WEBVTT - OpenAI Gives Microsoft 27% Stake, Completes For-Profit Shift

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<v Speaker 1>Bloomberg Audio Studios, Podcasts, radio News. This is Bloomberg business

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<v Speaker 1>Week Daily reporting from the magazine that helps global leaders

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<v Speaker 1>stay ahead with insight on the people, companies, and trends

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<v Speaker 1>shaping today's complex economy. Plus global business finance and tech

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<v Speaker 1>news as it happens. The Bloomberg Business Week Daily Podcast

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<v Speaker 1>with Carol Masser and Tim Stenebeck on Bloomberg Radio.

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<v Speaker 2>As we've said, Tim, there's just so much coming at

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<v Speaker 2>us on this Tuesday, and E love it is because

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<v Speaker 2>of end Video, but there's just so much going on

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<v Speaker 2>when it comes to AI related news today.

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<v Speaker 3>Yeah, Opening I continue so to forge relationships, as does PayPal.

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<v Speaker 3>The two announce to tie up whereby PayPal's digital wallet

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<v Speaker 3>will be embedded into Chat GPT. It'll send PayPal shares

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<v Speaker 3>up the most in more than six months, or it

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<v Speaker 3>did send PayPal shares up the most in more than

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<v Speaker 3>six months. And then the Microsoft news that we've talked

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<v Speaker 3>about quite a bit, Carol, longtime backer, Microsoft a twenty

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<v Speaker 3>seven percent ownership stake in Open Ai. This part of

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<v Speaker 3>a restructuring plan that took nearly a year to negotiate.

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<v Speaker 3>It rooms a major uncertainty for both companies. And clears

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<v Speaker 3>the path for chat GPT and the maker of chat

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<v Speaker 3>GPT to become a for profit business.

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<v Speaker 2>It's a lot, so let's get into it and really

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<v Speaker 2>just how open ai continues to be at the center

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<v Speaker 2>of so much. But we've so many questions about why

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<v Speaker 2>Microsoft is doing this at this time. Limberg Intelligence senior

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<v Speaker 2>technology analyst an rog Rana joining us from the Bloomberg

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<v Speaker 2>News bureau in Chicago, anurag why is Microsoft doing this?

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<v Speaker 2>Did the company need to do this kind of cement

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<v Speaker 2>that relationship financially and otherwise with open Ai.

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<v Speaker 4>Yeah, I mean they had to do it because Open

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<v Speaker 4>the Eye has been raising capital with the idea that

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<v Speaker 4>they will go from a not for profit to a

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<v Speaker 4>for profit company eventually going public someday. So I mean

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<v Speaker 4>this had to be done. The big contentious for there

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<v Speaker 4>are so many things that they were arguing against, you know,

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<v Speaker 4>revenue share, technology share, all sorts of different things. Microsoft

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<v Speaker 4>had controllable which cloud providers that they can use, et cetera.

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<v Speaker 4>So this new agreement kind of cements a lot of

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<v Speaker 4>those things, removes a big overhang that's on I would

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<v Speaker 4>say more on Microsoft than on open Ai, frankly, because

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<v Speaker 4>Microsoft is using open eies technology in their products, in

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<v Speaker 4>the copilot products that are out there. You know, that's

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<v Speaker 4>I think for us that's the most important thing. Frankly,

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<v Speaker 4>it's not so much the other financial details.

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<v Speaker 3>Since Microsoft will have this twenty seven percent ownership stake

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<v Speaker 3>in open ai, can we look at Microsoft share price

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<v Speaker 3>on a daily basis as some sort of public proxy

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<v Speaker 3>for open ai and how investors are valuing open Ai

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<v Speaker 3>or am I trying to do too much math here?

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<v Speaker 5>No?

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<v Speaker 4>I think that's that's a bit too extrapolation over there.

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<v Speaker 4>The thing that you want to focus on is or

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<v Speaker 4>how many US will Microsoft has have access to open

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<v Speaker 4>EI's leading models. So when you look at frontier models,

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<v Speaker 4>you have open Ai, you know, perhaps you know most

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<v Speaker 4>in the lead. Then you have Entropic Gemini. Those are

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<v Speaker 4>the three big ones that everybody talks about down the road.

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<v Speaker 4>Microsoft needs to make sure that the copilot products that

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<v Speaker 4>they are selling out to the public, both on the

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<v Speaker 4>M three sixty five and then the GETHLP co pilot

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<v Speaker 4>which is used for coding, they really have an alternative

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<v Speaker 4>to open EI. One answer could be they have their

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<v Speaker 4>own models, but they're not there yet. So this contract,

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<v Speaker 4>you know, extend that to twenty thirty two, which is,

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<v Speaker 4>you know, you can say that they're giving themselves seven

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<v Speaker 4>years to figure this thing out.

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<v Speaker 6>Help me out.

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<v Speaker 2>Though, It's just like open ai and Microsoft. I'm looking

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<v Speaker 2>at the Bloomberg open ai and PayPal, open ai and

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<v Speaker 2>SoftBank open ai, you know, pick your company. They are

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<v Speaker 2>just I feel like lining up deals or agreements or

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<v Speaker 2>relationships with everybody and anybody. I mean Microsoft, I mean,

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<v Speaker 2>are they going to have to share the wealth if

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<v Speaker 2>you will? And does it become a little bit messy

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<v Speaker 2>because I'm just assuming that there will be companies that

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<v Speaker 2>maybe in some ways are also competing with Microsoft that

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<v Speaker 2>have deals with open ai or is that not right?

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<v Speaker 6>I don't know.

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<v Speaker 4>See it's a very common thing in technology. Almost everybody

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<v Speaker 4>who's competing with each other are also working closely with

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<v Speaker 4>each other. So that's you know, that's on the side.

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<v Speaker 4>But when you look at open ai, that's an area

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<v Speaker 4>where you and I use a chat GPT a lot.

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<v Speaker 4>But imagine that. Now what you can do is, you know,

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<v Speaker 4>let's say they have a partnership with Walmart with PayPal.

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<v Speaker 4>Today you are looking at a product and you decide

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<v Speaker 4>that you can just buy the product seamlessly from that.

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<v Speaker 4>They have a similar agreement with Stripe and Shopify. So

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<v Speaker 4>what OPENINGI is basically saying, let us be the front

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<v Speaker 4>end for a lot of what you're doing. Let's say

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<v Speaker 4>on the consumer side, so example that I gave you

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<v Speaker 4>is more for a retail purchase. But on the other hand,

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<v Speaker 4>they also have a deal with Salesforce, so for example,

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<v Speaker 4>if you are in chat GPT and you want to

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<v Speaker 4>look at your Salesforce application, you can do that as well.

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<v Speaker 4>So open AI wants to make sure that they are

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<v Speaker 4>the front end for a lot of discussions that are

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<v Speaker 4>going to happen, and that's where I think a lot

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<v Speaker 4>of the fighting is going to be down the road

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<v Speaker 4>on it rog.

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<v Speaker 6>I'm, i'm.

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<v Speaker 3>We had this conversation with you on Vanka Vanak yesterday

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<v Speaker 3>and he talked a lot about AI and the AI trade,

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<v Speaker 3>but he also mentioned some stats about when when web

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<v Speaker 3>traffic is going from chat GPT two websites, and it

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<v Speaker 3>got me thinking about how people are increasingly replacing or

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<v Speaker 3>supplementing what they do on the internet using chat GPT.

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<v Speaker 3>The news today too that that this potential PayPal tie

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<v Speaker 3>up where you can pay for stuff within chat GPT

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<v Speaker 3>also got me thinking, does Golphabet have to be scared

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<v Speaker 3>about its core business here?

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<v Speaker 4>But you know, but that's been the case for so

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<v Speaker 4>many years. I mean, there have been people have been

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<v Speaker 4>talking about this the first day chat GPT was launched, that, oh,

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<v Speaker 4>what's going to kill Google search business? I mean, so far,

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<v Speaker 4>I haven't seen those numbers that are out there that

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<v Speaker 4>are just having a very large financial impact. I'm sure

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<v Speaker 4>there is some share loss and searchers, but I haven't

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<v Speaker 4>seen it. So we'll see. You know, how the shapes

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<v Speaker 4>uf Google has or Alphabet has a lot of interesting assets.

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<v Speaker 4>I mean, they have semi conductors that are very important,

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<v Speaker 4>They have a cloud platform, they have a large frontier model.

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<v Speaker 4>So I think they have all the pieces out there.

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<v Speaker 4>The question is, you know, whether the market is big

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<v Speaker 4>enough for a lot of them to exist core coexist

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<v Speaker 4>at the same time.

