WEBVTT - Hot CPI Print and Lyft Earnings

0:00:01.639 --> 0:00:05.960
<v Speaker 1>From Marhard where Innovation, Money and power Collie in Silicon

0:00:06.040 --> 0:00:06.920
<v Speaker 1>Vallet NBN.

0:00:07.280 --> 0:00:11.320
<v Speaker 2>This is Bloomberg Technology with Caroline Hyde and Ed Ludlow.

0:00:25.040 --> 0:00:27.880
<v Speaker 3>I'm Caroline Heinder Blomberg's world headquarters in New York, and

0:00:27.920 --> 0:00:29.480
<v Speaker 3>I met Lovelow in San Francisco.

0:00:29.680 --> 0:00:31.600
<v Speaker 4>This is Bloomberg Technology.

0:00:31.080 --> 0:00:34.000
<v Speaker 3>Coming up US inflation it tops forecast in a blow

0:00:34.040 --> 0:00:36.600
<v Speaker 3>to rate cut hopes. We'll discuss the implication of high

0:00:36.640 --> 0:00:38.360
<v Speaker 3>for longer rates on the tech sector.

0:00:38.960 --> 0:00:41.720
<v Speaker 2>Plus we'll dive into the names reporting tonight after the

0:00:41.760 --> 0:00:43.640
<v Speaker 2>bell and get a read on the health of the

0:00:43.760 --> 0:00:44.720
<v Speaker 2>gig economy.

0:00:45.080 --> 0:00:46.440
<v Speaker 5>And we'll get an outlook for crypto.

0:00:46.600 --> 0:00:49.879
<v Speaker 3>That's as bitcoin drops, having hit fifty thousand dollars for

0:00:49.880 --> 0:00:52.479
<v Speaker 3>the first time in two years. All that and so

0:00:52.680 --> 0:00:55.000
<v Speaker 3>much more coming up. First we check on in the

0:00:55.040 --> 0:00:59.000
<v Speaker 3>macro picture today is dictated by that hotter than anticipated

0:00:59.040 --> 0:01:02.320
<v Speaker 3>CPI print, which which means well, the market now anticipates

0:01:02.400 --> 0:01:05.119
<v Speaker 3>rate cuts not happening until at least July, you let

0:01:05.160 --> 0:01:08.080
<v Speaker 3>alone March that we'd previously been anticipating. Look, it is

0:01:08.560 --> 0:01:10.960
<v Speaker 3>not therefore to those rate cut views and the S

0:01:11.000 --> 0:01:12.960
<v Speaker 3>and P five hundred falls off that all important five

0:01:13.000 --> 0:01:15.160
<v Speaker 3>thousand level that we do only just hit on Friday,

0:01:15.400 --> 0:01:17.920
<v Speaker 3>the NASDAC under pressure then as that one hundred in particular,

0:01:17.959 --> 0:01:19.360
<v Speaker 3>one of the worst performing off by one.

0:01:19.240 --> 0:01:22.399
<v Speaker 5>Point two percent. So big tech really being squeezed at the.

0:01:22.360 --> 0:01:25.319
<v Speaker 3>Moment, and you see those boring costs absolutely leaping to

0:01:25.319 --> 0:01:27.720
<v Speaker 3>the higher side, the two year yield eclipsing the high

0:01:27.720 --> 0:01:29.800
<v Speaker 3>since we've seen back in December when the FED did

0:01:29.840 --> 0:01:32.440
<v Speaker 3>pivot and really make the market think we were going

0:01:32.520 --> 0:01:34.800
<v Speaker 3>to see some rate cuts coming in twenty twenty four,

0:01:34.800 --> 0:01:37.760
<v Speaker 3>we're currently up by some thirteen basis points in ed.

0:01:37.760 --> 0:01:39.480
<v Speaker 3>Before we get into the micro we want to go

0:01:39.600 --> 0:01:43.319
<v Speaker 3>broader with clear Bridge Investment senior research analysts Hillary Frish,

0:01:43.360 --> 0:01:45.840
<v Speaker 3>who can really give us a perspective of what's been

0:01:45.880 --> 0:01:49.480
<v Speaker 3>happening on a resasset basis, and ultimately we are seeing

0:01:49.520 --> 0:01:53.080
<v Speaker 3>Hillary a perspective that well, maybe rate cuts aren't happening

0:01:53.120 --> 0:01:54.680
<v Speaker 3>and what that means in terms of all the bets

0:01:54.680 --> 0:01:58.400
<v Speaker 3>and the valuations ultimately they've been seen in big tech names.

0:01:58.520 --> 0:02:03.440
<v Speaker 3>Do you think it's the right time to be such.

0:02:01.640 --> 0:02:04.320
<v Speaker 6>A good question, Caroline, Thank you, it's terrific being here.

0:02:05.160 --> 0:02:07.960
<v Speaker 5>It's we've had.

0:02:07.880 --> 0:02:11.239
<v Speaker 6>Such a great run in technology and a relative relatively

0:02:11.280 --> 0:02:13.640
<v Speaker 6>short period of time, and going into today's print, I

0:02:13.720 --> 0:02:17.919
<v Speaker 6>was thinking that we're already entering a seasonally weaker part

0:02:17.960 --> 0:02:22.400
<v Speaker 6>of the year. Now the tenures CPI is looking hotter,

0:02:22.919 --> 0:02:26.720
<v Speaker 6>and also the US dollars up, so we can and

0:02:26.919 --> 0:02:30.799
<v Speaker 6>absolutely likely will have some sell off at some period

0:02:30.840 --> 0:02:33.200
<v Speaker 6>of time. I think at a minimum, we should have

0:02:33.240 --> 0:02:37.520
<v Speaker 6>some consolidation, some digestion. That said, I'm about as bullish

0:02:37.560 --> 0:02:39.600
<v Speaker 6>as I can be on the intermediate to long term.

0:02:39.639 --> 0:02:42.600
<v Speaker 6>I'm not sure who was expecting rate cuts to really

0:02:42.600 --> 0:02:45.520
<v Speaker 6>take place in March at this point given the Fed speak,

0:02:45.639 --> 0:02:49.239
<v Speaker 6>and then finally the pain trade has really felt up

0:02:49.480 --> 0:02:52.000
<v Speaker 6>not down. Today could change that. I think if we

0:02:52.080 --> 0:02:54.720
<v Speaker 6>get to a four and a half percent level on

0:02:54.760 --> 0:02:58.120
<v Speaker 6>the tenure, that's an important point of demarcation psychologically and

0:02:58.160 --> 0:02:59.239
<v Speaker 6>also for valuations.

0:02:59.480 --> 0:03:02.440
<v Speaker 3>What was in thing is basically how all in investors

0:03:02.440 --> 0:03:04.640
<v Speaker 3>seem to have been going in tech stocks, particularly at

0:03:04.639 --> 0:03:06.280
<v Speaker 3>the end of last week. Bank of America, as they

0:03:06.280 --> 0:03:09.360
<v Speaker 3>always do, really dictating the flows that they've been seeing,

0:03:09.680 --> 0:03:12.040
<v Speaker 3>and the fact that basically everyone has gone along this

0:03:12.080 --> 0:03:12.800
<v Speaker 3>particular sector.

0:03:12.840 --> 0:03:14.520
<v Speaker 5>Are we just seeing too much of a crowded trade

0:03:14.520 --> 0:03:15.280
<v Speaker 5>at the moment.

0:03:15.800 --> 0:03:18.600
<v Speaker 6>We're seeing some crowding. We're seeing some signs of exuberance,

0:03:18.600 --> 0:03:20.440
<v Speaker 6>but I think what we also saw was the fact

0:03:20.440 --> 0:03:23.959
<v Speaker 6>that investors were really off sides for this move heading

0:03:24.000 --> 0:03:27.840
<v Speaker 6>into it. There wasn't enough participation. We were seeing some chasing. Absolutely,

0:03:28.160 --> 0:03:30.799
<v Speaker 6>I wouldn't call it abject crowding, but I would say

0:03:30.840 --> 0:03:34.640
<v Speaker 6>that last year was a year of reset and also

0:03:34.720 --> 0:03:37.960
<v Speaker 6>profitability improvements. We saw six hundred basis points of profitability

0:03:37.960 --> 0:03:40.760
<v Speaker 6>improvement across software in particular, five hundred to six hundred.

0:03:40.960 --> 0:03:43.920
<v Speaker 6>That was pretty impressive in a dicceleration year, and this

0:03:44.080 --> 0:03:48.120
<v Speaker 6>year should actually be a year of revenue reacceleration, although

0:03:48.160 --> 0:03:50.640
<v Speaker 6>SQL if the economy doesn't absolutely fall apart, which doesn't

0:03:50.680 --> 0:03:54.720
<v Speaker 6>look like it. So I think investors are willing to

0:03:54.800 --> 0:03:57.280
<v Speaker 6>anticipate some of that. We're seeing some signs they're willing

0:03:57.360 --> 0:03:59.240
<v Speaker 6>to look out a little bit. We'll see how they

0:03:59.240 --> 0:03:59.880
<v Speaker 6>feel in the spring.

0:04:01.680 --> 0:04:02.040
<v Speaker 4>Hary.

0:04:02.360 --> 0:04:04.960
<v Speaker 2>The root of that Boa survey that Caro is talking

0:04:04.960 --> 0:04:09.000
<v Speaker 2>about is just optimism about global growth, right earnings in

0:04:09.040 --> 0:04:11.480
<v Speaker 2>the context of a strong global economy. This is what

0:04:11.520 --> 0:04:14.160
<v Speaker 2>Aaron Brown and PIMCO told the show earlier today.

0:04:14.200 --> 0:04:17.880
<v Speaker 7>This is this you're still seeing this market where you

0:04:17.960 --> 0:04:20.800
<v Speaker 7>have one sector like the tech sector, which is up

0:04:20.800 --> 0:04:24.160
<v Speaker 7>forty percent, and you have another sector like healthcare, which

0:04:24.200 --> 0:04:27.479
<v Speaker 7>delivered earnings down twenty percent. It's a huge bifurcation in

0:04:27.520 --> 0:04:30.039
<v Speaker 7>the market right now, and I think that that really

0:04:30.080 --> 0:04:33.560
<v Speaker 7>presents a lot of opportunity for equity investors.

0:04:34.640 --> 0:04:38.080
<v Speaker 2>A huge bifurcation. Who even cares about inflation? Just go

0:04:38.160 --> 0:04:40.360
<v Speaker 2>with the tech sector? Is that your attitude?

0:04:41.120 --> 0:04:43.479
<v Speaker 6>Oh, I think you have to care about inflation to

0:04:43.920 --> 0:04:46.040
<v Speaker 6>a degree. And again above four and a half percent,

0:04:46.200 --> 0:04:49.680
<v Speaker 6>you start to see some incremental concern over technology.

0:04:49.720 --> 0:04:50.000
<v Speaker 8>For sure.

