WEBVTT - SpaceX Debuts on then NASDAQ and Oil Moves

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<v Speaker 1>Bloomberg Audio Studios, podcasts, radio news. This is the Bloomberg

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<v Speaker 1>Surveillance Podcast. Catch us live weekdays at seven am Eastern

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<v Speaker 2>Pawn and I've been looking this morning for moments to

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<v Speaker 2>stop and do more traditional prosaic discussions of economics, finance, investment,

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<v Speaker 2>of international invation relations. We can do that with Sarah

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<v Speaker 2>Wolf at Morgan Stanley Thematic macro investing as well. Sarah,

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<v Speaker 2>what's your theme into the rest of twenty twenty six.

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<v Speaker 3>The biggest thing that we're looking at is around multipolar world,

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<v Speaker 3>and I actually think that the SPACEXIPO fits right into this,

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<v Speaker 3>where we really are entering a new frontier of this

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<v Speaker 3>globally fragmented economy where we're seeing intense reshoring, diversification of

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<v Speaker 3>supply chains, and now we're entering new frontiers such as

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<v Speaker 3>space where we're competing with the rest of the world

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<v Speaker 3>on technological innovation and dominating the space atmosphere with satellites.

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<v Speaker 4>So, Sarah, in the context of a broader discussion of

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<v Speaker 4>a of inflation, how does AI fit into that is

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<v Speaker 4>AI inflationary at this point?

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<v Speaker 3>Well, what we're seeing is that amid all this AI

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<v Speaker 3>driven demand, we're seeing increasing supply shocks at the same time,

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<v Speaker 3>and so there's these very fragile choke points that are

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<v Speaker 3>causing prices to rise for things like GPUs, semiconductors, write,

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<v Speaker 3>everything that's going into building out empowering AI. The reality is, though,

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<v Speaker 3>all these things that go into these into these AI

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<v Speaker 3>models are also a lot of the same things that

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<v Speaker 3>go into consumer products. So over the last four or

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<v Speaker 3>five months, we've been seeing this AI story push up

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<v Speaker 3>producer prices and start to bleed into consumer prices as well.

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<v Speaker 3>So at a time when the FED is looking at

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<v Speaker 3>the tariff effects hoping that they're going to be abating

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<v Speaker 3>soon that oil prices are not going to bleed into

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<v Speaker 3>core inflation, we also need to be watching the AI effects.

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<v Speaker 5>On consumer prices.

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<v Speaker 3>And you know, this AI build out story, eight hundred

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<v Speaker 3>billion dollars of capex this year over trillion next year,

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<v Speaker 3>that's likely to be inflation area.

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<v Speaker 2>Okay, So when you and Ellen Zanner sit down over

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<v Speaker 2>tea on this and I'm looking, I'm featuring at twelve

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<v Speaker 2>dollion today the Citadel essay fos Frank Flight that I

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<v Speaker 2>thought was really a nice sum of this the price

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<v Speaker 2>theory Sarah wolf of this is basically falling apart. How

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<v Speaker 2>do you envision the microeconomics, the price discovery, the scarcity dynamic.

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<v Speaker 2>How will that work out over the next eighteen months.

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<v Speaker 3>Over the long run, AI is likely to be deflationary,

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<v Speaker 3>differ inflation.

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<v Speaker 5>We can all agree on that.

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<v Speaker 6>Right.

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<v Speaker 3>Once we get these productivity benefits, it's going to lower

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<v Speaker 3>the cost of goods and services, increase welfare for people.

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<v Speaker 3>But our thesis is that AI adoption and real productivity

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<v Speaker 3>gains are really hard, especially when you look at the

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<v Speaker 3>micro level and a company by company basis. There's a

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<v Speaker 3>lot of work and what we call intangible capex that

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<v Speaker 3>needs to be done at the enterprise level to actually

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<v Speaker 3>see meaningful adoption and see that disinflation area effect. And

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<v Speaker 3>I still think we're quite a bit away from that,

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<v Speaker 3>and over the next eighteen month it's really going to

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<v Speaker 3>be inflation driven by the AI infrastructure capex story before

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<v Speaker 3>we get those productivity gains at the company level.

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<v Speaker 5>Sarah.

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<v Speaker 4>We're going to get a Federal Reserve meeting next week

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<v Speaker 4>and we have a new FED reserve share. I know

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<v Speaker 4>it just popped up on my screen. So what are

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<v Speaker 4>you going to be looking for from the new fedchair.

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<v Speaker 3>Wash, Well, we know from the new fedchair that he

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<v Speaker 3>favors a little bit less communication and there's a lot

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<v Speaker 3>of concern for markets that it's going to cause more

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<v Speaker 3>uncertainty and volatility. My view is that it's not necessarily

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<v Speaker 3>the communication from Kevin Walsh that's going to cause more

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<v Speaker 3>uncertainty of volatility, but it's really what's happening on the

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<v Speaker 3>broader FMC. We're seeing a lack of consensus, more dissents

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<v Speaker 3>on what the future policy paths should be, and that

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<v Speaker 3>is going to cause more uncertainty. For the Fed meeting itself.

