WEBVTT - ServiceNow's $3B AI Bet, Crypto Slumps Post Crypto Reserve Announcement 

0:00:02.520 --> 0:00:09.119
<v Speaker 1>Bloomberg Audio Studios, podcasts, radio news from the heart of

0:00:09.160 --> 0:00:14.880
<v Speaker 1>where innovation, money and power collide in Silicon Valley and beyond.

0:00:15.320 --> 0:00:44.879
<v Speaker 1>This is Bloomberg Technology with Caroline Hyde and Ed Ludlow.

0:00:34.880 --> 0:00:37.479
<v Speaker 2>Live from New York and Caroline Hyde and.

0:00:37.440 --> 0:00:40.680
<v Speaker 3>I'm Jackie Devalas in Washington. This is Bloomberg Technology.

0:00:40.760 --> 0:00:43.840
<v Speaker 4>Coming up Service Now makes a nearly three billion dollar

0:00:43.920 --> 0:00:47.080
<v Speaker 4>AI bet in a move to buy startup Moveworks plus

0:00:47.120 --> 0:00:50.080
<v Speaker 4>Crypto synks further with bitcoin's sub eighty thousand dollars is

0:00:50.159 --> 0:00:54.120
<v Speaker 4>Tariff war tensions drown out Trump's pro crypto announcements, while

0:00:54.120 --> 0:00:57.800
<v Speaker 4>President Trump says he's negotiating with four different possible buys

0:00:57.800 --> 0:01:01.080
<v Speaker 4>for TikTok's US business and a deal could come soon.

0:01:01.640 --> 0:01:04.880
<v Speaker 4>But first we highlight the market sell off. We are

0:01:05.000 --> 0:01:10.640
<v Speaker 4>unwinding that AI trade once again when growth enthusiasm becomes fear.

0:01:10.640 --> 0:01:12.320
<v Speaker 4>We're down by three point three percent, and then as

0:01:12.319 --> 0:01:14.720
<v Speaker 4>that one hundred having its worst dase it's December the eighteenth.

0:01:14.800 --> 0:01:17.800
<v Speaker 4>We are the lowest in September twenty twenty four, the

0:01:17.880 --> 0:01:20.120
<v Speaker 4>mag seven sinks in particular, we're looking.

0:01:19.880 --> 0:01:21.520
<v Speaker 5>At five point four percent drop.

0:01:21.720 --> 0:01:24.160
<v Speaker 4>Apple now sub three and a half trillion dollars you're

0:01:24.200 --> 0:01:27.280
<v Speaker 4>looking at in video well below three trillion. We're about

0:01:27.280 --> 0:01:30.000
<v Speaker 4>two point six trillion dollars in terms of market capitalization.

0:01:30.240 --> 0:01:33.560
<v Speaker 4>We'll find another five point six percent as we think about.

0:01:33.319 --> 0:01:34.960
<v Speaker 5>What tariffs and what.

0:01:34.840 --> 0:01:38.280
<v Speaker 4>Overall geopolitical tensions mean for this AI trade that we

0:01:38.280 --> 0:01:40.319
<v Speaker 4>were so long at the beginning of this year.

0:01:40.480 --> 0:01:41.920
<v Speaker 5>Move on and even look at TSMC.

0:01:42.080 --> 0:01:44.959
<v Speaker 4>They come out with good numbers analysts like the pace

0:01:45.000 --> 0:01:47.000
<v Speaker 4>of growth in excess of forty percent from the month

0:01:47.000 --> 0:01:49.200
<v Speaker 4>of February in terms of sales. All eyes on whether

0:01:49.240 --> 0:01:51.480
<v Speaker 4>they can live up to their own internal guidance for.

0:01:51.480 --> 0:01:52.720
<v Speaker 5>Their fiscal first quarter.

0:01:52.920 --> 0:01:55.920
<v Speaker 4>But the AI demand still clearly there when it comes

0:01:55.960 --> 0:01:57.920
<v Speaker 4>to the making of chips, but it is.

0:01:57.960 --> 0:02:00.640
<v Speaker 5>Drag lower by sentiment. Let's get to that sentiment.

0:02:00.720 --> 0:02:03.760
<v Speaker 4>Grude Meg's ron Vastelica is here and boy are we

0:02:03.880 --> 0:02:05.559
<v Speaker 4>continuing these drivations in the market.

0:02:06.680 --> 0:02:07.400
<v Speaker 6>Yeah. Absolutely.

0:02:07.440 --> 0:02:09.560
<v Speaker 7>It does seem like there's just no end insight for

0:02:09.680 --> 0:02:12.040
<v Speaker 7>all of this selling. You've had major names that were

0:02:12.120 --> 0:02:14.520
<v Speaker 7>kind of seen as maybe a safety trade in the market.

0:02:14.720 --> 0:02:15.840
<v Speaker 6>They're all breaking down.

0:02:16.200 --> 0:02:19.440
<v Speaker 7>Major indexes have fallen under major support levels, key stocks

0:02:19.440 --> 0:02:23.239
<v Speaker 7>have fallen under support levels. There's been hundreds of billions

0:02:23.240 --> 0:02:25.639
<v Speaker 7>of dollars of value just completely wiped off. It's been

0:02:25.680 --> 0:02:27.720
<v Speaker 7>a very broad based weakness here.

0:02:28.960 --> 0:02:30.920
<v Speaker 8>Rian, How broad based is that?

0:02:31.000 --> 0:02:33.959
<v Speaker 3>Because last week we saw chips really taking a hit.

0:02:34.480 --> 0:02:37.280
<v Speaker 3>Is what we're seeing today just really a dragdown of

0:02:37.360 --> 0:02:39.360
<v Speaker 3>a couple of the big names that have a high

0:02:39.360 --> 0:02:42.680
<v Speaker 3>concentration in that Nasdaq one hundred index. Or is there

0:02:42.760 --> 0:02:45.040
<v Speaker 3>broader fears here that we're just not seeing yet?

0:02:46.080 --> 0:02:47.919
<v Speaker 7>Well, I do think just the breath of the selling

0:02:47.960 --> 0:02:50.320
<v Speaker 7>does speak to just the broadness of the fears out there.

0:02:50.320 --> 0:02:52.560
<v Speaker 7>If we are going into some kind of economic contraction

0:02:52.639 --> 0:02:55.960
<v Speaker 7>or just broader weakness when you do have potential terrorists

0:02:55.960 --> 0:02:58.680
<v Speaker 7>and escalation and geopolitical tensions, that's going to weigh on

0:02:58.720 --> 0:03:01.440
<v Speaker 7>the market. It's pretty broadly. But because tech has done

0:03:01.480 --> 0:03:03.959
<v Speaker 7>so well for so long, this is a natural place

0:03:04.000 --> 0:03:06.320
<v Speaker 7>for people to be taking their profits first.

0:03:07.520 --> 0:03:10.240
<v Speaker 4>Any hints of buying the dip just seems to be

0:03:10.320 --> 0:03:12.200
<v Speaker 4>completely waight. I mean, the key question for the market

0:03:12.320 --> 0:03:15.280
<v Speaker 4>is thus far Trump says he's not listening to the markets,

0:03:15.520 --> 0:03:17.520
<v Speaker 4>But is there a point at which he starts to.

0:03:19.120 --> 0:03:19.320
<v Speaker 9>Wow?

0:03:19.400 --> 0:03:21.360
<v Speaker 7>I don't know about that, but at a certain point,

0:03:21.480 --> 0:03:23.120
<v Speaker 7>you know, you do have a lot of people remain

0:03:23.280 --> 0:03:26.200
<v Speaker 7>very positive about the long term potential of the big

0:03:26.240 --> 0:03:29.640
<v Speaker 7>tech stocks, even the AI stocks. It is very possible

0:03:29.639 --> 0:03:31.239
<v Speaker 7>at some point where people will come in and think,

0:03:31.320 --> 0:03:33.640
<v Speaker 7>you know what, these names have really gotten beaten down.

0:03:33.680 --> 0:03:35.320
<v Speaker 7>A lot of them are at multiples that they haven't

0:03:35.320 --> 0:03:37.280
<v Speaker 7>been trading at in you know, a couple of years

0:03:37.360 --> 0:03:40.640
<v Speaker 7>or even longer at all. Speaks to like an environment

0:03:40.680 --> 0:03:42.720
<v Speaker 7>where maybe people start to get a little bit more positive,

0:03:42.720 --> 0:03:44.520
<v Speaker 7>start to nibble in at the bottom. But there's so

0:03:44.600 --> 0:03:47.240
<v Speaker 7>much uncertainty just in the broader economy right now. It's

0:03:47.600 --> 0:03:49.480
<v Speaker 7>hard to know when that's going to happen. But certainly

0:03:49.480 --> 0:03:51.120
<v Speaker 7>if we did see a rebound from here, I don't

0:03:51.120 --> 0:03:53.080
<v Speaker 7>think that would be too surprising because it's not like

0:03:53.080 --> 0:03:55.280
<v Speaker 7>the fundamentals have really changed all that dramatically.

0:03:56.480 --> 0:03:59.120
<v Speaker 3>That's Bloomberg's Ryan glas Stelaca. Thanks so much for joining

0:03:59.240 --> 0:03:59.880
<v Speaker 3>us late.

0:04:00.200 --> 0:04:00.600
<v Speaker 5>Today.

0:04:00.760 --> 0:04:04.000
<v Speaker 3>President Donald Trump is set to meet with CEOs of

0:04:04.120 --> 0:04:09.240
<v Speaker 3>major tech companies, including IBM, Intel, Qualcom, and HP.

0:04:09.960 --> 0:04:11.160
<v Speaker 8>The meeting comes as the.

0:04:11.080 --> 0:04:15.600
<v Speaker 3>White House considers policy changes, including tariffs and stricter export

0:04:15.760 --> 0:04:20.160
<v Speaker 3>rules that could impact the tech industry's global supply chains

0:04:20.160 --> 0:04:24.000
<v Speaker 3>and operations. Bloomberg's Mike Shepherd joins us now.

0:04:23.839 --> 0:04:26.599
<v Speaker 8>To discuss more. Mike, what are the stakes of this

0:04:26.720 --> 0:04:27.400
<v Speaker 8>meeting today?

0:04:27.560 --> 0:04:30.240
<v Speaker 10>Well, we are seeing the stakes of this meeting play

0:04:30.279 --> 0:04:32.360
<v Speaker 10>out in the market right now. We're seeing the kind

0:04:32.400 --> 0:04:37.440
<v Speaker 10>of uncertainty that is gripping investors as really a reflection

0:04:37.560 --> 0:04:41.320
<v Speaker 10>of what these companies are also going through, because the terriffs,

0:04:41.480 --> 0:04:46.040
<v Speaker 10>whether they're imposed or not, are throwing an element of

0:04:46.160 --> 0:04:49.279
<v Speaker 10>what happens next for them and their supply chains, and

0:04:49.360 --> 0:04:52.279
<v Speaker 10>also what happens to costs that they may have to bear,

0:04:52.520 --> 0:04:55.760
<v Speaker 10>and also markets that they may be trying to sell too,

0:04:56.160 --> 0:04:59.400
<v Speaker 10>not only consumers when you think about endpoint buyers, but

0:04:59.520 --> 0:05:03.840
<v Speaker 10>also folks other companies that may be looking to make

0:05:03.880 --> 0:05:07.240
<v Speaker 10>some acquisitions along the way for their own supply chain.

0:05:07.320 --> 0:05:09.880
<v Speaker 10>So there will be a lot to say at this

0:05:10.000 --> 0:05:13.080
<v Speaker 10>It's unclear whether there will be some big reveal or

0:05:13.160 --> 0:05:16.440
<v Speaker 10>announcement from the president. It is not signaling that way

0:05:16.480 --> 0:05:19.520
<v Speaker 10>when we think about the TSMC announcement from a week

0:05:19.560 --> 0:05:23.599
<v Speaker 10>ago or the big Softgate soft Bank announcement on Stargate

0:05:23.680 --> 0:05:27.520
<v Speaker 10>with open Ai Oracle. This doesn't have quite that vibe

0:05:27.560 --> 0:05:29.800
<v Speaker 10>right now. But we'll have to see what the President says,

0:05:29.839 --> 0:05:32.080
<v Speaker 10>for now the meeting is closed to press, but maybe

0:05:32.080 --> 0:05:33.040
<v Speaker 10>they will open it up.