0:04:50.040 --> 0:04:53.800
<v Speaker 6>It's a terrific point by Aaron. I think if we

0:04:54.320 --> 0:04:57.120
<v Speaker 6>see a real broadening out of the economy, and yes

0:04:57.120 --> 0:05:01.240
<v Speaker 6>we've seen some sectors absolutely annihilated, those representrificpportunities. We think

0:05:01.279 --> 0:05:05.360
<v Speaker 6>that as a firm at Clearbridge, I personally also tend

0:05:05.400 --> 0:05:08.040
<v Speaker 6>to believe that as we move further through time toward

0:05:08.080 --> 0:05:10.560
<v Speaker 6>the second half of this year, where I think we

0:05:10.640 --> 0:05:14.599
<v Speaker 6>will see a point of inflection in technology, in part

0:05:14.680 --> 0:05:18.240
<v Speaker 6>driven by AI, in part driven by initiatives around AI,

0:05:18.800 --> 0:05:22.640
<v Speaker 6>you will also see tech do well ultimately, but tech

0:05:22.680 --> 0:05:24.400
<v Speaker 6>will have to tread water for a period of time

0:05:24.440 --> 0:05:27.119
<v Speaker 6>to the extent that either the tenure continues to rise,

0:05:27.400 --> 0:05:30.600
<v Speaker 6>or the economy the market broadens out to other sectors.

0:05:30.640 --> 0:05:33.600
<v Speaker 6>So I think we're I don't know that we have

0:05:33.680 --> 0:05:36.280
<v Speaker 6>to ultimately have an either or, although we might have

0:05:36.320 --> 0:05:37.720
<v Speaker 6>one on an interim basis.

0:05:38.480 --> 0:05:40.120
<v Speaker 4>You go back to economics one oh one.

0:05:40.279 --> 0:05:44.720
<v Speaker 2>The idea simply is that the FED uses rates and

0:05:44.839 --> 0:05:50.280
<v Speaker 2>higher rates to dampen demand, right impact consumption. In a minute,

0:05:50.400 --> 0:05:51.720
<v Speaker 2>Karen and I are going to go deep on some

0:05:51.760 --> 0:05:54.000
<v Speaker 2>of the gig economy companies. If you look at Uber

0:05:54.160 --> 0:05:59.080
<v Speaker 2>last week, there is no evidence that consumer demand really

0:05:59.440 --> 0:06:03.279
<v Speaker 2>or corporate command is slowing down. So it puts into

0:06:03.320 --> 0:06:05.960
<v Speaker 2>questionable what was the point of having higher rates? Right

0:06:06.000 --> 0:06:08.720
<v Speaker 2>if that is the only mechanism available to them, What

0:06:08.720 --> 0:06:10.000
<v Speaker 2>do you make of that thesis?

0:06:10.520 --> 0:06:13.880
<v Speaker 6>Well, it's not the only mechanism available to them, and

0:06:13.920 --> 0:06:15.919
<v Speaker 6>we're going to see liquidity coming out of the market

0:06:15.960 --> 0:06:19.080
<v Speaker 6>over time. It could be a lag. It certainly was

0:06:19.080 --> 0:06:23.320
<v Speaker 6>a hotter print. We're not at five percent. Five percent

0:06:23.320 --> 0:06:26.760
<v Speaker 6>would be another story, but we'll see how things trend

0:06:26.760 --> 0:06:27.520
<v Speaker 6>in the coming months.

0:06:28.000 --> 0:06:30.880
<v Speaker 3>What I'm interested in is some of your individual companies

0:06:30.880 --> 0:06:33.720
<v Speaker 3>that you call out, where you see the opportunities perhaps

0:06:33.720 --> 0:06:36.800
<v Speaker 3>in this pullback to be putting more into like Microsoft,

0:06:37.120 --> 0:06:41.280
<v Speaker 3>like Salesforce, Oracle. What is this a moment to think

0:06:41.320 --> 0:06:44.720
<v Speaker 3>about corporate spending rather than perhaps consumer spending, which we

0:06:44.760 --> 0:06:46.719
<v Speaker 3>are worried about, particularly if we start to see more job.

0:06:46.600 --> 0:06:47.560
<v Speaker 5>Losses in the back of AI.

0:06:47.920 --> 0:06:51.599
<v Speaker 6>Absolutely well, what I do like about technology in general

0:06:51.680 --> 0:06:54.400
<v Speaker 6>is that I think we went through many recessions last year.

0:06:54.640 --> 0:06:57.560
<v Speaker 6>Last year companies were concerned about recession. They were laying

0:06:57.560 --> 0:06:59.600
<v Speaker 6>off people, they were optimizing costs, they went on a

0:06:59.640 --> 0:07:03.039
<v Speaker 6>buyer's strike. This year, there's an imperative to spend. Even

0:07:03.080 --> 0:07:05.680
<v Speaker 6>if you're not spending directly in AI, you need to

0:07:06.160 --> 0:07:08.640
<v Speaker 6>lay the foundation to be able to leverage AI. So

0:07:08.720 --> 0:07:13.320
<v Speaker 6>that's a lot of data related investments, harmonization, getting data

0:07:13.320 --> 0:07:16.120
<v Speaker 6>in order, it's a lot of infrastructure investment. It's migration

0:07:16.240 --> 0:07:20.240
<v Speaker 6>of the cloud. You're starting to see the signs of that. Interestingly,

0:07:20.440 --> 0:07:23.760
<v Speaker 6>Data Dog a consumption name and consumption names tend to

0:07:23.880 --> 0:07:26.960
<v Speaker 6>lead reported this morning they report in a much better number.

0:07:26.960 --> 0:07:31.000
<v Speaker 6>They reported slight acceleration. They guide it extraordinarily conservatively in

0:07:31.000 --> 0:07:35.200
<v Speaker 6>my view, and rightly so. But nonetheless, the stock is

0:07:35.240 --> 0:07:37.520
<v Speaker 6>actually down less than the NASDAK I think less than

0:07:37.560 --> 0:07:40.400
<v Speaker 6>the SMP and I think it's because investors can see

0:07:40.400 --> 0:07:43.200
<v Speaker 6>the signs of this improvement, the signs of this need

0:07:43.240 --> 0:07:47.040
<v Speaker 6>to spend. So if the economy again, if we see

0:07:47.320 --> 0:07:50.920
<v Speaker 6>outsized layoffs, that will be more of an issue. So far,

0:07:51.040 --> 0:07:52.040
<v Speaker 6>we're seeing the opposite.

0:07:52.280 --> 0:07:54.559
<v Speaker 5>At dieta dog now down by one point two percent.

0:07:54.600 --> 0:07:57.160
<v Speaker 3>It was off more than six percent at one point,

0:07:57.160 --> 0:07:59.640
<v Speaker 3>but that needs at reaction, just pushing it back off

0:07:59.640 --> 0:08:00.600
<v Speaker 3>to the and traded.

0:08:01.760 --> 0:08:01.960
<v Speaker 4>Yeah.

0:08:01.960 --> 0:08:04.160
<v Speaker 2>I think one final question I've got for Hillary is, Okay,

0:08:04.200 --> 0:08:06.600
<v Speaker 2>we know the AI story, we know about inflation, and

0:08:06.640 --> 0:08:06.920
<v Speaker 2>we know.

0:08:06.880 --> 0:08:07.520
<v Speaker 4>About the FED.

0:08:07.760 --> 0:08:09.760
<v Speaker 2>How much of a wild card is the election this

0:08:09.880 --> 0:08:11.480
<v Speaker 2>year for the technology sector?

0:08:13.160 --> 0:08:13.320
<v Speaker 5>Hm?

0:08:13.960 --> 0:08:16.680
<v Speaker 6>Well, I have to imagine it's a bit of a

0:08:16.680 --> 0:08:22.200
<v Speaker 6>wildcarde it was last time Trump was on the ballot,

0:08:22.680 --> 0:08:25.320
<v Speaker 6>but it frankly will get closer. But it feels like

0:08:25.360 --> 0:08:27.320
<v Speaker 6>an autrinity from now when I think about how these

0:08:27.360 --> 0:08:30.040
<v Speaker 6>tech stocks moved here to day. So I'll look forward

0:08:30.040 --> 0:08:31.400
<v Speaker 6>to coming on and discussing that with you.

0:08:31.480 --> 0:08:33.720
<v Speaker 4>Vn Ed all right, we'll hit you up on that.

0:08:33.840 --> 0:08:37.680
<v Speaker 2>Hillary Fish of Clearbridge Investments, great analysis of the macro picture.

0:08:37.720 --> 0:08:41.000
<v Speaker 4>Thank you. Let's go from what is the macro to

0:08:41.080 --> 0:08:41.480
<v Speaker 4>the micro?

0:08:41.559 --> 0:08:43.000
<v Speaker 2>There's a lot of stories that are happening in the

0:08:43.080 --> 0:08:44.800
<v Speaker 2>ernies context. One of the things I wrote about at

0:08:44.800 --> 0:08:46.520
<v Speaker 2>the beginning of the week in the Tech Daily news

0:08:46.600 --> 0:08:47.800
<v Speaker 2>letter was the gig economy.

0:08:48.120 --> 0:08:49.520
<v Speaker 4>Uber had a blowout quarter.

0:08:49.960 --> 0:08:52.720
<v Speaker 2>Now its competitors are up next, Lift down three percent

0:08:52.880 --> 0:08:55.360
<v Speaker 2>earnings today after the bell Airbnb.

0:08:54.920 --> 0:08:57.320
<v Speaker 4>As well later in the Weekdoor Dash. What do we

0:08:57.360 --> 0:08:58.520
<v Speaker 4>actually know about the.

0:08:58.480 --> 0:09:01.320
<v Speaker 2>Demand side for the gig economy but also the supply side.

0:09:01.360 --> 0:09:04.400
<v Speaker 2>Let's go to Bloomberg's Natalie Lung who covers this feat

0:09:04.600 --> 0:09:07.960
<v Speaker 2>for Bloomberg Technology. Uber really set the bar high, right

0:09:08.080 --> 0:09:10.960
<v Speaker 2>because Lift lives in their shadows. So let's start there.

0:09:11.160 --> 0:09:13.880
<v Speaker 2>What are you expecting this week from Lyft for Lift?

0:09:14.040 --> 0:09:18.080
<v Speaker 9>Yes, as you mentioned, they're kind of in a tough

0:09:18.160 --> 0:09:21.240
<v Speaker 9>spot in comparison to Uber, who has the scale of

0:09:21.360 --> 0:09:25.960
<v Speaker 9>international markets and as well as scale in other verticals

0:09:26.000 --> 0:09:32.240
<v Speaker 9>like delivery and advertising. So for Lift, their performance, based

0:09:32.280 --> 0:09:36.280
<v Speaker 9>on analyst estimates pretty conservative. Some analysts say they could

0:09:36.360 --> 0:09:39.680
<v Speaker 9>deliver a beat, But then the concern is also like

0:09:39.760 --> 0:09:43.959
<v Speaker 9>how much can they balance in terms of offering incentives

0:09:43.960 --> 0:09:47.160
<v Speaker 9>to get more drivers get more drivers over from Uber,

0:09:47.440 --> 0:09:52.120
<v Speaker 9>and how much subsidies and that sense and so, and

0:09:52.360 --> 0:09:56.680
<v Speaker 9>especially because they announced like a seventy percent pay guarantee

0:09:56.760 --> 0:10:01.480
<v Speaker 9>last week to sort of more drivers onto the platform

0:10:01.520 --> 0:10:06.760
<v Speaker 9>and other features like a better response on deactivation account deactivations,

0:10:06.960 --> 0:10:10.640
<v Speaker 9>and so the conversation will be around how much can

0:10:10.679 --> 0:10:13.960
<v Speaker 9>you do that and not like eat into the margins.

