AI Hits Wages, USMCA Under Pressure, Colorado River Crisis

21 Aug 2026 · 57 min · 23 chapters

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In short

Episode topic: AI investment and job effects; U.S.-Canada trade talks and USMCA pressure; Colorado River water crisis and rationing.

Guests and backgrounds

  • Sam Palmisano, former IBM CEO; led capital investment in new technologies.
  • Torsten Slock, chief economist at Apollo; co-authored an AI labor-market study.
  • Chrystia Freeland, former Canadian deputy prime minister, foreign minister, and finance minister; special contributor on trade talks.
  • Jennifer Gimbel, water policy scholar and former Bureau of Reclamation official.
  • Dan McAvoy, climatologist at the Western Regional Climate Center.
  • Brenda Berman, general manager of Central Arizona Project.
  • Andrew Leimgruber, Imperial Valley farmer.
  • Dan Denham, general manager of San Diego County water authority.

Key claims and notable examples

  • AI: highly exposed occupations show weaker wage growth, but employment effects are “insignificant”; business creation is at record highs. Companies automate repetitive/low-attrition roles first; radiologists’ wages rose faster than software engineers since 2021.
  • AI capex: data centers/energy have multi-year build cycles; many deals are “memorandums of understanding” with uncertain teeth.
  • Trade: tentative deal may avert Aug 19 tariffs; Canada may accept lower (but still present) tariffs on steel/aluminum/cars/parts—seen as a major Canadian concession.
  • Colorado River: worst-ever conditions; lowest snowpack and early melt; Lake Mead/Powell near critical levels. Federal rationing proposes ~1.5 million acre-feet lower use in lower basin, with Arizona hardest; solutions include efficiency, but fallowing is costly; San Diego explores desalination-linked water exchanges.

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

Chapters

Tap a time to open that second in VO

Introduction to AI in Business

1:06 to 2:00

The hosts discuss the impact of AI on businesses and job markets.

“Everyone's talking about how AI is transforming work, especially in sales.”

Investment Trends in AI

2:00 to 2:47

Discussion on the massive investments being poured into AI technology.

“I'm David Weston bringing you stories of capitalism.”

CEO Insights on AI Investment

2:47 to 4:19

Sam Palmisano shares perspectives on investing in AI and its challenges.

“Sam Palmisano served as CEO of IBM where he was responsible for capital investment in new technologies and the need to make sure they made money for the company.”

Historical Patterns of Technological Revolutions

4:19 to 9:21

The conversation explores historical patterns in technological advancements.

“that would be the hurdle rate the guys would have to come over before you launched.”

Navigating Economic Uncertainty as a CEO

9:21 to 9:50

Strategies for CEOs to manage risks and uncertainties in investment.

“I'd argue back in the dot-com bubble, they said it won't there as well.”

The Role of China in Global Tech Landscape

9:50 to 13:08

Discussion of China's impact on tech markets and investment dynamics.

“Well, basically, if I'm now, let's go back to my IBM story here, how we would be more conservative on the aggressive case.”

Transforming Work with AI

14:37 to 15:11

Discussion on how AI is changing workflows and sales processes.

“While the landscape shifts, one thing remains the same, the thrill of closing a deal.”

Impact of AI on Wages and Employment

15:11 to 21:02

Explore how AI is changing wage dynamics without significant job losses.

“Until recently, most of the talk about the effect of AI on employees has been based on theory.”

AI's Role in Job Automation and Creation

21:02 to 23:52

Discover how AI affects job roles, especially in lower-paid sectors.

“which workers can be retrained, and how best to allocate labor costs.”

Employee Empowerment Through AI

23:52 to 27:22

Learn how companies can enhance worker engagement using AI.

“And so I'm seeing a lot of really thoughtful work being given to that by companies because they want to preserve their judgment capability.”
Show all 23 chapters

Employee Empowerment Through AI

28:00 to 28:14

Learn how companies can enhance worker engagement using AI.

“So all the source materials, briefs, and scattered information that you have to grind through to turn into something useful can just become something useful.”

Employee Empowerment Through AI

28:19 to 29:49

Learn how companies can enhance worker engagement using AI.

“Everyone's talking about how AI is transforming work, especially in sales.”

U.S.-Canada Trade Relations and Tariffs

30:01 to 41:24

Discussion on the current U.S.-Canada trade agreement and its implications, especially tariffs.

“and Canada have been neighbors, allies and generally friends since Canada first became a country independent of the British Empire.”

U.S.-Canada Trade Relations and Tariffs

42:08 to 42:18

Discussion on the current U.S.-Canada trade agreement and its implications, especially tariffs.

“Put ChatGPT to work on your most ambitious ideas and projects.”

U.S.-Canada Trade Relations and Tariffs

42:25 to 42:57

Discussion on the current U.S.-Canada trade agreement and its implications, especially tariffs.

“Everyone's talking about how AI is transforming work, especially in sales.”

The Colorado River Crisis

43:59 to 46:40

Explore the ongoing crisis surrounding the Colorado River and its implications.

“You're listening to Bloomberg Wall Street Week with David Weston from Bloomberg Radio.”

Legal Framework and Water Rights

46:40 to 51:05

Understand the complex legal landscape governing water rights in the West.

“This is a widespread event where we've seen some of the lowest snowpack on record going back 50 to 75 years or even longer.”

Desalination and Water Scarcity

51:05 to 55:13

Examine the role of desalination in addressing water scarcity issues.

“We have strong standing water rights that have gone all the way to the Supreme Court.”

Future of Water Management

55:13 to 55:47

Discuss the need for a new operating system for water management.

“It's clear that the basin region needs more than a temporary fix.”

Future of Water Management

56:06 to 56:35

Discuss the need for a new operating system for water management.

“ChatGPT Work is a new way of working in ChatGPT that can take action across your apps and files, stay with a project for hours if needed, and turn a goal into finished work.”

AI's Economic Impact and Government Regulation

58:17 to 1:02:09

Explore how AI is transforming the economy and the role of government regulation.

“Artificial intelligence is on its way to transforming the economy.”

The Need for Guardrails in AI

1:02:10 to 1:05:48

Discuss the importance of implementing guardrails to manage AI risks.

“I mean, going back to the railroads, we had the Interstate Commerce Commission.”

The Need for Guardrails in AI

1:07:27 to 1:07:53

Discuss the importance of implementing guardrails to manage AI risks.

“If you've ever waited on a refill or couldn't schedule an appointment, you get it.”
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Transcript

Automatic transcript. May contain errors.