0:05:33.480 --> 0:05:35.400
<v Speaker 3>That's a great point that you bring up with Stargate,

0:05:35.440 --> 0:05:38.640
<v Speaker 3>because then it was kind of a slashier meeting that was,

0:05:38.960 --> 0:05:41.720
<v Speaker 3>you know, we were getting some nuggets beforehand.

0:05:41.800 --> 0:05:43.480
<v Speaker 8>What does it mean that these.

0:05:43.320 --> 0:05:47.240
<v Speaker 3>Are American companies, you know, as we heard from TSMC

0:05:47.360 --> 0:05:50.320
<v Speaker 3>last week, are they looking more for guidance or is

0:05:50.360 --> 0:05:51.880
<v Speaker 3>Trump looking something from them?

0:05:52.200 --> 0:05:52.400
<v Speaker 8>Well?

0:05:52.440 --> 0:05:55.839
<v Speaker 10>Trump is always looking for something from his counterparties. He

0:05:55.960 --> 0:05:59.040
<v Speaker 10>wants some sign that they plan to invest, they plan

0:05:59.160 --> 0:06:02.480
<v Speaker 10>to expand they plan to do more with their domestic presence.

0:06:02.880 --> 0:06:05.000
<v Speaker 10>And yet the way the market is heading right now

0:06:05.040 --> 0:06:07.720
<v Speaker 10>and all of this uncertainty, it is not an environment

0:06:07.800 --> 0:06:10.880
<v Speaker 10>in which companies and businesses are more inclined to make

0:06:10.920 --> 0:06:13.880
<v Speaker 10>those kinds of big spending, big investment decisions.

0:06:14.080 --> 0:06:16.800
<v Speaker 4>What's hitting the most mic is it tariffs? Is it

0:06:16.880 --> 0:06:19.160
<v Speaker 4>a potential repeal of the Chip sacks? What is going

0:06:19.200 --> 0:06:22.039
<v Speaker 4>to be that top question to President Trump these CEOs.

0:06:23.120 --> 0:06:26.479
<v Speaker 10>That's a great question, Caro, because the tariffs really have

0:06:27.160 --> 0:06:31.520
<v Speaker 10>taken precedence over almost anything else. And his discomfort with

0:06:31.640 --> 0:06:35.200
<v Speaker 10>the Chips Act, which he expressed during his address to

0:06:35.279 --> 0:06:38.920
<v Speaker 10>Congress last week. Wawmakers quickly shot that down. They don't

0:06:38.920 --> 0:06:41.320
<v Speaker 10>seem to be too inclined to cut off that picket

0:06:41.360 --> 0:06:44.520
<v Speaker 10>of money. There wasn't a bipartisan support to get through.

0:06:44.600 --> 0:06:47.479
<v Speaker 10>But the tariffs are really the thing out there that

0:06:47.600 --> 0:06:51.120
<v Speaker 10>is sowing this kind of uncertainty about what the impact

0:06:51.160 --> 0:06:55.320
<v Speaker 10>on supply chains would be. Remember, the President has imposed

0:06:55.360 --> 0:06:58.479
<v Speaker 10>tariffs on Canada and Mexico and later put them in

0:06:58.520 --> 0:07:02.640
<v Speaker 10>abeyance for an Now, our two largest trading partners here

0:07:02.680 --> 0:07:06.159
<v Speaker 10>in the US, and then there's the world's second largest economy, China,

0:07:06.279 --> 0:07:09.720
<v Speaker 10>that is the third largest US trading partner. Those tariffs

0:07:09.760 --> 0:07:12.520
<v Speaker 10>of up to twenty percent of most products coming in

0:07:12.560 --> 0:07:15.640
<v Speaker 10>from China really have an impact and start to have

0:07:15.720 --> 0:07:16.400
<v Speaker 10>a bite.

0:07:16.560 --> 0:07:19.400
<v Speaker 4>Mike Shepard, we thank you for that breakdown. Now, amid

0:07:19.480 --> 0:07:22.440
<v Speaker 4>these tariffs and market jitters, deals are actually still getting done.

0:07:22.600 --> 0:07:25.320
<v Speaker 4>Service Now has agreed to buy artificial intelligence firm move

0:07:25.360 --> 0:07:27.680
<v Speaker 4>Works for two point eight billion dollars as part of

0:07:27.680 --> 0:07:31.160
<v Speaker 4>its push into AI tools that can complete tasks without

0:07:31.240 --> 0:07:32.040
<v Speaker 4>human supervision.

0:07:32.240 --> 0:07:33.720
<v Speaker 5>From mex Bodiford joins.

0:07:33.600 --> 0:07:37.320
<v Speaker 4>US now AGENTKI here again but not organically grown over

0:07:37.360 --> 0:07:38.040
<v Speaker 4>at Service Now.

0:07:38.200 --> 0:07:41.680
<v Speaker 11>Yeah, exactly every single software company is chasing this price

0:07:41.760 --> 0:07:44.800
<v Speaker 11>of AGENTICAI. You know, I had to get a new laptop,

0:07:44.880 --> 0:07:47.000
<v Speaker 11>you know, through work. And the idea is for a

0:07:47.040 --> 0:07:49.160
<v Speaker 11>company service now is that when I type it in,

0:07:49.680 --> 0:07:52.760
<v Speaker 11>it automatically routes almost everything. It makes a decision that

0:07:52.840 --> 0:07:55.400
<v Speaker 11>says is this user permission for this? Is there a

0:07:55.440 --> 0:07:56.960
<v Speaker 11>business case? What will it cost?

0:07:57.080 --> 0:07:57.320
<v Speaker 6>Cool?

0:07:57.680 --> 0:08:00.640
<v Speaker 11>The idea is ultimately that customers don't need as many

0:08:00.680 --> 0:08:04.800
<v Speaker 11>people to you know, do in house tasks. Service Now's

0:08:04.840 --> 0:08:09.160
<v Speaker 11>real core market is that it services and so move works.

0:08:09.360 --> 0:08:11.560
<v Speaker 11>You know, it is a pretty clear play to be

0:08:11.560 --> 0:08:13.480
<v Speaker 11>able to double down on that market and inject some

0:08:13.600 --> 0:08:14.400
<v Speaker 11>AI into it.

0:08:15.720 --> 0:08:17.040
<v Speaker 8>Berdy Move Forwards.

0:08:16.720 --> 0:08:18.840
<v Speaker 3>Has been around for quite a while, even though we've

0:08:18.840 --> 0:08:22.200
<v Speaker 3>been hearing about these customer service AI agents more as

0:08:22.240 --> 0:08:25.000
<v Speaker 3>of late. It was less valued in twenty twenty one,

0:08:25.400 --> 0:08:27.920
<v Speaker 3>and as we've seen in the broader start of market,

0:08:28.040 --> 0:08:29.760
<v Speaker 3>it's really hard to raise money.

0:08:29.600 --> 0:08:31.240
<v Speaker 8>Especially if you're later stage.

0:08:31.520 --> 0:08:33.560
<v Speaker 3>Did Service Now get a good deal here?

0:08:34.440 --> 0:08:36.719
<v Speaker 11>It's a pretty good outcome. And as you said, it's

0:08:36.720 --> 0:08:39.320
<v Speaker 11>been a tough market for VC backed companies right We've

0:08:39.320 --> 0:08:42.720
<v Speaker 11>seen a lot of companies selling at below previous valuations.

0:08:43.200 --> 0:08:45.000
<v Speaker 11>So I mean two point one to three. That's a

0:08:45.000 --> 0:08:47.520
<v Speaker 11>pretty large deal. I think it's pretty successful for everybody.

0:08:47.600 --> 0:08:49.559
<v Speaker 11>And with Service Now, it's funny because you know they're

0:08:49.640 --> 0:08:52.880
<v Speaker 11>CEO Bill McDermott, at a reputation for huge deals at SAP.

0:08:53.480 --> 0:08:55.480
<v Speaker 11>He came in at Service Now and said, you know,

0:08:55.520 --> 0:08:57.760
<v Speaker 11>these days are behind me. We're going for organic growth.

0:08:58.559 --> 0:09:01.360
<v Speaker 11>But it seems like today the ugates may be opening, right.

0:09:01.360 --> 0:09:02.920
<v Speaker 11>I mean, I think there's scent lights in the message

0:09:02.920 --> 0:09:05.160
<v Speaker 11>that Service Now might be kind of ready to be

0:09:05.240 --> 0:09:06.079
<v Speaker 11>a big acquirer.

0:09:07.480 --> 0:09:10.280
<v Speaker 4>It doesn't seem as though the market is that jubilant.

0:09:10.320 --> 0:09:12.560
<v Speaker 4>I mean, the market is down across the board. The

0:09:12.600 --> 0:09:15.200
<v Speaker 4>Service Now is down by more than six percent, which

0:09:15.240 --> 0:09:17.200
<v Speaker 4>is more than the slump. And then as that one hundred,

0:09:17.400 --> 0:09:19.640
<v Speaker 4>our investors just a little bit nervy about these sorts

0:09:19.679 --> 0:09:22.360
<v Speaker 4>of big outgoings and a time where Service Now has

0:09:22.400 --> 0:09:25.160
<v Speaker 4>a lot of government exposure, for example, in terms of contracts.

0:09:25.320 --> 0:09:27.880
<v Speaker 11>The big question for SaaS companies is how quick are

0:09:27.880 --> 0:09:31.320
<v Speaker 11>you turning the AI moment into revenue for Service Now.

0:09:31.360 --> 0:09:33.360
<v Speaker 11>In the most recent earnings they kind of showed that

0:09:33.440 --> 0:09:38.240
<v Speaker 11>we are still prioritizing adoption rather than revenue. Spending three

0:09:38.280 --> 0:09:41.880
<v Speaker 11>billion dollars to you know, essentially buy sooner revenue recognition.

0:09:42.240 --> 0:09:43.600
<v Speaker 8>That could be a sign of weakness.

0:09:43.679 --> 0:09:45.640
<v Speaker 5>Certainly, Ready Ford.

0:09:45.640 --> 0:09:48.200
<v Speaker 4>Who was front running the official announcement with a scoop

0:09:48.240 --> 0:09:51.200
<v Speaker 4>over the weekend brilliant, thank you now coming up. Bitcoin

0:09:51.320 --> 0:09:54.960
<v Speaker 4>slump continues despite President Trump's pro crypto agenda. More on

0:09:55.000 --> 0:09:57.400
<v Speaker 4>the bitcoin space in a moment, but shares of Tesla

0:09:57.440 --> 0:09:59.640
<v Speaker 4>is where we focus in on after bitcoin is off

0:09:59.800 --> 0:10:02.160
<v Speaker 4>to be it's percent check out what this magnificent seven

0:10:02.240 --> 0:10:04.120
<v Speaker 4>name is currently down by eight.

0:10:03.920 --> 0:10:04.800
<v Speaker 5>Point six percent.

0:10:04.880 --> 0:10:07.400
<v Speaker 4>It's leading in terms of the sell off we're seeing

0:10:07.679 --> 0:10:10.559
<v Speaker 4>from a points perspective. Apple and Vidia also contributing. We're

0:10:10.559 --> 0:10:11.360
<v Speaker 4>worrying about China.

0:10:11.400 --> 0:10:12.240
<v Speaker 5>We're worrying about.

0:10:12.040 --> 0:10:15.120
<v Speaker 4>Sales slump over there, but more broadly worried about valuations

0:10:15.160 --> 0:10:18.160
<v Speaker 4>for a company that's ubs is saying perhaps the AI

0:10:18.200 --> 0:10:20.120
<v Speaker 4>trade is a little bit too long a term for

0:10:20.160 --> 0:10:22.800
<v Speaker 4>this particular one in the here and now they downgrade

0:10:22.960 --> 0:10:24.959
<v Speaker 4>their view on sales for the first quarter. This is

0:10:25.000 --> 0:10:40.320
<v Speaker 4>boombog technology. Bitcoin slide continues. It's now below eighty thousand

0:10:40.360 --> 0:10:43.000
<v Speaker 4>dollars for the first time since November. Now the asset

0:10:43.040 --> 0:10:45.760
<v Speaker 4>class is consumed by macro concerns rather than the slew

0:10:45.800 --> 0:10:48.000
<v Speaker 4>of pro crypto rhetoric that we got from President Trump's

0:10:48.000 --> 0:10:49.240
<v Speaker 4>crypto summit on Friday.

0:10:49.559 --> 0:10:51.640
<v Speaker 5>From all let's break it all down with Shnani base icon.