0:10:14.360 --> 0:10:17.040
<v Speaker 3>Let's talk about margins when it comes to food delivery

0:10:17.600 --> 0:10:21.320
<v Speaker 3>in Siicar, we're anticipating this is one of the most

0:10:21.360 --> 0:10:24.040
<v Speaker 3>shortened stocks out there at the moment. I think forty

0:10:24.080 --> 0:10:26.719
<v Speaker 3>percent of the free flowt is currently being better against

0:10:27.040 --> 0:10:28.000
<v Speaker 3>one of the worries here.

0:10:28.520 --> 0:10:28.679
<v Speaker 7>Right.

0:10:28.840 --> 0:10:33.640
<v Speaker 9>It's definitely again around the competition. So Uber door Dash

0:10:33.760 --> 0:10:38.160
<v Speaker 9>they have they have not only just grocer delivery, they

0:10:38.240 --> 0:10:41.960
<v Speaker 9>also the majority of the business is restaurant meals takeout,

0:10:42.120 --> 0:10:44.600
<v Speaker 9>and so they do have that scale there which Instacart

0:10:44.640 --> 0:10:47.959
<v Speaker 9>may be more limited right now. And also international ubers

0:10:48.240 --> 0:10:50.960
<v Speaker 9>in a lot of international markets. DoorDash is in some

0:10:51.000 --> 0:10:54.240
<v Speaker 9>parts of Europe and instacart is mostly in the US Canada.

0:10:54.280 --> 0:10:57.079
<v Speaker 9>So the growth rate there in terms of orders of

0:10:57.200 --> 0:11:00.400
<v Speaker 9>grosse transaction value will be of interest. Whether that can

0:11:01.520 --> 0:11:06.240
<v Speaker 9>reaccelerate will be definitely If Chris, it's.

0:11:06.160 --> 0:11:10.280
<v Speaker 2>The economy week lift kicking ourself after the bell this afternoon, Bloombgs,

0:11:10.360 --> 0:11:11.600
<v Speaker 2>Natalie Lung, thank you so much.

0:11:12.040 --> 0:11:12.520
<v Speaker 5>Firefly.

0:11:12.640 --> 0:11:16.079
<v Speaker 3>It's Adobe's new flagship AI product that has been seen

0:11:16.200 --> 0:11:18.040
<v Speaker 3>as perhaps a bit of a late comer to the

0:11:18.160 --> 0:11:20.480
<v Speaker 3>likes of Mid Journey in Dahli, but now the company

0:11:20.559 --> 0:11:24.479
<v Speaker 3>is banking one aspect that as competitors lack a commercially

0:11:24.600 --> 0:11:28.040
<v Speaker 3>safe data set which provides IP guards, including legal support

0:11:28.040 --> 0:11:29.360
<v Speaker 3>if anyone tries to sue them.

0:11:29.520 --> 0:11:31.679
<v Speaker 5>Let's bring in Bloombogs Brodie Ford for more on this.

0:11:31.720 --> 0:11:34.560
<v Speaker 3>And look, it's not exactly a sexy growth story to

0:11:34.600 --> 0:11:35.320
<v Speaker 3>a certain extent.

0:11:35.480 --> 0:11:37.120
<v Speaker 5>It's more about, look, we've got you.

0:11:37.360 --> 0:11:39.679
<v Speaker 3>If you're a big client and you want legal protection,

0:11:40.160 --> 0:11:40.959
<v Speaker 3>you got it with us.

0:11:42.240 --> 0:11:46.119
<v Speaker 10>Yeah, everyone knows the story of your big tech incumbent

0:11:46.400 --> 0:11:49.439
<v Speaker 10>and then this cool startup comes and smokes you. Right,

0:11:49.480 --> 0:11:52.080
<v Speaker 10>and everyone thought out what would happen with open Ai

0:11:52.800 --> 0:11:56.280
<v Speaker 10>in mid Journey with the image creations. But Anooahi has

0:11:56.280 --> 0:11:59.200
<v Speaker 10>been coming out saying you're going to get sued right

0:11:59.280 --> 0:12:02.719
<v Speaker 10>unless you us use these other guys. What's going to

0:12:02.800 --> 0:12:06.000
<v Speaker 10>happen is they sucked in images from across the Internet

0:12:06.280 --> 0:12:10.720
<v Speaker 10>with no copyright. It's a legal hazard. That's the argument.

0:12:10.760 --> 0:12:13.839
<v Speaker 10>They've made, and so they've trained their system on their

0:12:13.840 --> 0:12:16.800
<v Speaker 10>own Adobe stock, meaning that they have their own rights

0:12:16.800 --> 0:12:20.520
<v Speaker 10>to use it. Obviously, some of the creators might not

0:12:20.760 --> 0:12:24.480
<v Speaker 10>love that. There's probably still some legal dispute, but so

0:12:24.720 --> 0:12:28.640
<v Speaker 10>far this pitch appears to be working with many big corporations.

0:12:30.040 --> 0:12:32.520
<v Speaker 2>You give the example in the BusinessWeek piece of them

0:12:32.559 --> 0:12:36.960
<v Speaker 2>commissioning photographers like eighty Bucks to go out and photograph animals,

0:12:36.960 --> 0:12:39.480
<v Speaker 2>and the animals specifically are not allowed to wear clothes,

0:12:39.520 --> 0:12:42.240
<v Speaker 2>which is what fun is that. The thing that always

0:12:42.240 --> 0:12:44.760
<v Speaker 2>surprises me about Adobe, right Brodie, is that it is

0:12:44.800 --> 0:12:48.840
<v Speaker 2>in the top forty biggest publicly traded companies in the world.

0:12:49.240 --> 0:12:52.079
<v Speaker 2>And what it has in common with Microsoft is it's

0:12:52.120 --> 0:12:55.280
<v Speaker 2>got a very good track record of selling subscriptions on

0:12:55.400 --> 0:12:58.280
<v Speaker 2>software where you can get a similar tool for free

0:12:58.320 --> 0:13:01.760
<v Speaker 2>pretty much anywhere will still pay for it. So let's

0:13:01.760 --> 0:13:03.439
<v Speaker 2>go back to the intro. We said they want to

0:13:03.480 --> 0:13:07.000
<v Speaker 2>be profitable. How do they plan to make firefly profitable?

0:13:08.320 --> 0:13:12.679
<v Speaker 10>As you said, Adobe's creative cloud is very profitable. I

0:13:12.720 --> 0:13:14.240
<v Speaker 10>mean I've had people say to me it's one of

0:13:14.320 --> 0:13:19.359
<v Speaker 10>the most profitable things ever, not even just software, just products.

0:13:19.400 --> 0:13:22.600
<v Speaker 10>It is a complete cash cout and it is not

0:13:22.880 --> 0:13:25.960
<v Speaker 10>because it's the easiest to use or the cheapest, but

0:13:26.040 --> 0:13:28.600
<v Speaker 10>because it works well together. Right, if you have a

0:13:28.640 --> 0:13:34.040
<v Speaker 10>creative agency of a marketing agency, they need photo, video, audio,

0:13:34.080 --> 0:13:36.960
<v Speaker 10>it needs to work well together. And now they need AI.

0:13:37.520 --> 0:13:40.680
<v Speaker 10>And so Adobe's bet is that when they put AI

0:13:40.800 --> 0:13:43.880
<v Speaker 10>into each one of these products, into the content supply

0:13:44.040 --> 0:13:46.920
<v Speaker 10>chain as they call it, it'll work well together and

0:13:46.960 --> 0:13:49.440
<v Speaker 10>people will be willing to pay extra for it, and

0:13:49.480 --> 0:13:52.439
<v Speaker 10>more importantly, that they won't go to open AI or

0:13:52.480 --> 0:13:55.840
<v Speaker 10>mid journey and then cancel their Photoshop subscription. I mean

0:13:55.920 --> 0:13:58.360
<v Speaker 10>right now they're barely even charging for this. It's more

0:13:58.360 --> 0:14:02.559
<v Speaker 10>of a plan that stay the ecosystem.

0:14:02.520 --> 0:14:04.199
<v Speaker 4>And within Adobe.

0:14:04.240 --> 0:14:08.360
<v Speaker 2>Inside Adobe, though, there are employees and staff that are

0:14:08.400 --> 0:14:13.040
<v Speaker 2>worried about that ecosystem and the creatives that'll operate within it.

0:14:14.440 --> 0:14:14.600
<v Speaker 9>Well.

0:14:14.679 --> 0:14:17.800
<v Speaker 10>Yeah, there's a funny story we hear. We have it

0:14:17.840 --> 0:14:20.360
<v Speaker 10>in the story about you know, there's a presentation in

0:14:20.400 --> 0:14:23.920
<v Speaker 10>twenty nineteen. Someone is saying, listen, you guys, you are

0:14:24.000 --> 0:14:26.960
<v Speaker 10>going to get disrupted if you don't take this stuff seriously,

0:14:27.440 --> 0:14:31.440
<v Speaker 10>and the executives in the room being like, we're good,

0:14:32.640 --> 0:14:35.480
<v Speaker 10>They're not going to leave us, you can know. So yeah.

0:14:35.520 --> 0:14:39.160
<v Speaker 10>I mean it's a classic story a big company doesn't

0:14:39.160 --> 0:14:42.160
<v Speaker 10>invest enough in an emerging technology and gets disrupted. In

0:14:42.200 --> 0:14:45.080
<v Speaker 10>one year ago, everyone expected this to be the case

0:14:45.120 --> 0:14:48.080
<v Speaker 10>for Adobe. Today the picture is a little blurrier. I mean,

0:14:48.120 --> 0:14:51.800
<v Speaker 10>their argument has been landing, and I talked to a

0:14:51.840 --> 0:14:53.560
<v Speaker 10>lot of Wall Street types to say that the two

0:14:53.640 --> 0:14:56.080
<v Speaker 10>companies who are going to see a material uplift this

0:14:56.160 --> 0:14:59.200
<v Speaker 10>year from AI Microsoft first and then Adobe.

0:15:00.000 --> 0:15:02.080
<v Speaker 3>You see that coming from our own boombug intelligence team

0:15:02.120 --> 0:15:04.080
<v Speaker 3>members and thinking Anna Ragrana putting out a note this

0:15:04.120 --> 0:15:05.840
<v Speaker 3>morning saying it over you can see a one billion

0:15:05.880 --> 0:15:09.000
<v Speaker 3>dollar mid term generative AI lift at the moment in

0:15:09.040 --> 0:15:12.880
<v Speaker 3>terms of creative cloud, is there still any ramifications from

0:15:13.000 --> 0:15:15.200
<v Speaker 3>the big m and a deal that fell apart the Figma,

0:15:15.360 --> 0:15:19.920
<v Speaker 3>the anticipation that they've been distracted by having to go

0:15:20.000 --> 0:15:22.680
<v Speaker 3>through such legal wranglings rather than focusing in on what

0:15:22.800 --> 0:15:25.680
<v Speaker 3>is for many, you know, the new electricity when it

0:15:25.720 --> 0:15:29.960
<v Speaker 3>comes to data visa, the new way in which we're

0:15:30.040 --> 0:15:31.200
<v Speaker 3>thinking about technology.