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<v Speaker 3>We're going to get a summary of economic projections. The

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<v Speaker 3>last one we got was in March. A lot has

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<v Speaker 3>changed in the last few months. Growth is coming and stronger,

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<v Speaker 3>but at the same time, inslation is higher, and what

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<v Speaker 3>we're seeing among economists and the FMCA is more of

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<v Speaker 3>a consensus that neutral is higher and so that cut

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<v Speaker 3>for this year is going to be taken out of

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<v Speaker 3>the projections, likely a cut or two for next year

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<v Speaker 3>as well, and we're going to be entering this world

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<v Speaker 3>of higher for longer. The last thing I'll say is

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<v Speaker 3>that we do think that that Chair Warsh is going

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<v Speaker 3>to be focused more on these trimmed inflation mean measure Interesting,

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<v Speaker 3>so we know core core PCE is above three percent,

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<v Speaker 3>but if you look at the Dallas trim mean, it's

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<v Speaker 3>closer to two percent. So that's that's a little bit

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<v Speaker 3>more favorable for it your easier policy.

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<v Speaker 5>Okay, I want to get.

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<v Speaker 2>You in trouble. There's a huge you know, how many

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<v Speaker 2>people they have working under Ellen Zenner is Sarah's Wolf,

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<v Speaker 2>It's like forty two people or whatever. In your meeting

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<v Speaker 2>Sarah Wolf. How disparate is trim mean Cleveland and all

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<v Speaker 2>the rest from pc E. What's that research paper look

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<v Speaker 2>like for Monday?

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<v Speaker 3>Well, when if you look at the trim mean, they're

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<v Speaker 3>basically trying to pull out outliers that are causing one

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<v Speaker 3>off pushes in inflation.

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<v Speaker 5>Right, so you have the oil shock, tear shock rate.

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<v Speaker 3>These are not seen as inflationary pressures but price shocks,

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<v Speaker 3>and so these trim means are trying to are trying

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<v Speaker 3>to push out and clean the data for this more

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<v Speaker 3>these more volatile categories of inflation Sarah, okay, well.

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<v Speaker 5>Last please, all right, no please, I'll.

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<v Speaker 3>Add that for the for the for the f OMC,

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<v Speaker 3>and for the FED. Here we saw this over the

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<v Speaker 3>last six years where they like to look at measures

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<v Speaker 3>of inflation that help reinforce their views. So this could

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<v Speaker 3>go out of fashion in the next six month if

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<v Speaker 3>we see the trim mean rise above regular core brilliant.

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<v Speaker 2>Sarah, Well, thank you, thank you so much for the brief, Paul,

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<v Speaker 2>thanks for bringing up to FED how quaint on a

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<v Speaker 2>Friday before the FED meeting. Ms Wolf is with Morgan Stanley.

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<v Speaker 2>Stay with us. More from Bloomberg Surveillance coming up after this.

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<v Speaker 1>You're listening to the Bloomberg Surveillance podcast. Catch us Live

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<v Speaker 1>weekday afternoons from seven to ten am, eas Durn, Listen

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<v Speaker 2>We are advantaged here. There's a side story going on today,

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<v Speaker 2>which is the gamble over what a barrel of oil

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<v Speaker 2>can do. Ed Hers, Senior, Fellow, University of Houston. Here

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<v Speaker 2>in our studios in New York, I see the sharts

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<v Speaker 2>and the graphs that say we're really, really low in

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<v Speaker 2>our storage of oil to find. What that means is

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<v Speaker 2>that like Cushing, Oklahoma, the barrels are almost empty. What

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<v Speaker 2>does it actually mean?

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<v Speaker 7>They're getting really worried and Cushing, we're down to about

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<v Speaker 7>twenty five million barrels in storage. For contrast, when it

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<v Speaker 7>was seventy million barrels in storage and over the price

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<v Speaker 7>went to zero. So twenty twenty five is kind of

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<v Speaker 7>at the bottom of the operating range. We're well past

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<v Speaker 7>the five year averages on the downside and or outside

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<v Speaker 7>that band, if you will, and the twenty million. We're

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<v Speaker 7>moving barrels here there, and we're about to get to

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<v Speaker 7>a point where it's difficult to mix or match the

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<v Speaker 7>supplies to the refineries we need.

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<v Speaker 2>Do you agree with many quotes mid July, first week

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<v Speaker 2>of July, lest week of July. At some point out there,

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<v Speaker 2>boom we get higher oil prices.

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<v Speaker 7>Absolutely. I can't argue with the CEOs of Exon and Chevron.

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<v Speaker 7>That's a losing game. They don't ever come out and

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<v Speaker 7>make public announcements like this. You know, it's the physical market.

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<v Speaker 7>And we've already seen jet fuel at two hundred dollars

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<v Speaker 7>a barrel in northern Europe. We've seen diesel at one

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<v Speaker 7>hundred and fifty dollars a barrel. Here in the US,

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<v Speaker 7>we're really fortunate. We've we've got plenty. We produce about

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<v Speaker 7>fourteen million barrels a day. We export about four and

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<v Speaker 7>a half on average. We imported six point two last

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<v Speaker 7>year at four plus from Canada and that's not going anywhere.

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<v Speaker 7>You know, from the Straight and Foremos we were only

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<v Speaker 7>getting about four hundred and ninety thousand barrels a day.

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<v Speaker 7>You know, we can buy it, but what we're doing

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<v Speaker 7>is we're selling it. I mean, anyone with a commercial

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<v Speaker 7>inventory sold it. In the second week, Exxon chartered tankers

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<v Speaker 7>and started sending gasoline to Asia.