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<v Speaker 2>Hey, Anna Rogh, you know, over the summer, Bloomberg put

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<v Speaker 2>out how open ai said, Elon Musk identified Mark Zuckerberg

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<v Speaker 2>is one of the people with whom he had communicated

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<v Speaker 2>about potentially financing a deal to purchase open ai. Does

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<v Speaker 2>this Microsoft deal put an end to any other big

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<v Speaker 2>player coming in?

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<v Speaker 6>I mean this is theirs.

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<v Speaker 4>I think so. But again, you know, legal grammifications are

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<v Speaker 4>such that you don't know how some of the judges

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<v Speaker 4>will move towards. But this is you know, this is

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<v Speaker 4>basically open AI saying we have figured out a way

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<v Speaker 4>to how to go you know, you could say, become nonprofit,

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<v Speaker 4>become for profit, and eventually some day go public.

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<v Speaker 6>M Yeah, that's going to be interesting, right, I mean,

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<v Speaker 6>listen what valuation. Well for open right, but.

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<v Speaker 2>For open AI, right, they can kind of stop the

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<v Speaker 2>money grab for now, right because they just got a

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<v Speaker 2>massive cash infusion.

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<v Speaker 4>Yeah, but they're also spending at the amount that nobody

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<v Speaker 4>has seen. I mean, they have a very large contract

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<v Speaker 4>with open Air, with the Oracle and they you know

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<v Speaker 4>today with this agreement, they've committed another two hundred and

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<v Speaker 4>fifty billion dollars of computing capacity with Microsoft. So it's

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<v Speaker 4>you know, their expense is far exceeding the revenue right now.

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<v Speaker 4>They are doing these you know, you could say investments

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<v Speaker 4>so that down the road they can recognize the value

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<v Speaker 4>of some of these investments. So that's I think where

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<v Speaker 4>the where the mismatches for a lot of people, And

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<v Speaker 4>so unless there is some equilibrium, I think it's going

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<v Speaker 4>to be very tough for them to go public.

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<v Speaker 2>Yeah, the money flows around AI in out is like phenomenal.

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<v Speaker 2>An rag YouTube phenomenal. Thank you, Thank you so much.

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<v Speaker 2>He is Bloomberg Intelligence Senior technology analyst out there in

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<v Speaker 2>our Bloomberg New Chicago bureau.

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<v Speaker 3>Stay with us. More from Bloomberg Business Week Daily coming

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<v Speaker 3>up after this.

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<v Speaker 1>You're listening to the Bloomberg Business Week Daily podcast. Catch

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<v Speaker 3>It's a FED Tuesday, Carol. It is a FED Tuesday,

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<v Speaker 3>which means it's followed by a FED Wednesday.

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<v Speaker 7>That's how it works.

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<v Speaker 6>Two day meetings.

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<v Speaker 3>Let's get too. Let's get into it with Danielle di

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<v Speaker 3>Martino bo She's CEO and chief strategist at the research

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<v Speaker 3>and analytics firm QI Research. He's also a former advisor

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<v Speaker 3>at the Dallas Fed. She's here in our Bloomberg Interactive

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<v Speaker 3>Brokers studio. We've spoken to you a couple times in

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<v Speaker 3>recent months. I want to go back to our conversation

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<v Speaker 3>with you.

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<v Speaker 7>Back in July.

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<v Speaker 3>I remember it because You were kind of the first

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<v Speaker 3>person to warn me of weakness in the lane labor market.

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<v Speaker 3>You talked about the gig workers out there and the

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<v Speaker 3>people who were driving for Uber for example, or Lyft

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<v Speaker 3>or doing other gig work, and the way that a

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<v Speaker 3>lot of them, in your view, were overqualified because they

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<v Speaker 3>couldn't find work and what they were trained for, what

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<v Speaker 3>they went to college for. Is the labor market worse

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<v Speaker 3>now than it was back in July?

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<v Speaker 8>Judging by my lift in Uber drivers, I would have

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<v Speaker 8>to say yes. The demographics has expanded, and you've especially

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<v Speaker 8>got a lot of kind of college graduates right now

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<v Speaker 8>who are looking for gig work because they can't secure

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<v Speaker 8>work in the broader economy as they thought they would

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<v Speaker 8>be able to, you know, walk across the stage proud

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<v Speaker 8>with their diploma, and boom, there's no work. So I mean,

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<v Speaker 8>right now, the unemployment rate among college graduates is the

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<v Speaker 8>high suspense since.

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<v Speaker 6>Nineteen eighty eight.

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<v Speaker 8>Nineteen eighty eight, it was a supply issue because that

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<v Speaker 8>was a peak of baby boomers entering the workforce. Now

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<v Speaker 8>it's the flip side of it. It's a demand issue,

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<v Speaker 8>and these kids are rightfully, they're very anxious.

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<v Speaker 2>So when You've got Amazon on letting go fourteen thousand jobs,

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<v Speaker 2>a lot of it corporate, right, We've got UPS and

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<v Speaker 2>that's part of its cost cutting.

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<v Speaker 3>Matt Zetie Deutsche Bank says, pay no attention to these

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<v Speaker 3>headline figures because they're small in comparison to the churn

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<v Speaker 3>that we see each and every month.

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<v Speaker 6>And that five million jobs are still being created. So

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<v Speaker 6>what is the net.

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<v Speaker 3>New look skeptical.

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<v Speaker 6>Yeah, well, I mean so.

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<v Speaker 8>We collaborate sometimes with Macro Edge and they're they're an

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<v Speaker 8>alternative to challenge your grand Christmas.

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<v Speaker 6>Yeah.

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<v Speaker 8>And with the UPS announcement this morning, and of course

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<v Speaker 8>that was so much higher than what was expected, right,

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<v Speaker 8>it was thirty percent of what they had previously announced.

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<v Speaker 8>So we learned from so many companies after the fact

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<v Speaker 8>about attrition or layoffs rather than layoffs being announced in

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<v Speaker 8>any event. At one hundred and thirty one thousand announced

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<v Speaker 8>layoffs for the month of October thus far, and being

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<v Speaker 8>in the heat of earning season, when so many companies

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<v Speaker 8>are like, I'm going to get the stock to pop,

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<v Speaker 8>I'm going to lay some people off. We're seeing the

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<v Speaker 8>third highest level of announced layoffs in three excuse me,

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<v Speaker 8>in two years so that, to me at least, is

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<v Speaker 8>alarming when you do what Chair Powell suggests you do,

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<v Speaker 8>if you add the lack of hiring to the firing,

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<v Speaker 8>because a few years ago there wasn't.

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<v Speaker 6>All of this lack of hiring.

0:11:15.480 --> 0:11:19.440
<v Speaker 8>Now it's very much a pervasive phenomenon in addition to

0:11:19.559 --> 0:11:20.560
<v Speaker 8>the layoffs coming through.

0:11:21.400 --> 0:11:23.520
<v Speaker 2>Yeah, and then there was the hoarding that was still

0:11:23.559 --> 0:11:24.960
<v Speaker 2>going on after the pandemic.

0:11:25.040 --> 0:11:25.959
<v Speaker 6>People were freaked out.

0:11:26.000 --> 0:11:29.280
<v Speaker 2>They couldn't find workers, right, absolute pandemic post pandemic, and

0:11:29.360 --> 0:11:31.000
<v Speaker 2>so they're like, let me hold on to it.

0:11:31.000 --> 0:11:33.480
<v Speaker 6>I mean, UPS is ap eight percent, and they're you know,

0:11:33.880 --> 0:11:34.720
<v Speaker 6>UPS is flawed.

0:11:34.760 --> 0:11:35.920
<v Speaker 8>I mean, but I mean, but look at the one

0:11:35.960 --> 0:11:36.480
<v Speaker 8>year chart.

0:11:36.840 --> 0:11:40.079
<v Speaker 6>Yeah, it's a good point of UPS. And that required

0:11:40.120 --> 0:11:41.360
<v Speaker 6>forty eight thousand layoffs.

0:11:41.400 --> 0:11:44.800
<v Speaker 8>In addition to the thirty four thousand they announced there

0:11:44.800 --> 0:11:48.400
<v Speaker 8>was another fourteen thousand in their corporate office. Amazon today

0:11:48.440 --> 0:11:52.000
<v Speaker 8>said that's fourteen, but that's fourteen of thirty and we

0:11:52.080 --> 0:11:52.360
<v Speaker 8>know that.

