Hubbard on Fed Cut Fallout, Open Source AI, Nuclear Bet, Department Store Revival

12 Dec 2025 · 48 min

Ask about this episode

Ask anything about it. ChatGPT or Claude reads this page and answers with the times it was said.

Connect VO and ask about every podcast you hear, including the moments you saved. Add to ChatGPT · Add to Claude

In short

Podcast Summary: Wall Street Week - Episode: Hubbard on Fed Cut Fallout, Open Source AI, Nuclear Bet, Department Store Revival

Overview In this episode of *Wall Street Week*, host David Westin discusses various topics with Glenn Hubbard, a prominent economist, and features insights from industry leaders like Lisa Su from AMD and former IBM CEO Sam Palmisano. The episode explores the implications of Federal Reserve policies, the evolving landscape of AI, the future of nuclear energy, and the revival strategies of department stores like Macy's.

Key Themes and Discussions

  1. Federal Reserve Insights
  2. Economic Forecasts and Rate Cuts:
  3. Hubbard expresses skepticism about the necessity for the Fed to cut interest rates, especially given strong GDP growth forecasts.
  4. Concerns about tariffs and inflation are noted, as Hubbard argues that tariffs have a long-term corrosive effect on productivity.
  • Labor Market and AI:
  • The potential impact of generative AI on productivity and employment is debated. Hubbard suggests that AI might lead to higher interest rates due to its productivity-boosting potential.
  • The conversation touches on how AI could displace jobs, highlighting the need for proactive government policies to prepare workers for these transitions.
  1. Open Source vs. Proprietary AI Models
  2. Lisa Su on Open Source AI:
  3. Lisa Su advocates for open-source ecosystems, arguing that the collaboration leads to better innovations and faster development.
  4. She explains that while proprietary models can prevent bad actors from misusing technology, open-source models enable broader contributions and advancements.
  • Sam Palmisano's Perspective:
  • Palmisano reflects on the historical debate between open-source and proprietary models in computing, citing IBM’s successful transition to open-source systems.
  • The ongoing competition between different ecosystems is emphasized, with both open and proprietary approaches coexisting.
  1. Nuclear Energy's Role in Future Power Needs
  2. Energy Demand:
  3. Joseph Mikot discusses the anticipated surge in electricity demand due to AI data centers and reshored manufacturing.
  4. The need for nuclear energy as a viable solution to meet this demand is emphasized, as current electricity generation methods may not suffice.
  • Small Modular Reactors:
  • Experts discuss the development of small modular reactors (SMRs) as a way to increase nuclear energy generation efficiently.
  • The potential for nuclear power to be a zero-carbon energy source is highlighted, especially in the context of decarbonizing the energy system.
  1. Revitalizing Department Stores
  2. Macy's Transformation:
  3. Under CEO Tony Spring, Macy's aims to reposition itself as a neighborhood store, focusing on the customer experience and tailoring offerings to the modern shopper.
  4. The decline of department stores is linked to changes in consumer behavior, with retail historian Michael Lissicki noting the importance of community connection.
  • Strategies for Success:
  • Emphasis is placed on creating an engaging shopping experience both in-store and online, blending traditional retail with digital innovations.
  • Experts argue for a return to customer-centric strategies that focus on the quality of products and services rather than solely on discounts.

Key Takeaways

  • Economic Outlook:
  • The Fed is facing a complex landscape with inflation and employment pressures, necessitating careful consideration of interest rates.
  • AI Development:
  • The future of AI will be shaped by the balance between open and proprietary models, with both having unique advantages.
  • Energy Solutions:
  • Nuclear energy is poised to play a critical role in meeting future electricity demands, especially as reliance on AI and manufacturing grows.
  • Retail Evolution:
  • Department stores must pivot towards customer engagement and adapt to changing shopping preferences to remain competitive in a digital age.

Conclusion This episode of *Wall Street Week* brings together diverse perspectives on pressing economic issues, technological advancements, and evolving retail landscapes, providing listeners with a comprehensive understanding of the challenges and opportunities ahead in the realms of finance, technology, and consumer behavior.

Written by AI. May contain mistakes. Listen to the episode to check what was said.

Hear the part that matters, and keep it.Open this episode in VO. Double tap your headphones to save a moment as you listen.
Get VO free

Transcript

Automatic transcript. May contain errors.

0:13Hello, I'm Stephen Carroll. I'm in Brussels where many of Europe's biggest decisions get made. And I'm Caroline Hepker in London. We're the hosts of the Bloomberg Daybreak Europe podcast. We're up early every weekday keeping an eye on what's happening across Europe and around the world. We do it early so the news is fresh, not recycled, and so you know what actually matters as the day gets going. From Brussels, I'm following the politics, policy and the people shaping the European Union right now. And from London, I'm looking at what all that means for markets, money and the wider economy. We've got reporters across Europe and around the globe feeding in as stories break.

0:52So whether it's geopolitics, energy, tech or markets, you're hearing it while it happens. It's smart, calm and to the point. And it fits into your morning. You can find new episodes of the Bloomberg Daybreak Europe podcast by 7am in Dublin or 8am in Brussels, Berlin and Paris. On Apple, Spotify, YouTube or wherever you get your podcasts.

1:17Bloomberg Audio Studios, podcasts, radio, news.

1:34This is Wall Street Week. I'm David Weston bringing you stories of capitalism. The race to an AI future takes us through the obscure land of open source code. And one of those leading the charge, Lisa Su of AMD, explains what is at stake. Plus, however we get there, that AI future will require a whole lot more electricity, which will have to include a whole lot more nuclear power than we have ever seen before. And as the holiday season approaches, we take you on a trip down memory lane to the department stores of yesterday and the efforts of one of the remaining icons, Macy's, to transform itself for the future.