0:00Wall Street Week is brought to you by OTC Markets Group. OTC Markets' overnight platform for exchange-listed securities, Moon ATS, provides access to global securities in U.S. dollars from 8 p.m. to 4 a.m. Eastern, Sunday through Thursday. Learn more at otcmarkets.com slash moon. Moon ATS is operated by OTC Link LLC, a FINRA-registered broker-dealer, and is available only through participating broker-dealers. Some people treat ChatGPT like some kind of smart search engine, and some use it to get work done. ChatGPT Work is a new way of working in ChatGPT that can take action across your apps and files, stay with a project for hours if needed, and turn a goal into finished work.

0:43It's designed to help you move from a chaotic starting point to a reviewable first version. So all the source materials, briefs, and scattered information that you have to grind through to turn into something useful can just become something useful. Put ChatGPT to work on your most ambitious ideas and projects. Get started at ChatGPT.com by selecting work mode, available on plus and pro plans. Everyone's talking about how AI is transforming work, especially in sales. While the landscape shifts, one thing remains the same, the thrill of closing a deal. Whether it's a gong or a confetti machine, every team has its celebration rituals.

1:20Adio is designed for that moment. It's the agentic CRM that turns customer signals into actionable insights, helping you close deals faster with revenue agents and automations working around the clock. You'll have everything you need to scale your go-to market efforts. Elevate your wins with Adio. Start your free trial at adio.com slash iHeart. Bloomberg Audio Studios. Podcasts. Radio. News.

2:00This is Wall Street Week. I'm David Weston bringing you stories of capitalism. U.S.-Canada trade talks come to the brink. Former Canadian Foreign Minister Christian Freeland tells us what is at stake. And there's been a lot of speculation about what AI will mean for jobs. Apollo's Torsten Slock brings us the first study of its kind on what's actually happened since ChatGPT came on the scene. Plus, it supports$1.4 trillion of U.S. GDP and 16 million jobs. But the Colorado River is running out of water. We look at government plans to ration what's left. But we start with the hundreds of billions of dollars being raised to invest in artificial intelligence, including$500 billion in one deal done by NVIDIA.

2:47Sam Palmisano served as CEO of IBM where he was responsible for capital investment in new technologies and the need to make sure they made money for the company. So Sam, there is a lot of money being invested in AI whether it's chips or whether it's data centers including the NVIDIA announced deal of$500 billion. Give us the perspective of a CEO of a big tech company. How do you decide how much to invest in a new technology? How we would have thought about it, as you know, I have one of these big tech companies. We would have thought about where do we see the future state? And you go back to Watson with the 360, because that was going to be from unit record to computation called a computer, right?

3:30My particular case was AI, Watson, Jeopardy, you know, right? So how do you jump ahead of the next generation? Because the investment cycles in the R &D are going to be several, several years. So you have to start no different than quantum. That's another example of that. That's true for all tech companies. I'd say it's true for many companies that are relying upon any form of technology. It could be energy and those sorts of things as well. So we would always look out in time. And that could be, from the R &D cycle, it could be like a 7 to 10 years in the models, 3 to 5 for short term. We call that operational investment, but for the longer term things.

4:06And then basically you start out with goals and milestones and objectives because you don't have numbers. And then as you get closer, you actually build your return equations as your business model dictates. So if your IRR is 15 % or 14%, that would be the hurdle rate the guys would have to come over before you launched. Seven to 10 years is a long time in any business. Yes. But right now, it seems like seven to 10 months in AI. It's a long time. Product cycle time, right? Exactly. How do you project out returns with AI that's changing so fast? Well, the software's changing fast, and the models, right?

4:44The learning models, the frontier models, that's what's changing really fast. Data centers aren't changing fast. I mean, the estimates are three to five years before this stuff comes online. That's not unrealistic. Semiconductors, you get it online, probably seven. Nuclear, at least 10. So that's the energy requirement for a lot of these things. So these things are long cycle times before you actually get the capacity in place. Now, I mean, the challenge with this in the interim, obviously, is people, the large hyperscalers, the big guys out there, will probably have enough requirement that they'll in many ways control the market.

5:24I mean, because they'll make the big bets in the short term. They'll get the data centers. They'll get the energy. other guys that are trying to compete or even to participate in this market are going to, I think, be squeezed out. We have all these announcements. Is this money actually going to be invested? Is it going to happen? Well, right now, they're memorandums of understanding. People claim that there's commitments and there's teeth in these agreements. I have not read them. I have asked people who theoretically should know, and they tend not to comment on the actual specifics. So I'm just going to leave it at that.

6:00I can't imagine if this thing adjusts, say, economically. Suppose, for example, just adoption slows. It doesn't have to be an economic downturn. Just a simple thing. Your adoption curve, you assume it'll be seven to eight years. Let's make it 10 to 12. That slows. You're not going to build out the capacity as quickly. That alone could cause, I think, a change in their plans. And then if there are firm commitments, it's one thing, which I doubt. as they become more variable commitments over time someone again is going to have to deal with the shortages i mean either the bondholders i mean someone committed to put a shovel in the ground to build a data center someone agreed to add energy capacity to support this aggressive case that we see today at some point if things do slow that would have to adjust the way things are today we tend to look at a company based on return on investing capital yes and we compare companies depending on their return for example I took a look and IBM is running about 10 % return investing capital Microsoft you know Google alphabet is like 25 % correct take the 10 % number on 500 billion dollars that's a lot of incremental income that you have to generate every year every year and put that on the base of say IBM today 60 or 70 billion I was a hundred billion when I was there on five whatever put on that base of some level our margins were a little higher than they are today but put on the base that you already have a stream of several billion you got to add an additional several billion in an annual basis and I used to say that at IBM for us to grow at seven right percent just on the top line we'd have to be create a fortune 50 company every 14 months.

7:48Now, in enterprise computing, that's tougher. Consumer and tech is probably an easier way to do that. You get a hit, a hot phone or whatever it happens to be. But if you're selling to banks or telcos or governments, the odds of them taking up their expenditures at that rate so you could create a Fortune 50 company is pretty tough to do. If you look back at history, some of which you lived at IBM, but also going back to the Industrial Revolution, railways, things like that, are there patterns with these sort of technological revolutions that we see? Yeah, there are actually. There's a scholar at Cambridge, her name is Carlotta Perez, and she's done a lot of work going back to 1771 for the Industrial Revolution, then the steam engine, and then oil and gas, and then microelectronics and compute.

8:31And now she would probably run her sixth generation. But the pattern is the same over time. It starts with, she calls the installation cycle, we would call maybe the industrial, I mean, infrastructure build out today that's the base that that gets put in place and it takes several years to do that obviously to get it to scale and then normally what has happened over this history here is that it has corrected for multiple reasons it could be an economic reason it could be policy I mean governments do things that sometimes don't always stimulate growth so there could be multiple reasons why in every situation it adjusted now her argument is that's It's good for capitalism because it resets the cost base.