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<v Speaker 2>Magic day for US in Hydrocarbon's Anne Marie Horden, Paul,

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<v Speaker 2>It's the Bloomberg Energy Security Executive briefing in Houston in Edharst, Houston.

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<v Speaker 2>Michael Wurst, Mike Worth, engineer from Colorado, Chevron's CEO, will

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<v Speaker 2>be with Annry Horden.

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<v Speaker 5>Look for that eleven o'clock.

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<v Speaker 4>It peace breaks up today, How long will it take

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<v Speaker 4>to really get oil flowing? It seems like there's ships

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<v Speaker 4>on both sides of this straight here. How does that

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<v Speaker 4>play out logistically?

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<v Speaker 7>It's not just the ships, but it does take time.

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<v Speaker 7>The US Navy has said it'll take three months to

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<v Speaker 7>make sure the Strait is clear of minds, and probably

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<v Speaker 7>with the way the US has attacked the Iranian mind layers,

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<v Speaker 7>Iran doesn't know where the mines are. And you know,

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<v Speaker 7>the intel sources in Washington are saying that Iran has

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<v Speaker 7>now let the genie out of the bottle, or the

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<v Speaker 7>US has left the gen out of the bottle and

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<v Speaker 7>shown that Iran has controlled the straight, the one hundreds

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<v Speaker 7>of miles along the strait, and they've got drones that

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<v Speaker 7>you know, we could buy a target at Walmart that

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<v Speaker 7>they put some explosives on, can fly into the bridge

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<v Speaker 7>of a ship. There's no way to defend against that.

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<v Speaker 7>And it's Iran has been stating that they're going to

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<v Speaker 7>maintain the straight, put a toll on it. That's that's

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<v Speaker 7>going to be a cost going forward. So at least

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<v Speaker 7>three months to clear the strait to get back to

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<v Speaker 7>what may be normal throughput. But Kuwait's got to put

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<v Speaker 7>its wells back online. Saudi Arabia has had a bunch

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<v Speaker 7>of well shut in. Remember Cutter has lost its LNG

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<v Speaker 7>market for now, part of it won't be back for

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<v Speaker 7>at least three to five years as they rebuild, and

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<v Speaker 7>that's a big hit on the diesel market because a

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<v Speaker 7>lot of nations are using diesel in place of the LNG.

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<v Speaker 7>So the market to get back to pre war types

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<v Speaker 7>of levels maybe eight months at best. Don't think it's

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<v Speaker 7>going to get below seventy dollars a barrow.

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<v Speaker 4>What are the US producers doing? I mean, I feel

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<v Speaker 4>like I want to run down the Houston and put

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<v Speaker 4>a hole in the ground and start filling oil. I

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<v Speaker 4>can make money at ninety dollars a barrel. I watched Landman.

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<v Speaker 4>I don't know how to do this stuff.

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<v Speaker 8>How's this going?

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<v Speaker 5>Landman?

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<v Speaker 3>Is?

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<v Speaker 7>The real world is just so much worse than Landman?

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<v Speaker 5>Okay, really absolutely? Now I'm sitting up interesting discuss. Let's

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<v Speaker 5>stop the show right here.

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<v Speaker 2>What does Landman's greed and voracious drama get wrong?

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<v Speaker 7>You know, go back to the television show Dallas. I

0:11:35.320 --> 0:11:37.920
<v Speaker 7>mean that was much more like it. The Shenanigans, the

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<v Speaker 7>double dealing, the things behind the curtain that no one

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<v Speaker 7>in the real world ever sees. Right now, we're seeing

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<v Speaker 7>a lot of the smaller independence and especially the royalty

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<v Speaker 7>funds running for the exits as fast as they can

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<v Speaker 7>because they played Lucy Goosey with all of their back

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<v Speaker 7>room data stuff. You know, don't trust a the AI

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<v Speaker 7>overlays that people are putting on royalty payments, payments to owners.

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<v Speaker 7>Those aren't lining up, and the accounting companies, the auditors

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<v Speaker 7>can't catch it. They aren't going back to the paper trails.

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<v Speaker 2>Is this like lunches at the grove? Like are you

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<v Speaker 2>at the grove three times a week in Houston?

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<v Speaker 4>Oh?

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<v Speaker 7>Gosh no, no, guess I was thinking of the Avalon Diner.

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<v Speaker 7>That's that's where people go. And you know, so so

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<v Speaker 7>a lot of the companies, and we saw this with Exon.

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<v Speaker 7>Exon just dismissed its trader, you know, did what can

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<v Speaker 7>only be called a bonehead swap at say, seventy dollars

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<v Speaker 7>a barrel, and so missed out on all the upside.

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<v Speaker 7>You know, everybody who teaches options trading says, never give

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<v Speaker 7>away the volatility, and for some reason Exon did that.

0:12:54.600 --> 0:12:57.480
<v Speaker 7>And the irony is, you know, Lee Raymond just passed away.