2:12But we start with the Fed decision this week and what we learned about where the Fed is going, if it knows, with Glenn Hubbard of the Columbia Business School, who headed the Council of Economic Advisers under President George W. Bush. Well, the decision itself isn't a surprise, David. The why, though, is a good question. I don't see really an argument for cutting the funds rate, particularly given the Fed's own macroeconomic forecast that would have real GDP growth now higher next year, not lower. There are reasonable minds on both sides who are debating the employment tradeoff and the inflation tradeoff.

2:48More interestingly, going forward, what could the Fed do? I don't see rate cuts. If you look at the Fed funds rate now, it's roughly in the range of where it should be, given views about what the real federal funds rate is. and the inflation forecast the Fed itself has put out. So I don't see much more room to cut. If you believe the Fed's projections, next year in 2026, they took up the GDP growth by a half a percent. That's big. When do you cut rates into a growing economy? Well, I think they would have to argue that it's about employment, not just output. But that seems very tortured as an argument.

3:26They still have time to react to labor pressures should they worsen. Remember, the Fed also lowered the unemployment rate for next year as well. That doesn't look like an economy heading toward recession. I'm not saying that will come to pass, but that is the Fed's view. Artificial intelligence is all the talk of the town, including with Chair Powell in his decision this week. How can the Fed understand AI well enough to know what that will do to, for example, productivity, which the chair talked about? Well, I don't think any of us, if we're honest, know. When I talk to business people in California, they're extremely optimistic.

4:04Every CEO is optimistic. Some others are more dour among economists. Honestly, I think there's every reason to believe generative AI could be a big productivity boom. But therein lies the rub for the Fed. it. If you think AI is the future of productivity, that's a story for higher, not lower, interest rates. The real interest rate will go up. And inflation is still stuck at a higher level. If we're wrong about AI, then we've got many things to worry about because we have a lot of CapEx going into AI data centers and things like that. But I don't think the AI productivity story gets the Fed to low rates.

4:41This is not a replay of Greenspan in the 1990s. What sorts of pressures could AI in success with increased productivity, increased investment, as you say, put on the dual mandate? Because you could have on the one hand said growth, economic growth, increased productivity dramatically with lower employment. So you could be on both sides of that mandate. You well could. At the moment, I'm not so sure. So we have seen, obviously, a weakening labor market, but I'm not sure AI is associated with it when you look at all of the sectors that are weakening. To me, it looks more like an unwind of excess hiring during COVID.

5:19So we don't yet know. And we don't know going forward, is AI going to be more of a complement to you, me, and everybody else in terms of the skills we have or a substitute? But if it were the case that AI displaced a lot of jobs, to me, that's less of a Federal Reserve challenge and more of a government challenge, that the government needs to do something, have a policy to prepare people better than we did in previous waves of technological change. One of the things that Chair Powell addressed was tariffs. When he was asked about the elevated, well above the 2 % number in inflation, he said, well, that's really a tariff thing and we think that will dissipate.

5:55Is he right about that? In principle, yes. A tariff is, if you had a once-in-for-all tariff, that should raise prices, not inflation. It only raises inflation for a period of time. The problem is we've seen tariffs come, tariffs go, rates go up, rates go down. So it becomes a little harder. My worry about the tariffs is less about inflation, somewhat for the reasons Chair Powell has suggested, but more for their long-run corrosive effect on the economy in productivity, in supply chains. Again, America's imports, more than half of them, are intermediate goods. We're shooting ourselves in the foot whenever we do large across-the-board tariffs.

6:39What do you make of the fact we're now up to three dissents, two going one way, one going the other way? We went for a long time, actually, with essentially no dissents in the Fed. Is this a good thing, a bad thing, or something in between? I think it could be any of the above. So it's a good thing in the sense that in a healthy organization, if you and I don't have the same view, we should speak it if we're not going to be reconciled. That said, you've got to ultimately govern the Fed. We're about to have a new Fed chair. The president will tell us who it is sometime in the near future. And that gentleman or lady is going to have to bring together a group of people with disparate opinions.

7:17That's where the challenge seems to hold. Chair Powell has done a very good job, I think, in managing through a situation where people could reasonably hold different views about the economy and obvious political cross-currents. He's been able to get through that. The new Fed chair, whoever it is, will face that challenge. It's one thing to have disagreements over policy, over theory, even over what the data are telling you. It doesn't have political disagreements. We tend to think that the Fed should stay away from political disagreements and disagree over the merits as it were. Well, that's absolutely right.

7:53You can make a case right now in the economy for different points of view about the path of interest rates. The fact that I have one point of view does not mean, for example, that Governor Waller's wrong, because he has a different point of view. He has a different way of looking at the world. I respect that. If your argument is based on politics, then that's not a technocratic argument for the Fed. Political arguments are fine when you're talking about fiscal policy or things that the Congress does. But the Fed was set up to provide independent judgment about monetary policy, and that's what it should do.

8:25To provide independent judgments and to be perceived as providing independent judgments. It's critical, David, because if people don't believe that you're independent, even if you yourself think you are, that doesn't work. And you have to ask yourself, why does it not work? The bond market and capital markets depend on the perception that the Fed is an independent agency. One of the things that came up more than once in the news conference, although Chair Powell really refused to address it, is the question in Governor Cook's case, pending before the Supreme Court. If you had to choose, which is more important, who the Fed chair is or how the Supreme Court rules?

