, but we have very diverse networks,

1:15:08.080 --> 1:15:09.800
<v Speaker 1>the diverse pipeline of deals, and so we have a

1:15:09.840 --> 1:15:12.720
<v Speaker 1>diverse portfolio. And in an ideal world, that's how it

1:15:12.760 --> 1:15:16.960
<v Speaker 1>works in my opinion, right, versus having to have dedicated programs,

1:15:17.320 --> 1:15:21.120
<v Speaker 1>specifics leaves of dollars going to you know, early stage

1:15:21.120 --> 1:15:25.519
<v Speaker 1>fund founders. I think that you know, as the venture

1:15:25.560 --> 1:15:28.639
<v Speaker 1>eco system diversit sized the pool of founders who get

1:15:28.640 --> 1:15:29.760
<v Speaker 1>capital of diversities.

1:15:30.400 --> 1:15:33.960
<v Speaker 4>Ashley, before we let you go curious about what's exciting

1:15:34.000 --> 1:15:36.920
<v Speaker 4>to you out there, we're not an ecosystem in technology

1:15:36.920 --> 1:15:39.960
<v Speaker 4>where venture capitalists are throwing money at, like you know,

1:15:40.400 --> 1:15:43.000
<v Speaker 4>at based games or food delivery apps or that sort

1:15:43.040 --> 1:15:44.960
<v Speaker 4>of thing. Right now, a lot of it's going into robotics,

1:15:44.960 --> 1:15:46.040
<v Speaker 4>a lot of it's going into AI.

1:15:47.000 --> 1:15:49.559
<v Speaker 5>Where are you seeing the money go well, I mean.

1:15:50.160 --> 1:15:52.080
<v Speaker 1>Excited about a lot of the macro trends that other

1:15:52.120 --> 1:15:54.920
<v Speaker 1>people are. I have a partner who is actively building

1:15:54.920 --> 1:15:57.600
<v Speaker 1>a company in the AI space called trib Ai. We

1:15:57.640 --> 1:16:00.960
<v Speaker 1>see incredible aideal flow from her, and she so sort

1:16:00.960 --> 1:16:02.960
<v Speaker 1>of really has a real time pulse on what the

1:16:02.960 --> 1:16:06.559
<v Speaker 1>biggest AI platforms are doing, how enterprises are adopting. I

1:16:06.600 --> 1:16:09.439
<v Speaker 1>have another platfor partner who runs city Block Health, which

1:16:09.520 --> 1:16:13.840
<v Speaker 1>is a massive healthcare startup. We're seeing incredible breakthroughs in

1:16:13.880 --> 1:16:17.160
<v Speaker 1>the healthcare ecosystem, especially the intersection of health and AI.

1:16:17.680 --> 1:16:19.559
<v Speaker 1>But at the highest level, I think there's never been

1:16:19.560 --> 1:16:23.000
<v Speaker 1>a better time to be an emerging investor and an

1:16:23.040 --> 1:16:26.519
<v Speaker 1>early stage investor because so many things are changing about

1:16:26.520 --> 1:16:30.160
<v Speaker 1>the world. Right from a technological perspective, a platform shift

1:16:30.200 --> 1:16:34.280
<v Speaker 1>is really changing everything. From a regulatory perspective, I mean,

1:16:34.320 --> 1:16:36.280
<v Speaker 1>it's a little bit of a wild West, but change

1:16:36.320 --> 1:16:39.680
<v Speaker 1>is generally good. For early stage startups. Culturally and from

1:16:39.720 --> 1:16:43.040
<v Speaker 1>a media perspective, the way startups build their brands, go

1:16:43.080 --> 1:16:46.360
<v Speaker 1>to market, find their customers is changing, and so that

1:16:46.520 --> 1:16:47.759
<v Speaker 1>for me is so exciting.

1:16:47.800 --> 1:16:48.959
<v Speaker 7>These moments of change.

1:16:48.720 --> 1:16:50.519
<v Speaker 1>Ore where the most opportunity comes from.

1:16:50.680 --> 1:16:53.640
<v Speaker 4>That's actually my co host of the Great Chat podcast,

1:16:53.880 --> 1:16:54.160
<v Speaker 4>and that.

1:16:54.160 --> 1:16:56.479
<v Speaker 6>Does it for this special edition of Bloomberg Business Week,

1:16:56.520 --> 1:16:59.439
<v Speaker 6>focusing on our favorite conversations from the Bloomberg Tech Summit

1:16:59.600 --> 1:17:01.160
<v Speaker 6>this past week in San Francisco.

1:17:01.800 --> 1:17:07.160
<v Speaker 2>This is the Bloomberg Business Week Daily podcast, available on Apple, Spotify,

1:17:07.280 --> 1:17:11.000
<v Speaker 2>and anywhere else you get your podcasts. Listen live weekday

1:17:11.040 --> 1:17:15.040
<v Speaker 2>afternoons from two to five pm Eastern on Bloomberg dot com,

1:17:15.080 --> 1:17:19.000
<v Speaker 2>the iHeartRadio app, tune In, and the Bloomberg Business App.

1:17:19.200 --> 1:17:22.120
<v Speaker 2>You can also watch us live every weekday on YouTube

1:17:22.200 --> 1:17:24.360
<v Speaker 2>and always on the Bloomberg terminal