0:15:32.040 --> 0:15:35.240
<v Speaker 10>The way most folks understand it is that Figma was

0:15:35.280 --> 0:15:39.000
<v Speaker 10>supposed to transform Adobe, and then AI was supposed to

0:15:39.040 --> 0:15:42.560
<v Speaker 10>transform Adobe. So the fact that Figma fell apart that

0:15:42.720 --> 0:15:45.320
<v Speaker 10>means AI really has to work out. I mean a

0:15:45.360 --> 0:15:48.400
<v Speaker 10>lot of their eggs are in this basket, and we

0:15:48.520 --> 0:15:51.600
<v Speaker 10>haven't even touched on the idea that this technology might

0:15:51.720 --> 0:15:54.120
<v Speaker 10>kind of disrupt their own user base, right, I mean,

0:15:54.160 --> 0:15:57.560
<v Speaker 10>millions of people pay for these tools. Are they going

0:15:57.600 --> 0:15:59.520
<v Speaker 10>to be out of work? Are they just going to

0:15:59.520 --> 0:16:01.680
<v Speaker 10>want a general images and not need to pay Adobe?

0:16:01.760 --> 0:16:04.800
<v Speaker 10>I mean, even those who are bullish on Adobe's AI

0:16:04.880 --> 0:16:08.560
<v Speaker 10>efforts see that there is some potential for this to

0:16:08.680 --> 0:16:11.960
<v Speaker 10>knock out a bit of their user base. So I mean, yeah,

0:16:12.160 --> 0:16:14.920
<v Speaker 10>now that Figma's gone, this needs to work, and it

0:16:14.920 --> 0:16:18.840
<v Speaker 10>appears to be at this moment, but there is uncertainty remaining.

0:16:20.080 --> 0:16:23.400
<v Speaker 2>In Berg's Brady Ford with the Adobe AI deep dive.

0:16:23.480 --> 0:16:24.960
<v Speaker 2>Thanks coming on the show Mate, Now coming up here

0:16:24.960 --> 0:16:28.360
<v Speaker 2>on Bloomberg Technology. Elon Musk's X looks to compete with

0:16:28.360 --> 0:16:32.000
<v Speaker 2>the likes of YouTube by adding new advertisers targeting features

0:16:32.000 --> 0:16:32.600
<v Speaker 2>to the platform.

0:16:32.600 --> 0:16:33.760
<v Speaker 4>Will bring you all those details.

0:16:33.800 --> 0:16:38.400
<v Speaker 2>Next is the company also looking to glurin creators, Karl,

0:16:38.440 --> 0:16:39.080
<v Speaker 2>what are you looking at?

0:16:39.520 --> 0:16:40.640
<v Speaker 5>I love the story that we're watching.

0:16:40.680 --> 0:16:43.200
<v Speaker 3>And this is a European company of course, ASML the

0:16:43.280 --> 0:16:44.320
<v Speaker 3>most valuable.

0:16:44.080 --> 0:16:46.680
<v Speaker 5>Tech stock in Europe. A little bit of pressure.

0:16:46.400 --> 0:16:49.120
<v Speaker 3>Today at one point, some significant pressure, a so called

0:16:49.160 --> 0:16:51.840
<v Speaker 3>fat finger. Basically an eriness trade, whether that's by a

0:16:51.880 --> 0:16:54.960
<v Speaker 3>human or an algorithm, is what many are blaming for

0:16:55.000 --> 0:16:57.280
<v Speaker 3>a seven percent plunge that we saw in the stock

0:16:57.520 --> 0:17:00.480
<v Speaker 3>at the open. Now the URINEX the overall that it's

0:17:00.560 --> 0:17:02.080
<v Speaker 3>on and said, look, that wasn't to blame.

0:17:02.080 --> 0:17:03.480
<v Speaker 5>Had no alerts that were triggered.

0:17:03.600 --> 0:17:06.560
<v Speaker 3>But now people are basically rather questioning the valuations that

0:17:06.560 --> 0:17:08.800
<v Speaker 3>we've seen, the run up that you've seen on ASML

0:17:08.920 --> 0:17:11.040
<v Speaker 3>and in SAP for example, or by two point eighther

0:17:11.040 --> 0:17:13.080
<v Speaker 3>center for the last couple of trading days. There's a

0:17:13.119 --> 0:17:24.520
<v Speaker 3>rumot technology time now for talking tech. First up Open

0:17:24.560 --> 0:17:27.119
<v Speaker 3>AI CEO Sam Altman, but he said that the UAE

0:17:27.280 --> 0:17:30.400
<v Speaker 3>could serve as the world's regulatory sandbox to test AI

0:17:30.440 --> 0:17:33.480
<v Speaker 3>technologies and then lead to spearhead global rules limiting their use.

0:17:33.800 --> 0:17:35.520
<v Speaker 5>The comments calm, of course, as Altman.

0:17:35.359 --> 0:17:37.680
<v Speaker 3>Is calling investors in the Middle East for a Semiconductor

0:17:37.680 --> 0:17:42.600
<v Speaker 3>initiative to advance AI. Meanwhile, X has won a dismissal

0:17:42.640 --> 0:17:45.400
<v Speaker 3>of claims that it conspired to supply the Saudi government

0:17:45.640 --> 0:17:49.040
<v Speaker 3>with confidential user information to identify a Sali man who

0:17:49.080 --> 0:17:51.960
<v Speaker 3>was arrested, tortured and sentenced to twenty years in prison.

0:17:52.160 --> 0:17:54.600
<v Speaker 3>That's for posting remarks critical of the government. Now, the

0:17:54.640 --> 0:17:57.080
<v Speaker 3>person in question had alleged that the social media company

0:17:57.119 --> 0:17:59.639
<v Speaker 3>conspired with the Kingdom of Saudi Arabia to violate the

0:17:59.760 --> 0:18:02.880
<v Speaker 3>rack t Influenced and Corrupt Organizations Act and the Alien

0:18:03.040 --> 0:18:04.520
<v Speaker 3>Taught Statute.

0:18:05.080 --> 0:18:07.000
<v Speaker 5>Then, in a fura monex.

0:18:06.760 --> 0:18:10.600
<v Speaker 3>Spaces, of course, Elon Musk told US Republican senators that

0:18:10.640 --> 0:18:14.360
<v Speaker 3>there is no way in hell that Russian President Vladimir Putin.

0:18:14.119 --> 0:18:15.679
<v Speaker 5>Could lose the war on Ukraine.

0:18:15.800 --> 0:18:19.040
<v Speaker 3>It was also in that space's opponents of a Senate

0:18:19.040 --> 0:18:21.919
<v Speaker 3>bill that will provide further assistance for Ukraine to continue

0:18:21.960 --> 0:18:24.720
<v Speaker 3>battling the full scale Russian invasion, and of course began

0:18:24.960 --> 0:18:25.640
<v Speaker 3>two years ago.

0:18:25.800 --> 0:18:28.600
<v Speaker 4>Ed well, let's stick with X.

0:18:28.640 --> 0:18:32.800
<v Speaker 2>Elon Musk's platform is adding you advertiser targeting features to

0:18:32.840 --> 0:18:37.199
<v Speaker 2>better entice video creators and compete against YouTube, joining us

0:18:37.200 --> 0:18:40.240
<v Speaker 2>with the details Bloomberg's Asia councin Asia. We reported this

0:18:40.359 --> 0:18:43.480
<v Speaker 2>idea back in October. Right, so, Musk and Lindy Yakarino

0:18:43.880 --> 0:18:47.400
<v Speaker 2>did their first ever join all hands in the company,

0:18:47.400 --> 0:18:50.479
<v Speaker 2>and they said, our competitor in the future is going

0:18:50.520 --> 0:18:53.200
<v Speaker 2>to be YouTube. And what's happened since October is all

0:18:53.240 --> 0:18:56.359
<v Speaker 2>of these video focused developments, and that's what you've been

0:18:56.359 --> 0:18:59.560
<v Speaker 2>writing about today exactly.

0:19:00.200 --> 0:19:02.720
<v Speaker 11>Has been pushing into video hard, as you mentioned, must

0:19:02.720 --> 0:19:05.280
<v Speaker 11>have been talking about this forever and now we're starting

0:19:05.320 --> 0:19:07.399
<v Speaker 11>to see some realization of it. So, just in the

0:19:07.480 --> 0:19:10.560
<v Speaker 11>past number of weeks, they've signed content partnerships with people

0:19:10.600 --> 0:19:13.600
<v Speaker 11>like Don Lemon, former CNN anchor, and Tulsa Gabbert, who

0:19:13.640 --> 0:19:17.199
<v Speaker 11>was the US representative and a presidential candidate. They signed

0:19:17.280 --> 0:19:19.879
<v Speaker 11>content deals with them to produce shows and put them

0:19:19.920 --> 0:19:22.439
<v Speaker 11>exclusively on X First. They did the same thing with

0:19:22.480 --> 0:19:26.439
<v Speaker 11>the World Wrestling Entertainment so WWE, and they're continuing to

0:19:26.440 --> 0:19:28.600
<v Speaker 11>push to go after creators. And now what we see

0:19:28.800 --> 0:19:31.880
<v Speaker 11>is now they're giving advertisers more control to actually put

0:19:31.920 --> 0:19:34.480
<v Speaker 11>their ads on the profile of a creator that they

0:19:34.760 --> 0:19:38.000
<v Speaker 11>like in order to generate more revenue from them and

0:19:38.119 --> 0:19:41.280
<v Speaker 11>just allow those advertisers to take advantage of the profile

0:19:41.320 --> 0:19:42.920
<v Speaker 11>and the followers that these creators are going to bring

0:19:42.920 --> 0:19:43.679
<v Speaker 11>to the platform.

0:19:43.920 --> 0:19:46.760
<v Speaker 3>And also I expose to a certain extent, would it

0:19:46.800 --> 0:19:50.199
<v Speaker 3>provide some certainty to an advertiser that I'm just putting

0:19:50.200 --> 0:19:54.439
<v Speaker 3>my brand, my name, my message via one particular content

0:19:54.480 --> 0:19:56.960
<v Speaker 3>creator rather than who knows where it ends up being.

0:19:56.840 --> 0:19:57.240
<v Speaker 5>Next to it.