9:04Well, I'm going to give you a non-lawyer's answer because, honestly, I don't know. But to me, the Cook case is very important, and not just because it's about Governor Cook per se, just call it about X, whoever X is. If the president can fire a member of the Federal Reserve Board for what doesn't appear to be cause, at least as an outsider, then that speaks volumes about the Fed's independence. So I think that case is one to watch. I'm not a lawyer. I don't know what the outcome will be, but I wish the Supreme Court well in deciding it. Looking forward into 2026, which is very, very difficult, obviously, do you think there's more risks to the upside or the downside in the economy?

9:48You know, I see risks in both directions. The AI boom that we spoke about is clearly an upside risk. To me, the resilience of the economy is also an upside risk. If we were having this conversation a year ago, and you had told me about Liberation Day. I alone got to know that. I would have then thought the macroeconomy would do worse than it did. I would have predicted market effects, which did happen, but not the macroeconomic effects. And I think part of that is the overwhelming resilience of the American economy combined with the productivity boom. I think those are real upsides. The downsides I would worry about is that the labor market could weaken gradually than suddenly.

10:30And we already have a credit cycle that looks relatively mature to me, and so I would start to worry about credit accidents, which could affect the bond market. So that would worry me as a downside. And then, of course, there are always geopolitical risks that I'm certainly not an expert in and are hard to predict. So I think there are risks on both sides. It's going to be a very interesting year for the Fed, for fiscal policy, and obviously because it's an election year, a highly charged year. Coming up, getting to an AI future. It's not just a matter of how much money is spent. It's also what the basic structure of the system looks like.

11:09AMD's Lisa Su on the critical bets being made on open source versus proprietary code.

11:26Goldman Sachs 2026 outlooks from global growth and regional perspectives to deep dives into asset classes and portfolio allocation. Goldman Sachs research examines the trends shaping the global economy for insights to help you stay a step ahead. Listen to exchanges. Outlook 2026 from Goldman Sachs.

11:53I'm Barry Ritholtz, inviting you to join me for the Masters in Business podcast. Every week, we bring you fascinating conversations with the people who shape markets, investing, and business. CEOs, fund managers, billionaires, Nobel laureates, traders, analysts, economists, everybody that affects what's going on in the market, whether you own stocks, bonds, real estate, commodities, crypto, you really need to hear these conversations. Sometimes it's behaviorists like Dick Thaler or Bob Schiller. Sometimes it's fund managers like Peter Lynch, Bill Miller, Ray Dalio. Sometimes it's authors, Michael Lewis, author of The Big Short, and Moneyball.

12:38Regardless of the conversation, these are the folks that move markets each week. That's the Masters in Business podcast with me, Barry Ritholtz. Listen on Apple, Spotify, or wherever you get your podcasts.

12:58This is a story about frenemies, when to try and beat your competition and when to share with those competitors to build a bigger overall business and compete in other ways. The competition to develop AI models could not be more fierce, with big tech companies investing record amounts of money on chips and data centers. These companies investing trillions of dollars in CapEx, trillions of dollars in the race to build artificial intelligence support systems. Trillions of dollars of our tech companies investing in building data centers in America. How far AI will take us and how fast may depend in part on a basic choice about the overall approach to sharing or withholding information.

13:41A choice often mentioned in passing, but one that investors may not have identified as key. I want to see AI everywhere. You know, we were such so early in the real usage of the technology. Lisa Su is chair and CEO of AMD, the chip maker with hundreds of billions of dollars at stake in the development of AI. When it comes to the software that runs on their products, she and her company have made their choice in favor of open source technology, sharing where they can. The difference with an open source or open standards is the idea that you set out a set of standards that people can follow, and then different companies can choose to implement in a different way.

14:26And the whole idea is to provide platforms that the entire ecosystem, lots and lots of developers can develop, and that you can be able to interchange sort of the best of breed from different sources. Why is there so much passion around open? I mean, is it a matter of business or is there a matter of philosophy? The philosophy is, do you believe that there's any one company or any one group that will have all of the best ideas in the world? Or do you believe that if you have an open ecosystem where different researchers and different groups can contribute, that you will end up with a better product overall?

15:06and philosophically, I think from an AMD standpoint, actually if I think about throughout my career, I look at the different inflection points on technology. Things often start, new ideas often start in a closed environment, but when you actually think about when they get big and when a lot of people adopt, you like to be in open environment. And that's philosophically. Now let's talk about the business aspects of it. The business aspects of it are, we all have to make choices of where we invest. And do you want to trust all of your crown jewels and all of your data in a closed ecosystem that may or may not be the most competitive at any given time or may have a flaw or any of those things?

15:52Whereas in an open ecosystem, you have choices. You can decide who is the best at any given time. You can decide if I have my data in a cloud environment, I can easily move it to another environment. If I have my applications that are built on one chip, if there's a better chip, you know, a few years later, you can move, you know, quickly. That's kind of the idea of both. What, broadly speaking, are the advantages of open? And let me throw one out, for example, in a new technology, is it more likely, all of the things being equal, that the technology will develop more quickly if it's open? I would say that the main advantage of an open ecosystem is that you can get many, many more developers on that ecosystem and they will contribute in their special way.

16:41So an example I can give you is when we think about supercomputing, like the largest supercomputers in the world, we usually like to develop them on open software stacks so that researchers from all different labs can actually contribute to those applications and those learnings. We see that a lot in open ecosystems, which is the notion that we want more developers. Like Linux is a great example, right? Linux is one of the examples where with an open operating system, you can see that it's now really become the standard for a lot of computing going forward. For all the advantages of the open source approach to AI, many of the most important players, including most recently Meta, with a new model expected to debut next year, have gone the other way, keeping much of their generative AI tech proprietary.