0:11:52.320 --> 0:11:56.439
<v Speaker 2>Stocks down thirty percent in the past year. WEPS, Yeah, UPS,

0:11:56.440 --> 0:12:01.040
<v Speaker 2>Oh yes, absolutely well, So then got quite the all right,

0:12:01.120 --> 0:12:02.720
<v Speaker 2>one word, how do you describe the economy?

0:12:02.760 --> 0:12:07.240
<v Speaker 6>One word weak? So does the FED obviously needs to cut.

0:12:07.040 --> 0:12:11.080
<v Speaker 8>In your view, I don't think the FED has any Yes,

0:12:11.120 --> 0:12:12.800
<v Speaker 8>the FED absolutely has to cut. I think that they

0:12:12.920 --> 0:12:15.880
<v Speaker 8>begin to discuss given the magnitude of the layoffs that

0:12:15.920 --> 0:12:19.240
<v Speaker 8>are rolling in and the lack of hiring that Chair

0:12:19.320 --> 0:12:22.440
<v Speaker 8>Powell said could in and of itself increase the unemployment rate.

0:12:22.600 --> 0:12:24.800
<v Speaker 8>I think that right now what they're discussing is twenty

0:12:24.800 --> 0:12:26.400
<v Speaker 8>five or fifty in December.

0:12:27.559 --> 0:12:28.800
<v Speaker 6>So can I just throw at you?

0:12:30.120 --> 0:12:33.000
<v Speaker 2>Like Tim and I have had lots of conversations about earnings, right,

0:12:33.440 --> 0:12:35.920
<v Speaker 2>Earnings growth is there, Revenue growth is there.

0:12:36.679 --> 0:12:40.760
<v Speaker 6>So companies are doing well.

0:12:41.120 --> 0:12:43.560
<v Speaker 2>That's the analysis that has come our way. And it's

0:12:43.600 --> 0:12:45.440
<v Speaker 2>not just big tech, although we'll see what big tech

0:12:45.480 --> 0:12:47.680
<v Speaker 2>has right this week because we get a big read,

0:12:49.280 --> 0:12:50.880
<v Speaker 2>but it's been broader based.

0:12:51.880 --> 0:12:53.520
<v Speaker 6>I would say that Earth you not agree with that?

0:12:53.760 --> 0:12:55.480
<v Speaker 8>No, no, no, I would say that earnings are doing

0:12:55.520 --> 0:12:59.600
<v Speaker 8>better than revenues. And so in one survey after another,

0:12:59.760 --> 0:13:03.040
<v Speaker 8>whether it's a CEO survey, a CFO survey, a regional FED.

0:13:02.800 --> 0:13:05.640
<v Speaker 6>Surveys, revenue growth, it's I think coming in better. That's again,

0:13:06.160 --> 0:13:08.520
<v Speaker 6>there's revenue growth. But remember these are all.

0:13:08.400 --> 0:13:12.800
<v Speaker 8>Based on lowered bars that are easier to get over.

0:13:12.840 --> 0:13:15.640
<v Speaker 8>I mean, if it's if you want to look at

0:13:15.640 --> 0:13:18.240
<v Speaker 8>the entire revenue picture, I think it's important to bring

0:13:18.240 --> 0:13:21.120
<v Speaker 8>in the bcy go function and look at the bankruptcies

0:13:21.120 --> 0:13:23.160
<v Speaker 8>that are coming in on top of this. And that

0:13:23.400 --> 0:13:27.559
<v Speaker 8>is you know, S and P has been tracking monthly

0:13:27.600 --> 0:13:32.599
<v Speaker 8>bankruptcies uh forever and last month September came into the

0:13:32.640 --> 0:13:36.199
<v Speaker 8>highest number in the post pandemic era of bankruptcies. And

0:13:36.240 --> 0:13:39.839
<v Speaker 8>we're seeing what I mean, bcygos hoppin'. Whoever whatever's in

0:13:39.920 --> 0:13:40.720
<v Speaker 8>charge of that is busy.

0:13:40.880 --> 0:13:42.560
<v Speaker 3>So is is you know, we talk a lot about

0:13:42.559 --> 0:13:44.960
<v Speaker 3>the K shaped economy when it comes to consumers, but

0:13:45.080 --> 0:13:48.120
<v Speaker 3>is it is it? Is it a K shaped market

0:13:48.720 --> 0:13:51.680
<v Speaker 3>where you know the and we know this about the

0:13:51.720 --> 0:13:53.760
<v Speaker 3>S and P five hundred companies that they are, you know,

0:13:54.080 --> 0:13:56.840
<v Speaker 3>the mag seven have just carried this index for years.

0:13:57.040 --> 0:14:01.240
<v Speaker 3>But are you seriously concerned about pretty much the other

0:14:01.280 --> 0:14:02.560
<v Speaker 3>company all the other companies?

0:14:03.320 --> 0:14:04.920
<v Speaker 8>Well, I mean, if you're asking me if I'm seriously

0:14:04.920 --> 0:14:07.400
<v Speaker 8>concerned about the other ninety percent of Americans who are

0:14:07.400 --> 0:14:09.880
<v Speaker 8>outside of the top ten percent who represent fifty percent

0:14:09.880 --> 0:14:10.720
<v Speaker 8>of spending.

0:14:10.640 --> 0:14:11.560
<v Speaker 6>Yes, yes I am.

0:14:11.960 --> 0:14:14.480
<v Speaker 8>And I think we're seeing that in freight.

0:14:14.440 --> 0:14:16.680
<v Speaker 3>But we're seeing it in freight, and we're seeing it

0:14:16.679 --> 0:14:19.400
<v Speaker 3>in some companies, but we're not seeing it. I mean,

0:14:19.440 --> 0:14:21.040
<v Speaker 3>we're at record a new record for.

0:14:22.280 --> 0:14:24.240
<v Speaker 6>Not seeing it in asset prices. Why are we not

0:14:24.240 --> 0:14:25.480
<v Speaker 6>buying it an assets prices?

0:14:25.480 --> 0:14:28.520
<v Speaker 8>Well, there's something very automated about this market, and this

0:14:28.600 --> 0:14:30.920
<v Speaker 8>market will continue to feed on itself because that is

0:14:31.360 --> 0:14:33.360
<v Speaker 8>that is the structure of passive investing.

0:14:33.440 --> 0:14:33.840
<v Speaker 9>Structure.

0:14:34.000 --> 0:14:37.280
<v Speaker 8>Passive investing forces stock prices up because you have to

0:14:37.320 --> 0:14:41.000
<v Speaker 8>buy the biggest market cap look at Nvidia today. But

0:14:41.120 --> 0:14:45.120
<v Speaker 8>that's that is a function not of necessarily enthusiasm about

0:14:45.120 --> 0:14:47.400
<v Speaker 8>in Nvidia the stock on a fundamental level, the way

0:14:47.480 --> 0:14:49.560
<v Speaker 8>we used to think of portfolio management one oh one.

0:14:49.680 --> 0:14:52.880
<v Speaker 8>But it is a function of passive investing flows.

0:14:54.000 --> 0:14:56.080
<v Speaker 6>So what do you tell investors? Do you just tell

0:14:56.080 --> 0:14:57.880
<v Speaker 6>them get ready?

0:15:01.600 --> 0:15:04.480
<v Speaker 8>According to Bloomberg, the cost of hedging against a decline

0:15:04.480 --> 0:15:06.880
<v Speaker 8>in the markets is very expensive right now. So we

0:15:07.000 --> 0:15:09.600
<v Speaker 8>know that, we know that portfolio managers are very nervous

0:15:09.600 --> 0:15:10.360
<v Speaker 8>about what's happening.

0:15:10.560 --> 0:15:11.880
<v Speaker 6>But no, I actually watch.

0:15:11.800 --> 0:15:15.400
<v Speaker 8>The FED the most closely because you've got all of

0:15:15.440 --> 0:15:17.560
<v Speaker 8>this money, trillions and trillions, and I think twelve thirteen

0:15:17.600 --> 0:15:20.200
<v Speaker 8>trillion dollars in cash cast equivalents, money market friends, et cetera.

0:15:21.240 --> 0:15:24.040
<v Speaker 8>That's you know, that's predominantly owned by people who are

0:15:24.080 --> 0:15:24.800
<v Speaker 8>seventy and older.

0:15:25.040 --> 0:15:25.720
<v Speaker 6>So as long as the.

0:15:25.640 --> 0:15:28.560
<v Speaker 8>FED does not cut too much, I think we're okay.