0:10:51.920 --> 0:10:54.720
<v Speaker 4>Maybe there's this underwhelmed feeling from the crypto summit, but

0:10:54.760 --> 0:10:56.480
<v Speaker 4>it is macro front and center in terms of the

0:10:56.520 --> 0:10:57.559
<v Speaker 4>sell off on crypto.

0:10:57.400 --> 0:10:59.920
<v Speaker 12>Right first and foremost, the risky appetite is pretty tough

0:11:00.040 --> 0:11:02.680
<v Speaker 12>out there, and you have a fairly high correlation still

0:11:02.920 --> 0:11:06.000
<v Speaker 12>for bitcoin two stocks. So if you're selling off risk assets,

0:11:06.000 --> 0:11:09.439
<v Speaker 12>you're certainly not buying bitcoin today. I think what's remarkable

0:11:09.480 --> 0:11:12.080
<v Speaker 12>is not even just today's decline, and you are now

0:11:12.400 --> 0:11:15.800
<v Speaker 12>flirting with that eighty thousand dollars level. We have dropped

0:11:15.800 --> 0:11:18.600
<v Speaker 12>below it, but it's trying to kind of keep that mark.

0:11:19.040 --> 0:11:21.800
<v Speaker 12>You have bitcoin down more than twenty five percent since

0:11:21.840 --> 0:11:24.280
<v Speaker 12>the highs that we saw, So if you bought bitcoin

0:11:24.320 --> 0:11:26.240
<v Speaker 12>at one hundred and ten dollars, one hundred and ten

0:11:26.280 --> 0:11:29.760
<v Speaker 12>thousand dollars nearly you're feeling that pain. Today on a

0:11:29.840 --> 0:11:32.920
<v Speaker 12>seven day basis, bitcoin is down more than eleven percent,

0:11:33.080 --> 0:11:36.600
<v Speaker 12>So too is a theoreum. But one thing that's important

0:11:36.640 --> 0:11:40.400
<v Speaker 12>about all this is also that strategic Bitcoin Reserve that

0:11:40.480 --> 0:11:43.120
<v Speaker 12>the White House had been talking about. It's not the

0:11:43.160 --> 0:11:46.160
<v Speaker 12>idea here that they'll be buying more crypto assets. They

0:11:46.200 --> 0:11:50.600
<v Speaker 12>would be taking assets from what is already forfeited.

0:11:49.960 --> 0:11:51.480
<v Speaker 5>Right from what they have seized.

0:11:51.600 --> 0:11:54.160
<v Speaker 12>So if you're not buying from the US government, then

0:11:54.240 --> 0:11:58.640
<v Speaker 12>it remains that bitcoin needs that extra marginal buyers story

0:11:58.640 --> 0:12:01.280
<v Speaker 12>here at a time where as we've been talking about risk,

0:12:01.360 --> 0:12:02.440
<v Speaker 12>appetite is quite low.

0:12:03.720 --> 0:12:07.600
<v Speaker 3>Shanali cryptos almost synonymous with volatility. Depending on where you sit,

0:12:08.040 --> 0:12:12.400
<v Speaker 3>how much of these swings are actually unprecedented, How does

0:12:12.440 --> 0:12:15.120
<v Speaker 3>it compare to what we've seen in the past.

0:12:15.360 --> 0:12:17.840
<v Speaker 12>Well, think about it this way, Jackie, on one hand,

0:12:18.280 --> 0:12:21.760
<v Speaker 12>is on it is very something. It's something that big

0:12:21.760 --> 0:12:24.200
<v Speaker 12>investors who have been in bitcoin a long time have

0:12:24.679 --> 0:12:27.559
<v Speaker 12>bared before. You have the billionaires in the crypto industry

0:12:27.760 --> 0:12:30.400
<v Speaker 12>pretty used to losing a billion or a few in

0:12:30.520 --> 0:12:33.360
<v Speaker 12>a single year. But if you're a retail buyer who

0:12:33.400 --> 0:12:35.760
<v Speaker 12>have maybe got in at the end of last year

0:12:36.080 --> 0:12:38.320
<v Speaker 12>when the prices were still high through the form of

0:12:38.320 --> 0:12:41.319
<v Speaker 12>an ATF, it is tougher to bear now if you're

0:12:41.360 --> 0:12:43.319
<v Speaker 12>thinking about the look ahead as well. There are a

0:12:43.360 --> 0:12:45.360
<v Speaker 12>lot of meme coins and a lot of alt coins

0:12:45.360 --> 0:12:48.760
<v Speaker 12>that people have bought into in addition to Bitcoin, even

0:12:48.960 --> 0:12:52.000
<v Speaker 12>more of a drop than Bitcoin today is for example,

0:12:52.160 --> 0:12:54.400
<v Speaker 12>Doge and many of you might notice that over the

0:12:54.400 --> 0:12:57.400
<v Speaker 12>weekend there was a lot of criticism around DOGE and

0:12:57.440 --> 0:13:00.080
<v Speaker 12>the plans for it, both by judges as well as

0:13:00.080 --> 0:13:02.920
<v Speaker 12>members of the administration, according to different reports that were

0:13:02.960 --> 0:13:05.400
<v Speaker 12>out there. So it's not just Bitcoin, it is the

0:13:05.440 --> 0:13:06.319
<v Speaker 12>all kinds.

0:13:06.040 --> 0:13:06.679
<v Speaker 8>Outside of it.

0:13:06.960 --> 0:13:10.640
<v Speaker 12>They saw this big rally when President Trump initially had

0:13:10.760 --> 0:13:15.520
<v Speaker 12>hinted that Salona Cardano XRP could be considered for this reserve,

0:13:15.760 --> 0:13:18.760
<v Speaker 12>but they were not in that executive order necessarily for

0:13:18.920 --> 0:13:23.320
<v Speaker 12>purchase for this strategic Bitcoin reserve so now or crypto

0:13:23.400 --> 0:13:26.120
<v Speaker 12>asset reserve. So you do see pain there as well

0:13:26.120 --> 0:13:29.920
<v Speaker 12>because the government's plans are somewhat unclear even after that

0:13:29.960 --> 0:13:34.000
<v Speaker 12>big White House summit on Friday, Jackie.

0:13:33.480 --> 0:13:36.120
<v Speaker 3>That's Bloomberg Shanali base I thanks so much for joining us.

0:13:36.280 --> 0:13:38.920
<v Speaker 3>We caught up with White House, AI and cryptos are

0:13:39.080 --> 0:13:42.040
<v Speaker 3>David Sachs ahead of the Crypto summit on Friday. Here's

0:13:42.080 --> 0:13:43.600
<v Speaker 3>what he had to say about the creation of the

0:13:43.600 --> 0:13:44.400
<v Speaker 3>bitcoin reserve.

0:13:45.280 --> 0:13:47.719
<v Speaker 9>The reason why we need a bitcoin reserve is that

0:13:47.760 --> 0:13:50.480
<v Speaker 9>the federal government already owns some In the past, the

0:13:50.520 --> 0:13:53.280
<v Speaker 9>strategy has been simply to sell it, you know, in

0:13:53.320 --> 0:13:56.400
<v Speaker 9>an ad hoc way, almost willy nilly, and that cost

0:13:56.720 --> 0:14:00.120
<v Speaker 9>American taxpayer something like seventeen billion dollars in lost value.

0:14:00.360 --> 0:14:01.920
<v Speaker 9>So we want to have a long term strategy to

0:14:01.960 --> 0:14:03.280
<v Speaker 9>maximize the value these holdings.

0:14:04.960 --> 0:14:08.040
<v Speaker 3>For more on the crypto landscape, Stacy Rowland, zero one

0:14:08.160 --> 0:14:12.760
<v Speaker 3>Strategies founder joins a snow Stacy, why did this crypto

0:14:12.840 --> 0:14:15.600
<v Speaker 3>summit fall slap because hopes were pretty high?

0:14:15.920 --> 0:14:19.800
<v Speaker 13>Well, I think it's important to realize that unlike markets

0:14:19.960 --> 0:14:24.880
<v Speaker 13>that react instantaneously, policy making is requires patients.

0:14:25.160 --> 0:14:26.320
<v Speaker 8>It's a slow process.

0:14:26.720 --> 0:14:31.520
<v Speaker 13>So, yes, the ball started rolling on Friday with the

0:14:31.640 --> 0:14:35.320
<v Speaker 13>president's call for the creation of a strategic reserve and

0:14:35.960 --> 0:14:39.280
<v Speaker 13>digital assets stockpile. There's a lot of details, as we've

0:14:39.280 --> 0:14:41.240
<v Speaker 13>been discussing, a lot of details still need to be

0:14:41.280 --> 0:14:44.080
<v Speaker 13>filled in, and there's still a role for Congress to play.

0:14:44.600 --> 0:14:47.240
<v Speaker 4>Stacy, with the work that you've done with the government

0:14:47.240 --> 0:14:49.480
<v Speaker 4>relations that you built with Advisory, what you've been doing

0:14:49.480 --> 0:14:51.760
<v Speaker 4>two companies trying to assettain what the government might do.

0:14:52.560 --> 0:14:56.120
<v Speaker 4>Is that consistency enough? Because I think the fact that

0:14:56.360 --> 0:14:56.920
<v Speaker 4>you're saying.

0:14:56.720 --> 0:14:57.280
<v Speaker 5>It's day one.

0:14:57.320 --> 0:14:59.640
<v Speaker 4>It takes a while to really digest what a strategic

0:14:59.680 --> 0:15:01.920
<v Speaker 4>b QUES reserve means. But the lead up to the

0:15:01.920 --> 0:15:05.640
<v Speaker 4>strategic strategic reserve was long, and many had anticipated that

0:15:05.760 --> 0:15:07.720
<v Speaker 4>would be buying that maybe wouldn't.

0:15:07.360 --> 0:15:08.000
<v Speaker 5>Just be bitcoin.

0:15:08.240 --> 0:15:11.120
<v Speaker 4>We were allowed to get over enthusiastic about what the

0:15:11.120 --> 0:15:12.000
<v Speaker 4>announcement would be.

0:15:13.760 --> 0:15:15.040
<v Speaker 5>Uh, well, it's a.

0:15:15.040 --> 0:15:20.240
<v Speaker 13>Great question, and I think essentially more conversations will have

0:15:20.280 --> 0:15:23.760
<v Speaker 13>to happen, right Congress will have to be involved. Uh,

0:15:23.840 --> 0:15:27.920
<v Speaker 13>these are these are long discussions. I do think looking

0:15:28.000 --> 0:15:29.760
<v Speaker 13>at the details, one thing that I think is really

0:15:29.800 --> 0:15:33.200
<v Speaker 13>interesting is, you know, the part that the public was

0:15:33.240 --> 0:15:37.520
<v Speaker 13>able to see. There were interesting comments made, especially by

0:15:37.520 --> 0:15:41.840
<v Speaker 13>the Treasury Secretary where he suggested that, uh, the Treasury

0:15:41.920 --> 0:15:44.040
<v Speaker 13>was going to be playing a role in assessing the

0:15:44.080 --> 0:15:47.040
<v Speaker 13>tax code and looking at risk waiting. And I thought

0:15:47.040 --> 0:15:50.400
<v Speaker 13>that was a really interesting hint. I'm very interested to

0:15:50.440 --> 0:15:53.400
<v Speaker 13>see what Treasury does working with the OCC and the

0:15:53.400 --> 0:15:56.000
<v Speaker 13>I R s uh in you know, he what the

0:15:56.040 --> 0:15:59.960
<v Speaker 13>Secretary had promised was, uh, you know, looking at applicable

0:16:00.360 --> 0:16:05.680
<v Speaker 13>regulations and amending or rescinding as necessary. I'm interested in

0:16:05.760 --> 0:16:10.800
<v Speaker 13>seeing whether he is limiting those comments just to the

0:16:10.880 --> 0:16:13.760
<v Speaker 13>strategic reserve or whether he was suggesting something broader and

0:16:13.760 --> 0:16:14.520
<v Speaker 13>there's more to come.