17:34And there are some advantages to that approach, including preventing bad actors from having access to source code that they can manipulate. That's something Sue believes can be remedied by community policing. I think there is a definite view that there's a place for open and then there's a place for proprietary. And when I say that, I mean, look, there are amazing groups of researchers that are working on the largest foundational models. When you think about, you know, what's happening at OpenAI and what's happening at Google and what's happening at Anthropic, what's happening at Meta. These are phenomenal labs that are, you know, doing a tremendous research in AI.

18:14There are also a number of open models. OpenAI has an open model. Meta, their LAMA series have had open models. And what you find when those models are open is there are more researchers that are able to build on top of that. And I think there's significant advantages there. So our thought process in how this evolves over time is you're going to have both in the ecosystem. And just like my very early example of sort of the Apple iOS ecosystem and the Google Android ecosystem. It's not like you're going to have all of one takeover, all of the other takeover. But what you do see is there's value and richness in having, let's call it, you know, a little bit of competition between the ecosystems.

18:59And most importantly, what we want is what's best for the consumer is to get the best overall product experience and the best overall capabilities. And you do that when you allow a playing field that allows good competition across the board. The debate between open source and proprietary is not a new one. The computer industry had to confront a similar choice long before the current rush to artificial intelligence models. Sam Palmisano was the CEO of IBM from 2003 through 2011. How this whole thing began was basically in the late 90s. And there were two different models. There were proprietary models that existed.

19:45IBM in the mainframe, Microsoft with client server, etc. They were all proprietary. And we believed at IBM that a better model was one that would drive more innovation, more growth, if it was open source so everybody could participate. So that led to this Linux initiative, which was the open source in this institute that was created by the industry, which we were a part of. And obviously what happened over time, now we put a lot behind it. We made a billion-dollar bet that Linux would become commercial and that in the future, Linux and Apache would be kind of the operating environment of the Internet.

20:20Well, it worked out, but it could have been a mistake, but it worked out. So that gave it a lot of momentum. But the whole point was open innovation is going to win over single company proprietary approaches because they have a limited amount of resource and a limited market. Even if they have a large share position, it's still a smaller market than the entire industry. When you made the decision to go open source with Linux, was there controversy about it? What were the pluses and the minuses of that decision? Huge internal debate. Think of all the stuff IBM invented over the history of the industry.

20:52It was all proprietary, whether that was not just in mainframe or storage and database and all those things were all invented by IBM. So there's the camp that said, hey, you guys, this is crazy. We have this proprietary model. It's very profitable. Slower growth, but it's very profitable. And it's, you know, from a business perspective, the alternative was that, no, if we can open up the opportunity and then participate in a bigger opportunity than the one we're participating in, IBM will be better off long term. And that was the decision. The IBM move to open source for operating systems 25 years ago helped spur what became a software revolution as firms adopted the system and built their own proprietary applications on top of it.

21:34Looking back on it now, it's hard not to conclude that it was good for the business overall and ultimately good for companies like IBM. But is history likely to repeat itself this time as the world experiments with various generative AI approaches? The chip is actually quite small. We want to present a framework where we're going to get the best ideas coming out of this. And from an AMD standpoint, we'd love you to run on our chips. But more importantly, we want you to run on an open ecosystem so you can decide, you know, two years from now or four years from now, if you made a choice of AMD, that doesn't mean you're locked into our chips for the next five years.

22:13It means that you have an open ecosystem where you can benefit from all of the competitive capabilities that come on board over the next five to 10 years. Which sounds like it should be good for the business long term, overall the business. Is it also good for AMD in the sense that in that world where you can switch and you don't have to be committed, you'll sell more chips over the long term? I believe we will because we are giving people the opportunity to choose. And look, we always have to be best in class, right? There's no question that there's so many innovations to come on board. But the idea that if you develop on AMD, you have choice and you also have the ability to work closely with us in terms of how we develop this ecosystem together, that this is a case where one plus one is going to be greater than three because we're getting the smartest people from all of the ecosystem versus just we're going to figure out everything on our own.

23:14And it's not just the big U.S. tech companies making their bets on open versus proprietary. China is casting its vote as well, and perhaps ironically, siding with the open approach. Where we started, it was mostly proprietary. And the winners at that point in time were Meta, Google, OpenAI, Microsoft, et cetera. They were the winners and were growing like crazy with these large language models. Then all of a sudden this thing happens in China. And there's two things that happen in China that are open sourced. And they're based on this view that innovation will scale faster if we have an open source approach.

23:51DeepSeq, which got a lot of press, a lot of coverage. The other one's called Huggy Face, which you hardly hear about. But if you look at the numbers compared to the growth before 2024, it was heavily dominated by the three companies, the hyperscalers I talked about. And then since then, it's been these other companies and the China approach. So since 2024, China actually is outgrowing the proprietary models. But it's the open source innovation, and they've gone from nothing to millions of people now using these capabilities. To your point, Sam, there's this chart that we were provided actually by your folks out at Stanford, which actually illustrates the competitive nature of the large language models in China versus the United States over time.

24:34Correct. You look at it, the point I was making, up until 2024, it was clearly a blue curve led by the United States, the companies, but led by the United States. It flipped in 2024, and China went vertical, and it's almost caught up to the United States now. This thing is rocketing. As happens so often, it ultimately comes down to business, albeit business with profound ramifications well beyond the specific companies involved. AMD's Sue has little doubt that what works best for AI development overall will also be the best way forward for her company. The ability to collaborate actually helps us go faster because you only have to differentiate on the things that are, let's call it, the most secret sauce.