0:15:29.000 --> 0:15:32.200
<v Speaker 8>But if the FED starts to cut into what retirees

0:15:32.240 --> 0:15:34.440
<v Speaker 8>consider to be the corpus of their monthly income, because

0:15:34.440 --> 0:15:37.880
<v Speaker 8>they have really enjoyed the FED being higher for longer,

0:15:38.400 --> 0:15:42.320
<v Speaker 8>they've collected every single fifty basis point cut by the FED,

0:15:42.400 --> 0:15:44.960
<v Speaker 8>you take seventy one billion dollars of cash out of

0:15:45.000 --> 0:15:47.320
<v Speaker 8>the hands of retirees. We don't want for people who

0:15:47.400 --> 0:15:49.320
<v Speaker 8>own forty percent of the stock market, ie the seventy

0:15:49.360 --> 0:15:52.680
<v Speaker 8>year olds to even think about selling, because that unleash

0:15:52.720 --> 0:15:53.200
<v Speaker 8>is passive.

0:15:53.440 --> 0:15:55.840
<v Speaker 6>Okay, got to leave it there. Hey, thanks, good to

0:15:55.840 --> 0:15:56.120
<v Speaker 6>see you.

0:15:56.200 --> 0:15:59.360
<v Speaker 2>Danielle Di Martino Booth CEO, Chief strategist at the Research

0:15:59.360 --> 0:16:01.560
<v Speaker 2>and Analytics for QI Research.

0:16:02.960 --> 0:16:05.720
<v Speaker 3>Stay with us. More from Bloomberg Business Week Daily coming

0:16:05.840 --> 0:16:06.720
<v Speaker 3>up after this.

0:16:10.280 --> 0:16:13.480
<v Speaker 2>Let's not forget we have a big storm. We know

0:16:13.600 --> 0:16:17.720
<v Speaker 2>Hurricane Melissa has made landfall in Jamaica. Strong, strong wind

0:16:17.840 --> 0:16:20.920
<v Speaker 2>and so it's something we're talking about a Category five storm.

0:16:21.000 --> 0:16:22.960
<v Speaker 6>This is a very serious storm.

0:16:23.120 --> 0:16:26.320
<v Speaker 3>Yeah, Melissa Crosston to Jamaica, with sustained winds of one

0:16:26.400 --> 0:16:28.760
<v Speaker 3>hundred and eighty five miles per hour, making it a

0:16:28.840 --> 0:16:32.200
<v Speaker 3>rare Category five hurricane at landfall. It's struck near your

0:16:32.240 --> 0:16:34.800
<v Speaker 3>New Hope on Jamaica's southern coast, is about twenty five

0:16:34.840 --> 0:16:38.320
<v Speaker 3>miles south of Montego Bay. The US National Hurricane Center

0:16:38.360 --> 0:16:40.920
<v Speaker 3>set in a statement at one pm in New York Times.

0:16:40.960 --> 0:16:44.080
<v Speaker 3>Since then, it's strongest winds have weakened to one hundred

0:16:44.080 --> 0:16:46.480
<v Speaker 3>and sixty miles per hour, still at the top of

0:16:46.560 --> 0:16:49.920
<v Speaker 3>the five step scale. We got a great voice with us.

0:16:49.920 --> 0:16:51.880
<v Speaker 3>I want to bring in Eric Roston. He's Bloomberg News

0:16:51.880 --> 0:16:55.360
<v Speaker 3>Climbate reporter. He joins us from New Jersey. Eric, it's

0:16:55.400 --> 0:16:58.840
<v Speaker 3>too early to be talking about the actual cleanup effort.

0:16:59.040 --> 0:17:02.320
<v Speaker 3>We don't even know that devastation that this current storm

0:17:02.320 --> 0:17:06.719
<v Speaker 3>will rot and also what happens later on in hurricane season.

0:17:06.760 --> 0:17:09.880
<v Speaker 3>But you've talked a lot, and you've written and reported

0:17:09.920 --> 0:17:14.360
<v Speaker 3>a lot about the big business of disaster recovery. Let's

0:17:14.400 --> 0:17:18.320
<v Speaker 3>talk numbers here, because you looked at those numbers in Asheville,

0:17:18.359 --> 0:17:21.480
<v Speaker 3>North Carolina, for example. Just how much does it cost

0:17:21.480 --> 0:17:23.800
<v Speaker 3>to clean up after one of these natural disasters.

0:17:26.480 --> 0:17:29.400
<v Speaker 5>Just to take readers back a second to a year ago.

0:17:30.080 --> 0:17:33.960
<v Speaker 5>In at the end of September twenty twenty four, Hurricane Helene.

0:17:34.320 --> 0:17:37.560
<v Speaker 5>Technically it was a tropical storm by then, but didn't matter.

0:17:38.760 --> 0:17:41.040
<v Speaker 5>Instead of going out to the Atlantic, took a left

0:17:41.040 --> 0:17:45.479
<v Speaker 5>of the Appalachians and brought us just about the worst

0:17:45.640 --> 0:17:49.160
<v Speaker 5>Appalachian hurricane you've ever seen. That's not a phrase we're

0:17:49.240 --> 0:17:55.800
<v Speaker 5>used to hearing before. In December, after there was an accounting,

0:17:56.520 --> 0:17:59.560
<v Speaker 5>North Carolina came out with a report saying that it

0:17:59.640 --> 0:18:04.400
<v Speaker 5>caused sixty billion dollars in damage, concentrated in the western

0:18:04.440 --> 0:18:14.960
<v Speaker 5>part of the state, which includes Ashville. Wow, the cleanup

0:18:15.000 --> 0:18:22.000
<v Speaker 5>effort has largely been completed. When it comes to the

0:18:22.000 --> 0:18:27.720
<v Speaker 5>immediate aftermath of removing debris, there was three and a

0:18:27.760 --> 0:18:33.399
<v Speaker 5>half million cubic yards of debris removed from Buncombe County alone.

0:18:33.960 --> 0:18:38.200
<v Speaker 5>That's the county where Asheville, the city of Ashville is located.

0:18:39.160 --> 0:18:43.679
<v Speaker 5>And what you miss from the numbers is, and I

0:18:43.680 --> 0:18:47.360
<v Speaker 5>spent time down there in May, is just the incredible

0:18:48.800 --> 0:18:54.639
<v Speaker 5>vitality of this community and the incredible pride of western

0:18:54.640 --> 0:18:57.240
<v Speaker 5>North Carolinians. Of course, other states were hit as well,

0:18:58.280 --> 0:19:02.000
<v Speaker 5>in trying to claw back the worst hurricane that part

0:19:02.040 --> 0:19:03.520
<v Speaker 5>of the state I'd ever seen.

0:19:03.920 --> 0:19:05.639
<v Speaker 2>You know, I got to say, Eric, that doesn't surprise

0:19:05.720 --> 0:19:08.119
<v Speaker 2>me my husband as a family member who is living

0:19:08.320 --> 0:19:10.560
<v Speaker 2>in that area, and just first of all the neighborhoods

0:19:10.560 --> 0:19:12.959
<v Speaker 2>coming out to help one another with generators and so

0:19:13.000 --> 0:19:15.919
<v Speaker 2>on and so forth. But then you know, everybody kind

0:19:15.960 --> 0:19:18.440
<v Speaker 2>of had to leave because there was no infrastructure left

0:19:19.640 --> 0:19:22.359
<v Speaker 2>really you know, to be there day by day. But

0:19:22.520 --> 0:19:25.640
<v Speaker 2>as you say, it's impressive, like the comeback or what

0:19:25.800 --> 0:19:27.680
<v Speaker 2>people want to do to bring everything back.

0:19:28.480 --> 0:19:30.080
<v Speaker 6>It's interesting in a day.

0:19:29.960 --> 0:19:32.960
<v Speaker 2>Where we're talking a lot about the US economy, we're

0:19:32.960 --> 0:19:35.880
<v Speaker 2>waiting for a FED decision, we have a government shutdown,

0:19:35.920 --> 0:19:38.200
<v Speaker 2>we don't get a lot of government data. We're trying

0:19:38.200 --> 0:19:41.159
<v Speaker 2>to figure out what is the economy going forward, what

0:19:41.200 --> 0:19:44.160
<v Speaker 2>will be the strains on the economy. Maybe AI will

0:19:44.200 --> 0:19:49.840
<v Speaker 2>mean less job creation here. Unfortunately, these extreme weather disasters,

0:19:50.480 --> 0:19:53.480
<v Speaker 2>you know, communities do often want to build back, right,

0:19:53.680 --> 0:19:57.840
<v Speaker 2>and that creates It comes at a cost, but it

0:19:57.880 --> 0:19:59.440
<v Speaker 2>also creates economic activity.