0:12:57.520 --> 0:13:02.280
<v Speaker 7>In a forest cover story, his last cover story before

0:13:02.320 --> 0:13:04.400
<v Speaker 7>he stepped down, he said, I don't do trading. We

0:13:04.559 --> 0:13:07.400
<v Speaker 7>don't trade, and hedge at Exon. Why would I need

0:13:07.440 --> 0:13:09.640
<v Speaker 7>to be an oil company? Would I would just have

0:13:09.720 --> 0:13:14.880
<v Speaker 7>a couple of traders for the volume, the financial I

0:13:14.880 --> 0:13:17.600
<v Speaker 7>wouldn't need geologist, I wouldn't need engineers. I wouldn't need

0:13:17.600 --> 0:13:21.560
<v Speaker 7>finance guys. And so it's really astonishing to see Exon

0:13:21.600 --> 0:13:24.480
<v Speaker 7>take this huge hit crazy because it's the price has

0:13:24.480 --> 0:13:26.679
<v Speaker 7>gone up to ninety and one hundred dollars a barrel.

0:13:26.720 --> 0:13:29.600
<v Speaker 7>Exon hasn't been able to participate in that. Oh, they're

0:13:29.679 --> 0:13:31.600
<v Speaker 7>still collecting seventy dollars a barrel.

0:13:31.720 --> 0:13:34.200
<v Speaker 2>You know, Paul, you can go Nuaves's Ranchero's at the

0:13:34.200 --> 0:13:36.359
<v Speaker 2>Avalon Diner, or you can get the chicken.

0:13:36.120 --> 0:13:38.960
<v Speaker 5>Fried steak, which I mean, a guy, I love that.

0:13:39.040 --> 0:13:41.559
<v Speaker 2>This is good, Ess, this is editors recommended.

0:13:41.720 --> 0:13:44.400
<v Speaker 5>Yeah, it's quite good. It's quite good.

0:13:44.640 --> 0:13:46.800
<v Speaker 2>We're gonna do a remote forget about Anne Marie Horden

0:13:46.880 --> 0:13:50.600
<v Speaker 2>in Houston. We're doing surveillance at the Avalon Diner. Professor Hurst,

0:13:50.600 --> 0:13:53.760
<v Speaker 2>thank you so much for joining us with serious wisdom

0:13:53.800 --> 0:13:59.160
<v Speaker 2>here on a gallon of gasoline aparrell of oil.

0:13:59.520 --> 0:14:00.480
<v Speaker 5>Stay with the US.

0:14:00.480 --> 0:14:03.760
<v Speaker 2>More from Bloomberg Surveillance coming up after this.

0:14:10.960 --> 0:14:14.559
<v Speaker 1>You're listening to the Bloomberg Surveillance Podcast. Catch us live

0:14:14.600 --> 0:14:17.800
<v Speaker 1>weekday afternoons from seven to ten am Eastern. Listen on

0:14:17.840 --> 0:14:21.520
<v Speaker 1>Applecarplay and Android Auto with the Bloomberg Business app, or

0:14:21.680 --> 0:14:23.160
<v Speaker 1>watch us live on YouTube.

0:14:23.320 --> 0:14:27.400
<v Speaker 2>Chimpbell Harvey joins us from Duke University. Right now, Cam,

0:14:27.520 --> 0:14:31.240
<v Speaker 2>congratulations on this work with Rob. Are not you shake

0:14:31.280 --> 0:14:36.400
<v Speaker 2>to your foundations the core value growth paradigm.

0:14:36.880 --> 0:14:41.360
<v Speaker 5>If that doesn't work anymore, what does work well?

0:14:41.360 --> 0:14:45.360
<v Speaker 8>I think we need to look at it differently. And traditionally,

0:14:46.320 --> 0:14:51.440
<v Speaker 8>what's not a value stock is a growth stock. And indeed,

0:14:51.560 --> 0:14:54.800
<v Speaker 8>if you look at, for example, the Russell one thousand

0:14:54.960 --> 0:14:59.080
<v Speaker 8>value and the Russell one thousand growth, and you put

0:14:59.080 --> 0:15:03.280
<v Speaker 8>a portfolio of those two together, then you get the

0:15:03.400 --> 0:15:08.200
<v Speaker 8>Russell one thousand, And that means that if the stock

0:15:08.520 --> 0:15:11.800
<v Speaker 8>is not in the value portfolio, it's in the growth portfolio,

0:15:12.120 --> 0:15:16.200
<v Speaker 8>which means and this is kind of in a way shocking,

0:15:16.960 --> 0:15:24.080
<v Speaker 8>that people will be holding expensive and expensive I mean

0:15:24.200 --> 0:15:29.880
<v Speaker 8>like highpe ratio low growth stocks, and that doesn't make

0:15:29.960 --> 0:15:34.880
<v Speaker 8>any sense whatsoever. So there's a good reason potentially to

0:15:35.080 --> 0:15:39.960
<v Speaker 8>hold in like an expensive high growth stock. It's expensive

0:15:40.000 --> 0:15:44.280
<v Speaker 8>because growth is by but to hold an expensive low

0:15:44.280 --> 0:15:50.000
<v Speaker 8>growth stock that's baffling. So our paper kind of sketches

0:15:50.080 --> 0:15:55.240
<v Speaker 8>a new approach where expensive low growth is excluded from

0:15:55.280 --> 0:15:56.160
<v Speaker 8>any portfolio.

0:15:56.960 --> 0:15:59.160
<v Speaker 2>What's in storting on one more question than this, because

0:15:59.200 --> 0:16:00.840
<v Speaker 2>Paul's looking at me, going we got to talk to

0:16:00.880 --> 0:16:04.320
<v Speaker 2>Kim about SpaceX. But you know, I look Professor Hervey

0:16:04.360 --> 0:16:06.640
<v Speaker 2>at this and it seems to be a complete shift

0:16:07.120 --> 0:16:08.960
<v Speaker 2>towards the joke of Stephen Colbert.