9:12And then what happens, this build, she calls it the deployment cycle, then people build up and then it goes to maturity with big societal impact. That pattern has repeated itself since the 18th century. Will it repeat itself again today? People argue it won't. I'd argue back in the dot-com bubble, they said it won't there as well. I mean, housing crisis, it was never going to go down. I mean, as you know, we've all lived these things. unfortunately, circumstances do change. It's good for capitalism to reset the cost base. It's not necessarily good for investors who invested in that. That means somebody is taking a haircut along the way.

9:49As a CEO, how do you make sure that you don't get caught out in that? Well, basically, if I'm now, let's go back to my IBM story here, how we would be more conservative on the aggressive case. You have to admit, I think the cases are the optimistic, all thing goes well. goes, I mean, we used to say all trees don't grow to heaven. So you have to have a downside case to go. We called it a plan B, quite honestly. So you'd have your plan A, you would drive to the plan A, which is the high optimistic case. But you had a plan B that if you had to correct quickly, you could adjust. And I would say probably six out of 10 times we were adjusting before that cycle was over.

10:29Because again, it's very difficult to predict. Think about if you're dealing with It's just a flat-out demand statement. I mean, who can call it? They can't call supply chain demand for a year or two from now, much less 8 to 10, where you're making these assumptions. In the Perez work, she also talks about a financialization of these things, where the financial markets really kick in now. We're seeing that to some extent now. There are some reports about off-balance sheet financing. Do we have our arms around exactly how much these companies are investing? There's no transparency, as you probably know, in the off-balance sheet.

11:02estimates. And the companies at this point in time, given where the projects are, don't have a requirement to disclose. So you have a bunch of factors there where people are being estimated. But if you're a financial analyst in this space and you're trying to figure out the true liability or the true debt that you have relative to the company's debt capacity, it's very, very difficult. As people are projecting returns, future returns, which are speculative necessarily, It's a new technology. There's another factor that appears to be coming into play, and that's China, with a different approach to their models and a less expensive one, which could constrain those returns, could it not?

11:39Yeah, well, there's an alternative today. It's called open source. I mean, we did a program together on open source that happened to be with Linux and the operating system and then applications that were built on top of that. Well, the Chinese are arguing with DeepSeq and those sorts of things, and the latest ones have just come out that there's no reason why they can't have this open source capability available and it doesn't require their models don't require the same capacity as the us models the proprietary models are the gpu capacity so they have an alternative that's less cost and that's what they're deploying my my point of view is that if i was china not the united states because the us you would not like this i was china i would just go take the rest of the world let the u.s have a sanction say you can't come in you can't sell on my market fine but that today is probably less than 20 25 percent of the market so go get the 75 and if you look at what's going on in asia that's where they're going uh and they're going to take their model which the old industrial model they'll build up massive scale low cost high quality which people say It couldn't be high quality.

12:48High quality, take it to market, and then we know what happened everywhere else. And they're running the same play here. Coming up, it's time to stop speculating and start looking at the data. Torsten Slock of Apollo takes us through his study of what the actual use of AI means for the workforce. Wall Street Week is brought to you by OTC Markets Group. Thinking about joining the exploding overnight market space, but unsure where to start? Designed to meet the needs of a growing international investor base, OTC Markets' overnight platform for exchange-listed securities, Moon ATS, provides access to global securities in U.S.

13:26dollars from 8 p.m. to 4 a.m. Eastern, Sunday through Thursday. Extend your trading day and trade global securities in U.S. dollars through a FINRA-licensed broker-dealer. In the first half of 2026, over$28.1 billion U.S. dollars traded on Moon ATS. Learn more about Moon ATS. Visit otcmarkets.com slash moon. Moon ATS is operated by OTC Link LLC, a FINRA-registered broker-dealer. Some people treat ChatGPT like some kind of smart search engine, and some use it to get work done. ChatGPT Work is a new way of working in ChatGPT that can take action across your apps and files, stay with a project for hours if needed, and turn a goal into finished work.

14:11It's designed to help you move from a chaotic starting point to a reviewable first version. So all the source materials, briefs, and scattered information that you have to grind through to turn into something useful can just become something useful. Put ChatGPT to work on your most ambitious ideas and projects. Get started at ChatGPT.com by selecting Work Mode, available on Plus and Pro plans. Everyone's talking about how AI is transforming work, especially in sales. While the landscape shifts, one thing remains the same, the thrill of closing a deal. Whether it's a gong or a confetti machine, every team has its celebration rituals.

14:48Adio is designed for that moment. It's the agentic CRM that turns customer signals into actionable insights, helping you close deals faster. With revenue agents and automations working around the clock, you'll have everything you need to scale your go-to market efforts. Elevate your wins with Adio. Start your free trial at adio.com slash iHeart.

15:11This is a story of puts and takes. Until recently, most of the talk about the effect of AI on employees has been based on theory. But now we are starting to get some data. Torsten Slock is chief economist for Apollo and recently co-authored a paper analyzing those data for hundreds of occupations. And though it is early going, the initial results indicate that those most affected feel it in the size of their paycheck rather than whether they get to keep their job. It is now possible to look at what happened before ChatGVT came along and what happened after ChatGVT came along. And what we did was that we categorized the employment and wage numbers into occupations and asked what occupations were exposed a lot to AI and what occupations are exposed less to AI.

16:02And then we looked at as a natural experiment what happened before ChatGPG came along and what happened after ChatGPG came along. So when you look at the 300 different occupations that we looked at in terms of AI exposure, the conclusion is, at least where we sit right now, that those occupations that are highly exposed to AI, they are seeing weaker wage growth, but the employment effect on everyone is insignificant. What surprised you about the results that you might not have expected going in? Well, the debate around AI in the labor market for now some time has been about labor displacement.

16:33In other words, there's a lot of worries about that when AI comes along, then work process is going to get automated and therefore a lot of workers are going to lose their jobs. What we found was that that effect is not quite here yet. Instead, let's also not forget that when AI, of course, becomes more easily available as a tool, now it's also easier to open a new business. So if you look at the weekly data from the Centers for Business Formation, you are at the moment seeing business creation in the US is at the highest level ever in US history. So on this scale, you have on the one hand an automation and replacement effect that certainly saying that the labor market should get worse.

17:09But on the other hand, so far, the dominating effect has been that there is also a much more dynamic economy where people can now invent ideas, use agents, use loops, graphs to come up with ideas. And as a result, create more businesses that ultimately likely will also create some more employment. In talking about the labor market getting worse, as I understand your study, it said it gets worse more on the wage growth than it does actually in people losing jobs. But it's not evenly distributed. Yeah, there are some occupations that are more negatively impacted. We chose, and this was somewhat randomly, to categorize the buckets of occupations into those occupations that are more than half exposed to AI and those that are less than half exposed to AI.