0:20:01.200 --> 0:20:06.560
<v Speaker 5>It does. There's an economists always for decades have been

0:20:06.560 --> 0:20:14.359
<v Speaker 5>fighting about the relationship between disasters and growth, with different

0:20:14.800 --> 0:20:20.400
<v Speaker 5>high ranking folks coming out on either side. What's interesting.

0:20:20.520 --> 0:20:23.280
<v Speaker 5>So I went to Asheville in May, which was eight

0:20:23.320 --> 0:20:29.119
<v Speaker 5>months after the storm. There were shoots of renaissance in

0:20:29.200 --> 0:20:34.240
<v Speaker 5>business districts coming back. And the story that we ran

0:20:35.080 --> 0:20:40.080
<v Speaker 5>last week is a profile of this very quiet, but

0:20:40.600 --> 0:20:45.280
<v Speaker 5>very very large segment of the US economy that is

0:20:45.359 --> 0:20:50.920
<v Speaker 5>increasingly being called on to rebuild after disasters and to

0:20:51.000 --> 0:20:55.720
<v Speaker 5>help places prepare for the next one. And another leg

0:20:55.920 --> 0:20:59.680
<v Speaker 5>of this conversation for the last generation really has been

0:20:59.720 --> 0:21:05.760
<v Speaker 5>governed and spending, Whereas until maybe till twenty sixteen or seventeen,

0:21:06.160 --> 0:21:09.040
<v Speaker 5>the US government was picking up the bill for maybe

0:21:09.040 --> 0:21:16.239
<v Speaker 5>a third of recovery costs in disaster stricken areas. That

0:21:16.359 --> 0:21:20.040
<v Speaker 5>number has been falling dramatically since then. It's probably down

0:21:20.119 --> 0:21:24.960
<v Speaker 5>under two percent. And so there's a lot of questioning

0:21:25.040 --> 0:21:29.159
<v Speaker 5>now and a lot of concern about where is the

0:21:29.200 --> 0:21:32.680
<v Speaker 5>money going to come from. If the government is stepping

0:21:32.720 --> 0:21:39.879
<v Speaker 5>back to pay for the services that we need before, during,

0:21:39.920 --> 0:21:43.159
<v Speaker 5>and after disasters, well, there's all the disasters are going

0:21:43.240 --> 0:21:44.080
<v Speaker 5>to keep on coming.

0:21:44.240 --> 0:21:48.680
<v Speaker 3>There's also the question eric of how this changes the

0:21:48.720 --> 0:21:52.480
<v Speaker 3>economic landscape in these areas from a housing perspective. I mean,

0:21:52.520 --> 0:21:56.199
<v Speaker 3>we've had reports coming from places such as Malibu that

0:21:56.320 --> 0:22:01.240
<v Speaker 3>insurance costs have become so burdensome that you see homes

0:22:01.280 --> 0:22:04.879
<v Speaker 3>for sale for a tiny fraction of what they would

0:22:04.880 --> 0:22:07.800
<v Speaker 3>cost if they were ensurable. One of our guests a

0:22:07.800 --> 0:22:10.680
<v Speaker 3>few months ago just shocked me by noting that you

0:22:10.720 --> 0:22:13.960
<v Speaker 3>could get like an actual house in Malibu for like

0:22:14.680 --> 0:22:18.120
<v Speaker 3>just over one million dollars, which is a shockingly small number.

0:22:18.119 --> 0:22:20.880
<v Speaker 3>We're seeing this effect the real estate market in Florida

0:22:20.920 --> 0:22:25.160
<v Speaker 3>as well. Is the free market solving this a little bit?

0:22:29.320 --> 0:22:33.000
<v Speaker 5>We're the free market like the whole system. If you

0:22:33.080 --> 0:22:39.320
<v Speaker 5>talk to economists who look at systemic risks, we're a

0:22:39.440 --> 0:22:43.960
<v Speaker 5>little bit protected from these disasters just by the nature

0:22:44.200 --> 0:22:47.360
<v Speaker 5>of how they hit like big don't fortunately or they

0:22:47.600 --> 0:22:51.480
<v Speaker 5>fortunately haven't yet like hit everywhere at once, And so

0:22:51.680 --> 0:22:54.800
<v Speaker 5>the places that are undergoing this kind of level of

0:22:54.840 --> 0:22:58.679
<v Speaker 5>suffering that you know, I can only imagine what's happening

0:22:58.720 --> 0:23:05.480
<v Speaker 5>in Jamaica right now. There's got to be something that

0:23:05.600 --> 0:23:11.119
<v Speaker 5>hits everywhere at once right for the systemic focused economists

0:23:11.200 --> 0:23:16.000
<v Speaker 5>to really raise alarm bells, and they've started to exactly

0:23:16.040 --> 0:23:20.200
<v Speaker 5>because of the dynamic you described, which is we have

0:23:20.520 --> 0:23:25.680
<v Speaker 5>a system of federally backed mortgages that hinges on potential

0:23:25.720 --> 0:23:30.280
<v Speaker 5>homeowners being able to get insurance policies at a time

0:23:30.680 --> 0:23:34.800
<v Speaker 5>when disasters are becoming more intense, more frequent, and more expensive.

0:23:35.800 --> 0:23:38.840
<v Speaker 5>So the systemic concern to the extent there is one,

0:23:38.960 --> 0:23:41.199
<v Speaker 5>and this has been mentioned at very high levels. The

0:23:41.200 --> 0:23:45.720
<v Speaker 5>head of the FED earlier this year expressed some concern

0:23:45.800 --> 0:23:48.159
<v Speaker 5>about it in you know, in the in the decade

0:23:48.240 --> 0:23:53.800
<v Speaker 5>or so ahead, right, that is something to keep an

0:23:53.840 --> 0:23:54.159
<v Speaker 5>eye on.

0:23:54.560 --> 0:23:55.560
<v Speaker 6>I think what's fascinating too.

0:23:55.600 --> 0:23:57.399
<v Speaker 2>There's a lot in this story, but you know, you

0:23:57.520 --> 0:24:00.800
<v Speaker 2>also cite John Stevenson, who's a senior analyst at our

0:24:00.840 --> 0:24:03.399
<v Speaker 2>Bloomberg Intelligence dem of created an index, the Prepare and

0:24:03.440 --> 0:24:06.840
<v Speaker 2>Repair Index, and it's about one hundred large public companies

0:24:07.440 --> 0:24:11.720
<v Speaker 2>that will be evolved in these extreme weather situations cleaning up.

0:24:11.760 --> 0:24:15.040
<v Speaker 6>It reminds me of one of my first jobs in broadcast.

0:24:15.119 --> 0:24:17.919
<v Speaker 2>Business journalism, and it was a mutual fun show and

0:24:17.960 --> 0:24:21.280
<v Speaker 2>when there was an earthquake, we would put on fund

0:24:21.280 --> 0:24:25.399
<v Speaker 2>managers or CEOs of cement companies because it was just

0:24:25.440 --> 0:24:28.399
<v Speaker 2>a logical investment plate feels a little cold, but it

0:24:28.520 --> 0:24:31.840
<v Speaker 2>was kind of the reality of our world. Incredible story,

0:24:31.920 --> 0:24:34.000
<v Speaker 2>highly recommend folks check it out on the Bloomberg at

0:24:34.000 --> 0:24:34.800
<v Speaker 2>Bloomberg dot com.

0:24:34.880 --> 0:24:36.000
<v Speaker 6>Eric, thanks so much.

0:24:36.119 --> 0:24:38.720
<v Speaker 2>Eric Roston, Bloomberg News Climate Reporter, Joining us out there

0:24:39.160 --> 0:24:40.080
<v Speaker 2>in New Jersey.

0:24:41.440 --> 0:24:44.240
<v Speaker 3>Stay with us. More from Bloomberg Business Week Daily coming

0:24:44.320 --> 0:24:45.199
<v Speaker 3>up after this.

0:24:49.200 --> 0:24:53.040
<v Speaker 1>You're listening to the Bloomberg Business Week Daily Podcast. Catch

0:24:53.119 --> 0:24:55.320
<v Speaker 1>us live weekday afternoons from two to five.

0:24:55.359 --> 0:24:55.520
<v Speaker 6>Yes.

0:24:55.600 --> 0:24:58.600
<v Speaker 1>During that, listen on Applecarplay and Android Otto with the

0:24:58.640 --> 0:25:02.240
<v Speaker 1>Bloomberg Business app Watch us live on YouTube.