0:19:58.280 --> 0:20:01.160
<v Speaker 11>Absolutely, I mean that's been a huge topic of conversation

0:20:01.240 --> 0:20:03.720
<v Speaker 11>with Exit particular. As you both know, over the past

0:20:03.880 --> 0:20:06.240
<v Speaker 11>year or so, they've dealt with a lot of content

0:20:06.280 --> 0:20:09.320
<v Speaker 11>safety issues. So we saw a bunch of advertisers leave

0:20:09.359 --> 0:20:11.159
<v Speaker 11>when they found out that their ad was next to

0:20:11.200 --> 0:20:14.960
<v Speaker 11>antisemitic content, for example, not too long ago. And so

0:20:15.560 --> 0:20:17.960
<v Speaker 11>absolutely this is another control to say, hey, I want

0:20:17.960 --> 0:20:20.800
<v Speaker 11>my advertisement to only be on a video by mister Beast,

0:20:20.880 --> 0:20:23.560
<v Speaker 11>for example, So you know you're reaching those followers. You

0:20:23.640 --> 0:20:25.479
<v Speaker 11>know that your content is going to be right in

0:20:25.480 --> 0:20:28.040
<v Speaker 11>front of their videos, so it lessens the chance that

0:20:28.080 --> 0:20:30.080
<v Speaker 11>it's going to be next to some harmful content. So

0:20:30.119 --> 0:20:32.600
<v Speaker 11>it is a little bit of an assurance for an advertiser,

0:20:32.600 --> 0:20:34.720
<v Speaker 11>So you can imagine that might be something that's attractive

0:20:34.760 --> 0:20:35.040
<v Speaker 11>to them.

0:20:35.359 --> 0:20:38.280
<v Speaker 3>As she counts all over the developments, X, we thank

0:20:38.320 --> 0:20:38.840
<v Speaker 3>you so much.

0:20:39.160 --> 0:20:41.639
<v Speaker 2>I'm also taking a look at bitcoin, and I'm sorry

0:20:41.640 --> 0:20:44.560
<v Speaker 2>to say that we've also changed direction on bitcoin. We're

0:20:44.600 --> 0:20:47.119
<v Speaker 2>lover for the first time in around eight sessions. But

0:20:47.280 --> 0:20:50.080
<v Speaker 2>over those eight sessions we posted a significant gain of

0:20:50.080 --> 0:20:53.639
<v Speaker 2>fifteen percent. We're below fifty thousand US dollars per token

0:20:53.680 --> 0:20:56.640
<v Speaker 2>as it stands, but when we did hit that milestone,

0:20:56.720 --> 0:20:58.560
<v Speaker 2>I know that all of us were very excited because

0:20:58.560 --> 0:21:01.600
<v Speaker 2>it's kind of psychological flat level of fifty thousand US

0:21:01.680 --> 0:21:02.399
<v Speaker 2>dollars be tooken.

0:21:03.280 --> 0:21:04.240
<v Speaker 5>It is a focus.

0:21:04.320 --> 0:21:07.719
<v Speaker 3>The vying of the market capitalizations is one we focus on,

0:21:07.800 --> 0:21:09.840
<v Speaker 3>and then we think about the vying when it comes

0:21:09.920 --> 0:21:12.240
<v Speaker 3>to which crypto ecosystem is really on the win. Let's

0:21:12.240 --> 0:21:14.240
<v Speaker 3>talk about all of this as to what's bringing us

0:21:14.320 --> 0:21:16.359
<v Speaker 3>up to that fifty thousand dollars level and then dragging

0:21:16.440 --> 0:21:19.679
<v Speaker 3>us back down. August co founder and Coca Aya Kontorovitch

0:21:19.760 --> 0:21:20.640
<v Speaker 3>is joining us for more.

0:21:20.680 --> 0:21:22.680
<v Speaker 5>And yes, perhaps.

0:21:22.320 --> 0:21:24.400
<v Speaker 3>The CPI print takes the wind own of its sales

0:21:24.440 --> 0:21:26.320
<v Speaker 3>a little bit like every risk I said on the day.

0:21:26.680 --> 0:21:30.120
<v Speaker 3>But what has been blowing us higher when it comes

0:21:30.119 --> 0:21:33.040
<v Speaker 3>to bitcoin? Is it ETF flows or is it something

0:21:33.040 --> 0:21:34.520
<v Speaker 3>else more fundamental that's happening.

0:21:36.640 --> 0:21:39.199
<v Speaker 12>Sure, you know, I'm sure that folks would like to

0:21:39.240 --> 0:21:40.840
<v Speaker 12>say that a part of it has to do with

0:21:40.920 --> 0:21:44.080
<v Speaker 12>Jack Dorsey wearing this SOCI shirt during the Super Bowl,

0:21:44.640 --> 0:21:47.159
<v Speaker 12>But it really is, to your point, us inflow is

0:21:47.200 --> 0:21:50.000
<v Speaker 12>coming in around the ETF We saw April and June

0:21:50.160 --> 0:21:53.280
<v Speaker 12>BTC call buyers with strekes at around seventy K to

0:21:53.280 --> 0:21:56.760
<v Speaker 12>seventy five K, which are all time high prices. We're

0:21:56.800 --> 0:21:59.040
<v Speaker 12>also seeing a lot of that narrative around the April

0:21:59.200 --> 0:22:04.600
<v Speaker 12>nineteenth coming up, and overall spot and option positions that

0:22:04.640 --> 0:22:08.399
<v Speaker 12>are really gearing up for pricing to break all time highs.

0:22:08.400 --> 0:22:11.879
<v Speaker 12>In Q two we saw BDC per futures open interest

0:22:11.920 --> 0:22:14.560
<v Speaker 12>also cross eleven billion, which is the highest ever since

0:22:14.600 --> 0:22:17.800
<v Speaker 12>December twenty twenty one. So a lot of US inflow

0:22:17.840 --> 0:22:19.480
<v Speaker 12>momentum going on right now.

0:22:20.640 --> 0:22:23.440
<v Speaker 3>I hate to always just talk about and focus obsessively

0:22:23.480 --> 0:22:26.520
<v Speaker 3>about price, but ultimately the market being dictated that we're

0:22:26.560 --> 0:22:28.280
<v Speaker 3>going to eclipse this fifty thousand is I think we're

0:22:28.280 --> 0:22:30.760
<v Speaker 3>going to eclipse to sixty nine thousand that we've seen previously.

0:22:32.560 --> 0:22:35.639
<v Speaker 12>Absolutely, it looks like, I mean again, from anywhere between

0:22:35.680 --> 0:22:37.200
<v Speaker 12>seventy k to seventy five.

0:22:37.080 --> 0:22:39.880
<v Speaker 5>K that is very, very bullish, and we really.

0:22:39.720 --> 0:22:43.240
<v Speaker 12>Haven't seen those prices historically, So yes, it does look

0:22:43.320 --> 0:22:46.520
<v Speaker 12>like we're going to eclipse those and it really does

0:22:46.560 --> 0:22:49.000
<v Speaker 12>look like that's coming from the US side. You're seeing

0:22:49.000 --> 0:22:52.840
<v Speaker 12>that reflected in coinbas BDC pricing, which was trading at

0:22:52.840 --> 0:22:56.679
<v Speaker 12>a premium to finance BDC pricing, which again reflects the

0:22:56.720 --> 0:22:59.440
<v Speaker 12>fact that you're seeing a lot of US inflow coming

0:22:59.480 --> 0:23:03.119
<v Speaker 12>in that's pushing that price higher at a premium, and

0:23:03.359 --> 0:23:07.359
<v Speaker 12>as well reflected by the ETF influence, which continues to

0:23:07.920 --> 0:23:11.200
<v Speaker 12>make that narrative strong US specifically focused.

0:23:12.119 --> 0:23:12.199
<v Speaker 9>Hi.

0:23:12.359 --> 0:23:14.600
<v Speaker 2>We were reflecting on the show yesterday that if you

0:23:14.600 --> 0:23:17.280
<v Speaker 2>think about it in really simple terms, from kind of

0:23:17.400 --> 0:23:20.200
<v Speaker 2>end of twenty two to present day, there's this kind

0:23:20.200 --> 0:23:23.560
<v Speaker 2>of minimal jump on bitcoin from forty four thousand to

0:23:23.600 --> 0:23:26.840
<v Speaker 2>forty eight thousand dollars per token, and in between all

0:23:26.920 --> 0:23:30.560
<v Speaker 2>kinds of chaos and volatility lows of fifteen thousand, five

0:23:30.680 --> 0:23:32.760
<v Speaker 2>hundred a brief peak.

0:23:33.440 --> 0:23:34.200
<v Speaker 4>But what also.

0:23:34.080 --> 0:23:37.159
<v Speaker 2>Happened in that time is that thousands of old coins

0:23:37.160 --> 0:23:40.200
<v Speaker 2>and other digital tokens just cease to exist, right they

0:23:40.280 --> 0:23:43.040
<v Speaker 2>or they become a liquid How much of this story

0:23:43.080 --> 0:23:46.520
<v Speaker 2>is about bitcoin kind of being the only stable option

0:23:46.680 --> 0:23:49.080
<v Speaker 2>if you want some exposure to a cryptocurrency.

0:23:51.600 --> 0:23:54.880
<v Speaker 12>I think it's pretty crazy that we're talking about bitcoin

0:23:54.960 --> 0:23:58.080
<v Speaker 12>now as being the stable currency, but you're even seeing

0:23:58.119 --> 0:24:01.040
<v Speaker 12>that reflected in some of the language that's is pushed out.

0:24:01.560 --> 0:24:04.240
<v Speaker 12>I would say that's very much true. However, ethereum is

0:24:04.280 --> 0:24:07.360
<v Speaker 12>still playing into that narrative. A lot of what's going

0:24:07.400 --> 0:24:10.639
<v Speaker 12>on right now is with regards to the restaking narrative

0:24:10.640 --> 0:24:13.639
<v Speaker 12>and Ethereum driven by an eigenlayer, and so you're seeing

0:24:13.720 --> 0:24:16.240
<v Speaker 12>a lot of narratives around both.

0:24:15.960 --> 0:24:17.560
<v Speaker 5>That and in Eth ETF.

0:24:18.160 --> 0:24:21.760
<v Speaker 12>Yesterday you saw that Franklin Templeton also submitted an application

0:24:21.840 --> 0:24:25.920
<v Speaker 12>for ETF, which caused a small bounce in the Eth price,

0:24:25.960 --> 0:24:28.639
<v Speaker 12>and so we're likely going to see that happening with

0:24:28.840 --> 0:24:32.280
<v Speaker 12>Eth as well. And you are seeing other applicants for

0:24:32.480 --> 0:24:36.520
<v Speaker 12>an ETF, whether it's Solana or other all coins where

0:24:36.600 --> 0:24:40.600
<v Speaker 12>that may also lead to some of that lower volatility

0:24:40.600 --> 0:24:41.840
<v Speaker 12>around those tokens as well.

0:24:42.320 --> 0:24:45.080
<v Speaker 3>You've been building for a long time, whether it's August,

0:24:45.160 --> 0:24:48.159
<v Speaker 3>whether previously you're helping thing on the founding team of Falconnects,

0:24:48.359 --> 0:24:51.080
<v Speaker 3>but also you're in the investing space and understanding what

0:24:51.119 --> 0:24:54.320
<v Speaker 3>was going on in Pantera Capital. What is the building

0:24:54.480 --> 0:24:56.679
<v Speaker 3>like right now when we think about sort of the

0:24:56.680 --> 0:24:59.199
<v Speaker 3>oxygen being sucked out the rim by the OG's a

0:24:59.200 --> 0:25:01.520
<v Speaker 3>bitcoin and eighth but still salon again and look in

0:25:01.600 --> 0:25:03.520
<v Speaker 3>some of the olt coins, what's been built from an

0:25:03.520 --> 0:25:07.160
<v Speaker 3>infrastructure layer, from adapt level, from an actual go out

0:25:07.160 --> 0:25:10.160
<v Speaker 3>there and use this in some way, shape or form.