17:49In other words, try to cut the sample into different categories of who is it that has high exposure, who is it that has low exposure, again, by this actual user's data. And that does show you that those who have higher exposure generally saw lower wage growth. So, in other words, you can begin to worry about that maybe AI, because it is replacing knowledge workers, is going to create some downward pressure on wage growth. So far, not on employment, but it's going to create some downward pressure on wage growth. You say in your report that it's still early days, that the effects may grow over time.

18:20Do you have any sense where we are in that process and how those effects may grow? We don't quite know at this point because the market is trying to figure out the answers to that question literally every day, namely, how quick is the AI payoff going to come? At the moment, enterprises are investing a lot of money in AI. But when you look at the actual margins for the S &P 493, meaning not the magnificent seven, Margins have not gone up yet. Most people, including me, expect that we should begin to see some improvements in margins over the next several quarters. But at this point, it is still very early days where businesses are trying like an S-curve to figure out, well, now we have a new technology.

18:59Now we're trying to figure out how to use that technology. And once we then have a way to use that technology, we will likely see another step higher in the S. And the implication, of course, is that those industries that will be able to implement and adopt AI will, of course, be the next winners as this technology continues to develop. Based on what you've seen so far, including this study, what does it say for economic policy? What should people in Washington be focused on right now? Well, the challenge in policymaking at the moment is that we just don't know which scenario we're looking at.

19:28Let's say the unemployment rate goes to like 10%, 15 % because people lose their jobs. Then, of course, economic policy should be focusing on that problem. If, on the other hand, that dominating effect here becomes that business creation is creating so many more jobs and therefore the unemployment rate, which is the consensus expectation, would actually be going down. Well, in that case, policymaking does not need to worry about displacement of workers. Then they should instead maybe worry about the economy overheating and another set of economic tools from policymaking will be needed. So that's why the problem where we sit right now here in 2026 is we just don't know whether the scenario at this point is one where the labor market is going to get a lot weaker or it's going to get a lot hotter.

20:06And for that reason, And therefore, the best thing for policy makers at this point is just literally like the market to wait and see. Are you as optimistic about AI at the end of this study as you were at the beginning? I'm very optimistic about AI because I do think that the effect of creating a more dynamic economy, many more opening up new businesses in consulting, in finance, in legal services, and those new businesses will compete with incumbents. And that will continue to put more and more competitive pressure on the economy. And that's something that we should all be very interested in because that creates more jobs, that creates more businesses.

20:41And ultimately, as a result of that, I truly believe that AI is a miracle drug that will both create higher productivity and also create higher employment. So I'm very optimistic on what AI will bring to the U.S. and the global economy. Whether AI eventually spells riches or ruin for workers, the numbers so far tell only part of the story. Inside companies, executives are already deciding which jobs can be automated, which workers can be retrained, and how best to allocate labor costs. Diane Gerson is a senior advisor at Boston Consulting Group, and she confronted those choices when she was head of human resources at IBM.

21:18Sam Palmisano:For certain jobs where there's high attrition, those are the jobs that are being automated, the first, with AI, those jobs are being replaced at a lower rate. The demand for those jobs is lower and it's your classic demand supply. So people are taking jobs at lower rates in those job categories, customer service being an example or business services. Those are the types of jobs where you need fewer of them because the work can be done by fewer people faster. So to the extent that they are being hired, yes, they may be hired at a lower rate. But I don't see companies cutting pay. The only area that I would see this happening is in areas where you have contractors.

21:58Sam Palmisano:right? So what you're seeing is there's a lot of data available. There are data brokers that can tell hospitals that are hiring traveling nurses which of the traveling nurses have low credit scores or credit problems. And so they can offer a lower wage and know they'll get it. Or ride hailing services, if there's a driver who previously took a ride at a lower rate, they'll keep being offered that lower rate. So I think those are spot wages as opposed to employees and you're going to see that happening faster. When you talk about categories that have, for example, high attrition, things like customer service and in general, and I understand this is a rough correlation, does that tend to correlate with lower income, lower salary?

22:44Sam Palmisano:Yes. Oh, absolutely. Yeah. So it's plausible that AI would affect first the lower paid employees before it gets to the upper levels. You know, I mean, yes. I mean, let's take legal. So it's the paralegals that are going to go first, right? Because so much of the paralegal work can now be done by, you know, one of the AI firms, Harvey or whatever. And so to the extent that a law firm says, oh, but we want these paralegals to be overseeing the AI, you know, then their jobs will change somewhat, or we'd like to train them to become, you know, some junior level of lawyer that never existed before, because that kind of work, you know, we never really could accomplish with our junior lawyers.

23:30Sam Palmisano:So there's, you know, there's a variety of different things going on. But yes, it's starting at the bottom with the more repetitive tasks, the analytical tasks, the known models. And, you know, of course, the big question is, as it moves up the stack and it's already moving up the stack, particularly in tech, you know, how are you going to train the senior people? Because if it's gobbling up the jobs below, the pipeline is lost. And so I'm seeing a lot of really thoughtful work being given to that by companies because they want to preserve their judgment capability. They want to preserve their leadership capability and their highest levels of expertise.

24:08Sam Palmisano:And so you've got to develop them through some set of jobs. The projections right now, and you need them to justify the investment that's being made, is that this is going to increase productivity substantially. If that, in fact, delivers on the promise, what does that mean for the workforce? Some companies are thinking broadly and saying, you know, productivity actually isn't going to increase our valuation that much. I mean, just doing things faster and cheaper doesn't mean you're going to have the highest valuations. But if we can create new products, if we can create new opportunities, if we can do breakthrough innovation, then we'll have a higher valuation because we'll have growth.

24:51Sam Palmisano:So I think those companies are saying, what can we now do with AI that's going to elevate our capability as opposed to just making us more productive and faster? A motivated workforce is essential and was part of your central responsibility. at IBM. As you look at AI, assuming you had your old job back, how would you use this to motivate the workforce? Because it could cut either way. It could demoralize people, really change the culture in a negative way, or I guess conceivably could motivate people. How would you use it? Well, I think some companies have done this really well. And I'll call out Walmart.

25:29Sam Palmisano:You know, they spoke with all of their employees and they said, AI is for you. You are in charge of the AI. It's to make your job better. And you're going to be involved in every stage of this implementation of AI. And so instead of it being done to them, they were made to feel like they're empowered with AI, right? And I think that's where, when people feel like they're losing their agency and their control, and they're just going to be, you know, I'm thinking about sort of, I love Lucy when they're on that chocolate line with Ethel, and it's going really, really fast. But at the very end, they have to put it in boxes.