0:25:02.880 --> 0:25:05.880
<v Speaker 3>We got to talk about everything, or at least I'm

0:25:05.880 --> 0:25:07.680
<v Speaker 3>not going to make it everything because that would be exhaustive.

0:25:07.680 --> 0:25:09.360
<v Speaker 3>That would just be impossible. But we got to talk

0:25:09.359 --> 0:25:11.639
<v Speaker 3>about a lot when it comes to everything happening with

0:25:11.760 --> 0:25:16.560
<v Speaker 3>nuclear energy. Shares a Canadian uranium producer, Chemico, rose as

0:25:16.600 --> 0:25:19.480
<v Speaker 3>much as twenty seven percent to a record high today.

0:25:19.480 --> 0:25:22.480
<v Speaker 3>This after the US government signed a packed with Westinghouse Electric,

0:25:23.040 --> 0:25:26.000
<v Speaker 3>chemic COO, and Brookfield that will see at least eighty

0:25:26.119 --> 0:25:28.840
<v Speaker 3>billion dollars of new nuclear reactors constructed in the US

0:25:28.840 --> 0:25:32.359
<v Speaker 3>to accelerate nuclear power in AI deployment and breaking. Late yesterday,

0:25:32.440 --> 0:25:35.040
<v Speaker 3>next Air Energy planning to restart a nuclear power plan

0:25:35.119 --> 0:25:38.640
<v Speaker 3>in Iowa, primarily to supply Google data centers. We got

0:25:38.640 --> 0:25:40.720
<v Speaker 3>Will Wade with us. He's Bloomberg News energy reporter. He

0:25:40.800 --> 0:25:44.480
<v Speaker 3>joins us here in the Bloomberg Interactive Brokers studio. Did

0:25:44.680 --> 0:25:48.080
<v Speaker 3>the US make a mistake Will in shutting down nuclear

0:25:48.119 --> 0:25:49.840
<v Speaker 3>reactors over the last few years.

0:25:50.160 --> 0:25:53.640
<v Speaker 9>Oh, that's a tough question. When they made those decisions

0:25:53.720 --> 0:25:56.119
<v Speaker 9>to shut down reactors, and I used to keep a

0:25:56.119 --> 0:25:58.800
<v Speaker 9>spreadsheet on my desk. I call it the dead Nukes

0:25:58.840 --> 0:26:02.760
<v Speaker 9>file of the dozen or so reactors that were shut

0:26:02.800 --> 0:26:05.359
<v Speaker 9>down in the past a little more in a decade.

0:26:05.800 --> 0:26:08.480
<v Speaker 9>It was the right decision. Then they were expensive to operate.

0:26:09.680 --> 0:26:10.760
<v Speaker 9>Nobody wanted to pay that.

0:26:10.760 --> 0:26:14.439
<v Speaker 7>Much for power. But the world has really changed around us.

0:26:14.440 --> 0:26:17.399
<v Speaker 3>And I think at Indian Point, close to New York City,

0:26:17.440 --> 0:26:21.280
<v Speaker 3>that one was didn't it outlive It's like life cycle.

0:26:21.320 --> 0:26:22.600
<v Speaker 3>It was sort of at the end of its life.

0:26:22.640 --> 0:26:24.080
<v Speaker 7>Oh no, it was closed ahead of time.

0:26:24.280 --> 0:26:25.320
<v Speaker 3>It was closed ahead of time.

0:26:25.400 --> 0:26:27.800
<v Speaker 9>Yeah, that was a big political campaign. There were people

0:26:27.840 --> 0:26:30.160
<v Speaker 9>that were really worried about having a nuclear power plant

0:26:30.200 --> 0:26:32.760
<v Speaker 9>so close to the biggest city in America. I mean,

0:26:32.760 --> 0:26:36.000
<v Speaker 9>that's a legitimate concern. But we closed that plant and

0:26:36.080 --> 0:26:39.800
<v Speaker 9>immediately people started saying, wait, New York State carbon emissions

0:26:39.800 --> 0:26:42.199
<v Speaker 9>are going to go up this year because we replaced

0:26:42.200 --> 0:26:44.879
<v Speaker 9>all the nuclear with natural gas, like who would have thought.

0:26:45.680 --> 0:26:47.879
<v Speaker 2>So it does feel like we mentioned the US signing

0:26:47.920 --> 0:26:50.720
<v Speaker 2>an eighty billion dollar pack to boost nuclear power in

0:26:50.800 --> 0:26:54.160
<v Speaker 2>that AI push, Google buying power from next era nuclear

0:26:54.200 --> 0:26:57.840
<v Speaker 2>power plant being revived. So the spend is on, the

0:26:57.880 --> 0:27:00.679
<v Speaker 2>deals are on. Is the bild on though, to really

0:27:00.720 --> 0:27:03.320
<v Speaker 2>build out maybe the nuclear capacity that's needed.

0:27:04.160 --> 0:27:07.959
<v Speaker 9>Oh, building nuclear No, nobody's doing that.

0:27:08.640 --> 0:27:12.080
<v Speaker 3>But the money's there, the commitments are there, the mothballing

0:27:12.240 --> 0:27:13.480
<v Speaker 3>is being undone.

0:27:13.680 --> 0:27:16.639
<v Speaker 9>Okay, So here's what we're seeing. There is an enormous

0:27:16.880 --> 0:27:19.840
<v Speaker 9>amount of interest in nuclear energy right now. I've been

0:27:19.840 --> 0:27:23.120
<v Speaker 9>seeing it for eighteen twenty four months. This is because

0:27:23.240 --> 0:27:26.760
<v Speaker 9>electricity demand is going to go through the roof. That's

0:27:27.320 --> 0:27:30.199
<v Speaker 9>largely for data centers and AI. It's not just that.

0:27:30.280 --> 0:27:32.399
<v Speaker 9>It's for a lot of things, but that's the big

0:27:32.440 --> 0:27:34.879
<v Speaker 9>part of it. We need new electricity, we need a

0:27:34.920 --> 0:27:37.440
<v Speaker 9>lot of it. We did not see this coming. We

0:27:37.440 --> 0:27:40.920
<v Speaker 9>were not building new nuclear plants. At the same time,

0:27:41.320 --> 0:27:44.720
<v Speaker 9>we would love our electricity to be clean. So that

0:27:44.840 --> 0:27:48.359
<v Speaker 9>really makes nuclear the best option because it's available around

0:27:48.400 --> 0:27:48.720
<v Speaker 9>the clock.

0:27:48.840 --> 0:27:50.560
<v Speaker 7>Unlike wind and solar right.

0:27:50.800 --> 0:27:53.280
<v Speaker 3>How quickly can nuclear power plants be built outside of

0:27:53.280 --> 0:27:55.879
<v Speaker 3>the United States? In China, Korea, Japan.

0:27:56.840 --> 0:27:59.280
<v Speaker 7>Oh, China's really good at building them. They've been.

0:27:59.320 --> 0:28:03.760
<v Speaker 9>They've been doing a NonStop they got I think they're

0:28:03.800 --> 0:28:05.960
<v Speaker 9>soon going to surpass the US in terms of the

0:28:06.040 --> 0:28:08.800
<v Speaker 9>number of reactors they've got going. So yeah, they're faster

0:28:09.280 --> 0:28:11.600
<v Speaker 9>at it than us. The Koreas are really good at it.

0:28:11.640 --> 0:28:14.640
<v Speaker 9>I was in Korea this year. Their nuclear industries they've

0:28:14.640 --> 0:28:19.200
<v Speaker 9>been going NonStop for fifty something years. Our industry pretty

0:28:19.280 --> 0:28:23.399
<v Speaker 9>much ground to a holt around nineteen seventy nine with

0:28:23.480 --> 0:28:27.919
<v Speaker 9>through My Island, so we spent years doing nothing and

0:28:28.560 --> 0:28:30.280
<v Speaker 9>we never really recovered from that.

0:28:30.359 --> 0:28:31.200
<v Speaker 7>We're working on it.

0:28:31.320 --> 0:28:33.679
<v Speaker 2>Well, we're going to keep Will Wade with us Bloomer

0:28:33.720 --> 0:28:36.200
<v Speaker 2>News Energy Report. Someone else who's working on it too

0:28:36.480 --> 0:28:39.560
<v Speaker 2>to build out nuclear capacity is James Walker.

0:28:39.600 --> 0:28:41.480
<v Speaker 6>He's CEO of Nano Nuclear Energy.

0:28:41.480 --> 0:28:44.360
<v Speaker 2>It's a two point three billion dollar market cap nuclear

0:28:44.480 --> 0:28:48.360
<v Speaker 2>energy company that is working on SMR small modular reactors.