0:16:09.080 --> 0:16:15.480
<v Speaker 8>Growthiness is value dead, No, not at all. So what's

0:16:15.640 --> 0:16:21.840
<v Speaker 8>dead is investing in expensive low growth stocks in my opinion.

0:16:22.400 --> 0:16:26.440
<v Speaker 8>But those stocks are losers historically and they should not

0:16:26.560 --> 0:16:31.640
<v Speaker 8>be in your portfolio. So growth should be measured by

0:16:31.760 --> 0:16:35.560
<v Speaker 8>growth metrics, sales growth, profitability, growth, R and D growth.

0:16:35.760 --> 0:16:39.800
<v Speaker 8>Not the stock is expensive, that's not good enough. We

0:16:39.840 --> 0:16:42.400
<v Speaker 8>need to look at fundamental and that's why our paper

0:16:42.440 --> 0:16:43.480
<v Speaker 8>is called Fundamental Growth.

0:16:43.520 --> 0:16:47.800
<v Speaker 5>This is great pity. Just subscribe SpaceX exactly.

0:16:48.160 --> 0:16:51.440
<v Speaker 4>So Kim, we do have a pretty notable IPO that's

0:16:51.440 --> 0:16:56.160
<v Speaker 4>going to begin trading today. SpaceX ipo valuation, I think

0:16:56.160 --> 0:16:59.520
<v Speaker 4>the also tell me is ninety five times revenue. Talk

0:16:59.560 --> 0:17:02.160
<v Speaker 4>to us about what this kind of deal means to you,

0:17:02.280 --> 0:17:05.240
<v Speaker 4>and at one of the key issues is what is

0:17:05.400 --> 0:17:08.320
<v Speaker 4>go to need in the various stock indices out there.

0:17:09.920 --> 0:17:13.480
<v Speaker 8>Yeah, so this is a stock that is high growth

0:17:14.080 --> 0:17:18.040
<v Speaker 8>and it will be expensive, and you mentioned one metric.

0:17:19.600 --> 0:17:25.280
<v Speaker 8>It's expensive, and that often means that the expected return

0:17:25.359 --> 0:17:29.040
<v Speaker 8>going forward is going to be modest. And indeed, if

0:17:29.080 --> 0:17:34.080
<v Speaker 8>you look historically at IPOs of large firms and you

0:17:34.119 --> 0:17:38.159
<v Speaker 8>look at the performance over the next three years, it

0:17:38.240 --> 0:17:44.000
<v Speaker 8>is essentially flat compared to the market. So the IPO,

0:17:44.320 --> 0:17:48.480
<v Speaker 8>by the time it gets to IPO, these stocks are

0:17:48.680 --> 0:17:53.800
<v Speaker 8>often fully priced and all of the action, the explosive

0:17:53.880 --> 0:17:59.000
<v Speaker 8>growth happened before the IPO when those are so called

0:17:59.080 --> 0:18:05.560
<v Speaker 8>accredited investors and insiders were transacting in the stock. So

0:18:05.600 --> 0:18:08.720
<v Speaker 8>what I'm saying is the big upside has already happened.

0:18:09.320 --> 0:18:11.680
<v Speaker 8>So those that bought the stock for ten dollars or

0:18:11.680 --> 0:18:17.200
<v Speaker 8>one hundred dollars, they got the explosive growth, and the

0:18:17.240 --> 0:18:22.040
<v Speaker 8>retail or the average investor is left with the residual,

0:18:22.359 --> 0:18:26.960
<v Speaker 8>the dregs. They could not buy the stock earlier on

0:18:27.080 --> 0:18:30.720
<v Speaker 8>because they are not accredited or qualified.

0:18:30.800 --> 0:18:31.000
<v Speaker 5>Yep.

0:18:31.520 --> 0:18:35.280
<v Speaker 4>Bloomberg had some reporting yesterday at CAM that the demand

0:18:35.560 --> 0:18:39.320
<v Speaker 4>from retail investors in the pre market trading exceeded one

0:18:39.400 --> 0:18:44.040
<v Speaker 4>hundred billion dollars for seventy five billion dollar offering. Here,

0:18:44.200 --> 0:18:47.320
<v Speaker 4>it sounds like retail nonetheless is going to participate in

0:18:47.359 --> 0:18:47.800
<v Speaker 4>a big way.

0:18:48.920 --> 0:18:52.920
<v Speaker 8>So again there's a good reason for that demand. This

0:18:52.960 --> 0:18:58.119
<v Speaker 8>will be likely the number seven largest stock in the

0:18:58.240 --> 0:19:03.560
<v Speaker 8>US by total market capitalization. It is reasonable for retail

0:19:03.600 --> 0:19:08.040
<v Speaker 8>investors to diversify their portfolio, so they want some of

0:19:08.080 --> 0:19:12.840
<v Speaker 8>the stock. I understand that. So the problem is that

0:19:12.880 --> 0:19:17.240
<v Speaker 8>they're getting in at a very high price. So SpaceX

0:19:17.560 --> 0:19:23.080
<v Speaker 8>I'm looking at the drivatives market is one seventy seven already,

0:19:23.160 --> 0:19:27.280
<v Speaker 8>so and you're not getting in necessarily at the allocation

0:19:27.400 --> 0:19:30.240
<v Speaker 8>price of one thirty five. You're getting in at the close.