26:04Sam Palmisano:And of course, humans can't put it in boxes as fast as the machine was going. So chocolates were all over. That's sort of the image that a lot of people have of AI because it is machine paced and it's going to speed stuff up. Is that what we're going to do to professional work? And that is happening in some places. But I think some companies are being much more thoughtful and saying, no, actually, it's to make you a better professional. It's it's to augment what you do. and that's where we're going to get our productivity because you'll be able to spend time on different things. A great example is the radiologists, which everyone thought was gonna go away.

26:41Sam Palmisano:Actually, their wages have gone up faster, 42 % faster than software engineers since 2021, even though AI can read the images. Why? Because they have more time to talk to the patient, to learn more about what's happening, to interpret things from their knowledge and experience so people can operate at the top of their license instead of doing the more menial parts of their jobs. That's a win if indeed you can create more value. So you're seeing kind of bigger thinking going on in some companies, but some of them are just, as I said, pressing the easy button and going for the layoff. Up next, going to the brink with Canada over trade.

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27:26Our special contributor, Christia Freeland, takes us through where we are and what's at stake for the two countries.

27:55finished work. It's designed to help you move from a chaotic starting point to a reviewable first version. So all the source materials, briefs, and scattered information that you have to grind through to turn into something useful can just become something useful. Put ChatGPT to work on your most ambitious ideas and projects. Get started at chatgpt.com by selecting work mode, available on plus and pro plans. Everyone's talking about how AI is transforming work, especially in sales. While the landscape shifts, one thing remains the same, the thrill of closing a deal. Whether it's a gong or a confetti machine, every team has its celebration rituals.

28:33Adio is designed for that moment. It's the agentic CRM that turns customer signals into actionable insights, helping you close deals faster with revenue agents and automations working around the clock. You'll have everything you need to scale your go-to market efforts. Elevate your wins with Adio. Start your free trial at adio.com slash iHeart. No data, no AI. It's just that simple. Until now, the data your AI depends on has been trapped behind ever-increasing cloud fees. Wasabi created hot cloud storage and is redefining cloud storage for the AI era, delivering simple, predictable cloud storage for AI, analytics, media, and more.

29:10Your data is free to move, fast to access, and ready when your AI needs it, giving your business a competitive advantage. When your data moves freely, innovation moves faster, giving you the freedom to build, train, and do more with your data. Hidden fees add up fast as AI workloads grow. Wasabi's flat pricing eliminates all of it. One rate, no surprises. With global scale, enterprise performance, and predictable pricing, Wasabi helps organizations focus on innovation instead of cloud bills. Companies that are paying more in fees than in actual storage costs can fall behind. Don't let it happen.

29:42When your AI needs your data and you have a budget to meet, get Wasabi. Learn more and try now for free at wasabi.com. Wasabi, the AI storage cloud, proud partner of the iHeart Podcast Network. You're listening to Bloomberg Wall Street Week with David Weston from Bloomberg Radio. This is a story about couples therapy. The U.S. and Canada have been neighbors, allies and generally friends since Canada first became a country independent of the British Empire. But President Trump has put the relationship in play, particularly when it comes to trade relations. Chrystia Freeland served as Canada's deputy prime minister, foreign minister and finance minister.

30:23She is now a special contributor to Wall Street Week. Having gone to the brink during this week in U.S.-Canada trade relations, we're told that there is a tentative agreement. What at this point do we know about that agreement?

30:37Sam Palmisano:What we know so far is it seems as if the U.S. and Canada have reached an agreement that will prevent the tariffs that the U.S. announced, the brand new ones, the Smoot-Hawley ones, from coming into force against Canada. Those tariffs were meant to be applied on the 19th of August. And on the basis of this almost concluded deal, they haven't come into force. What does it do to the tariffs that have been existing? For example, you and I have talked before about aluminum and steel. What happens to those separate tariffs? So we don't know the full outlines of this agreement. But what people are saying, both publicly and people close to the negotiations, is that what Canada is agreeing to, or is on the brink of agreeing to, is that U.S.

31:40Sam Palmisano:booze will go back on the shelves of Canadian liquor stores. Some Canadian provinces had also put in express either buy Canadian or don't buy American provisions into procurement, that those will be lifted as well. When the 232 tariffs against Canada, the ones on steel, aluminum, cars, when those first went into effect, Canada imposed retaliation. Most of that has already been dropped. And on the other side, the August 19 Smoot-Hawley tariffs seem likely not to go into effect. And then on the 232 tariffs, which are steel, aluminum, cars and car parts, it seems as if those will remain in place, but at lower levels.

32:39Sam Palmisano:And that's really a very critical element of this agreement, because up until now, Canada's position, and this has been Canada's historic position, is we have a free trade deal with the United States. Permanent tariffs outside that deal are unjustified and illegal, and we will not accept them. In this deal, Canada apparently will have lower tariffs on steel, aluminum, cars, and car parts, but tariffs will be in place, and Canada will accept the legitimacy of those tariffs. That's a real Rubicon that it looks like will be crossed. That feels like a pretty major give from Canada, understanding the tariffs will be lower, but conceding there will be tariffs despite a free trade agreement.

33:37I mean, you've negotiated on Canada's behalf in prior trade agreements. Is that something that can ever be pulled back for Canada or is that more or less a permanent give?

33:46Sam Palmisano:David, I think that is the smartest and most important question about this entire agreement. The future obviously is unknowable, but the idea that tariffs on these sectors would be accepted by Canada, that is a really big deal. Something that I think is really important to point out here is, you know, I think that is a bad outcome for Canada to have permanent tariffs on our steel, aluminum cars and car parts, really harmful for those sectors. But I think it's a bad outcome for the United States as well. It's really important for people to recognize that you can lose by winning if you've defined winning in a way which is self-mutilating.

34:42Sam Palmisano:I would say Brexit, the British decision to leave the EU, is a great historic example of losing by winning. And in this case, I think it's really important for Americans to understand that putting permanent tariffs on Canadian steel and on Canadian aluminum hurts U.S. manufacturing. These are inputs into the U.S. manufacturing sector, and you are choosing to make your own manufacturers weaker. The tariffs that were imposed in 2018, there have been a lot of academic studies on the impact, and the net impact was harming U.S. manufacturing. Aluminum tariffs, particularly self-harming, because aluminum is basically electricity in solid form.

35:29Sam Palmisano:So the U.S. is basically imposing a tax on electricity. David, you are from Michigan originally, and so you know that Canada and the United States build cars together. We've done it for a century, for more than a century. And imposing permanent tariffs on cars and car parts is really going to hurt Detroit. So, you know, I think Canadians are real patriots and Canadians want to support our prime minister in this really challenging time. But I think you're going to hear Canadian unions who represent workers in the car sector in steel and aluminum, quite concerned. You mentioned the auto industry, which is central, particularly in U.S.-Canadian trade relations.