0:16:14.720 --> 0:16:17.640
<v Speaker 4>When you served within the Accessory Department and you was

0:16:17.680 --> 0:16:19.640
<v Speaker 4>in staff of the Office of Tax Policy, so you're

0:16:19.680 --> 0:16:22.320
<v Speaker 4>someone who should know about these tax perspectives. And thanks Jack,

0:16:22.360 --> 0:16:24.080
<v Speaker 4>you for holding on for this moment. But Stacey, I

0:16:24.120 --> 0:16:26.440
<v Speaker 4>am interested in what it means in terms of the

0:16:26.440 --> 0:16:29.080
<v Speaker 4>future of on ramps. Here we talked about stable coins

0:16:29.080 --> 0:16:32.520
<v Speaker 4>getting some sort of regulatory clarity. That's something that investors want,

0:16:32.560 --> 0:16:34.080
<v Speaker 4>not just tax clarity too.

0:16:35.400 --> 0:16:38.800
<v Speaker 13>Yeah, that's exactly right. There are calls for clarity across

0:16:38.800 --> 0:16:44.280
<v Speaker 13>the board. Those are largely in Congress's perview. And this

0:16:44.360 --> 0:16:47.000
<v Speaker 13>week in Congress, if we can take a quick shift

0:16:47.040 --> 0:16:48.560
<v Speaker 13>to look at what's going on on the other side

0:16:48.560 --> 0:16:51.960
<v Speaker 13>of Pennsylvania Avenue, there will be this week we're going

0:16:52.000 --> 0:16:56.680
<v Speaker 13>to have action on stable coins and on information reporting

0:16:56.920 --> 0:16:58.720
<v Speaker 13>in taxes. So we're going to see.

0:16:58.720 --> 0:17:00.480
<v Speaker 5>It's a very busy week in these.

0:17:00.320 --> 0:17:03.440
<v Speaker 13>Areas, both coming out of the White House reactions to

0:17:03.480 --> 0:17:06.280
<v Speaker 13>that and actual you know, policymaking on the Hill.

0:17:06.640 --> 0:17:08.480
<v Speaker 3>You mentioned that Congress is going to have to be involved.

0:17:08.520 --> 0:17:11.399
<v Speaker 3>What kind of bipartisanship do we see around crypto.

0:17:11.200 --> 0:17:14.439
<v Speaker 13>Yeah, increasing right, And I think it's important for people

0:17:14.480 --> 0:17:17.639
<v Speaker 13>to realize, especially in the work that I do, that

0:17:17.720 --> 0:17:20.879
<v Speaker 13>every Congress is different, right. And so last year we

0:17:20.960 --> 0:17:24.879
<v Speaker 13>did see a shift over the years for this issue

0:17:24.920 --> 0:17:26.480
<v Speaker 13>to be sort of increasingly partisan.

0:17:27.200 --> 0:17:28.040
<v Speaker 8>But a lot of.

0:17:27.920 --> 0:17:31.040
<v Speaker 13>That was largely to do with the political realities. You

0:17:31.080 --> 0:17:35.440
<v Speaker 13>had the Biden administration that was signaling you know, skepticism, right,

0:17:35.880 --> 0:17:39.400
<v Speaker 13>some would say hostility to some areas of digital assets,

0:17:39.640 --> 0:17:44.800
<v Speaker 13>and the heading into a contentious election year, Democrats were

0:17:44.840 --> 0:17:49.560
<v Speaker 13>going to you know, defer to their party leader. Now

0:17:49.920 --> 0:17:53.400
<v Speaker 13>political wins have shifted, right, we have a Republican controlled Congress.

0:17:53.440 --> 0:17:57.560
<v Speaker 13>Clearly policymaking will be happening in this space and that

0:17:57.760 --> 0:18:02.000
<v Speaker 13>middle that that you know opper coortunity for bipartisanship is

0:18:02.200 --> 0:18:03.800
<v Speaker 13>much broader than it ever has been.

0:18:04.240 --> 0:18:07.200
<v Speaker 3>That's Stacey Rand of zero one Strategies. Thank you so

0:18:07.320 --> 0:18:21.960
<v Speaker 3>much for joining us.

0:18:16.000 --> 0:18:17.960
<v Speaker 4>Time now for talking tech first s up shares of

0:18:17.960 --> 0:18:21.439
<v Speaker 4>Redfin surging today. Rocket Companies has announced a deal to

0:18:21.480 --> 0:18:23.600
<v Speaker 4>buy the real estate listening site for one point seventy

0:18:23.600 --> 0:18:25.800
<v Speaker 4>five billion dollars, paying twelve and a half dollars a

0:18:25.840 --> 0:18:28.960
<v Speaker 4>share in an all stock transaction. Rocket CEO b Oun

0:18:29.000 --> 0:18:31.680
<v Speaker 4>Krishna join Bloomberg Open Interest have this to say about

0:18:31.680 --> 0:18:31.960
<v Speaker 4>the deal.

0:18:32.600 --> 0:18:35.879
<v Speaker 14>We're very excited about this deal. Two of the biggest

0:18:35.880 --> 0:18:39.120
<v Speaker 14>growth opportunities for Rocket that we've talked about are really

0:18:39.160 --> 0:18:42.840
<v Speaker 14>growing in purchase and AI, and by bringing together the

0:18:42.920 --> 0:18:46.480
<v Speaker 14>leading home search website with the leading mortgage finance company,

0:18:47.000 --> 0:18:48.480
<v Speaker 14>we expect to accomplish both.

0:18:49.440 --> 0:18:51.719
<v Speaker 4>US deliver Room it's set to exit from its Hong

0:18:51.800 --> 0:18:54.600
<v Speaker 4>Kong business due to wheat sales and mounting competition. Now,

0:18:54.640 --> 0:18:57.040
<v Speaker 4>the London based delivery company will sell some of its

0:18:57.080 --> 0:19:00.480
<v Speaker 4>assets to rival food Panta, with other assets at the

0:19:00.520 --> 0:19:03.520
<v Speaker 4>delivery app will remain active in Hong Kong until April.

0:19:03.520 --> 0:19:07.200
<v Speaker 4>The seventh and self driving startup Wave says it's near

0:19:07.240 --> 0:19:10.080
<v Speaker 4>a commercial debut with major automakers to launch his driver

0:19:10.119 --> 0:19:11.119
<v Speaker 4>assistance system in the.

0:19:11.200 --> 0:19:12.280
<v Speaker 5>US and in Germany.

0:19:12.400 --> 0:19:12.560
<v Speaker 15>Now.

0:19:12.560 --> 0:19:15.400
<v Speaker 4>The startup is back by SoftBank and Video, Microsoft and Uba,

0:19:15.520 --> 0:19:18.720
<v Speaker 4>also saying that it's AI software can adapt to US

0:19:18.840 --> 0:19:22.800
<v Speaker 4>driving behavior's faster at Wave did not have them mentioned

0:19:22.880 --> 0:19:24.840
<v Speaker 4>a timeline for release or the name of the car

0:19:24.880 --> 0:19:25.520
<v Speaker 4>makers involved.

0:19:25.560 --> 0:19:28.400
<v Speaker 8>Jackie for more on a Wave.

0:19:28.480 --> 0:19:31.720
<v Speaker 3>Dana Wolman joins US now Dana autonomous vehicles are really

0:19:31.720 --> 0:19:34.240
<v Speaker 3>having a moment here. How does Waves stack up to

0:19:34.400 --> 0:19:37.040
<v Speaker 3>what's already on the market and what we've seen so far.

0:19:37.920 --> 0:19:41.199
<v Speaker 16>So for listeners who are unaware, Wave is not a

0:19:41.200 --> 0:19:45.359
<v Speaker 16>consumer facing product, So it specializes in autonomous driving software,

0:19:45.520 --> 0:19:48.119
<v Speaker 16>and as you might imagine, it is AI powered and

0:19:48.240 --> 0:19:51.600
<v Speaker 16>that software goes into various automakers vehicles, and it may

0:19:51.760 --> 0:19:55.040
<v Speaker 16>may not even be branded as Wave in front of consumers.

0:19:55.920 --> 0:19:57.679
<v Speaker 16>So it's not that the consumers can purchase, but it

0:19:57.680 --> 0:19:59.760
<v Speaker 16>may be something they experienced, depending on what car model

0:19:59.760 --> 0:20:01.159
<v Speaker 16>they p purchase in the coming years.

0:20:01.960 --> 0:20:06.240
<v Speaker 4>So the competitive threat is to Tesla FSD, is to

0:20:06.359 --> 0:20:10.880
<v Speaker 4>all the other automated offerings that were about to be consuming, you.

0:20:10.840 --> 0:20:12.879
<v Speaker 16>Know, possibly the likes of Weimo. What I find so

0:20:12.960 --> 0:20:15.520
<v Speaker 16>fascinating about this space is there's a lot of frenemies.

0:20:15.560 --> 0:20:20.160
<v Speaker 16>There are clear competitors, but sometimes depending on the web

0:20:20.160 --> 0:20:23.760
<v Speaker 16>of who's invested in who, a partner could also be

0:20:23.800 --> 0:20:27.200
<v Speaker 16>a sometimes competitor. I think the relationship, for instance, between

0:20:27.280 --> 0:20:30.040
<v Speaker 16>Uber and Weimo is really fascinating in that regard.

0:20:31.880 --> 0:20:34.760
<v Speaker 3>Dana, what does this mean for the market here in

0:20:34.800 --> 0:20:36.879
<v Speaker 3>the United States? Does this mean that it's sort of

0:20:37.000 --> 0:20:40.200
<v Speaker 3>kind of getting crowded when it comes to who's already

0:20:40.240 --> 0:20:43.479
<v Speaker 3>out there putting this software in there. One thing that

0:20:43.600 --> 0:20:46.840
<v Speaker 3>you mentioned that really struck me is that it can

0:20:47.040 --> 0:20:50.199
<v Speaker 3>adapt to us driving behaviors. I mean, are we just

0:20:50.240 --> 0:20:51.080
<v Speaker 3>bad drivers here?

0:20:52.680 --> 0:20:56.080
<v Speaker 16>So that struck me as particularly interesting too. Alongside us

0:20:56.880 --> 0:21:00.159
<v Speaker 16>providing some news today about the company's timeline or this

0:21:00.240 --> 0:21:03.800
<v Speaker 16>vague timeline, the company put out some data today just

0:21:03.840 --> 0:21:06.200
<v Speaker 16>suggesting that it has a newer and more efficient approach

0:21:06.560 --> 0:21:11.360
<v Speaker 16>to adapting its algorithms and its AI models to basically

0:21:11.480 --> 0:21:16.000
<v Speaker 16>US signage and US road rules. And this has been

0:21:16.400 --> 0:21:19.400
<v Speaker 16>a really fascinating topic. It's actually something that Nvidia CEO

0:21:19.520 --> 0:21:23.879
<v Speaker 16>Jensen Wang brought brought up at the company's CES keynote,

0:21:24.160 --> 0:21:26.920
<v Speaker 16>and Jensen in that keynote.

0:21:26.440 --> 0:21:28.320
<v Speaker 8>Talked about how difficult it.

0:21:28.240 --> 0:21:33.119
<v Speaker 16>Is for companies to map local roads safely and efficiently

0:21:33.240 --> 0:21:35.320
<v Speaker 16>at the same time without it just turning into this

0:21:35.359 --> 0:21:40.760
<v Speaker 16>cost effective balloon essentially, And so given that context, it

0:21:40.800 --> 0:21:42.720
<v Speaker 16>was really interesting that Wave came out and said, hey,

0:21:42.760 --> 0:21:45.200
<v Speaker 16>we've got these models and they were trained in Europe,

0:21:45.400 --> 0:21:48.560
<v Speaker 16>but we can really adapt them pretty quickly and easily

0:21:48.640 --> 0:21:51.240
<v Speaker 16>to the uniqueness of US roads.

0:21:52.320 --> 0:21:55.800
<v Speaker 4>No clemen on us THISUS European driving rooms.

0:22:02.600 --> 0:22:04.920
<v Speaker 5>Welcome back to from their technology. I'm Caroline Hide.

0:22:04.720 --> 0:22:08.280
<v Speaker 8>In New York and I'm Jackie Devalas in Washington.

0:22:07.960 --> 0:22:10.240
<v Speaker 4>And we check in these markets that are in cell

0:22:10.280 --> 0:22:10.880
<v Speaker 4>off territory.

0:22:10.920 --> 0:22:11.520
<v Speaker 5>Once again.