0:19:30.760 --> 0:19:32.919
<v Speaker 2>I just want to point this out. He has a

0:19:32.960 --> 0:19:37.480
<v Speaker 2>derivative pricing at Duke. They don't have that at Chapel Hill.

0:19:37.960 --> 0:19:39.800
<v Speaker 2>They don't have the pricing right now.

0:19:40.080 --> 0:19:41.840
<v Speaker 5>Event hey, Cam.

0:19:41.920 --> 0:19:44.520
<v Speaker 4>Another part of this deal, which is really interesting, I think,

0:19:44.640 --> 0:19:48.000
<v Speaker 4>is just if you're buying stock today in this company,

0:19:48.760 --> 0:19:52.320
<v Speaker 4>you've bought off on a vision of Elon Musk, of

0:19:52.400 --> 0:19:55.760
<v Speaker 4>maybe even the cult of Elon Musk, how does that

0:19:55.840 --> 0:19:57.240
<v Speaker 4>typically play out over time?

0:19:59.600 --> 0:20:06.919
<v Speaker 8>So it's difficult to draw historical comparisons because this is

0:20:06.960 --> 0:20:12.640
<v Speaker 8>such a big IPO. Many don't realize that this company

0:20:13.040 --> 0:20:18.000
<v Speaker 8>is not a new company. It's been around for twenty

0:20:18.040 --> 0:20:21.399
<v Speaker 8>four years, so it's got of a long track record.

0:20:21.840 --> 0:20:26.960
<v Speaker 8>People know the company, it's in the news, and it

0:20:27.080 --> 0:20:31.480
<v Speaker 8>is large. So this IPO is larger than the sum

0:20:31.800 --> 0:20:36.120
<v Speaker 8>of all the IPOs in twenty twenty five. So it's

0:20:36.160 --> 0:20:39.919
<v Speaker 8>really hard, given that it's so extraordinary in terms of

0:20:39.960 --> 0:20:45.600
<v Speaker 8>the size to draw historical comparisons. Many IPOs are small.

0:20:45.760 --> 0:20:50.320
<v Speaker 8>This is giant. And also there is the possibility that

0:20:50.400 --> 0:20:55.800
<v Speaker 8>SpaceX will be merged by Tesla to become like a

0:20:55.880 --> 0:21:02.800
<v Speaker 8>colossal company. So again to draw historical comparisons is difficult.

0:21:03.680 --> 0:21:06.960
<v Speaker 8>Vision is important, and you are correct that a lot

0:21:06.960 --> 0:21:11.439
<v Speaker 8>of people are buying the vision. They're buying this vision

0:21:11.680 --> 0:21:14.600
<v Speaker 8>of extreme growth potential.

0:21:15.880 --> 0:21:16.080
<v Speaker 2>Yep.

0:21:16.160 --> 0:21:19.239
<v Speaker 4>And that's ninety five times revenue. Hum, I'm sure you're

0:21:19.240 --> 0:21:20.440
<v Speaker 4>getting your application this morning.

0:21:20.680 --> 0:21:23.120
<v Speaker 2>I'm looking for my Okay, it's just not there. Pharaoh

0:21:23.160 --> 0:21:27.000
<v Speaker 2>God is eight thousand shares as always, Professor Harvey, just

0:21:27.240 --> 0:21:30.439
<v Speaker 2>for all of us of the Safe Institute, Congratulations to

0:21:30.480 --> 0:21:33.400
<v Speaker 2>you and your team on this research report.

0:21:33.560 --> 0:21:34.240
<v Speaker 5>Stay with us.

0:21:34.480 --> 0:21:37.760
<v Speaker 2>More from Bloomberg Surveillance coming up after this.

0:21:44.960 --> 0:21:48.560
<v Speaker 1>You're listening to the Bloomberg Surveillance podcast. Catch us live

0:21:48.600 --> 0:21:51.760
<v Speaker 1>weekday afternoons from seven to ten am Eastern Listen on

0:21:51.880 --> 0:21:55.280
<v Speaker 1>Apple Karplay and Android Otto with the Bloomberg Business app,

0:21:55.440 --> 0:21:57.680
<v Speaker 1>or watch us live on YouTube here.

0:21:57.720 --> 0:22:01.359
<v Speaker 2>The privileges that you to work for Alan Span and

0:22:01.480 --> 0:22:04.600
<v Speaker 2>far more than that with wonderful academics. Jake Schneider with

0:22:04.680 --> 0:22:10.720
<v Speaker 2>Atlas Analytics carried on with Chairman green Span the Earth

0:22:11.080 --> 0:22:14.840
<v Speaker 2>Resource satellite, which was an act of God coming out

0:22:14.880 --> 0:22:18.679
<v Speaker 2>of Apollo, mostly coming out of the Dakotas. It was

0:22:18.720 --> 0:22:21.600
<v Speaker 2>a part of my family heritage and we're thrilled to

0:22:21.640 --> 0:22:24.879
<v Speaker 2>have Jake in here today. We're still using satellites to

0:22:24.920 --> 0:22:26.160
<v Speaker 2>look at stuff, right.

0:22:26.200 --> 0:22:28.120
<v Speaker 5>We absolutely are. Well.