25:18And if we can come up with standards so that we're not doing the same work multiple times at different companies, that's actually a good thing. And the secret sauce for you is in the chip. Yes. The secret sauce is in the chip. It's in how we marry the chip to what will eventually be the application. And in our world, David, what I find the most interesting is the idea that every application that we see going forward, every device that you see is going to have AI as part of its essential element. And we want to be as much as we can the provider of that essential AI capability from the hardware side.

Read the full transcript

25:57We've seen sort of the advent of ChatGPT now turn into, you know, is there a AI bubble? and I say that we're just starting to see the real utility of AI. Yes, the investments are high, but why are we all so, so confident that there's a payoff at the end? The way AI has been improving over the last, let's call it, couple of years has been faster than any other technology that I've seen. The adoption rates have been faster than any other technology. The potential is faster than any other technology. But what I'm here to tell you is that it's nowhere near its peak capability. Up next, going nuclear.

26:41However we build the AI systems, can we run them without nuclear power? More nuclear power than we have ever seen before.

26:55I'm Carol Masser. And I'm Tim Stenevec, inviting you to join us for the Bloomberg Businessweek Daily Podcast. Now, every day, we are bringing you reporting from the magazine that helps global leaders stay ahead. We've got insight on the people, the companies, and trends that are shaping today's complex economy. That's right, Tim. We're all over global business, finance, tech news, all as it is happening in real time. And we've got complete coverage of the U.S. market close. Gotta say, basically, if it impacts financial markets, if it impacts companies, if it's impacting trends and narratives that are out there, we are on it.

27:24We also have a lot of fun doing it. Bloomberg Business Week also brings you the analysis behind the headlines through conversations with our expert guests. And we are doing this all live each weekday. And then we bring you the best analysis in our daily podcast. Search for Bloomberg Business Week on YouTube, Apple, Spotify, or anywhere else you listen. Check it out on your way home from work to catch up on the conversations that you miss during the business day. And on the weekend, check it out for a complete wrap-up of your business week. That's the Bloomberg Business Week daily podcast. I'm Carol Masser.

27:53And I'm Tim Stanovic. Subscribe today wherever you get your podcasts.

28:03This is a story about betting on the come, when we have a lot on the line and really need it to work. But the outcome is far from certain. The United States and the world are facing an impending power shortage. What we know now is that the nation, the country, is short of electrons, and we need to build more generation. We do have an incredible demand, increasing demand for energy. We are seeing fundamental growth in the demand for electricity. Why do we suddenly need so much more electricity? Well, we've all heard about AI data centers hungry for energy that would satisfy medium-sized cities, but it turns out that's only part of the story.

28:46AI data centers appear to be the sort of fastest coming and largest new source, but over the long-term, reshoring of manufacturing will be incredibly important as well. Joseph Mikot is director of the Energy Security and Climate Change Program at CSIS and author of paper on energy strategy for the Aspen Economic Strategy Group. When we look at the onshoring of manufacturing, there's a couple different sources of new demand that are going to really come to bear in the next few years. One is semiconductor manufacturing. As the U.S. has tried to secure that supply chain, the government is making investments in public-private partnerships in building leading fabrication facilities here in the U.S.

29:30The U.S. for the previous decades had had very little growth in its use of electricity. We now foresee growth between 20 and 100 percent over the next 15 years. So where are all these electrons going to come from? If we're going to double our energy supply, or even just lift it by 20 percent over the next 15 years, one of the sources will have to be nuclear. Nuclear is going to be a contributing factor for sure. I think we need to continually apply the right technologies where the right resources exist. Scott Stracik is president and CEO of GE Vernova, whose business includes power solutions from nuclear, natural gas, and wind.

30:12In the U.S., as an example, we do have very inexpensive gas. Because of that, we do want to leverage that resource. At the same time, we have a lot of good land that has good fuel in the form of wind and solar. Where those resources exist, we should use them. Where nuclear plays a really important role is where those natural resources aren't readily available, and it's especially important in places where we need what we call power-dense solutions. And what I mean by that is places that need electrons that don't have a lot of space, because we can build nuclear in a fairly small amount of space, yet it creates a lot of electrons.

30:52If nuclear is going to be an important part of meeting our energy demands, it has a long way to go. The U.S. has had commercial nuclear power plants since the late 1950s, but only two have come online in the last 30 years. Today, only about 20 % of electricity comes from nuclear generation, a number that hasn't increased for decades. Historically, when we've been building nuclear plants, because they require a lot of infrastructure, they require a lot of security apparatus, we would build one plant that would be directionally a gigawatt in size. And that's a lot. That's a million homes that it's powering directionally.

31:31Today, what we're working on is a small modular reactor, which is a 300 megawatt. application. Historically, the U.S. has built very large light water nuclear reactors. And while that supply chain has atrophied, we have partners who can supply that technology. It is licensed and ready to be built when it can achieve financing. Those are large grid scale reactors. Reactors of another size, of other designs, still have to make it through the regulatory process, but they hold great promise both as grid serving entities, maybe running smaller microgrids, working for industrial facilities. I don't think the right question is to say which of these is going to win, but rather how do we build an ecosystem that can support both because both will provide solid services to U.S.