0:25:11.240 --> 0:25:14.000
<v Speaker 12>It has never been a hotter time to build in

0:25:14.080 --> 0:25:17.520
<v Speaker 12>this space than now. You are seeing folks doubling down,

0:25:17.640 --> 0:25:20.000
<v Speaker 12>people who have been in the space for years, who

0:25:20.000 --> 0:25:23.000
<v Speaker 12>have really clarified what are the to your point, the

0:25:23.040 --> 0:25:25.919
<v Speaker 12>problems in on the infrastructure layer that need to be

0:25:26.000 --> 0:25:28.480
<v Speaker 12>solved for people to actually be able to use.

0:25:28.400 --> 0:25:29.040
<v Speaker 11>This at scale.

0:25:29.359 --> 0:25:31.520
<v Speaker 12>And so the biggest thing right now is account abstraction

0:25:31.960 --> 0:25:34.320
<v Speaker 12>being able for these applications to be used on a

0:25:34.320 --> 0:25:37.080
<v Speaker 12>front end without having to deal with all of the

0:25:37.280 --> 0:25:39.600
<v Speaker 12>interactions with the blockchain on the back end.

0:25:39.840 --> 0:25:41.120
<v Speaker 5>You know, we've been talking about that.

0:25:41.119 --> 0:25:43.600
<v Speaker 12>Narrative for years. How do you get to a point

0:25:43.640 --> 0:25:46.280
<v Speaker 12>where you can just send a transaction using a front

0:25:46.359 --> 0:25:49.160
<v Speaker 12>end UI And we are getting closer to that point. Again,

0:25:49.200 --> 0:25:52.840
<v Speaker 12>this infrastructure takes time to build, and every single day

0:25:52.840 --> 0:25:55.520
<v Speaker 12>we're getting closer to that. Like I said, it really

0:25:55.560 --> 0:25:58.000
<v Speaker 12>just hasn't been a hotter time to be a builder

0:25:58.160 --> 0:25:59.200
<v Speaker 12>in crypto than today.

0:25:59.240 --> 0:26:00.000
<v Speaker 5>So it's very exciting.

0:26:01.080 --> 0:26:04.440
<v Speaker 4>A real quick eye harving due in April. Do you care.

0:26:06.560 --> 0:26:07.200
<v Speaker 5>Absolutely?

0:26:07.400 --> 0:26:09.639
<v Speaker 12>I would say there's always a narrative around it, you know,

0:26:09.840 --> 0:26:11.800
<v Speaker 12>it's whether it's going to be by the rum or

0:26:11.840 --> 0:26:14.160
<v Speaker 12>sell the news. That's typically what we've seen to date.

0:26:14.920 --> 0:26:17.320
<v Speaker 12>But again it does take a while for the flows

0:26:17.760 --> 0:26:20.520
<v Speaker 12>to come into the ets, you know, especially on the

0:26:20.640 --> 0:26:23.240
<v Speaker 12>RIA space. So it'll be interesting to see what happens

0:26:23.240 --> 0:26:26.280
<v Speaker 12>on the retail side, what happens on the RIA side,

0:26:26.359 --> 0:26:28.240
<v Speaker 12>and if that narrative is going to be reflected with

0:26:28.400 --> 0:26:31.800
<v Speaker 12>users there. And of course Asia. We haven't seen as

0:26:31.840 --> 0:26:34.960
<v Speaker 12>much Asia inflow with all of this being historically led

0:26:35.040 --> 0:26:38.040
<v Speaker 12>right now with the US sides, so very very interesting.

0:26:38.200 --> 0:26:40.040
<v Speaker 5>And then the eth BTC ratio.

0:26:40.800 --> 0:26:44.160
<v Speaker 2>August co founder and co CEO Iakontarovitch Greats catch up

0:26:44.160 --> 0:26:46.040
<v Speaker 2>here on the program. Now, Carrie, you went out the

0:26:46.040 --> 0:26:48.560
<v Speaker 2>building in the snow this morning for a pretty important conversation.

0:26:48.920 --> 0:26:51.879
<v Speaker 3>I thought the element said for a breakfast meeting, because

0:26:52.040 --> 0:26:53.639
<v Speaker 3>I was lucky enough to be sitting down with the

0:26:53.880 --> 0:26:57.080
<v Speaker 3>Sunivation Ventures chairman and the CEO, that's Kaifoon Lee. It

0:26:57.160 --> 0:26:59.000
<v Speaker 3>was over at the Economic Club of New York and

0:26:59.440 --> 0:27:03.040
<v Speaker 3>fifty four we were chatting about what else artificial intelligence.

0:27:03.160 --> 0:27:06.080
<v Speaker 3>Of course, he's written many a book, forward thought on

0:27:06.160 --> 0:27:08.879
<v Speaker 3>many an impact, And we start the conversation by asking

0:27:09.240 --> 0:27:11.400
<v Speaker 3>if big tech companies, the ones that are still here,

0:27:11.960 --> 0:27:14.359
<v Speaker 3>can actually truly pivot to be AI first.

0:27:14.400 --> 0:27:14.960
<v Speaker 5>Take a listen.

0:27:15.880 --> 0:27:19.719
<v Speaker 13>Theoretically, they're the best equipped to do AI first because

0:27:19.840 --> 0:27:22.919
<v Speaker 13>they have the most AI experts in those two companies

0:27:23.160 --> 0:27:26.720
<v Speaker 13>if you coun't open AI in Microsoft's camp. But what

0:27:26.840 --> 0:27:30.480
<v Speaker 13>they face is a fundamental business issue of cannibalizing your

0:27:30.480 --> 0:27:31.320
<v Speaker 13>own business.

0:27:31.640 --> 0:27:32.360
<v Speaker 14>So for a.

0:27:32.359 --> 0:27:35.640
<v Speaker 13>Large company, imagine if you will your Microsoft or Google,

0:27:36.040 --> 0:27:37.919
<v Speaker 13>the first thing you're going to think to want to

0:27:37.960 --> 0:27:40.439
<v Speaker 13>do once you invent this technology is how do you

0:27:40.480 --> 0:27:41.000
<v Speaker 13>make money?

0:27:41.320 --> 0:27:43.920
<v Speaker 14>And of course Google will make the most money from

0:27:43.920 --> 0:27:44.720
<v Speaker 14>putting it in search.

0:27:45.040 --> 0:27:47.879
<v Speaker 13>Microsoft will make the most money by putting it in office,

0:27:48.280 --> 0:27:49.680
<v Speaker 13>so that will be.

0:27:49.560 --> 0:27:53.640
<v Speaker 14>The low hanging fruit. But low Microsoft.

0:27:53.000 --> 0:27:55.919
<v Speaker 13>Become a disruptor that says I'm going to build a

0:27:56.000 --> 0:27:59.600
<v Speaker 13>new engine that's AI first, that causes more people to

0:27:59.640 --> 0:28:00.520
<v Speaker 13>no longer need.

0:28:00.560 --> 0:28:02.640
<v Speaker 14>Or want to use office or pay for it.

0:28:03.720 --> 0:28:07.679
<v Speaker 13>Few companies, if any, has ever done that. Right, when

0:28:07.760 --> 0:28:11.840
<v Speaker 13>Kodak invented the digital camera, they shelfed.

0:28:11.359 --> 0:28:14.520
<v Speaker 14>It because as they think it would kill the film business.

0:28:15.080 --> 0:28:18.520
<v Speaker 13>It did, but it wasn't because of them, but other companies, right,

0:28:18.920 --> 0:28:24.520
<v Speaker 13>So the same thing happens with you, Intel not embracing mobile,

0:28:24.680 --> 0:28:26.840
<v Speaker 13>Qualcom not embracing AI, and.

0:28:26.840 --> 0:28:30.000
<v Speaker 14>The list goes on. So it's fundamentally really hard.

0:28:29.800 --> 0:28:33.119
<v Speaker 13>For a large company not to take this technology and

0:28:33.480 --> 0:28:36.320
<v Speaker 13>put it in the most best selling product to make

0:28:36.359 --> 0:28:37.760
<v Speaker 13>that easy low hang through.

0:28:38.200 --> 0:28:41.520
<v Speaker 14>And it's incredibly hard for them to build a disruptive

0:28:41.680 --> 0:28:42.720
<v Speaker 14>product that.

0:28:42.640 --> 0:28:47.000
<v Speaker 13>Will challenge, cannibalize, and potentially kill the revenue that is

0:28:47.080 --> 0:28:48.600
<v Speaker 13>currently a cash car for them.

0:28:49.520 --> 0:28:49.680
<v Speaker 9>Now.

0:28:49.680 --> 0:28:52.320
<v Speaker 3>Of course, Kai fee Lee I worked for both Microsoft

0:28:52.480 --> 0:28:55.320
<v Speaker 3>and for Google over there in China. He's been, of

0:28:55.400 --> 0:28:57.680
<v Speaker 3>course an investor, he's an author.

0:28:57.880 --> 0:28:59.160
<v Speaker 5>He's actually getting back into the.

0:28:59.080 --> 0:29:02.680
<v Speaker 3>World of building businesses and he's got his own was

0:29:02.960 --> 0:29:05.240
<v Speaker 3>one zero one dot Ai and this is all about

0:29:05.280 --> 0:29:07.719
<v Speaker 3>sort of the Chinese models that he can build in

0:29:07.840 --> 0:29:11.280
<v Speaker 3>focus is open source. And he actually said one of

0:29:11.360 --> 0:29:13.280
<v Speaker 3>his great lines when we were sitting down was he

0:29:13.320 --> 0:29:16.120
<v Speaker 3>thinks open AI should rebrand. We've heard that one before,

0:29:16.120 --> 0:29:18.080
<v Speaker 3>but he thinks it's one of those closed shops there.

0:29:18.000 --> 0:29:20.040
<v Speaker 4>Is closed AI.

0:29:20.280 --> 0:29:22.520
<v Speaker 2>I mean, he's seen as a bridge right understanding what's

0:29:22.520 --> 0:29:25.920
<v Speaker 2>happening in China's domestic efforts on AI. He knows what

0:29:25.960 --> 0:29:28.280
<v Speaker 2>the Western World is doing. But as he said, he's

0:29:28.280 --> 0:29:31.040
<v Speaker 2>going back to being a startup founder while being plugged

0:29:31.080 --> 0:29:34.880
<v Speaker 2>into the megacaps that have basically competing business models, is

0:29:34.880 --> 0:29:37.680
<v Speaker 2>what I heard. He's trying to outline here their AI

0:29:37.880 --> 0:29:40.400
<v Speaker 2>work and then their call legacy business, and.