0:22:11.880 --> 0:22:14.400
<v Speaker 4>Look, we are questioning growth in the US, we are

0:22:14.480 --> 0:22:18.320
<v Speaker 4>questioning tariff impact in the US, and we're questioning valuations

0:22:18.320 --> 0:22:19.760
<v Speaker 4>of the AI trade were off by the NASA that

0:22:19.840 --> 0:22:22.200
<v Speaker 4>one hundred almost three percent, bouncing off of our lows,

0:22:22.200 --> 0:22:24.359
<v Speaker 4>but nevertheless underwater. We're looking at Bitcoin of by three

0:22:24.400 --> 0:22:27.159
<v Speaker 4>point four percent at one point sub eighty thousand dollars.

0:22:27.320 --> 0:22:29.360
<v Speaker 5>We're still higher than the day of the US.

0:22:29.240 --> 0:22:32.640
<v Speaker 4>Election November last year, but only just Meanwhile, we're training

0:22:32.640 --> 0:22:34.320
<v Speaker 4>at the lowest level than as that one hundred since

0:22:34.320 --> 0:22:35.880
<v Speaker 4>December the eighteenth of last year.

0:22:36.040 --> 0:22:36.960
<v Speaker 5>Move on and have a little.

0:22:37.040 --> 0:22:39.560
<v Speaker 4>Actually the Lowes office in September the worst day on

0:22:39.600 --> 0:22:42.320
<v Speaker 4>the market since December of last year. I'm looking at

0:22:42.440 --> 0:22:44.960
<v Speaker 4>basically the entire mag seven drive bring us lower in

0:22:45.040 --> 0:22:46.200
<v Speaker 4>terms of our points perspective.

0:22:46.440 --> 0:22:49.440
<v Speaker 5>There are zero cell ratings on a number of these names.

0:22:49.520 --> 0:22:52.880
<v Speaker 4>Nvidio zero cell ratings in terms of analyst expectations, Microsoft

0:22:52.960 --> 0:22:55.600
<v Speaker 4>zero cell ratings, but still we go lower, as we

0:22:55.680 --> 0:22:58.439
<v Speaker 4>cannot fathom when we start to see a bottom and

0:22:58.440 --> 0:23:00.680
<v Speaker 4>people start to buy the dip, Teslau as the most

0:23:00.720 --> 0:23:02.760
<v Speaker 4>off by eight and a half percent. We were about

0:23:02.840 --> 0:23:05.159
<v Speaker 4>Chinese growth and we are about a future of AI

0:23:05.200 --> 0:23:08.280
<v Speaker 4>where Ubs cuts their forecast for this year's sales to

0:23:08.359 --> 0:23:10.720
<v Speaker 4>the company. But Microsoft and all these names just in

0:23:10.760 --> 0:23:12.400
<v Speaker 4>the red. But there's much more news when it comes

0:23:12.400 --> 0:23:13.280
<v Speaker 4>to Microsoft.

0:23:12.960 --> 0:23:17.359
<v Speaker 3>Checking that's right, Microsoft has created its own in house

0:23:17.440 --> 0:23:19.639
<v Speaker 3>AI models that it thinks it can go toe to

0:23:19.680 --> 0:23:23.840
<v Speaker 3>toe with industry rivals like open Ai. According to sources,

0:23:23.880 --> 0:23:27.280
<v Speaker 3>Microsoft has been developing a family of models called Mai

0:23:27.440 --> 0:23:29.840
<v Speaker 3>to perform a variety of tasks. For more on this,

0:23:29.880 --> 0:23:33.800
<v Speaker 3>Bloomberg's Matt Day joined just now, Matt, Microsoft has poured

0:23:33.920 --> 0:23:37.400
<v Speaker 3>billions of dollars into open Ai. Why is it developing

0:23:37.520 --> 0:23:38.640
<v Speaker 3>its own models now?

0:23:39.920 --> 0:23:42.960
<v Speaker 17>Well, I think Microsoft wants a hedge at some point,

0:23:43.080 --> 0:23:45.480
<v Speaker 17>right their agreement with open Ai the main one that's

0:23:45.680 --> 0:23:47.520
<v Speaker 17>gotten all this in from all this all this attention

0:23:47.600 --> 0:23:49.800
<v Speaker 17>last couple of years that only runs through twenty thirty.

0:23:50.359 --> 0:23:52.680
<v Speaker 17>That that could be extended hypothetically, But at some point

0:23:52.760 --> 0:23:54.600
<v Speaker 17>Microsoft's going to need to shoulder the burden for its

0:23:54.600 --> 0:23:57.359
<v Speaker 17>own AI services. The company clearly believes that AI is

0:23:57.400 --> 0:23:59.560
<v Speaker 17>the future. And so even though they've been partnering with

0:23:59.600 --> 0:24:02.040
<v Speaker 17>opening Ia real closely, as they say, every time they

0:24:02.040 --> 0:24:03.760
<v Speaker 17>open up their mouths on the subject, you know, they're

0:24:03.760 --> 0:24:05.320
<v Speaker 17>still working on their own models as well.

0:24:05.640 --> 0:24:09.480
<v Speaker 4>We were just talking about frenemies in the AVA side

0:24:09.480 --> 0:24:09.960
<v Speaker 4>of things.

0:24:10.320 --> 0:24:12.680
<v Speaker 5>Is this a question of frenemies? Are they competitors or

0:24:12.720 --> 0:24:13.200
<v Speaker 5>are they ponting?

0:24:13.280 --> 0:24:14.760
<v Speaker 11>Is Matt Well?

0:24:14.880 --> 0:24:17.800
<v Speaker 17>Is it's both? You know, Like I said, they Microsoft

0:24:17.840 --> 0:24:20.080
<v Speaker 17>seeings opening Ice praise as anytime they can, you know,

0:24:20.080 --> 0:24:22.639
<v Speaker 17>but they're also realistic about it, right, They've worked on

0:24:22.720 --> 0:24:24.760
<v Speaker 17>their five models for for a long time. Either are

0:24:24.800 --> 0:24:27.119
<v Speaker 17>smaller set of language models that can run on a laptop,

0:24:27.160 --> 0:24:28.800
<v Speaker 17>or at least they're designed to be smaller than the big,

0:24:28.920 --> 0:24:32.479
<v Speaker 17>big kahunas at chat GPT. But I think both parties

0:24:32.480 --> 0:24:34.800
<v Speaker 17>are are kind of sober and realistic that you know,

0:24:34.920 --> 0:24:36.520
<v Speaker 17>they're going to work together, but they're also going to

0:24:36.520 --> 0:24:37.600
<v Speaker 17>build their own their own.

0:24:37.480 --> 0:24:42.119
<v Speaker 3>Master tramps, Matt, opening Ice technology like chat GPT underpins

0:24:42.119 --> 0:24:45.439
<v Speaker 3>a lot of the existing technology that Microsoft has already

0:24:45.480 --> 0:24:47.400
<v Speaker 3>sold to its enterprise customers.

0:24:47.520 --> 0:24:49.919
<v Speaker 8>Does this move risk spooking that base?

0:24:51.400 --> 0:24:53.680
<v Speaker 17>You know it might, but I think if we're way,

0:24:53.720 --> 0:24:56.720
<v Speaker 17>way way early on that, in part because Microsoft has

0:24:56.760 --> 0:24:59.080
<v Speaker 17>only just started testing, you know, whether they could use

0:24:59.119 --> 0:25:01.760
<v Speaker 17>their own models, like whether they could use non open

0:25:01.800 --> 0:25:04.159
<v Speaker 17>AI models to power pieces of its copilot, which is

0:25:04.160 --> 0:25:06.639
<v Speaker 17>Microsoft's main sort of AI go to market for its

0:25:06.680 --> 0:25:10.080
<v Speaker 17>office user base. So we're probably really really early for that,

0:25:10.119 --> 0:25:12.159
<v Speaker 17>you know. Right now, Microsoft woul tell folks say, we

0:25:12.200 --> 0:25:14.600
<v Speaker 17>still use open AI. That's the industry standard, the state

0:25:14.640 --> 0:25:15.040
<v Speaker 17>of the art.

0:25:16.119 --> 0:25:20.600
<v Speaker 4>Fascinating Deep dive and Microsoft, we thank you, Matt Day. Meanwhile,

0:25:20.680 --> 0:25:22.800
<v Speaker 4>let's talk about more on the Generator of AI. Space,

0:25:22.840 --> 0:25:25.840
<v Speaker 4>a startup from two former researchers at Google's DeepMind, have

0:25:25.920 --> 0:25:28.120
<v Speaker 4>raised one hundred and thirty million dollars for a new company,

0:25:28.240 --> 0:25:32.280
<v Speaker 4>its goal to create AI powered super intelligence. Co founder

0:25:32.480 --> 0:25:37.120
<v Speaker 4>and see of Reflection AI, Misha Laskin joins us. Now, Mischa,

0:25:37.320 --> 0:25:40.240
<v Speaker 4>this is around coding and the fact that coding can

0:25:40.320 --> 0:25:42.920
<v Speaker 4>be done better than a human and not just as

0:25:42.960 --> 0:25:46.240
<v Speaker 4>some sort of copilot, but actually going off and building

0:25:46.280 --> 0:25:47.120
<v Speaker 4>the code itself.

0:25:47.840 --> 0:25:50.400
<v Speaker 18>That's right, Thank you for having me. So to take

0:25:50.440 --> 0:25:54.160
<v Speaker 18>a step back, we're team of researchers and engineers from

0:25:54.720 --> 0:25:57.719
<v Speaker 18>formerly Frontier labs like deep Mind, where we contributed to

0:25:57.840 --> 0:26:00.600
<v Speaker 18>some of the biggest breakthroughs in AI over the last decade.

0:26:01.000 --> 0:26:02.960
<v Speaker 18>And the mission of the company more broadly is to

0:26:02.960 --> 0:26:07.080
<v Speaker 18>build superintelligence. And what we believe the starting point is

0:26:07.080 --> 0:26:10.520
<v Speaker 18>is exactly what you said, it's building incredibly reliable autonomous

0:26:10.560 --> 0:26:12.520
<v Speaker 18>coding systems. So that's what we're focused on today.

0:26:12.800 --> 0:26:14.359
<v Speaker 5>Deep might not want to do that. Why did you

0:26:14.400 --> 0:26:16.080
<v Speaker 5>have to go off and set off your own company.

0:26:16.520 --> 0:26:19.679
<v Speaker 18>Well, we think it's really important to not just do

0:26:19.800 --> 0:26:22.600
<v Speaker 18>research in the wild, but to be really closely coupled

0:26:22.600 --> 0:26:25.119
<v Speaker 18>to product and customers. A model that we have the

0:26:25.119 --> 0:26:27.800
<v Speaker 18>company that the only EVAW that really matters is the

0:26:27.840 --> 0:26:30.360
<v Speaker 18>real world EVAO and so we felt that by being

0:26:30.400 --> 0:26:32.240
<v Speaker 18>really close to the customers, we'd be able to see

0:26:32.280 --> 0:26:33.200
<v Speaker 18>through the mission better.

0:26:34.800 --> 0:26:37.640
<v Speaker 3>I mean, when I think about coding assistance, I think

0:26:37.680 --> 0:26:42.399
<v Speaker 3>about Microsoft Gethub copilot. It's extremely popular amongst the coding

0:26:42.400 --> 0:26:45.520
<v Speaker 3>community out there, and I'm curious what kind of reaction

0:26:45.640 --> 0:26:48.600
<v Speaker 3>you've seen from your customer base with the notion that

0:26:48.800 --> 0:26:51.159
<v Speaker 3>you want your tool to be able to do it

0:26:51.200 --> 0:26:54.000
<v Speaker 3>on its own versus kind of have this human intervention

0:26:54.320 --> 0:26:55.240
<v Speaker 3>alongside of it.

0:26:56.160 --> 0:26:57.159
<v Speaker 5>That's a really good question.

0:26:57.840 --> 0:27:00.879
<v Speaker 18>So, actually, we've found that the tool, both internally at

0:27:00.880 --> 0:27:03.879
<v Speaker 18>Reflection and the way our customers use it is incredibly

0:27:03.920 --> 0:27:07.719
<v Speaker 18>empowering because it allows engineers to focus on the stuff

0:27:07.960 --> 0:27:10.040
<v Speaker 18>that is really high priority and they want to work on,

0:27:10.320 --> 0:27:13.160
<v Speaker 18>and we kind of take the more tedious work off

0:27:13.200 --> 0:27:16.080
<v Speaker 18>their plates. So we kind of think of an engineer

0:27:16.160 --> 0:27:20.040
<v Speaker 18>of evolving over the next few years and becoming basically

0:27:20.040 --> 0:27:22.880
<v Speaker 18>an architect that has an army of these one hundred

0:27:23.000 --> 0:27:25.600
<v Speaker 18>AI engineers working for them and helping them see their

0:27:25.640 --> 0:27:26.160
<v Speaker 18>visions through.