36:20And as you know so well, there are auto parts that go back and forth between Windsor and Detroit all the time, several times in the making of a single vehicle. As far as we know with this tentative agreement, is the effect to just increase the price because there are some tariffs, or could it actually impede some of the flow back and forth?

36:38Sam Palmisano:Another great question, David, and you're right. You know, we really do build cars together and the parts in a finished car can go across the border seven or eight times before that car is completed. The tariffs on cars and car parts are currently in place and it looks as if this agreement will lower them. So it will be a better situation compared to what we have before the agreement. It will be worse, though, than the USMCA, where there were no tariffs. And I think the concern for anyone in the car sector will be, are we moving to a situation of permanent tariffs on cars and car parts. Something to watch in the details of the agreement is whether car parts that are made in NAFTA are excluded from the tariffs in the NAFTA zone, or whether only car parts made in the U.S.

37:50Sam Palmisano:are excluded from the tariffs. That's a really important distinction. When we were negotiating the USMCA, there was a moment when Bob Lighthizer wanted to include a provision that would require that a certain percentage of a car be manufactured in the U.S. Canada and I personally were really, really opposed to that because then you don't have a free trade deal. You have managed trade. And that's an entirely different principle. Ultimately, it's an entirely different way of running your economy. But what Bob was worried about was protecting workers' wages, which was something I did support. So what we agreed and what is in the current USMCA is something called the labor value content provision, which requires that a certain percentage of a car be made by workers earning above$16 an hour.

38:48Sam Palmisano:I thought that was a great compromise. Protects good paying jobs, but doesn't introduce that element of protectionism. It will be really important to look in the details of a final agreement between the U.S. and Canada to see if it's specifically U.S. made parts that are excluded from the tariffs or whether it is NAFTA compliant parts. You mentioned the USMCA, which you know well having negotiated it. As far as we can tell with this, as I say, tentative agreement, how does it fit with USMCA? Is it an amendment to it? Does it supersede it? Is it subservient to it? How does it fit? Seems like it's completely separate.

39:29Sam Palmisano:Seems like this is like so many of the deals that the Trump administration has been doing around the world. This is a one-off. It is about, you know, the U.S. creating a wound, creating a problem for its partner, and then entering into a negotiation with its partner to have the problem limited. So it's not connected with the USMCA and with the negotiations that have now been that have been triggered around the USMCA. And that is a challenge because there's going to be a big question about whether some of the key issues that have been agreed in this deal automatically carry over to the USMCA negotiation.

40:25You know so well from your Canadian background that the United States trade policy in recent years has, shall I say, bruised some feelings north of our border. Will this tentative agreement, if it goes forward, help deal with some of those bruises?

40:40Sam Palmisano:I don't think so. I think that, you know, Canadians are going to feel that we were being unfairly targeted. We were being unfairly treated. And now we're going to be subject to a little bit less abuse in exchange for not complaining about it. And each person, each worker, each business will judge whether that's a good outcome from the Canadian perspective. But I think the unanimous national view is going to be we're being treated pretty shoddily. Coming up, saving the southwestern U.S. from drying up. We look at the rationing plan developed by the U.S. government to save the Colorado River, which is responsible for supporting one point four trillion dollars of the U.S.

41:37economy.

42:06We'll see you next time. information that you have to grind through to turn into something useful can just become something useful. Put ChatGPT to work on your most ambitious ideas and projects. Get started at ChatGPT.com by selecting work mode available on plus and pro plans. Everyone's talking about how AI is transforming work, especially in sales. While the landscape shifts, one thing remains the same, the thrill of closing a deal. Whether it's a gong or a confetti machine, every team has its celebration rituals. Adio is designed for that moment. It's the agentic CRM that turns customer signals into actionable insights, helping you close deals faster with revenue agents and automations working around the clock.

42:48You'll have everything you need to scale your go-to market efforts. Elevate your wins with Adio. Start your free trial at adio.com slash iHeart. No data, no AI. It's just that simple. Until now, the data your AI depends OnZone has been trapped behind ever-increasing cloud fees. Wasabi created hot cloud storage and is redefining cloud storage for the AI era, delivering simple, predictable cloud storage for AI, analytics, media, and more. Your data is free to move, fast to access, and ready when your AI needs it, giving your business a competitive advantage. When your data moves freely, innovation moves faster, giving you the freedom to build, train, and do more with your data.

43:26Hidden fees add up fast as AI workloads grow. Wasabi's flat pricing eliminates all of it. One rate, no surprises. With global scale, enterprise performance, and predictable pricing, Wasabi helps organizations focus on innovation instead of cloud bills. Companies that are paying more in fees than in actual storage costs can fall behind. Don't let it happen. When your AI needs your data and you have a budget to meet, get Wasabi. Learn more and try now for free at Wasabi.com. Wasabi, the AI storage cloud. Proud partner of the iHeart Podcast Network. You're listening to Bloomberg Wall Street Week with David Weston from Bloomberg Radio.

44:04This is a story about triage. The American Southwest, as we know it, was built on cheap, reliable water from the Colorado River. But for decades, the river has been shrinking. And this year, the fight over what's still left has come to a head. It's forcing a showdown over who cuts, who pays, and what life in the West costs when water is no longer a given. Bloomberg's Michael McKee has the story. We know the situation on the river. It's the worst it's ever been. Without water, there's no Imperial Valley. We are indeed getting to be in a crisis situation. This has been a very difficult year. This is the Colorado River.

44:47At over 1 ,400 miles long, it provides water to seven states across the southwest. Starting in the Rocky Mountains, the river begins as snow, which melts and provides water to the upper basin, made up of Wyoming, Colorado, Utah, and New Mexico, and the lower basin, which includes California, Nevada, and Arizona. The water makes its way to kitchen sinks and front lawns, but also crops and businesses and reservoirs, which generate power for the cities in the western U.S. The Lake Powell is very close to what they call the power pool. And that means that once the reservoir is below that level, it can't push the water through the turbines to create power.

45:29That's going to affect power supply. Jennifer Gimbel is a water policy scholar and former Bureau of Reclamation official. She says the river's legal framework was built in layers, beginning with a compact in 1922. But a lot has changed since then. We have no safety net now. When all those other agreements were signed, there was still a decent amount of waters in the reservoir. But no longer. This winter, the Rocky Mountains saw the lowest snowpack ever recorded, and less snow means less water downstream. Dan McAvoy is a climatologist at the Western Regional Climate Center, where he has been tracking snowpack levels across the West.