0:29:40.360 --> 0:29:42.440
<v Speaker 3>He thinks they will be disrupted and eventually the winners

0:29:42.480 --> 0:29:44.480
<v Speaker 3>will be AI first. I have to say, I haven't

0:29:44.480 --> 0:29:47.840
<v Speaker 3>seen him quite as well worried in a long time.

0:29:47.880 --> 0:29:51.240
<v Speaker 3>He's usually an optimist, but he is concerned about the scale,

0:29:51.360 --> 0:29:54.200
<v Speaker 3>the pace at which we're innovating. But he did talk

0:29:54.240 --> 0:29:56.440
<v Speaker 3>about China, and look he phil still thinks that China

0:29:56.480 --> 0:30:00.320
<v Speaker 3>can get to an never beat us an innovation, certainly

0:30:00.360 --> 0:30:02.200
<v Speaker 3>on implementation, he thinks it can get there.

0:30:03.040 --> 0:30:04.160
<v Speaker 4>We're coming up here on the program.

0:30:04.240 --> 0:30:07.280
<v Speaker 2>We will continue to talk about AI and opportunities in

0:30:07.320 --> 0:30:10.480
<v Speaker 2>the investment space, innovation more broadly. That conversation with alic

0:30:10.560 --> 0:30:14.360
<v Speaker 2>Ross board member Amplo, Okay, I.

0:30:14.280 --> 0:30:16.600
<v Speaker 3>Just want to focus a little bit on what's happening

0:30:16.760 --> 0:30:20.760
<v Speaker 3>with IBM today because New York parents amid this snow

0:30:20.960 --> 0:30:23.520
<v Speaker 3>ed have had real tech issues basically getting their kids

0:30:23.560 --> 0:30:26.360
<v Speaker 3>to do remote schooling, and there are statements coming from

0:30:26.400 --> 0:30:28.600
<v Speaker 3>the New York City Department of Education on exiting.

0:30:28.640 --> 0:30:30.240
<v Speaker 5>We're currently experiencing issues.

0:30:29.960 --> 0:30:34.920
<v Speaker 3>With services that require IBM authentication login. We're actively working

0:30:34.960 --> 0:30:37.800
<v Speaker 3>with the IBM to resolve it and we provide an update.

0:30:37.800 --> 0:30:38.800
<v Speaker 5>And in fact they did.

0:30:38.720 --> 0:30:42.120
<v Speaker 3>Roll out some added capacity and improvements to the system.

0:30:42.200 --> 0:30:44.840
<v Speaker 3>But like every stock today, it's down by one point

0:30:44.840 --> 0:30:47.160
<v Speaker 3>one percent. Sorry to all those parents out there. This

0:30:47.240 --> 0:30:50.560
<v Speaker 3>is BLUEBG technology.

0:30:57.000 --> 0:30:58.560
<v Speaker 4>Okay, time for the VC roundup.

0:30:58.600 --> 0:31:02.800
<v Speaker 2>First up VC firm found previously called Wingman Ventures, is

0:31:02.880 --> 0:31:05.000
<v Speaker 2>raising one hundred and twenty million dollars for a new

0:31:05.080 --> 0:31:09.080
<v Speaker 2>fund to target Swiss AI and tech startups. The firm

0:31:09.120 --> 0:31:11.960
<v Speaker 2>says it's already raised eighty five million and aims to

0:31:11.960 --> 0:31:15.520
<v Speaker 2>make up the rest. By July, an AI startup Marco

0:31:15.680 --> 0:31:18.080
<v Speaker 2>raised twelve point five million dollars in a Series A

0:31:18.280 --> 0:31:22.120
<v Speaker 2>round led by Lightspeed Venture Partners, gaining funds to develop

0:31:22.160 --> 0:31:25.560
<v Speaker 2>its technology that helps companies search the vast amounts of

0:31:25.680 --> 0:31:30.320
<v Speaker 2>unstructured data in their systems. Blackbird Ventures and January Capital

0:31:30.760 --> 0:31:34.120
<v Speaker 2>also took part in the round. Plus Bioage Labs, a

0:31:34.160 --> 0:31:39.720
<v Speaker 2>clinical stage biotech company developing therapies for obesity and metabolic disease,

0:31:40.040 --> 0:31:43.200
<v Speaker 2>raised one hundred and seventy million dollars in an oversubscribed

0:31:43.480 --> 0:31:48.120
<v Speaker 2>series definancing round led by Sophenova Investments. We are going

0:31:48.200 --> 0:31:50.200
<v Speaker 2>to have the CEO and co founder of Bioage with

0:31:50.280 --> 0:31:52.320
<v Speaker 2>us later in the program, Cara.

0:31:52.640 --> 0:31:55.160
<v Speaker 3>Well, first, let's go back to sort of what Bioage

0:31:55.200 --> 0:32:00.680
<v Speaker 3>is using AI to spearhead moves forward in healthcare VC Spotlight.

0:32:00.760 --> 0:32:03.200
<v Speaker 3>We want to talk about the broader opportunities but also

0:32:03.200 --> 0:32:05.680
<v Speaker 3>the strains that AI presents the economy much much more

0:32:05.680 --> 0:32:08.160
<v Speaker 3>with alic Rossi's tech policy analyst and board member for

0:32:08.280 --> 0:32:12.280
<v Speaker 3>vcfern Amplos, also the author of the Raging twenty twenties, Companies, Countries,

0:32:12.320 --> 0:32:14.600
<v Speaker 3>People and the Fight for Our Future, and of course

0:32:14.640 --> 0:32:17.240
<v Speaker 3>he served as Senior Advisor for Innovation to the Secuary

0:32:17.240 --> 0:32:21.080
<v Speaker 3>of State during the Obama administration and Alec, we sit

0:32:21.160 --> 0:32:24.480
<v Speaker 3>here at a time of ultimate disruption. It feels like

0:32:24.640 --> 0:32:28.320
<v Speaker 3>we're thinking of companies that are all in on operational

0:32:28.320 --> 0:32:31.560
<v Speaker 3>efficiency in their earnings, but also letting go of people

0:32:31.680 --> 0:32:34.440
<v Speaker 3>at a rapid rate. We're thinking of investment in technology,

0:32:34.520 --> 0:32:37.480
<v Speaker 3>but job's ultimately going to be disrupted by this. Where

0:32:37.520 --> 0:32:41.440
<v Speaker 3>do you sit in the optimist versus personimistic side of

0:32:41.520 --> 0:32:42.320
<v Speaker 3>AI application?

0:32:43.880 --> 0:32:48.520
<v Speaker 1>I'm net positive over the medium to long term. Over

0:32:48.560 --> 0:32:50.040
<v Speaker 1>the short term, though, it's going to be a little

0:32:50.080 --> 0:32:53.480
<v Speaker 1>bit tricky, because what we see is AI enabling automation

0:32:53.600 --> 0:32:58.880
<v Speaker 1>of labor that isn't just manual and routine for cognitive.

0:32:58.640 --> 0:32:59.680
<v Speaker 4>And non routine.

0:33:00.160 --> 0:33:03.040
<v Speaker 1>Is it's wiping out a lot of jobs, the likes

0:33:03.040 --> 0:33:05.720
<v Speaker 1>of which, like my father, who is a lawyer, the

0:33:05.800 --> 0:33:09.120
<v Speaker 1>kind of work my father did as a lawyer ought

0:33:09.200 --> 0:33:12.200
<v Speaker 1>to be ninety nine percent done by software at this point.

0:33:12.440 --> 0:33:15.480
<v Speaker 1>And that's not necessarily a bad thing, but it is

0:33:15.600 --> 0:33:18.840
<v Speaker 1>a bad thing for people later in their careers who

0:33:19.200 --> 0:33:21.360
<v Speaker 1>aren't going to be able to pivot necessarily from.

0:33:21.240 --> 0:33:23.120
<v Speaker 4>A statistical standpoint.

0:33:23.160 --> 0:33:26.720
<v Speaker 1>From a statistical standpoint, it's not going to be as

0:33:26.840 --> 0:33:30.440
<v Speaker 1>bad as one might imagine the impact of AI on labor,

0:33:30.640 --> 0:33:32.480
<v Speaker 1>but over the short term we're going to see some

0:33:32.800 --> 0:33:34.640
<v Speaker 1>automation of a lot of white collar jobs.

0:33:35.480 --> 0:33:38.080
<v Speaker 2>The interesting dynamic right now, Alec, if you look at

0:33:38.160 --> 0:33:42.320
<v Speaker 2>the entirety of the newsflow, is layoffs and cost cuts

0:33:42.320 --> 0:33:45.680
<v Speaker 2>at bigger companies are in part being carried out to

0:33:45.800 --> 0:33:51.360
<v Speaker 2>free up funds to invest in AI. Ironically, is the

0:33:51.480 --> 0:33:54.400
<v Speaker 2>earliest stage ecosystem of all these startups that say we're

0:33:54.480 --> 0:33:58.600
<v Speaker 2>using AI to automate or make more efficient specific function

0:33:59.320 --> 0:34:02.960
<v Speaker 2>feel any of that, you know, the reallocation of capital

0:34:03.040 --> 0:34:05.960
<v Speaker 2>from say headcount to a new AI.

0:34:05.800 --> 0:34:07.680
<v Speaker 4>Tool, Well, yes to no.

0:34:07.760 --> 0:34:10.239
<v Speaker 1>And first of all, let's be let's have some you know,

0:34:10.480 --> 0:34:13.840
<v Speaker 1>intellectual honesty around a lot of the drama around layoffs.

0:34:14.719 --> 0:34:18.399
<v Speaker 1>Unemployment is really really low in the United States right now.

0:34:18.600 --> 0:34:20.640
<v Speaker 1>Some of the layoffs that are getting lots of attention

0:34:20.680 --> 0:34:23.120
<v Speaker 1>are getting lots of attention because they are inside platform

0:34:23.160 --> 0:34:26.200
<v Speaker 1>companies that have been hiring wildly for years. But if

0:34:26.239 --> 0:34:29.719
<v Speaker 1>you take take a sort of cold blooded look at

0:34:29.719 --> 0:34:33.400
<v Speaker 1>employment in the United States, unemployment is shockingly low. I

0:34:33.440 --> 0:34:35.920
<v Speaker 1>live in Maryland, where the unemployment rate is like two

0:34:36.000 --> 0:34:36.920
<v Speaker 1>point four percent.

0:34:37.120 --> 0:34:37.760
<v Speaker 4>That's nothing.

0:34:38.080 --> 0:34:40.200
<v Speaker 1>So I don't think we need to be sounding alarm

0:34:40.239 --> 0:34:43.040
<v Speaker 1>bells yet about layoffs, in part because there's people being

0:34:43.120 --> 0:34:45.839
<v Speaker 1>laid off inside these platform companies can go get work

0:34:45.880 --> 0:34:49.319
<v Speaker 1>inside startups the likes of which I invest in. And

0:34:49.400 --> 0:34:53.640
<v Speaker 1>what we're seeing inside these startups is they are using

0:34:53.760 --> 0:34:58.520
<v Speaker 1>AI in a way that is enabling them to not

0:34:58.680 --> 0:35:02.160
<v Speaker 1>have to build their headcount too fast. So this is

0:35:02.320 --> 0:35:05.839
<v Speaker 1>enabling the growth of really lean startups. So I think

0:35:05.880 --> 0:35:09.800
<v Speaker 1>it's actually helping the startup ecosystem a little bit more

0:35:09.880 --> 0:35:13.080
<v Speaker 1>so than some of the flabber year old platform companies

0:35:13.120 --> 0:35:14.520
<v Speaker 1>that are doing some of these layoffs.