0:28:48.720 --> 0:28:49.560
<v Speaker 6>Shares are up.

0:28:49.520 --> 0:28:52.280
<v Speaker 2>Nearly ninety percent so far this year. Big chunk, though,

0:28:52.320 --> 0:28:55.960
<v Speaker 2>of the float is short. James joining us from Vancouver.

0:28:56.280 --> 0:28:59.360
<v Speaker 2>James come on in on this conversation. I mean, we'll

0:28:59.480 --> 0:29:05.000
<v Speaker 2>list how long before we actually you actually.

0:29:04.600 --> 0:29:07.680
<v Speaker 6>Get an SMR built and it's up and running.

0:29:09.000 --> 0:29:11.240
<v Speaker 10>It's a good question because it gets asked, as you

0:29:11.280 --> 0:29:13.560
<v Speaker 10>can imagine, more than any other question. And there's kind

0:29:13.600 --> 0:29:16.880
<v Speaker 10>of two answers to it too, because to get a

0:29:17.040 --> 0:29:20.480
<v Speaker 10>reactor built and constructed and licensed is one question, But

0:29:20.520 --> 0:29:22.720
<v Speaker 10>the other question is how long is it going to

0:29:22.720 --> 0:29:24.920
<v Speaker 10>take for the fuel supply chain to be built back

0:29:24.960 --> 0:29:27.960
<v Speaker 10>adequately in the country to be able to mass manufacture

0:29:28.000 --> 0:29:30.440
<v Speaker 10>the fuel to allow the mass manufacture of reactors. So

0:29:31.040 --> 0:29:34.040
<v Speaker 10>on one side, our company is already going ahead with

0:29:34.080 --> 0:29:37.760
<v Speaker 10>the construction project two construction projects to build reactor systems,

0:29:38.000 --> 0:29:40.960
<v Speaker 10>and we're talking to data centers and all of those

0:29:41.000 --> 0:29:43.360
<v Speaker 10>sort of groups as well. But on the other side,

0:29:43.520 --> 0:29:46.120
<v Speaker 10>like you know, we even our company, we need to

0:29:46.120 --> 0:29:48.640
<v Speaker 10>get involved in that fuel supply chain and build it

0:29:48.680 --> 0:29:51.000
<v Speaker 10>back because, as well was saying just before this sort

0:29:51.000 --> 0:29:54.040
<v Speaker 10>of after Three Mile Island, the investment into the country

0:29:54.120 --> 0:29:57.480
<v Speaker 10>sort of broke down a lot. We need that investment

0:29:57.520 --> 0:30:00.320
<v Speaker 10>to go back into rebuilding that fuel supply chain so

0:30:00.920 --> 0:30:04.120
<v Speaker 10>companies like ours can mass manufacture the reactor systems.

0:30:04.400 --> 0:30:07.360
<v Speaker 3>But James on Carol's question about a timeline here, what

0:30:07.400 --> 0:30:09.920
<v Speaker 3>would be a realistic timeline for completion of your first

0:30:10.040 --> 0:30:11.480
<v Speaker 3>modular nuclear reactor.

0:30:12.160 --> 0:30:15.520
<v Speaker 10>So we're doing a drill program right now, as it's

0:30:15.520 --> 0:30:19.560
<v Speaker 10>already started on the site. So we'll have the geotechnical

0:30:19.640 --> 0:30:22.480
<v Speaker 10>data to submit for a construction permit that'll go in

0:30:22.720 --> 0:30:25.080
<v Speaker 10>early next year, and our see will turn that around

0:30:25.120 --> 0:30:28.280
<v Speaker 10>in twenty twenty six. So construction twenty twenty seven, twenty

0:30:28.280 --> 0:30:31.360
<v Speaker 10>twenty eight, twenty twenty nine, and then fully licensed reactor

0:30:31.400 --> 0:30:36.000
<v Speaker 10>operating commercial license twenty thirty is very reasonable timeline. So

0:30:36.560 --> 0:30:38.520
<v Speaker 10>I would say early twenty thirties. Then you're going to

0:30:38.520 --> 0:30:41.800
<v Speaker 10>see the mass rollout of reactor systems, so dozens on

0:30:41.840 --> 0:30:42.840
<v Speaker 10>an annual basis.

0:30:43.120 --> 0:30:45.520
<v Speaker 9>Yeah, that timeline fits with what I hear from a

0:30:45.560 --> 0:30:50.240
<v Speaker 9>lot of companies early twenty thirties for a significant wave

0:30:50.400 --> 0:30:53.120
<v Speaker 9>of new power plants. But I guess the issue is

0:30:53.160 --> 0:30:56.160
<v Speaker 9>that we have all these people who want power yesterday.

0:30:56.560 --> 0:30:57.880
<v Speaker 7>How do we meet their needs?

0:30:59.360 --> 0:31:01.960
<v Speaker 10>Look, there's a it's actually a very reasonable question. Like

0:31:02.160 --> 0:31:03.760
<v Speaker 10>as a company, we you know, we want to be

0:31:03.960 --> 0:31:07.600
<v Speaker 10>conservative and truthful with everybody because you know, we've got

0:31:07.600 --> 0:31:11.040
<v Speaker 10>to earn long term trust here. There are good interim solutions,

0:31:11.080 --> 0:31:14.120
<v Speaker 10>Like I know, companies have been exploring things like gas,

0:31:14.160 --> 0:31:16.040
<v Speaker 10>and to be honest, if they can get hold of

0:31:16.040 --> 0:31:19.720
<v Speaker 10>that in the interim, great, But even things like gas contracts,

0:31:20.480 --> 0:31:23.200
<v Speaker 10>they're all tied up for seven eight years. Turbines around

0:31:23.200 --> 0:31:25.560
<v Speaker 10>gas are tied up for seven eight years too, So

0:31:25.960 --> 0:31:29.280
<v Speaker 10>there's no easy solution here. Even bringing in as you mentioned,

0:31:29.280 --> 0:31:31.440
<v Speaker 10>like wind and solar or anything like that, these are

0:31:31.680 --> 0:31:36.120
<v Speaker 10>it's aminten technologies which require huge battery storage technology to

0:31:36.200 --> 0:31:38.400
<v Speaker 10>run alongside them. A lot of the time it's just

0:31:38.440 --> 0:31:41.480
<v Speaker 10>not feasible. They're also very locationally dependent, so you be

0:31:41.520 --> 0:31:44.920
<v Speaker 10>limited on where you can even deploy these things. I mean, unfortunately,

0:31:45.000 --> 0:31:48.000
<v Speaker 10>there's no there's no great solution, which is why when

0:31:48.200 --> 0:31:50.959
<v Speaker 10>the show started they were talking about opening up these

0:31:51.000 --> 0:31:55.360
<v Speaker 10>old power stations and recommissioning old nuclear power plants because

0:31:55.960 --> 0:31:58.720
<v Speaker 10>those are the some of them are the interim solutions.

0:31:58.840 --> 0:32:00.680
<v Speaker 10>It won't be enough power, but it'll be some.

0:32:01.200 --> 0:32:04.320
<v Speaker 9>Yeah, those restart projects, that's low hanging fruit. Do you

0:32:04.360 --> 0:32:07.840
<v Speaker 9>think there are other plants that we can restart or

0:32:07.920 --> 0:32:10.400
<v Speaker 9>is it just the ones we've already seen? Are we

0:32:10.480 --> 0:32:11.440
<v Speaker 9>exhausted that list?

0:32:12.840 --> 0:32:15.520
<v Speaker 10>So it's a good question, Like there's a number have

0:32:15.600 --> 0:32:20.080
<v Speaker 10>been shut down, and like it's it's arguable that you

0:32:20.160 --> 0:32:23.480
<v Speaker 10>mentioned Indian Point as an example. I know it wasn't

0:32:23.680 --> 0:32:27.000
<v Speaker 10>politically popular and maybe there was some of that related

0:32:27.040 --> 0:32:30.520
<v Speaker 10>to the decisions around that kind of plant that could

0:32:30.560 --> 0:32:32.320
<v Speaker 10>be an act, that could be a route, even the

0:32:32.320 --> 0:32:34.560
<v Speaker 10>old three Mile Island plant. Since we're bringing that up

0:32:34.600 --> 0:32:37.920
<v Speaker 10>as I think it's see the Microsoft or Constellation, we're

0:32:37.920 --> 0:32:41.360
<v Speaker 10>involved in recommissioning that and trying to get that back

0:32:41.400 --> 0:32:42.000
<v Speaker 10>up and running.