46:08Why is snowpack so important? Yeah, it's critical to pretty much all of the western United States in terms of water supply, of course. So for many regions around the west, anywhere from 50 to more than 70 percent of the surface water that's used for public consumption, agriculture, irrigation, all the surface water supply, most of that comes from the snowpack that accumulates in the winter season and then historically has slowly melted through the spring and summer. But that is changing, and we saw a big shift in how that occurred this year. This is a widespread event where we've seen some of the lowest snowpack on record going back 50 to 75 years or even longer.

46:53And so that's something that kind of developed throughout the course of the year. Then we had this really unusual March heat wave, and that triggered this really abrupt and really early snowmelt, leading to this really catastrophic situation in terms of snowpack as a whole across the western U.S. and conditions are probably the worst in the Colorado River Basin right now. That lack of snowpack is now showing up in the system's balance sheet. Lake Mead, which hit its lowest level since it was filled 90 years ago, and Lake Powell are the two biggest reservoirs in the country. Both of their water levels have been declining for decades.

47:28This year, some of the rules governing the river are expiring. And with the seven states unable to reach a long-term agreement, the federal government is stepping in to divide the waters. So now we're down to the nitty-gritty. Who gets it and who doesn't? And you have governor's representatives, and they're concerned about their constituents, they're concerned about the economy, they're concerned about food security, but there's only so much in the river. And as they just couldn't come to an agreement. In the lower basin, the reclamation is called the water master. They control the contracts. In the upper basin, we don't have a large federal reservoir, so we don't have a way to call for that water and have it delivered.

48:20It's just a natural process. So each state is in control of its natural resources. The Bureau of Reclamation recently released plan covers the next two years, suggesting a one and a half million acre foot water usage cut annually for the lower basin, with Arizona getting hit the hardest. We think there are fundamental flaws with the final environmental impact statement, the FEIS. We believe it's not following the law. It has significant problems. What the United States has put on the table simply isn't workable for Arizona. As the general manager for the Central Arizona Project, Brenda Berman oversees allocation of the Colorado River water to nearly 80 percent of the state's population.

49:03The lower basin states, so Arizona, California, Nevada, what we've done is we've put forward a plan. And we did that before that document came out. And that plan is to create two years of stability on the river. These reductions that we're talking about, 760 ,000 acre-feet for Arizona, is something that our communities have been preparing for. It's not something we think we can do every year, but it's something that we are prepared for in 27 and 28. You can't balance the entire smaller river on the shoulders of either CAP's customers or in Arizona, California, and Nevada. This is something that has to be shared by all seven states who share the river.

49:44How do you negotiate something like this? everybody is in a corner because there just isn't enough river water. Farmers in California are probably feeling like, well, we got it better because we're what they call senior rights to Arizona. But California is still going to have to take some cuts also. Looking at the upper basin, we've been taking cuts every year during this drop. That old legal order is not abstract. The Colorado River supports$1.4 trillion of economic activity every year and jobs for 16 million Americans. I sell this crop by the ton, by the pound. One of those Americans is Andrew Leimgruber, whose farm in California's Imperial Valley has been run by his family for generations.

50:32We are the big target on the river because we are such a large user of water, but we're also the highest in priority. The way it works in the West, the first person to use the water beneficially, first in line. We have a system of laws in place that would have dealt with this crisis before it got to this point. Unfortunately, you know, Arizona has only been pulling water off the Colorado River since the late 1980s. The CAP was only approved by Congress with Arizona agreeing that in times of shortage, they would be the first to be reduced and cut off. For the last two decades, Arizona's been taking their full entitlement even though they didn't have the need for that water.

51:10We have strong standing water rights that have gone all the way to the Supreme Court. They've been adjudicated. They've been passed and processed. We have the law to stand on. If they can come in and take that away, that means there's no such thing as a property right in the United States. The impact reaches far beyond the Southwest. In the winter, much of the food that feeds American families across the country comes from desert farming regions like the Imperial Valley. Most of the population thinks that the food that they buy at the grocery store shows up in the back. They don't know that it comes from a source, that it's produced.

51:45A lot of hands and labor and blood, sweat and tears goes into producing all the bounty that we share in. Are you able to use less water? There are areas where there is efficiency that can be gained. It just costs money. utilizing systems like drip, overhead sprinkler systems, automated flood systems, tailwater return systems, all these different uses of technology, but they're very expensive and costly. Unfortunately, the least expensive way to get water off of farms has been fallowing. And fallowing, around here we call it the F word. It's extremely detrimental to our communities. Fallowing puts people out of work.

52:25This was not a cheap installation, I would imagine. No, this half-mile system that irrigates 180 acres was a half-million-dollar capital expenditure. To be sustainable, we also have to be economical and profitable as a business. The benefit, though, is with this system, I can produce more crop. If the Imperial Valley shows the cost of cutting use, San Diego shows the cost of cutting new supply. With an abundance of water at its disposal from desalinization, the county's water authority plans to help ease pressure on Arizona and Nevada for a price. How does this agreement with the other states work?

53:03First, we have to get all of the lawyers in the room and we have to get them to agree. We're looking to do things that have never been done before. As the general manager of San Diego County's water authority, Dan Denham is overseeing the effort of turning water into a financial exchange. So you'll send water to these states in exchange for them using less water from the Colorado? We're going to exchange money for water. And that's the basic construct behind it. It's the construct behind what we've done with the farming community in the Imperial Valley. It's allowed the Imperial Valley to make investments on farm efficiency projects while maintaining their high-priority rights to water.

53:45we we received the water that as I as I suggested would have otherwise been cut by 50 percent. So similarly Arizona Nevada get water and for the water authority we get inventory off of our books. Inventory off the books in the form of water means more flattening of rates out into the future. We can we can dampen the rate increases that have been really really tough for us over the past three years. Does it mean that those states will not have to cut back as much? Yes. Desalinization can create a new supply, but it can't put water back in the Colorado River. It shows what scarcity pricing looks like when the cheap supply is no longer enough.

54:31This water at the desal plant, the most expensive, costs$3 ,500 a unit. Some of the other sources that we have are$50 a unit. Some are$800 a unit, some are$600 a unit. Altogether, it's$1 ,400 a unit. And that's what makes this more affordable if it's just the only option you have. Desalination is expensive, but quite honestly, we have not paid what our water is worth to us. And so we need to make that adjustment in our minds. The next chapter of the Colorado River economy will be built around pricing scarcity, not abundance. It's clear that the basin region needs more than a temporary fix. States and the federal government need to work together to build a new operating system.

55:22It all comes down to dollars and cents in economics. Hydrology is not going to wait for us. If there is a bad year next year on the river, the system will crash. We have a responsibility to our national economy. We have put massive amounts of water out there. It is time for everyone who benefits this river to step up.