32:17consumers as well as export opportunities for the United States. One of the challenges in the nuclear industry is when we were building them at a gigawatt size each one was a little different and with each one being a little bit bespoke and unique the cost was always higher than desirable. by scaling to a smaller product that we can fit into many more applications we have a much higher degree of confidence that we can come down the cost curve because ultimately affordability matters and nuclear is very attractive because it's a zero carbon electron but early it's going to be more expensive and we need to give the industry and our end customers confidence that we can come down the cost curve as we as we gain more volume which I'm highly confident we can do.

33:01What about the fuel source? Is the fuel the same for the big gigawatt as it is for the 300 megawatt? It is and we'll create the fuel in the same location in Wilmington, North Carolina for our small modular reactors that continues to feed the 60 gigawatts of existing install base we have in the country. Is fuel supply a potential limiting factor as we build out nuclear? As nuclear grows for sure we're going to need more uranium supply. I think this is an area for growth in the U.S. We certainly are dependent on other countries today for more of our uranium than we are, as an example, with things like gas, where we can extract all of it out of the ground ourselves here.

33:41So that is going to be priority, and I think that's something that you're seeing a lot of companies lean into today. As promising as small modular reactors may be, the need for energy won't wait. Peak U.S. power demand is expected to outstrip peak supply by And the fact remains that, as of today, there are no small modular reactors actually up and working in the United States, or anywhere outside of China and Russia, though GE Vernova hopes to change that by 2030. Nicole Holmes is the company's chief commercial officer and a nuclear engineer. This is very important. If you don't remember anything else, it's that this is real and it's happening right now.

34:21A lot of people ask me, when will nuclear happen? When will there be new nuclear? And the answer is going on today in the Ontario province in Canada. We are building the BWX300 and with our partner OPG, the small modular reactor will be online by the end of this decade. So if you start today in the US, for example, we have a construction permit application with our partner, the Tennessee Valley Authority, the utility that would own and operate that reactor, in front of the Nuclear Regulatory Commission with the timeline to get that construction permit at the end of 2026 and potentially begin construction as early as 2027.

34:59In this kind of time frame, we could have small modular reactors operating in the early 2030s in the United States. The time is now. The reality is after Fukushima and most of the Western world, there has not been new build. Now, we also were living during a period of time in which electric demand growth was reasonably flat. We're past that. We're at an inflection point where we need a lot more incremental electrons for national security, for economic growth, to frankly keep the lights on as many parts of many industries are electrifying. So when you don't have ultimate demand, it's hard to innovate.

35:39We're now into a phase where we have a substantial amount of growth. So it's the right time for nuclear to reemerge. It's also a time where it can play an incrementally important role in the decarbonization of the existing system. In the U.S., a lot of the decarbonization that has happened in the U.S. to date was really coal to gas switching, because gas is two-thirds less carbon intense than coal, but there's still a carbon element. The beauty of nuclear is at zero carbon. And as customers want to lower the carbon intensity of their total solutions, think hyperscalers as an example, they'll pay to add nuclear into their power generation mix to meet their sustainability commitments.

36:23The increased demand for electricity is one reason the move to nuclear may accelerate. Another is government support. The U.S. government plays an incredibly important role. It starts with the Nuclear Regulatory Commission approving our ability to start construction on projects. We do expect that by the summer of 26. Beyond that, funding certainly is a relevant dynamic. We have a project with TVA, Tennessee Valley Authority, that just received$400 million of funding support from the Department of Energy. We also signed a$100 billion MOU with the U.S. government earlier this quarter in October to industrialize small modular actors in the U.S.

37:04when President Trump and a number of business leaders were in Japan earlier in the year. That could materially move the nuclear industry sooner if we gain access to a lot of that funding. Right now it's a MOU. We're working really hard right now on site selection, on terms and conditions, to translate that MOU into a definitive agreement. And if we can get something done with the U.S. government in that regard at scale, that could be a real catalyst. So Secretary Wright, Secretary Lutnik are both playing very visionary leadership roles, as I see it to try to move this nuclear industry and we're working with them every day and every week to make that a reality.

37:44Business has all sorts of uncertainties. International relations go to a degree beyond that. Yes. How confident are you in that money from Japan specifically that was talked about in the commitment for investment in the United States for nuclear and for Vernova specifically? Well in our case one of the benefits we have is we do have a Japanese partner in our nuclear business. So it's GE, Vernova, Hitachi together. I mean, Hitachi is a minority partner, but a very important partner for us. So if the Japanese government is going to fund projects in the U.S. associated with that trade deal, it certainly makes sense for it to be in arrangements where there's Japanese companies also involved.

38:24And that's one of the benefits we have. Ultimately, opining on whether the transaction happens or not with the Japanese government is probably beyond my pay grade. I'll tell you, though, that when I was in Japan with the U.S. government and many of my business peers, I found the interactions highly motivating. Nuclear energy has had a long and not always smooth path in the United States, but the coming together of much higher demand for electricity, not least because of AI data centers, with bipartisan support in Washington may mean that this time truly is different, that nuclear power will provide the card that completes that inside straight we need to pay off for us all.

39:06You know, on the topic of nuclear, I think the good news right now is that's generally a topic that's agreed to on both sides of the aisle. So there's some consensus there, maybe more so than some other power generation sources. So I'm not concerned about future administrations per se when it comes to nuclear. So we needed a kickstart. And with President Trump's vision, the country has it right now on nuclear. So we do, inside the company every day, talk to ourselves about meeting this moment and serving that vision. 2026 is an incredibly important year for nuclear in the U.S., but I think we're going to get a lot done.

39:45Coming up, shopping for the holidays. We look at the future of department stores and what they need to figure out to have a future.