0:27:27.560 --> 0:27:30.720
<v Speaker 3>When I hear super intelligence, I remember a lot of

0:27:30.760 --> 0:27:34.040
<v Speaker 3>the initial more existential kind of concerns that we're coming

0:27:34.119 --> 0:27:37.480
<v Speaker 3>up at the really beginning of chat GBT taking the

0:27:37.480 --> 0:27:39.760
<v Speaker 3>world by storm, And just last year we saw a

0:27:39.800 --> 0:27:43.440
<v Speaker 3>wave of AI safety focus researchers and leaving open AI.

0:27:43.520 --> 0:27:47.119
<v Speaker 3>I'm curious how you're going about the safety conversation.

0:27:47.200 --> 0:27:48.280
<v Speaker 8>A year afterward.

0:27:49.960 --> 0:27:52.600
<v Speaker 18>That's also a really good question. Safety is definitely one

0:27:52.600 --> 0:27:53.359
<v Speaker 18>of the things we.

0:27:53.320 --> 0:27:54.359
<v Speaker 8>Care about a lot.

0:27:54.880 --> 0:27:57.359
<v Speaker 18>This is a lot of the work in safety is

0:27:57.400 --> 0:28:00.880
<v Speaker 18>traced back to what's called reinforcement learning from feedback, which

0:28:00.920 --> 0:28:03.960
<v Speaker 18>is what our team led at Gemini, and the way

0:28:04.000 --> 0:28:06.680
<v Speaker 18>we think about safety is from a very practical perspective.

0:28:07.000 --> 0:28:10.240
<v Speaker 18>We believe that superintelligence cannot be built in a vacuum,

0:28:10.359 --> 0:28:12.879
<v Speaker 18>and so it's really important that you iterate closely with

0:28:12.920 --> 0:28:15.719
<v Speaker 18>customers and users and make sure that these systems are

0:28:15.760 --> 0:28:18.320
<v Speaker 18>aligned from day one with their needs and are put

0:28:18.359 --> 0:28:19.320
<v Speaker 18>on the right guardrails.

0:28:20.160 --> 0:28:24.400
<v Speaker 4>Many are worried ultimately about whether this disrupts the labor force.

0:28:24.560 --> 0:28:26.320
<v Speaker 4>You're saying, look, you're just going to free up the

0:28:26.359 --> 0:28:28.960
<v Speaker 4>engineers to do even more, But ultimately, what talent do

0:28:29.000 --> 0:28:31.400
<v Speaker 4>you need right here, right now and in the longer

0:28:31.480 --> 0:28:32.760
<v Speaker 4>term will you need as much talent?

0:28:33.720 --> 0:28:37.600
<v Speaker 18>Well, the challenging thing, both today and in the future

0:28:38.080 --> 0:28:40.760
<v Speaker 18>is how to ask the right questions, how to design

0:28:40.840 --> 0:28:44.280
<v Speaker 18>the systems so that your AI engineers do the work

0:28:44.320 --> 0:28:46.880
<v Speaker 18>for you. So today a lot of the talent is

0:28:46.960 --> 0:28:51.520
<v Speaker 18>around research and distributed systems engineering and very kind of

0:28:51.600 --> 0:28:55.760
<v Speaker 18>complex engineering tasks. Now AI engineers might help upload some

0:28:55.880 --> 0:28:59.400
<v Speaker 18>of that in the foreseeable future, but I think asking

0:28:59.440 --> 0:29:02.240
<v Speaker 18>the right question will still be a really valuable skill.

0:29:02.960 --> 0:29:06.240
<v Speaker 4>It's quite busy out there in the world of general

0:29:06.280 --> 0:29:09.520
<v Speaker 4>to AI coding assistance and startups that are getting mind

0:29:09.560 --> 0:29:12.520
<v Speaker 4>modeling valuations. The latest was any Sphere coming out with

0:29:12.520 --> 0:29:14.520
<v Speaker 4>a ten billion dollar valuation. We understand they're going to

0:29:14.520 --> 0:29:17.959
<v Speaker 4>be getting money replete. We think about poolside, how are

0:29:18.000 --> 0:29:20.400
<v Speaker 4>you thinking about standing out from the crowd and continuing

0:29:20.400 --> 0:29:22.960
<v Speaker 4>to be able to raise significant amounts of private money.

0:29:23.840 --> 0:29:28.240
<v Speaker 18>What we're building is significantly different from the existing suite

0:29:28.280 --> 0:29:30.600
<v Speaker 18>of coding AI products today. The way we think about

0:29:30.600 --> 0:29:33.600
<v Speaker 18>the existing Coding Eye products is akin to a cruise

0:29:33.600 --> 0:29:37.520
<v Speaker 18>control for engineers. This is really useful, but the engineer

0:29:37.600 --> 0:29:40.240
<v Speaker 18>still does most of the driving. We're building systems that

0:29:40.280 --> 0:29:43.640
<v Speaker 18>are fundamentally autonomous from day one that you give You're

0:29:43.640 --> 0:29:45.320
<v Speaker 18>give them the task and they take you from point

0:29:45.320 --> 0:29:47.680
<v Speaker 18>A to point B and they need to do so reliably.

0:29:47.760 --> 0:29:50.720
<v Speaker 18>And to do that, you need to drive fundamental breakthroughs

0:29:50.720 --> 0:29:53.000
<v Speaker 18>in intelligence, and that's what our team is focused on.

0:29:54.200 --> 0:29:57.240
<v Speaker 3>That's na Sh'll ask and CEO of Reflection AI, thank

0:29:57.240 --> 0:29:57.840
<v Speaker 3>you so much.

0:29:57.680 --> 0:30:00.480
<v Speaker 8>For joining us coming up v on.

0:30:00.480 --> 0:30:03.040
<v Speaker 3>Tobol I've inspired Capital joined us to talk about the

0:30:03.080 --> 0:30:04.760
<v Speaker 3>future of social commerce.

0:30:05.000 --> 0:30:07.520
<v Speaker 4>Caroline And while we check back in on these public

0:30:07.560 --> 0:30:09.160
<v Speaker 4>markets and they're having a torrid day.

0:30:09.200 --> 0:30:10.000
<v Speaker 5>We're off of our lows.

0:30:10.000 --> 0:30:12.040
<v Speaker 4>We're down by two point six percent, not as much

0:30:12.040 --> 0:30:13.520
<v Speaker 4>as the more than three percent sell off we saw

0:30:13.560 --> 0:30:15.280
<v Speaker 4>earlier in the NASA one hundred, but still the worst

0:30:15.360 --> 0:30:18.000
<v Speaker 4>day since December of last year, mag seven off by

0:30:18.040 --> 0:30:18.600
<v Speaker 4>four percent.

0:30:18.720 --> 0:30:19.200
<v Speaker 5>Stay with us.

0:30:19.280 --> 0:30:31.040
<v Speaker 2>This is Bluebog technology.

0:30:32.680 --> 0:30:35.000
<v Speaker 4>Venture investing is on track to be at its highest

0:30:35.040 --> 0:30:36.239
<v Speaker 4>level since twenty twenty one.

0:30:36.280 --> 0:30:37.880
<v Speaker 5>That's calling to data from Pitchbook.

0:30:38.040 --> 0:30:40.160
<v Speaker 4>But much of that funding is going to start up

0:30:40.200 --> 0:30:41.520
<v Speaker 4>powerhouses open.

0:30:41.320 --> 0:30:42.320
<v Speaker 5>AI and reill.

0:30:42.760 --> 0:30:44.440
<v Speaker 4>Let's talk about what it means for the cycle of

0:30:44.480 --> 0:30:47.959
<v Speaker 4>investing with Alexavon Toobo, founder of Inspired Capital, nearly nine

0:30:48.040 --> 0:30:51.400
<v Speaker 4>hundred million dollars in assets under management, three funds, generalist

0:30:51.520 --> 0:30:53.560
<v Speaker 4>early stage, but how much of you had to just

0:30:53.640 --> 0:30:55.520
<v Speaker 4>focus in on the generative AI trade.

0:30:55.720 --> 0:30:59.440
<v Speaker 19>There is obviously so much happening with AI RI at large,

0:30:59.680 --> 0:31:02.040
<v Speaker 19>and I think it hits so many verticals. So for us,

0:31:02.120 --> 0:31:04.200
<v Speaker 19>we're very thesis driven, and you know the future of

0:31:04.200 --> 0:31:06.520
<v Speaker 19>social commerce, which I know we're talking about today. We've

0:31:06.560 --> 0:31:08.840
<v Speaker 19>had a three year thesis that we've just been thoughtfully

0:31:08.880 --> 0:31:11.240
<v Speaker 19>executing and so that's how we like to do our work.

0:31:11.360 --> 0:31:13.640
<v Speaker 4>Okay, So when you're thinking about a thesis such as

0:31:13.800 --> 0:31:16.880
<v Speaker 4>social commas, that is how AI can interweave with my

0:31:16.960 --> 0:31:19.680
<v Speaker 4>social experience and some many my scholping experience becomes that much,

0:31:19.720 --> 0:31:20.240
<v Speaker 4>we'll talk with it.

0:31:20.320 --> 0:31:21.120
<v Speaker 8>That's exactly right.

0:31:21.200 --> 0:31:23.440
<v Speaker 19>So in our point of view, you'll have the huge

0:31:23.520 --> 0:31:26.840
<v Speaker 19>open AI, the lms, the perplexities of the world, but

0:31:26.840 --> 0:31:29.120
<v Speaker 19>there will be an AI application layer above that. So,

0:31:29.160 --> 0:31:31.080
<v Speaker 19>for example, we back to a company called duck Bill,

0:31:31.440 --> 0:31:33.960
<v Speaker 19>and what duck Bill does is get snowed you exactly

0:31:34.120 --> 0:31:36.680
<v Speaker 19>knows how many children you have, what products you're interested in,

0:31:36.760 --> 0:31:38.600
<v Speaker 19>and then serves them up for you. So it takes

0:31:38.600 --> 0:31:42.240
<v Speaker 19>discovery from going to Google and hunting for that birthday product.

0:31:42.360 --> 0:31:45.040
<v Speaker 19>My daughter turns ten this month. For example, duck Bill

0:31:45.080 --> 0:31:47.480
<v Speaker 19>this morning alerted me here are products you should.

0:31:47.200 --> 0:31:49.200
<v Speaker 8>Think about buying and should we buy them?

0:31:49.240 --> 0:31:51.680
<v Speaker 19>And the answer is yes, thank you, but very very

0:31:51.760 --> 0:31:54.360
<v Speaker 19>very customized AI based on who you are, and these

0:31:54.560 --> 0:31:56.840
<v Speaker 19>llms really get to know you and then recommend products.

0:31:58.000 --> 0:32:02.320
<v Speaker 3>Alex, So what have you seen from like consumer behavior studies?

0:32:02.720 --> 0:32:04.720
<v Speaker 8>Do people actually like that?

0:32:04.800 --> 0:32:07.240
<v Speaker 3>Because when I think about seeing a lot of these

0:32:07.280 --> 0:32:09.520
<v Speaker 3>targeted ads, the first thing that goes to my mind

0:32:09.600 --> 0:32:11.840
<v Speaker 3>is how do they know this? Am I giving them

0:32:11.840 --> 0:32:15.520
<v Speaker 3>permission to be able to scrape whatever data to give

0:32:15.520 --> 0:32:18.840
<v Speaker 3>me this wonderful recommendation for shoes or whatever it might be.

0:32:19.360 --> 0:32:21.720
<v Speaker 8>What are we seeing from the consumer side of things.

0:32:21.760 --> 0:32:25.640
<v Speaker 19>So, for example, and again just sticking with Duckbill, Duckbill

0:32:25.840 --> 0:32:29.760
<v Speaker 19>is a platform that you give information to, you tell it.

0:32:29.800 --> 0:32:33.240
<v Speaker 19>So it's all stuff that you have downloaded in terms

0:32:33.240 --> 0:32:35.800
<v Speaker 19>of your budgets and what you like to spend, where

0:32:35.840 --> 0:32:38.560
<v Speaker 19>you like to buy flowers, from, what your kid's interests are.