0:22:28.280 --> 0:22:29.960
<v Speaker 6>First, let me say I'm delighted to be here, thank

0:22:29.960 --> 0:22:32.679
<v Speaker 6>you for having me. My name is Jake Schneider. I

0:22:32.720 --> 0:22:36.240
<v Speaker 6>am the founder of Atlas Analytics, where we use satellite

0:22:36.280 --> 0:22:40.639
<v Speaker 6>imagery to predict GDP in real time. So, as you know,

0:22:40.760 --> 0:22:45.160
<v Speaker 6>and as probably our viewers know, satellite imagery can be

0:22:46.320 --> 0:22:50.440
<v Speaker 6>the I'm sorry, macroeconomic data comes out with a lag.

0:22:50.880 --> 0:22:52.760
<v Speaker 6>It was medieval where it's Renaissance.

0:22:52.840 --> 0:22:55.640
<v Speaker 2>What's to say about our farm farmers flat on their

0:22:55.680 --> 0:22:56.560
<v Speaker 2>back this summer.

0:22:56.760 --> 0:23:00.040
<v Speaker 6>Well, let me look into that for you, Tom, I

0:23:00.080 --> 0:23:02.240
<v Speaker 6>want to come back next time. For now and I'd

0:23:02.280 --> 0:23:05.600
<v Speaker 6>like to say is that we are forecasting GDP for

0:23:05.720 --> 0:23:08.040
<v Speaker 6>Q two. That number won't be out for first release

0:23:08.080 --> 0:23:10.560
<v Speaker 6>until the end of July and final number until the

0:23:10.640 --> 0:23:13.400
<v Speaker 6>end of September. At about two point five percent. It's

0:23:13.480 --> 0:23:17.320
<v Speaker 6>doing quite strong. We have our own taxonomy where we

0:23:17.480 --> 0:23:20.080
<v Speaker 6>use the expenditure approach to GDP to break it into

0:23:20.080 --> 0:23:23.560
<v Speaker 6>three components, private inventories and net exports and core GDP.

0:23:23.840 --> 0:23:27.000
<v Speaker 6>Core GDP is looking strong the Federal Reserve.

0:23:27.880 --> 0:23:30.520
<v Speaker 4>A lot of folks are critical of the Fed, including

0:23:30.560 --> 0:23:32.560
<v Speaker 4>Cam Harvey from Duke University who we just spoke to

0:23:32.600 --> 0:23:37.119
<v Speaker 4>this morning. That defend uses I guess real backward looking

0:23:37.200 --> 0:23:39.640
<v Speaker 4>data as opposed to real time data, which is something

0:23:39.680 --> 0:23:43.360
<v Speaker 4>that you guys play in. Talk to us about how

0:23:43.400 --> 0:23:45.639
<v Speaker 4>you think about that real time data versus some of

0:23:45.640 --> 0:23:46.920
<v Speaker 4>the stuff the government relies on.

0:23:47.119 --> 0:23:52.040
<v Speaker 6>Yeah, So this is the core crux of the issue

0:23:52.040 --> 0:23:56.080
<v Speaker 6>with macroeconomic forecasting with macroeconomic data today. When Simon Kusen

0:23:56.119 --> 0:23:59.399
<v Speaker 6>has created the GDP National Income and Product Accounts in

0:23:59.480 --> 0:24:02.480
<v Speaker 6>nineteen three four and presented to Congress in nineteen thirty seven.

0:24:02.600 --> 0:24:05.600
<v Speaker 5>It was a great leap forward. We like to believe that.

0:24:06.880 --> 0:24:11.120
<v Speaker 6>We have also created a leapboard by using real time

0:24:11.200 --> 0:24:14.520
<v Speaker 6>imagery from satellites that orbit Earth every ninety minutes and

0:24:14.560 --> 0:24:17.480
<v Speaker 6>have revisit on same location of five days. We're able

0:24:17.480 --> 0:24:20.679
<v Speaker 6>to ingest these satellite imageries for the last fifty years,

0:24:21.400 --> 0:24:24.600
<v Speaker 6>take that data and extract a signal that we use

0:24:24.760 --> 0:24:28.040
<v Speaker 6>in combination with machine learning, computer vision, and AI to

0:24:28.119 --> 0:24:30.440
<v Speaker 6>make a forecast a gdpicial time.

0:24:30.680 --> 0:24:34.800
<v Speaker 2>It sounds really spacey. Give us one example of what

0:24:34.920 --> 0:24:38.399
<v Speaker 2>you do with that, like where I eighty crosses whatever

0:24:38.440 --> 0:24:41.520
<v Speaker 2>the eye is out in western Nebraska. Give us one

0:24:41.960 --> 0:24:44.040
<v Speaker 2>concrete example of how you do that.

0:24:44.080 --> 0:24:46.800
<v Speaker 6>Well, I loved the idea that you're using concrete and

0:24:46.840 --> 0:24:49.480
<v Speaker 6>you said concrete as an example. That is what we're

0:24:49.520 --> 0:24:52.399
<v Speaker 6>looking at. We are looking at four things, the expansion

0:24:52.400 --> 0:24:56.600
<v Speaker 6>of a built environment, land use, vegetation, and port activity.

0:24:56.640 --> 0:24:58.760
<v Speaker 6>And it turns out that you can use these real

0:24:58.840 --> 0:25:02.119
<v Speaker 6>time signals and extra data from it using AI and

0:25:02.160 --> 0:25:04.760
<v Speaker 6>machine learning to make inference about what's happening in real time.