40:00This is Caroline Hyde. And I'm Ed Ludlow, inviting you to join us for Bloomberg Tech, a daily podcast focusing exclusively on technology, innovation and the future of business. Every weekday, we bring you the top headlines from the world's biggest tech companies. From finance to defence, AI to entertainment and from startups to the magnificent seven. We highlight the latest stories of the people and companies pushing the tech sector to new frontiers and the politics that shape global tech markets. We do this all every weekday, then bring you the most important conversations and analysis in our podcast.

40:34Search for Bloomberg Tech on YouTube, Apple, Spotify or anywhere else you listen. Join us every afternoon on your commute home and stay ahead of the tech news cycle. That's the Bloomberg Tech Podcast. I'm Caroline Hyde in New York. And I'm Ed Ludlow in San Francisco. Subscribe today, wherever you get your podcasts.

41:17Our colleague Romain Bostic reports on one iconic retailer with ambitious plans to make its department stores fit the new age of the American shopper.

41:30The holiday season, that time of year when the city that never sleeps takes a moment to reflect. Lights twinkle up and down the avenues of New York City. From the posh storefronts down in Soho, to the ornate window displays up along Fifth Avenue, to the epicenter in between, the miracle and magic of Macy's on 34th Street. Christmas isn't just a day, it's a frame of mind. American retailers seize on the season, hoping to capitalize on that frame of mind, creating something that lasts beyond just the holidays. A reflection of that effort can be found about an hour's drive away from Manhattan in the Long Island suburb of Garden City, New York, where Macy's is spearheading a broader corporate transformation.

42:12We're looking to be that neighborhood store, the place that you think of that is really convenient, but also has special things that you can buy for the people you love. Tony Spring took over as CEO of Macy's Inc. in 2024 after more than nine years of helping to refresh the company's luxury retail arm, Bloomingdale's. Now, the focus is on the Macy's brand itself, a middle market department store that has been plagued by slowing sales and waning cultural relevancy. In his first month on the job, Spring announced plans to close a third of U.S. Macy's locations, a move that would free up$750 million of assets, money to be reinvested in the best-performing stores, including here at the Roosevelt Field Mall.

42:52When it opened in the 1950s, the I.M. Pay-designed Roosevelt Field Mall was the largest in North America and today is situated in a county whose median income is significantly higher than the U.S. average. This is a storied retailer with incredible rich history that we're very proud of, but we never want our rich history to get in the way of our brighter future. The optionality that the customer has that they may want to shop on their phone, they want to shop in their car, they may want to shop in the store. And we have to be able to adjust the way we work to be able to provide that convenience for the customer.

43:27But that link between department stores and the customers they target, it's largely broken down. department stores account for less than 1 % of total U.S. retail sales, down from about 16 % in the early 1990s. Retail historian Michael Lissicki suggests the decline stems from losing sight of the core consumer. These stores really excelled when they were able to directly serve their immediate communities. They weren't just commercial destinations, they were social destinations. And that was so important in their general success. Department stores have long been a mirror of the American consumer, but their roots, they go back centuries.

44:04To the Tokyo fabric shops of the 1600s, to the more modern template established in the 1850s, when a French husband and wife duo transformed a small Parisian novelty shop into Le Bon Marché, offering at the time the widest variety of goods under one roof. They started out very modest, usually as dry goods stores, and then slowly graduated and became bigger. It really was the focal center of so many communities. What happened? America raced to the suburbs, and new families were not necessarily drawn to department stores. They wanted price. They wanted convenience. They wanted late hours. And though the department stores tried to chase their traditional shopper to the suburbs, the customer had changed.

44:49Who is the customer today? I think that's a question that these remaining department stores need to ask themselves. The middle is exactly where Macy still sees promise. Let's think of the middle as the center, the center of it all, which the center gives you the opportunity to serve up and to serve down. And I think from backstage to luxury, we have the opportunity across this retail portfolio to satisfy what customers are looking for. Today, the customer has choices. They're not handcuffed to any mall or any downtown. They can shop literally anywhere. literally anywhere, and they love the freedom that they've been given.

45:29Mark Cohen is a retail veteran who worked as an executive for some of the most iconic and now defunct department stores of the golden era, Bradley's, Lord & Taylor, and Sears. A store has to be neat, clean, and friendly. That's sort of step one. That's old-style store management, and it got lost at Macy's 25, 30 years ago. It seems like it would be a lot easier to do that if you were a single brand store or a more curated, smaller footprint. It's easy if you're Apple and you only have a handful of products to sell. And your devotion is to those products and your store presentation is deliberately, completely simple and straightforward.

46:08It's all about the merchandise. To make matters more complicated, the divide between the haves and have-nots is widening. Economic uncertainty forcing middle-income households to pull back. When you look at where we are in 2025, heading into 2026, is there a middle market retail business model? There's a market. It's not the market that there once was. It's a market that's under tremendous pressure and challenge. But it's viable if it represents things customers really want to buy. And it treats customers well enough for customers to remain loyal. One of the ways Macy's attempted to capture the shrinking middle was through deep discounts.

46:54Tony Spring is changing that precedent. I think closing a sale with value is compelling. People do it in many walks of life, whether it's the hotel I stay at or the restaurant that I visit. And we're in many different loyalty programs. But we shouldn't start with the value. The value should be what helps close the sale, not what helps open the sale. Let's talk about leather. Let's talk about cashmere. Let's talk about lab-grown diamonds. Let's talk about fragrance. Let's talk about the things that people actually are attracted to. And then if value is a way to close the sale, so be it. It's a testament to a power shift from the old days where department stores and their fashion buyers were the tastemakers to today where the customer is firmly in charge.