0:32:38.600 --> 0:32:42.320
<v Speaker 19>And then from there the recommendations keep getting better based

0:32:42.360 --> 0:32:44.960
<v Speaker 19>on their AI infrastructure of things you've allowed.

0:32:45.280 --> 0:32:46.800
<v Speaker 8>So that is all opt.

0:32:46.600 --> 0:32:50.320
<v Speaker 19>In and I would just say incredibly simple and making

0:32:50.320 --> 0:32:52.680
<v Speaker 19>your life better in terms of executing on products.

0:32:54.040 --> 0:32:56.640
<v Speaker 3>When it comes to where humans are left in this

0:32:56.840 --> 0:33:00.640
<v Speaker 3>social commerce thesis, because when I go on tip I

0:33:00.680 --> 0:33:04.400
<v Speaker 3>love seeing product recommendations, whether or not they're sponsored by

0:33:04.400 --> 0:33:07.200
<v Speaker 3>a person, it's the human that's making the recommendation that's

0:33:07.240 --> 0:33:09.840
<v Speaker 3>really the sell for me. How does this fit into

0:33:09.960 --> 0:33:12.840
<v Speaker 3>how you're going about looking for companies in this space?

0:33:12.880 --> 0:33:13.920
<v Speaker 5>That's exactly where Jackie.

0:33:13.960 --> 0:33:16.400
<v Speaker 19>So Jackie on the other end of that spectrum where

0:33:16.480 --> 0:33:19.560
<v Speaker 19>an AI brain is recommending a product to you. In

0:33:19.640 --> 0:33:22.960
<v Speaker 19>the last just few years, AI content has exploded ten

0:33:23.040 --> 0:33:27.880
<v Speaker 19>thousand percent increase of content online videos, written content, et cetera.

0:33:28.160 --> 0:33:30.720
<v Speaker 19>And so we actually have the opposite thesis as well,

0:33:30.760 --> 0:33:32.440
<v Speaker 19>which is the pendulum is going to swing back to

0:33:32.880 --> 0:33:35.760
<v Speaker 19>really trusting brands, products.

0:33:35.320 --> 0:33:36.280
<v Speaker 5>People that you know.

0:33:36.720 --> 0:33:38.280
<v Speaker 19>And so we back to a company, for example, called

0:33:38.320 --> 0:33:41.720
<v Speaker 19>shot My. Shotm just announced a seventy eight million dollar

0:33:41.800 --> 0:33:44.200
<v Speaker 19>Series B and shot My is a platform where you

0:33:44.200 --> 0:33:47.479
<v Speaker 19>can go online and follow the exact people your best friends,

0:33:47.480 --> 0:33:51.880
<v Speaker 19>people in your sphere, or influencers or content creators that

0:33:51.960 --> 0:33:55.920
<v Speaker 19>you trust, the enthusiasts that you love, and then buy

0:33:55.960 --> 0:33:59.040
<v Speaker 19>products directly from their recommendations. And in so many ways, Jackie,

0:33:59.120 --> 0:34:01.640
<v Speaker 19>that shrinks in our down to just the people you

0:34:01.680 --> 0:34:03.880
<v Speaker 19>want to follow, just the things that you're interested in,

0:34:04.120 --> 0:34:06.880
<v Speaker 19>and it's your front door. So again Google no longer

0:34:06.920 --> 0:34:08.920
<v Speaker 19>being your front door. It's going to be your AI

0:34:09.000 --> 0:34:11.400
<v Speaker 19>application layer, and then it's going to be a company

0:34:11.440 --> 0:34:13.799
<v Speaker 19>like shop mine, for example, where you're just buying from

0:34:13.840 --> 0:34:15.279
<v Speaker 19>the people you love and trust, which is how I

0:34:15.400 --> 0:34:17.640
<v Speaker 19>buy offline, and now it's coming online.

0:34:17.719 --> 0:34:20.720
<v Speaker 4>What about if you're actually a creative that can't find

0:34:20.719 --> 0:34:23.640
<v Speaker 4>exactly what you want and you want to make it,

0:34:23.800 --> 0:34:25.759
<v Speaker 4>and you're sort of back in companies that almost get

0:34:25.840 --> 0:34:26.040
<v Speaker 4>rid of.

0:34:26.040 --> 0:34:28.040
<v Speaker 5>The brand entirely, right, We're all going to be our

0:34:28.040 --> 0:34:29.319
<v Speaker 5>own creators in some way.

0:34:29.400 --> 0:34:32.279
<v Speaker 19>That's right, and actually so again on the sort of

0:34:32.320 --> 0:34:35.840
<v Speaker 19>far out there ideas of our thesis is the idea

0:34:35.880 --> 0:34:39.759
<v Speaker 19>that we no longer because of generative AI need Let's

0:34:39.760 --> 0:34:42.200
<v Speaker 19>pretend you and I are buying a white coffee table marble.

0:34:42.360 --> 0:34:44.080
<v Speaker 19>You know, you would take a photo, you would upload

0:34:44.120 --> 0:34:47.120
<v Speaker 19>it online or start hunting on Google seeing pictures. Maybe

0:34:47.120 --> 0:34:49.080
<v Speaker 19>you end up at Etsy, and then you perfect it

0:34:49.120 --> 0:34:52.239
<v Speaker 19>and you buy it, and it's so much work. There's

0:34:52.280 --> 0:34:54.960
<v Speaker 19>a company called Arcade AI where you literally, if you

0:34:54.960 --> 0:34:57.160
<v Speaker 19>can imagine it, you can make it. And what Arcade

0:34:57.200 --> 0:35:00.200
<v Speaker 19>allows you to do is write into gen AI old

0:35:00.239 --> 0:35:03.160
<v Speaker 19>coffee table, three legs, and all of a sudden it

0:35:03.160 --> 0:35:05.040
<v Speaker 19>starts to show it, and then you can tweak the

0:35:05.120 --> 0:35:07.600
<v Speaker 19>picture the way you want it, and then it shows

0:35:07.640 --> 0:35:10.480
<v Speaker 19>you all the places you could buy exactly that table

0:35:10.680 --> 0:35:13.400
<v Speaker 19>by connecting your deaf directly to the makers. So what

0:35:13.480 --> 0:35:16.320
<v Speaker 19>that does is it turns all of us normal everyday

0:35:16.360 --> 0:35:20.080
<v Speaker 19>people into expert creators where you can manufacture your own products,

0:35:20.200 --> 0:35:22.600
<v Speaker 19>which again is a more out there edge of the spectrum,

0:35:22.640 --> 0:35:24.960
<v Speaker 19>but a big, big, big idea in that company's just

0:35:24.960 --> 0:35:25.959
<v Speaker 19>released forty two million.

0:35:26.040 --> 0:35:27.600
<v Speaker 4>I mean in terms of being an expert, you're also

0:35:27.600 --> 0:35:30.160
<v Speaker 4>an expert founder yourself. You built lenves and I can

0:35:30.200 --> 0:35:32.320
<v Speaker 4>imagine at this moment, when you're thinking about a company

0:35:32.320 --> 0:35:35.319
<v Speaker 4>that's building around a global maritch of a building your

0:35:35.320 --> 0:35:36.880
<v Speaker 4>own products, you're getting a lot of cools from these

0:35:36.880 --> 0:35:39.520
<v Speaker 4>founders being like, what do I do in this sonart?

0:35:39.560 --> 0:35:42.360
<v Speaker 4>We've got no consistency in terms of path the direction

0:35:42.440 --> 0:35:44.080
<v Speaker 4>right now from a government level, how.

0:35:43.920 --> 0:35:46.520
<v Speaker 5>Many cools do you feel from your founders right now?

0:35:46.680 --> 0:35:50.000
<v Speaker 19>I mean we often literally see fifty companies a week.

0:35:50.120 --> 0:35:52.840
<v Speaker 19>We are talking to our founders regularly because we're in

0:35:52.840 --> 0:35:55.680
<v Speaker 19>a tectonic shift right as you think about innovation curves,

0:35:55.680 --> 0:35:57.680
<v Speaker 19>we are at the edge of the beginning of a

0:35:57.680 --> 0:36:00.920
<v Speaker 19>brand new innovation curve that is more isaac than anything

0:36:00.960 --> 0:36:03.920
<v Speaker 19>we've seen in the last twenty years. And so I

0:36:03.920 --> 0:36:07.040
<v Speaker 19>think being very thoughtful and precise and again thesis driven

0:36:07.040 --> 0:36:09.719
<v Speaker 19>about where's the world headed, where do we believe the

0:36:09.719 --> 0:36:10.360
<v Speaker 19>world is headed?

0:36:10.360 --> 0:36:11.440
<v Speaker 8>And how do you make those bets?

0:36:11.600 --> 0:36:13.880
<v Speaker 19>And of course that advice we give at inspired to

0:36:13.920 --> 0:36:15.120
<v Speaker 19>all of our founders as well.

0:36:16.360 --> 0:36:16.640
<v Speaker 5>Alex.

0:36:16.640 --> 0:36:18.920
<v Speaker 3>So when I think about shopping, I mean, it's interesting

0:36:18.960 --> 0:36:20.480
<v Speaker 3>that a lot of your companies.

0:36:20.040 --> 0:36:23.239
<v Speaker 8>Are really the software layer. You can't really see it,

0:36:23.320 --> 0:36:24.080
<v Speaker 8>but it's there.

0:36:24.280 --> 0:36:25.840
<v Speaker 3>But at the end of the day, these are products

0:36:25.840 --> 0:36:28.440
<v Speaker 3>that have to arrive at someone's doorstep to kind of

0:36:28.480 --> 0:36:31.520
<v Speaker 3>really finish off that customer experience. We're seeing a lot

0:36:31.560 --> 0:36:34.279
<v Speaker 3>of volatility when it comes to those with exposure to

0:36:34.400 --> 0:36:38.560
<v Speaker 3>manufacturing kind of cariiff concerns. Are any of your companies

0:36:39.280 --> 0:36:42.160
<v Speaker 3>grappling with any of those fears right now? Absolutely?

0:36:42.239 --> 0:36:44.440
<v Speaker 19>I mean, as you think about tariffs and what that

0:36:44.480 --> 0:36:47.120
<v Speaker 19>will look like and products that are being manufactured outside

0:36:47.120 --> 0:36:50.920
<v Speaker 19>of the country, every single one of those founders is

0:36:50.960 --> 0:36:54.280
<v Speaker 19>asking and my co founder and business partner Penny Pritzker,

0:36:54.600 --> 0:36:58.200
<v Speaker 19>we just stated content on tariffs and exactly how people.

0:36:58.000 --> 0:36:59.480
<v Speaker 8>Should proctically think about them.

0:36:59.480 --> 0:37:03.080
<v Speaker 19>And obviously they're very volatile, but I think preparing people

0:37:03.160 --> 0:37:05.560
<v Speaker 19>for the worst of what they should be prepared for

0:37:05.640 --> 0:37:08.319
<v Speaker 19>is how we operate at Inspired and always providing that

0:37:08.360 --> 0:37:10.840
<v Speaker 19>macro lens is critical as people are actually executing in

0:37:10.880 --> 0:37:11.480
<v Speaker 19>the day to day.

0:37:11.760 --> 0:37:14.400
<v Speaker 4>You'll co found A helped build paperless posts into what

0:37:14.440 --> 0:37:15.560
<v Speaker 4>it is Alexa.

0:37:15.920 --> 0:37:17.200
<v Speaker 5>I go back to where we started.

0:37:17.560 --> 0:37:19.640
<v Speaker 4>We started it that VC's having kind of a nice

0:37:19.680 --> 0:37:21.799
<v Speaker 4>dea yep, but certainly in the judges of a I space.

0:37:21.840 --> 0:37:23.760
<v Speaker 4>You've just mentioned a lot of companies getting big series

0:37:23.800 --> 0:37:26.800
<v Speaker 4>B series full of on funding. Is that the environment

0:37:26.800 --> 0:37:28.560
<v Speaker 4>and you'll see right now people all getting money.