0:25:05.000 --> 0:25:07.639
<v Speaker 4>How is your data different from kind of what we

0:25:07.680 --> 0:25:08.639
<v Speaker 4>do see out of the government.

0:25:08.680 --> 0:25:11.280
<v Speaker 5>Are your GDP numbers in.

0:25:11.200 --> 0:25:14.120
<v Speaker 4>Line with what the government ultimately reports. Are they are

0:25:14.160 --> 0:25:14.719
<v Speaker 4>they different?

0:25:14.720 --> 0:25:16.680
<v Speaker 5>How does that you're asking about accuracy?

0:25:17.200 --> 0:25:20.680
<v Speaker 6>So we benchmark against the actual data that comes out GDP,

0:25:20.760 --> 0:25:23.040
<v Speaker 6>as we know as a quarterly stist that comes out

0:25:23.040 --> 0:25:25.919
<v Speaker 6>four times a year. I'm going to see your question

0:25:26.040 --> 0:25:29.240
<v Speaker 6>and raise you a question, which is do you remember

0:25:29.560 --> 0:25:32.040
<v Speaker 6>what GDP was for Q one first release?

0:25:32.440 --> 0:25:34.280
<v Speaker 5>No, it was two point zero percent.

0:25:34.359 --> 0:25:37.960
<v Speaker 6>Okay, we predicted on our YouTube atless Analytics dot info,

0:25:38.440 --> 0:25:41.760
<v Speaker 6>our YouTube, our substack, and our website two percent two

0:25:41.800 --> 0:25:44.800
<v Speaker 6>weeks before and it's live time stamped on our YouTube,

0:25:44.840 --> 0:25:47.120
<v Speaker 6>so you can see that it was obviously revised down

0:25:47.119 --> 0:25:51.040
<v Speaker 6>to one point six, but I think the story still stands.

0:25:51.080 --> 0:25:54.159
<v Speaker 6>We are accurate, and we are timely, and we can

0:25:54.160 --> 0:25:56.080
<v Speaker 6>give you a real time forecast. So what's happening in

0:25:56.160 --> 0:25:59.800
<v Speaker 6>economic activities so that traders and policy makers can have

0:26:00.080 --> 0:26:01.960
<v Speaker 6>actual insights ahead of the competition.

0:26:02.160 --> 0:26:07.200
<v Speaker 4>What's what's the most predictive I guess flows or information

0:26:07.240 --> 0:26:09.400
<v Speaker 4>that you guys track, What's what's best for you guys?

0:26:09.400 --> 0:26:10.359
<v Speaker 5>What works best?

0:26:11.040 --> 0:26:13.080
<v Speaker 4>Is it just ships and ports and doing that kind

0:26:13.119 --> 0:26:13.360
<v Speaker 4>of thing.

0:26:13.440 --> 0:26:15.800
<v Speaker 5>So that actually is a great one.

0:26:15.840 --> 0:26:20.199
<v Speaker 6>We do you our second algorithm, Jack joint algorithm.

0:26:19.640 --> 0:26:21.399
<v Speaker 5>For containerized knowledge. You don't know.

0:26:21.520 --> 0:26:26.440
<v Speaker 6>Jack actually uses satellite imagery is trained with satellites over

0:26:26.480 --> 0:26:29.800
<v Speaker 6>the ports and we're looking at TEUs twenty foot equivalent

0:26:29.880 --> 0:26:32.760
<v Speaker 6>units coming in and off of the tankers to measure

0:26:32.960 --> 0:26:36.840
<v Speaker 6>and map onto what is happening with real time trade floats.

0:26:37.480 --> 0:26:38.800
<v Speaker 5>So what's the what's.

0:26:38.600 --> 0:26:42.359
<v Speaker 4>Your data telling you today? Because it feels like the

0:26:42.400 --> 0:26:45.840
<v Speaker 4>economy is doing pretty darn well, what's what's your data

0:26:45.840 --> 0:26:46.199
<v Speaker 4>telling it?

0:26:46.240 --> 0:26:47.359
<v Speaker 5>That's exactly what we're seeing.

0:26:47.359 --> 0:26:50.639
<v Speaker 6>So we see core GDP, which in the expenditure approach

0:26:50.680 --> 0:26:55.000
<v Speaker 6>of GDP is consumption, government expenditure and fixed investment core GDP.

0:26:55.160 --> 0:26:58.760
<v Speaker 6>The core of the economy is at about three percent.

0:26:59.080 --> 0:27:03.320
<v Speaker 6>We're subtracting about zero point six percentage points for net

0:27:03.400 --> 0:27:06.719
<v Speaker 6>exports and adding another zero point three So between two

0:27:06.800 --> 0:27:09.720
<v Speaker 6>point five and two point seven headline is what we're seeing.

0:27:10.160 --> 0:27:13.359
<v Speaker 6>You might say to me, Tom and go ahead, Well, I'm.

0:27:13.280 --> 0:27:14.880
<v Speaker 2>Gonna have to leave it there. We got breaking news

0:27:14.920 --> 0:27:17.160
<v Speaker 2>happening right now, Jake, Thank you so much. Jack Scheider

0:27:17.640 --> 0:27:22.120
<v Speaker 2>with us. So that was Atalytics today on Satellite at Technology.

0:27:22.480 --> 0:27:27.320
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