47:37So how does a department store meet shoppers on their terms? I mean, in America, it's not like we really need to purchase apparel or accessories. This is something you do if you have a kid and they outgrow it. But today's customer wants to be excited about buying something. And I think that's what's missing. Sean Grain Carter is a branding expert and associate professor at the Fashion Institute of Technology and was once the e-commerce director for Macy's, helping launch its online strategy in the late 1990s. It's the magic of wanting to shop, not having it as drudgery. It's something you have to do because of the holidays coming up and therefore you have to give a gift.

48:15It's the excitement of finding something new, finding something that you think is sexy or interesting or just plain, you know, what you want. These days, that excitement comes just as easily through a few clicks as e-commerce offers customers an online version of the everything store that department stores once were. You could go to Macy's, you could go to Marshall Fields, Garfinkel's, you know, Wanamaker's, iMagnet, and feel that what you bought was special because these stores made you feel special and that experience made you feel special. Today, it's almost as if there's no excitement in shopping and that's the magic that's missing.

48:54I mean, we know Macy's for their Thanksgiving Day parade and that's great, but customers don't want to feel that you don't want them. People love to be taken care of. And I think with our environment, you know, to have a beauty advisor tell you that that foundation doesn't really work on your skin, to be able to mix different brands in beauty, to create what is your makeup regimen, that only happens when you're working with people who will tell you the truth. That looks good on you, that doesn't look good on you. And I think we learned a long time ago in kind of retail sales 101 to tell somebody somebody looks good in something, just to make a sale only means you lose a customer for life.

49:33So you're better to give them the honest opinion and find something that works for them. I kind of come back to multi-brand, multi-category, multi-priced. It is really an effective advantage in this environment where people really aren't sure what brand is right for them. Online shopping in the U.S. topped $1.3 trillion last year. But in-store shopping is still the preferred method for most Americans, with almost$6 trillion in sales, according to a report from Capital One. Bloomingdale's CEO Olivier Braun interprets these trends as complementary. Of course, digital will keep growing. It's a fast-growing channel for us, and it's been the case for many years.

50:11I think we are seeing more and more transactions happening online. But for me, the best way to actually invest online is keep investing in the stores. The best branding investment we can make as a department store is investing in the store. Bloomingdale seems to have cracked the code. Under the Macy's Inc. umbrella, the department store has leaned into its high-income consumer base. Bloomingdale's emerged from the murk of a middle-ground, non-differentiated store on 3rd Avenue in the shadow of the 3rd Avenue L. I'm showing you my age. and became a real destination by virtue of the assortments that it presented, the ambience it created, the mojo that it delivered.

50:57Tony Spring is widely credited with restoring Bloomingdale's success. Serving as CEO from 2014 to 2023, he's now looking to bring that same feeling to Macy's. The wonder of Bloomingdale's is that you kind of come in and a lot of eye candy. You see great brands. And there's the real careful precision and the curation and the editing of what you see and how it all comes to life. He did a great job as the CEO of Bloomingdale's. He's now got this enormous task of recreating, creating some form of magic that exists for real at Macy's. It's a different customer, though, at Macy's. It's a different customer, but it's the same challenge.

51:37It's the same challenge. You've got to be special. So when the holiday lights come down, the Thanksgiving Day parade balloons go back into storage, and the New York rush resumes. Macy's is still faced with the reality of a shrinking middle class. Who is the Macy's customer today? So working, woman, family, people who enjoy, I think, the nicer things in life, but also like value. And I think the balance of us as retailers not determining this is on sale or this is not on sale or that everything you buy is on sale or that everything you buy is at regular price. We like to have a menu. And I think it allows you to indulge in the people that you love.

52:16We have the capacity to show retail, to show the consumer Macy's at its best, as opposed to just trying to survive. And I think there's a fine line that you move from surviving to getting into the game, to playing to win, to making sure you're showing the customer the very best that you're capable of.

52:48This is Scarlett Fu. And I'm Paul Sweeney, inviting you to join us for the Bloomberg Intelligence Podcast. Every day, we harness the power of Bloomberg Intelligence to bring you deep dives into the companies that are moving markets from publicly traded companies like Apple to those that are privately owned, but known by everyone on earth, like OpenAI. Now I helped to build Bloomberg intelligence to what it is today, Scarlett. And now our analysts are the best in the world, covering more than 2000 global companies. That is your legacy, Paul. And we speak to those in-house experts every day. They are Bloomberg's go-to authorities on sectors, companies, and legal processes.

53:21And we do it all live each weekday, then bring you the best conversations in our daily podcast. So be sure to search for Bloomberg Intelligence on YouTube, Apple, Spotify, or anywhere else you listen. Listen in the afternoons on your way home from work to catch up on the market news you missed during the business day. That is the Bloomberg Intelligence podcast. I'm Scarlett Fu. And I'm Paul Sweeney. Subscribe today wherever you get your podcasts.

From the publisher

This week, Glenn Hubbard warns that tariffs, shaky data and a mature credit cycle create risks as the Fed looks toward 2026. And, will open AI ecosystems win out over closed models, as AMD CEO Lisa Su and former IBM CEO Sam Palmisano suggest? Plus, from AI to manufacturing, soaring electricity demand is forcing a rethink of where our power comes from and how fast we can build to generate it. Later, can Macy’s reinvent the department store for today’s shopper?

See omnystudio.com/listener for privacy information.

More from Wall Street Week

All 71 episodes
Hubbard on Fed Cut Fallout, Open Source AI, Nuclear Bet, Department Store RevivalWall Street Week · 48 min
Listen in VO