0:35:14.960 --> 0:35:17.319
<v Speaker 3>Alik, we were just speaking with Kaifu Lee a little

0:35:17.360 --> 0:35:19.719
<v Speaker 3>bit earlier, who does feel that there's going to be

0:35:19.760 --> 0:35:22.799
<v Speaker 3>a limitation on these big tech juggernauts that have been

0:35:22.840 --> 0:35:25.560
<v Speaker 3>so ahead of the curve in AI development thus far,

0:35:26.000 --> 0:35:28.160
<v Speaker 3>But it's going to lead to cannibalization of their own

0:35:28.160 --> 0:35:31.000
<v Speaker 3>business models and ultimately they're not going to be AI first.

0:35:31.600 --> 0:35:34.360
<v Speaker 3>Are all of the companies that you're backing now ultimately

0:35:34.440 --> 0:35:38.800
<v Speaker 3>AI first companies or are they having to re establish themselves.

0:35:38.840 --> 0:35:41.120
<v Speaker 3>We think about their headcount, We think about the way

0:35:41.120 --> 0:35:43.960
<v Speaker 3>in which their business model works, for example, like a grammarly.

0:35:44.440 --> 0:35:47.200
<v Speaker 1>Yeah, so not all of them are necessarily AI first.

0:35:47.440 --> 0:35:49.560
<v Speaker 1>For a lot of them, AI will be a new

0:35:49.600 --> 0:35:52.680
<v Speaker 1>tool in their toolkit. The most exciting examples of an

0:35:52.680 --> 0:35:55.279
<v Speaker 1>AI first company the one that leads to mind. I'm

0:35:55.320 --> 0:35:58.280
<v Speaker 1>speaking to you today from Italy, and I spent today

0:35:58.400 --> 0:36:02.200
<v Speaker 1>visiting with a company we're backing in Switzerland called key

0:36:02.239 --> 0:36:07.480
<v Speaker 1>in Health Ayaan and they are using AI to provide

0:36:07.640 --> 0:36:12.040
<v Speaker 1>mental health services into big companies and they're doing so

0:36:12.239 --> 0:36:16.640
<v Speaker 1>AI first, something like this wouldn't have been possible. Providing

0:36:16.800 --> 0:36:21.680
<v Speaker 1>AI enabled enabling mental health services to tens of thousands

0:36:21.719 --> 0:36:24.480
<v Speaker 1>of employees that has a human component on the back

0:36:24.600 --> 0:36:27.000
<v Speaker 1>end but has an AI component on the front end.

0:36:27.280 --> 0:36:29.560
<v Speaker 4>That kind of thing wouldn't have been possible years ago.

0:36:29.719 --> 0:36:33.080
<v Speaker 1>And so this, ultimately, I think is showing what AI

0:36:33.400 --> 0:36:36.600
<v Speaker 1>and can do to help the world a little bit.

0:36:37.880 --> 0:36:42.080
<v Speaker 2>Alec Ross Techic analyst and board member at AMPLO, thank you.

0:36:41.960 --> 0:36:42.880
<v Speaker 4>So much for your time.

0:36:43.480 --> 0:36:46.080
<v Speaker 2>Let's get back to Bioage Labs, which we mentioned earlier,

0:36:46.440 --> 0:36:48.120
<v Speaker 2>just to announce the close of a one hundred and

0:36:48.160 --> 0:36:51.799
<v Speaker 2>seventy million dollars Series D round to develop new therapies

0:36:52.000 --> 0:36:55.880
<v Speaker 2>for metabolic diseases using the power of AI. Co founder

0:36:55.920 --> 0:36:59.640
<v Speaker 2>and CEO Christin Forney joins us. Now, so I guess

0:36:59.480 --> 0:37:02.560
<v Speaker 2>it's a d What is it that you need to

0:37:02.640 --> 0:37:06.720
<v Speaker 2>invest in in the context of AI. Help us understand

0:37:06.760 --> 0:37:10.960
<v Speaker 2>how AI will ultimately accelerate I guess the work that

0:37:11.000 --> 0:37:11.520
<v Speaker 2>you're doing.

0:37:13.440 --> 0:37:15.560
<v Speaker 8>Sure, kirst and thanks for having me. It's really great

0:37:15.600 --> 0:37:18.879
<v Speaker 8>to be here. So how we use AI at Bioage

0:37:19.000 --> 0:37:24.440
<v Speaker 8>is really to understand human aging. So human biology is

0:37:24.480 --> 0:37:27.759
<v Speaker 8>incredibly complicated. You have, for example, tens of thousands of

0:37:27.800 --> 0:37:30.080
<v Speaker 8>proteins in your body, each with a different role to

0:37:30.120 --> 0:37:32.959
<v Speaker 8>play in health and disease, and it's fundamentally a data

0:37:33.040 --> 0:37:36.640
<v Speaker 8>question to figure out which proteins matter for certain processes

0:37:36.719 --> 0:37:37.400
<v Speaker 8>versus others.

0:37:37.840 --> 0:37:38.720
<v Speaker 4>And at bio read.

0:37:38.560 --> 0:37:42.839
<v Speaker 8>If you really study what makes individuals, helps individuals live

0:37:42.920 --> 0:37:45.919
<v Speaker 8>long and live healthy for that for a long period

0:37:45.960 --> 0:37:49.000
<v Speaker 8>of time, right, because some people are very healthy well

0:37:49.000 --> 0:37:52.120
<v Speaker 8>into their nineties, they're still very physically capable, still very

0:37:52.120 --> 0:37:54.480
<v Speaker 8>mentally capable. So AI for us is really at the

0:37:54.520 --> 0:37:57.640
<v Speaker 8>beginning of the funnel helping do target ID and now

0:37:57.680 --> 0:38:00.759
<v Speaker 8>with this financing, this incredible Series D finance, but that's

0:38:00.760 --> 0:38:03.040
<v Speaker 8>really going to power as our clinical development. So phase

0:38:03.080 --> 0:38:05.080
<v Speaker 8>two clinical trials of our lead drug.

0:38:04.880 --> 0:38:08.160
<v Speaker 3>For obesity and that you're doing in combination with Eli Lilly,

0:38:08.440 --> 0:38:10.600
<v Speaker 3>and I'm interested as to how much you have to

0:38:10.680 --> 0:38:13.640
<v Speaker 3>go hand in hand with the older god those that

0:38:13.680 --> 0:38:15.480
<v Speaker 3>are already bringing these to market.

0:38:16.320 --> 0:38:19.160
<v Speaker 8>That's a really great question. So our drug, which improves

0:38:19.239 --> 0:38:23.160
<v Speaker 8>muscle and metabolic function, really shines in combination with these

0:38:23.160 --> 0:38:26.520
<v Speaker 8>increten drugs, these drugs that Lily and Novo are are

0:38:26.520 --> 0:38:29.799
<v Speaker 8>currently building. So for the phase true trial, we're going

0:38:29.840 --> 0:38:32.799
<v Speaker 8>to be combining our drug together with one of these

0:38:32.800 --> 0:38:35.239
<v Speaker 8>with Lily's drug to show if we can increase the

0:38:35.400 --> 0:38:37.960
<v Speaker 8>quantity of weight loss so that get more weight loss

0:38:38.000 --> 0:38:39.799
<v Speaker 8>as well as the quality of weight loss, to have

0:38:39.840 --> 0:38:42.680
<v Speaker 8>it be really healthier weight loss with a better balance

0:38:42.840 --> 0:38:44.800
<v Speaker 8>of muscle the fat at the end of the treatment.

0:38:45.440 --> 0:38:48.279
<v Speaker 8>Importantly too, our drug is an oral drug. It's a pill,

0:38:48.600 --> 0:38:50.719
<v Speaker 8>and the future here is really to instead of having

0:38:50.800 --> 0:38:53.560
<v Speaker 8>to reject yourself all the time, have a weight loss

0:38:53.600 --> 0:38:56.480
<v Speaker 8>pill that achieves the weight loss that you need and

0:38:56.520 --> 0:38:57.319
<v Speaker 8>in a healthy way.

0:38:58.360 --> 0:39:01.520
<v Speaker 4>Kristin what's your biggest cost? Real quick? We had thirty seconds.

0:39:01.840 --> 0:39:03.520
<v Speaker 2>In the funds that you've gained, what are you going

0:39:03.560 --> 0:39:07.360
<v Speaker 2>to spend on headcount or software or compute?

0:39:07.719 --> 0:39:10.319
<v Speaker 8>For sure? So for a biotech, the largest cost is

0:39:10.360 --> 0:39:13.440
<v Speaker 8>the clinical trial itself. So you're going to require hundreds

0:39:13.440 --> 0:39:15.400
<v Speaker 8>of people that are taking your drug for months at

0:39:15.400 --> 0:39:18.160
<v Speaker 8>a time and look at a really comprehensive battery of tests,

0:39:18.440 --> 0:39:21.920
<v Speaker 8>so that more than the headcount or the software is

0:39:21.920 --> 0:39:23.120
<v Speaker 8>the big cost user.

0:39:23.960 --> 0:39:25.759
<v Speaker 5>Well, so you put that money to work. Tell us

0:39:25.840 --> 0:39:27.560
<v Speaker 5>how trials go come back on the show.

0:39:27.560 --> 0:39:31.120
<v Speaker 3>Bioah Labs co founder CEO Kristin Fortney on that one

0:39:31.160 --> 0:39:32.719
<v Speaker 3>hundred and seventy million dollar raise.

0:39:33.320 --> 0:39:35.320
<v Speaker 5>Meanwhile, well that does it for this edition.

0:39:35.160 --> 0:39:38.759
<v Speaker 3>Of Bloomberg Technology Comraine sun or snow or bring it

0:39:38.800 --> 0:39:39.759
<v Speaker 3>to air here in New York.

0:39:39.800 --> 0:39:40.880
<v Speaker 5>But so much to digest that.

0:39:41.880 --> 0:39:44.400
<v Speaker 2>Yeah, and it's a big week for the gig economy.

0:39:44.440 --> 0:39:46.080
<v Speaker 2>I really think this is going to be something that

0:39:46.120 --> 0:39:48.000
<v Speaker 2>we'll be talking about and learning a lot about the

0:39:48.000 --> 0:39:50.400
<v Speaker 2>world we live in through those earnings. Check out the

0:39:50.440 --> 0:39:55.520
<v Speaker 2>pod recap, the conversations Apple, Spotify, iHeart from a snowy,

0:39:55.760 --> 0:40:00.800
<v Speaker 2>blizzardy New York City and a standard luke warm sunny

0:40:00.840 --> 0:40:01.640
<v Speaker 2>San Francisco.

0:40:02.120 --> 0:40:02.960
<v Speaker 4>This is Bloomberg