0:37:28.560 --> 0:37:30.440
<v Speaker 19>I don't think it's typical. I mean, I think it's

0:37:30.480 --> 0:37:32.279
<v Speaker 19>the haves and have nots. I think you're seeing for

0:37:32.560 --> 0:37:36.879
<v Speaker 19>companies that have big, compelling ideas, huge breakout shop Maize

0:37:36.920 --> 0:37:39.960
<v Speaker 19>revenue has grown exponentially more than ten x in a

0:37:40.000 --> 0:37:42.120
<v Speaker 19>short period of time. And I think you're seeing in

0:37:42.120 --> 0:37:44.759
<v Speaker 19>companies that are really working, the dollars are there, and

0:37:44.800 --> 0:37:46.480
<v Speaker 19>I think then you're also seeing in companies that are

0:37:46.520 --> 0:37:49.520
<v Speaker 19>not working. It's very dry, and so it is a

0:37:49.560 --> 0:37:51.480
<v Speaker 19>tale of the haves and have nots. And I think

0:37:51.520 --> 0:37:53.680
<v Speaker 19>things that are at the forefront of which we have

0:37:53.719 --> 0:37:56.160
<v Speaker 19>a few in our portfolio of AI. I think the

0:37:56.239 --> 0:37:58.920
<v Speaker 19>capital is not only there, it's many funds are there

0:37:58.960 --> 0:38:01.640
<v Speaker 19>at the same time, very very quickly. And so again

0:38:01.680 --> 0:38:03.640
<v Speaker 19>I think when the traction has really proven out, that's

0:38:03.640 --> 0:38:04.959
<v Speaker 19>when you're seeing the capitol.

0:38:04.880 --> 0:38:08.120
<v Speaker 4>NICs on Tobal, great Teyr and managing partner, founder and

0:38:08.160 --> 0:38:08.960
<v Speaker 4>spat capital.

0:38:16.920 --> 0:38:18.440
<v Speaker 2>There's going to be a deal on Tiktoks.

0:38:19.040 --> 0:38:22.680
<v Speaker 13>There could be We're dealing with four different groups and

0:38:22.760 --> 0:38:24.600
<v Speaker 13>a lot of people want it and it's up to me.

0:38:25.480 --> 0:38:27.919
<v Speaker 5>So there could be President Trump.

0:38:27.920 --> 0:38:30.520
<v Speaker 4>They're speaking about efforts to find a buyer for TikTok's

0:38:30.640 --> 0:38:32.239
<v Speaker 4>US business. For more.

0:38:32.280 --> 0:38:35.440
<v Speaker 5>Let's speak to Bloomberg's Kirk Wagner. The clock is sticking.

0:38:35.239 --> 0:38:37.480
<v Speaker 4>Is April the fifth is the time they've got.

0:38:37.640 --> 0:38:38.680
<v Speaker 5>Are we going to have to extend?

0:38:40.239 --> 0:38:41.399
<v Speaker 6>It's very possible, right.

0:38:41.440 --> 0:38:44.440
<v Speaker 15>I mean that comment from President Trump was sort of

0:38:44.520 --> 0:38:47.480
<v Speaker 15>more optimistic, I think than the things that we've been

0:38:47.480 --> 0:38:50.640
<v Speaker 15>hearing from behind the scenes. It really feels like things

0:38:50.680 --> 0:38:53.440
<v Speaker 15>sort of have stalled out. A lot of potential bidders.

0:38:53.440 --> 0:38:56.120
<v Speaker 15>Have you made outreach but not necessarily gotten a lot

0:38:56.120 --> 0:38:59.040
<v Speaker 15>of feedback in return. And so this idea that you

0:38:59.040 --> 0:39:01.439
<v Speaker 15>know there might be four possible groups that are all

0:39:01.640 --> 0:39:04.000
<v Speaker 15>in the mix here, I think makes it sound more

0:39:04.040 --> 0:39:07.520
<v Speaker 15>optimistic again then I was, you know, feeling that it

0:39:07.560 --> 0:39:08.600
<v Speaker 15>was forty eight hours ago.

0:39:08.880 --> 0:39:11.720
<v Speaker 4>Let's talk about in the mix lot, Because we've spoken

0:39:11.760 --> 0:39:14.680
<v Speaker 4>on the show plenty of times to Frank McCourt junior.

0:39:14.960 --> 0:39:17.279
<v Speaker 4>He's with Alexis o'hanian on the one front. We've also

0:39:17.320 --> 0:39:20.279
<v Speaker 4>speaken spoke to Jesse Tinsley, who might or might not

0:39:20.360 --> 0:39:23.200
<v Speaker 4>be powering up with a mister Beast, but certainly he's

0:39:23.239 --> 0:39:26.240
<v Speaker 4>got some other key founders like the Roeblock CEO alongside.

0:39:25.840 --> 0:39:28.359
<v Speaker 5>Him, and then there's sprinkling of others. Who are these four,

0:39:28.440 --> 0:39:28.799
<v Speaker 5>do you think?

0:39:29.800 --> 0:39:30.560
<v Speaker 6>Yeah?

0:39:30.600 --> 0:39:33.359
<v Speaker 15>Well, obviously President Trump didn't name the four, right, So

0:39:33.400 --> 0:39:35.840
<v Speaker 15>we know of three groups that have come out publicly.

0:39:35.880 --> 0:39:38.520
<v Speaker 15>You mentioned two of them, Jesse Tinsley's group, the Frank

0:39:38.600 --> 0:39:42.759
<v Speaker 15>McCourt and Project Liberty Team Perplexity AI has you know,

0:39:43.040 --> 0:39:45.600
<v Speaker 15>supposedly made some type of bid for TikTok as well.

0:39:45.640 --> 0:39:47.279
<v Speaker 15>So those are the three that have sort of been

0:39:47.320 --> 0:39:51.799
<v Speaker 15>public But again we've also heard President Trump sort of

0:39:52.040 --> 0:39:55.240
<v Speaker 15>throw his own names out there, right, Larry Ellison with Oracle,

0:39:55.280 --> 0:39:59.560
<v Speaker 15>Elon Musk of course with his stable of businesses, and

0:39:59.600 --> 0:40:02.000
<v Speaker 15>so we don't know who he's talking about. We only

0:40:02.000 --> 0:40:04.279
<v Speaker 15>know who's raised their hand. But the numbers don't add up.

0:40:04.320 --> 0:40:06.680
<v Speaker 15>He says four, we know of three, so supposedly there

0:40:06.719 --> 0:40:08.719
<v Speaker 15>are some some mystery names still out there, and.

0:40:08.680 --> 0:40:10.600
<v Speaker 5>The numbers are all in a mystery.

0:40:10.280 --> 0:40:13.640
<v Speaker 4>As well, because is it worth up to fifty billion

0:40:13.680 --> 0:40:16.640
<v Speaker 4>dollars for US TikTok If they don't get the underlying algorithms,

0:40:16.680 --> 0:40:18.800
<v Speaker 4>such as with Project Liberty's bid.

0:40:20.320 --> 0:40:20.560
<v Speaker 6>Yeah.

0:40:20.600 --> 0:40:23.279
<v Speaker 15>I think what makes this so complicated is that one

0:40:23.400 --> 0:40:26.000
<v Speaker 15>the range of prices, you know, I believe Project Liberty

0:40:26.120 --> 0:40:29.200
<v Speaker 15>bid twenty five billion, and another group, the Tinsea Group,

0:40:29.200 --> 0:40:32.080
<v Speaker 15>I think, was saying more twenty. We've heard numbers as

0:40:32.160 --> 0:40:34.160
<v Speaker 15>high as fifty, as you mentioned. And I think it

0:40:34.200 --> 0:40:37.359
<v Speaker 15>all depends on what is included in a deal, right,

0:40:37.400 --> 0:40:41.720
<v Speaker 15>doesn't include that underlying algorithm, doesn't include just the brand

0:40:41.760 --> 0:40:42.640
<v Speaker 15>and the user base.

0:40:43.120 --> 0:40:46.200
<v Speaker 6>And also what role does the US government have here? Right?

0:40:46.280 --> 0:40:49.280
<v Speaker 15>President Trump has talked about the US taking fifty percent

0:40:49.320 --> 0:40:51.319
<v Speaker 15>of this, right, and so that has to factor in two.

0:40:51.440 --> 0:40:52.520
<v Speaker 6>Is that even doable?

0:40:52.640 --> 0:40:55.640
<v Speaker 15>So this is not traditional caroline, as you know, And

0:40:56.000 --> 0:40:59.200
<v Speaker 15>so I think that's what makes you know, even basic

0:40:59.320 --> 0:41:02.240
<v Speaker 15>numbers here or ranges here very hard to predict.

0:41:02.520 --> 0:41:04.880
<v Speaker 4>And what's totally unprecedented is the idea that the president

0:41:04.960 --> 0:41:07.560
<v Speaker 4>himself has the time of the bandwidth to be negotiating

0:41:07.560 --> 0:41:10.760
<v Speaker 4>any of this. But it is a geopolitical context because

0:41:11.200 --> 0:41:13.719
<v Speaker 4>China gets sort of a rite of reply in all

0:41:13.760 --> 0:41:15.920
<v Speaker 4>of this, and at one point seems only one Elon

0:41:15.960 --> 0:41:17.000
<v Speaker 4>potentially as a bidder.

0:41:18.040 --> 0:41:20.360
<v Speaker 6>Yeah, well, I point out two things. One, it feels

0:41:20.360 --> 0:41:20.759
<v Speaker 6>like JD.

0:41:20.880 --> 0:41:24.240
<v Speaker 15>Vance, Vice President Vance has actually taken on some responsibility

0:41:24.280 --> 0:41:26.080
<v Speaker 15>for trying to get this over the line, right because

0:41:26.200 --> 0:41:28.200
<v Speaker 15>the President is presumably very.

0:41:28.040 --> 0:41:30.040
<v Speaker 6>Busy, and so he's passed at least some of this

0:41:30.080 --> 0:41:30.640
<v Speaker 6>aft to him.

0:41:30.840 --> 0:41:33.200
<v Speaker 15>The other thing that hasn't really been mentioned here is like,

0:41:33.680 --> 0:41:36.680
<v Speaker 15>just because President Trump wants a deal done does not

0:41:36.760 --> 0:41:38.360
<v Speaker 15>mean a deal is going to get done, right, Like

0:41:38.400 --> 0:41:41.239
<v Speaker 15>bike Dance has to agree to this, and by association,

0:41:41.280 --> 0:41:43.600
<v Speaker 15>pretty much the Chinese government has to agree to any

0:41:43.640 --> 0:41:46.440
<v Speaker 15>type of deal. Right, So he is really representing just

0:41:46.480 --> 0:41:49.520
<v Speaker 15>one side of this equation. And so I think, you know,

0:41:49.600 --> 0:41:52.040
<v Speaker 15>will you factor those two things and again that there

0:41:52.040 --> 0:41:54.080
<v Speaker 15>are four people bidding and I have control over this.

0:41:54.120 --> 0:41:56.400
<v Speaker 15>Those kind of comments from him, I think are lacking

0:41:56.480 --> 0:41:59.160
<v Speaker 15>some major context around the fact that he's not the

0:41:59.160 --> 0:42:00.600
<v Speaker 15>only one who gets to side here.

0:42:01.239 --> 0:42:01.840
<v Speaker 5>Clark sticking.

0:42:02.200 --> 0:42:05.560
<v Speaker 4>Kurt Wagner, thanks for the update on all things TikTok. Meanwhile,

0:42:05.600 --> 0:42:08.440
<v Speaker 4>we take you back to the public markets. Selling pressure remains.

0:42:08.440 --> 0:42:10.320
<v Speaker 4>We're off by three percent on the Nasdaq one hundred

0:42:10.360 --> 0:42:13.080
<v Speaker 4>magnificent seven, having an ugly day of by four and

0:42:13.120 --> 0:42:13.640
<v Speaker 4>a half percent.

0:42:13.640 --> 0:42:14.680
<v Speaker 5>We question US growth.

0:42:14.680 --> 0:42:17.839
<v Speaker 4>We questioned Taris, look about the earnings that we're coming up.

0:42:17.920 --> 0:42:19.120
<v Speaker 5>Of course, this does it for.

0:42:19.120 --> 0:42:21.760
<v Speaker 4>This edition of Blueberg Technology. You don't want to miss

0:42:21.800 --> 0:42:24.600
<v Speaker 4>out on Oracle's numbers. They report after the close today.

0:42:24.760 --> 0:42:26.960
<v Speaker 4>We're off by four percent on Oracle. We question AI

0:42:27.080 --> 0:42:30.080
<v Speaker 4>and the data center. We also talk about AI Human

0:42:30.320 --> 0:42:31.440
<v Speaker 4>X in Las Vegas.

0:42:31.640 --> 0:42:32.680
<v Speaker 5>Join us there tomorrow.

0:42:33.120 --> 0:42:36.480
<v Speaker 2>This is Bloomber Technology