0:32:42.080 --> 0:32:45.120
<v Speaker 9>Yeah, Constellation says that'll be ready by twenty twenty seven.

0:32:45.880 --> 0:32:49.160
<v Speaker 10>There we go. So, like you know, I think, as

0:32:49.200 --> 0:32:52.520
<v Speaker 10>you say, like there's going to be big projected powering

0:32:52.920 --> 0:32:57.200
<v Speaker 10>demand increases in the country, they might not get solved

0:32:57.600 --> 0:32:59.680
<v Speaker 10>until we get to those twenty thirties, and that the

0:32:59.680 --> 0:33:02.080
<v Speaker 10>proper there is that that could mean a stagnation in

0:33:02.120 --> 0:33:05.240
<v Speaker 10>the tech industry. They'll find every means they can to

0:33:05.280 --> 0:33:10.480
<v Speaker 10>get power. But like that big online colocation green technology

0:33:10.480 --> 0:33:13.280
<v Speaker 10>that provides baseload power that can only really come from

0:33:13.360 --> 0:33:16.480
<v Speaker 10>nuclear and a lot of these reactor systems. Despite any

0:33:16.520 --> 0:33:20.400
<v Speaker 10>really outlandish claims about deploying neotom it's it's going to

0:33:20.440 --> 0:33:22.680
<v Speaker 10>be early twenty thirties, twenty thirty and onwards.

0:33:22.720 --> 0:33:25.600
<v Speaker 2>All right, so the demand story is compelling that the

0:33:25.640 --> 0:33:27.840
<v Speaker 2>obstacles are just as a parent. Those aren't my words,

0:33:27.840 --> 0:33:30.320
<v Speaker 2>those are Well Wade words who reports on this sector,

0:33:30.320 --> 0:33:33.200
<v Speaker 2>as you well know. I mean, help me out here though,

0:33:34.280 --> 0:33:35.480
<v Speaker 2>because I'm just wondering.

0:33:37.120 --> 0:33:40.040
<v Speaker 6>You know, if I'm looking at.

0:33:39.920 --> 0:33:42.320
<v Speaker 2>A stock that is up eighty percent year to date,

0:33:43.240 --> 0:33:47.600
<v Speaker 2>you know, you guys don't have any revenues, right, I mean,

0:33:47.680 --> 0:33:50.920
<v Speaker 2>like our investors, Yeah, this is what we do.

0:33:51.040 --> 0:33:53.240
<v Speaker 6>Like are they probably getting ahead of themselves?

0:33:53.240 --> 0:33:55.920
<v Speaker 2>Thirty percent of your float is short, so investors are

0:33:55.960 --> 0:33:59.280
<v Speaker 2>just kind of waiting for something maybe negative to hit

0:33:59.440 --> 0:34:03.239
<v Speaker 2>because negative the sentiment. I mean realistically, you're talking at

0:34:03.360 --> 0:34:09.880
<v Speaker 2>least five years right before you're showing significant revenue or

0:34:09.920 --> 0:34:11.720
<v Speaker 2>earnings or anything along those lines.

0:34:12.440 --> 0:34:14.799
<v Speaker 10>No, like our early US and our company will come

0:34:14.840 --> 0:34:17.279
<v Speaker 10>online a long time before that. I mean, because there's

0:34:17.320 --> 0:34:20.040
<v Speaker 10>this massive build back. The opportunity at the moment in

0:34:20.080 --> 0:34:22.239
<v Speaker 10>the nuclear space is huge. It can come through the

0:34:22.280 --> 0:34:25.919
<v Speaker 10>fuel supply chain or transportation or isotopes. Like the nice

0:34:25.920 --> 0:34:28.239
<v Speaker 10>part is that we're part of this build back effort.

0:34:28.480 --> 0:34:31.160
<v Speaker 10>So and look, the stock market is always about an

0:34:31.200 --> 0:34:33.560
<v Speaker 10>investment in the future. I mean, the nice part is

0:34:33.600 --> 0:34:37.360
<v Speaker 10>that the demand is there in a way that's unprecedented.

0:34:37.600 --> 0:34:40.040
<v Speaker 10>Like buying now really is an investment in the future,

0:34:40.080 --> 0:34:42.400
<v Speaker 10>and a future that's inevitable. The tech industry is not

0:34:42.440 --> 0:34:44.400
<v Speaker 10>going to just give up and pack up and go away.

0:34:44.840 --> 0:34:45.840
<v Speaker 6>But what if what if.

0:34:45.719 --> 0:34:48.400
<v Speaker 2>The what if the AI spend and build that is

0:34:48.840 --> 0:34:50.680
<v Speaker 2>I know, everybody comes out and says no bubble or

0:34:50.680 --> 0:34:52.480
<v Speaker 2>a lot of people do what if there is, though,

0:34:52.520 --> 0:34:53.560
<v Speaker 2>an overspend?

0:34:53.920 --> 0:34:55.799
<v Speaker 6>Where does that catch you guys? Potentially?

0:34:56.640 --> 0:34:59.840
<v Speaker 10>I think the bubble has only been discussed around AI.

0:35:00.160 --> 0:35:02.279
<v Speaker 10>But like in terms of data centers, those are things

0:35:02.280 --> 0:35:05.440
<v Speaker 10>that cannot be bubbles. That is, power that's needed for

0:35:05.520 --> 0:35:08.480
<v Speaker 10>our whole tech industry, like a data center cannot be

0:35:08.520 --> 0:35:11.880
<v Speaker 10>a bubble. Like if you need increased power for computing power,

0:35:12.400 --> 0:35:16.719
<v Speaker 10>it has to come from somewhere AI. Whether that's going

0:35:16.719 --> 0:35:19.279
<v Speaker 10>to bear out the fruits of what's been promised that

0:35:19.320 --> 0:35:23.640
<v Speaker 10>remains to be seen. But currently it's just expanding. But

0:35:23.760 --> 0:35:25.839
<v Speaker 10>it's it's it's kind of irrelevant to the long term

0:35:25.880 --> 0:35:29.760
<v Speaker 10>power requirements because the electrification of the country, the reindustrialization

0:35:29.840 --> 0:35:32.920
<v Speaker 10>of the country, that's all going ahead. And you mentioned

0:35:32.920 --> 0:35:34.560
<v Speaker 10>stocks like cars and the short interest.

0:35:34.960 --> 0:35:35.280
<v Speaker 6>Great.

0:35:35.360 --> 0:35:37.759
<v Speaker 10>If people want to short us, that's better because we've

0:35:37.880 --> 0:35:40.320
<v Speaker 10>We've gone higher and higher as a stock just because

0:35:40.640 --> 0:35:43.200
<v Speaker 10>every time the shorts have been squeezed. The more shorts,

0:35:43.239 --> 0:35:45.880
<v Speaker 10>the better for us because they always.

0:35:45.400 --> 0:35:48.399
<v Speaker 3>Only only ten seconds left. But would you say that

0:35:48.640 --> 0:35:51.640
<v Speaker 3>you are most further along than any other company, the

0:35:51.760 --> 0:35:54.920
<v Speaker 3>most along than any other company in terms of microreactors?

0:35:55.040 --> 0:35:55.160
<v Speaker 5>Yees.

0:35:56.960 --> 0:36:00.759
<v Speaker 10>I believe we'll have the first US constry tructed full

0:36:00.800 --> 0:36:03.960
<v Speaker 10>scale commercial commercially license my corrector in the.

0:36:03.880 --> 0:36:06.200
<v Speaker 2>Country where you can put an SMR in my backyard

0:36:06.200 --> 0:36:08.960
<v Speaker 2>because my monthly electrical bills are crazy.

0:36:09.680 --> 0:36:10.439
<v Speaker 6>You're shutting off.

0:36:10.360 --> 0:36:12.400
<v Speaker 7>Lights, Carol, you're glowing today.

0:36:12.480 --> 0:36:13.200
<v Speaker 6>Yeah, I'm glowing.

0:36:13.360 --> 0:36:16.600
<v Speaker 2>Will Wade of Bloomberg News and James Walker, CEO of

0:36:16.680 --> 0:36:18.759
<v Speaker 2>Nano Nuclear Energy, Guys, thank you so much.

0:36:18.800 --> 0:36:19.560
<v Speaker 6>Great discussion.

0:36:19.920 --> 0:36:25.400
<v Speaker 1>This is the Bloomberg Business Weekdaily podcast, available on Apple, Spotify,

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0:36:29.640 --> 0:36:33.800
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