55:47Next, Sam Palmisano on the need for AI regulation at the right time. You're listening to Bloomberg Wall Street Week with David Weston from Bloomberg Radio. Some people treat ChatGPT like some kind of smart search engine, and some use it to get work done. ChatGPT Work is a new way of working in ChatGPT that can take action across your apps and files, stay with a project for hours if needed, and turn a goal into finished work. It's designed to help you move from a chaotic starting point to a reviewable first version. So all the source materials, briefs, and scattered information that you have to grind through to turn into something useful can just become something useful.

56:31Put ChatGPT to work on your most ambitious ideas and projects. Get started at ChatGPT.com by selecting Work Mode, available on Plus and Pro plans. Everyone's talking about how AI is transforming work, especially in sales. While the landscape shifts, one thing remains the same, the thrill of closing a deal. Whether it's a gong or a confetti machine, every team has its celebration rituals. Adio is designed for that moment. It's the agentic CRM that turns customer signals into actionable insights, helping you close deals faster. With revenue agents and automations working around the clock, you'll have everything you need to scale your go-to market efforts.

57:08Elevate your wins with Adio. Start your free trial at adio.com slash iHeart. No data, no AI. It's just that simple. Until now, the data your AI depends on has been trapped behind ever-increasing cloud fees. Wasabi created hot cloud storage and is redefining cloud storage for the AI era, delivering simple, predictable cloud storage for AI, analytics, media, and more. Your data is free to move, fast to access, and ready when your AI needs it, giving your business a competitive advantage. When your data moves freely, innovation moves faster, giving you the freedom to build, train, and do more with your data.

57:43Hidden fees add up fast as AI workloads grow. Wasabi's flat pricing eliminates all of it. One rate, no surprises. With global scale, enterprise performance, and predictable pricing, Wasabi helps organizations focus on innovation instead of cloud bills. Companies that are paying more in fees than in actual storage costs can fall behind. Don't let it happen. When your AI needs your data and you have a budget to meet, get Wasabi. Learn more and try now for free at wasabi.com. Wasabi, the AI storage cloud. Proud partner of the iHeart Podcast Network.

58:17Artificial intelligence is on its way to transforming the economy. But it isn't the first time in history when a new technology from railroads to electricity to telecom has changed the way we live and the way we do business. Sam Palmisano ran IBM during the digital revolution, and he's seen when government regulation works and when it doesn't. Well, my point of view is that fundamentally, the government, if it needs to facilitate the opportunities of the new technology, not try to control the opportunities of the new technology within guardrails, I would argue that fundamentally what worked really, really well, go back to the internet, was the private sector given encouragement by the government, but also establishing standards that you take for granted today, like connectivity, data sharing, data structure, all those things that are kind of gorpi i know they aren't exactly for your consumer audience but that's where government comes into play they establish those standards right they had parties that uh they let the private sector invest and where it was especially important i say darpa but like national security and defense yes there'd be more involvement but for the commercial world and we were in all of it right they would let that market mature and that you saw that happen in the internet uh and And it was incredibly successful.

59:36And then there were a lot of debates along the way, as you know, opt in, opt out, all those sorts of things occurred, but fundamentally, they let innovation go. Now, people argue today, well, it went too far because of the social media guys, got a huge dominature in certain things called advertising, what have you. But fundamentally, antitrust as it exists today does not address that concern, because remember, it was free. This is the flawed and the logic of the antitrust cases, It's because you're not damaging the consumer. The European models are different, as you might recall. But for the U.S.

1:00:09model, it's free, so there's no consumer damage. As we talk about standards or regulation for AI, and again, put aside national security, special case, what we are hearing from a good part of the private sector is, don't do anything because it'll stifle innovation. You'll slow us down, and we're in a race. How do you assess that if you're the government? At what point does it stifle innovation? At what point is it necessary? Well, that's the industry. That's not the user. People forget who it is. I mean, the people in all the meetings are the guys who don't want to be regulated themselves. It's not the people who are like a bank or health care or energy.

1:00:48It's not the other industries of our economy, which are much bigger than the tech industry, as we all know, right? But fundamentally, so that's the case that they make. I would argue that if the regulation, I take cyber security where I was on the commission for President Obama, you might recall. I mean, our point of view, when they say we're going to slow down innovation, I said, no, you only slow down innovation when you didn't design for it to be secure. If you designed up front for it to be secure, you don't slow it down. So why don't you accept the fact that you can design for a more secure internet, which we still don't have today, and then therefore you're not slowing down innovation because everybody's competing for those standards.

1:01:29You need guardrails. I say guardrails. I don't know that you need heavy regulation, but you need the appropriate, their associations, their standards, bodies, all these things already exist. You need their influence, I think, over how to do this properly and securely. It'll still be a huge market. This is the thing. It'll be a huge market. It's not going to all of a sudden, maybe it goes from 5 trillion to 4.2 trillion, whatever. It's not going to be a tremendous opportunity, but I think people should step back and have a perspective that what they should do is, in the long term, what's right for their customers, what's right for the society, and then you could argue it's right for the shareholder.

1:02:08Do we have the expertise that we need in the government to make these judgments? I mean, going back to the railroads, we had the Interstate Commerce Commission. Correct. In broadcasting, you had the FCC. Yes. You had people who really knew this stuff. Do we have people within our government who have that expertise? My observation at this point, at least in this field that we're talking about, I think the government is way behind the private sector. Not true in the past. There really were smart people when I was working in government. We might not agree, but that's a whole different point of view versus they weren't really smart.

1:02:45And I say that you have to bifurcate government because if you get into where I spent a lot of time like national intelligence and defense they got some really smart people but you get the commercial side of government um i would not say they were honor roll students when they got out of school so if you had your way you could decide anything would you create a new agency specifically on the ai subject no what i would do at first i i there's too much bureaucracy already and just adding more bureaucracy and would you know then they'll fight about who has control who gets the money and that's saw that in cyber so we've lived that one recently i i think what you would really do i i would if possible i'd get some volunteers i think they call them something like subject governmental subject experts or something like that you know get some volunteers really smart people uh who've been around this thing who have industry knowledge you know technology who could come back with a strategy for the united states of america and obviously There'll be debate, there'll be adoption.

1:03:45I got all that, right? But some very thoughtful group of people that are respected that can do that. I'd make the same recommendation for some of the agencies that exist within our government that need to have a different point of view than they have today. That would be, I believe, the most beneficial way to start. Then you can decide where it resides. If I go back to cyber as my analogy, I mean, everybody wanted to be participants in that because they saw money coming whether it was OMB or it was people not I mean NSA CIA DOD had the expertise but they didn't have any interest everybody else in the I'll call it the commercial side of government right always going after the money they saw the modest money coming and and I asked used to ask them this question I said can you show me the people you would use to staff the projects is this the resume I can read a resume I know technology can you show me that and the response was you know we don't have those people and I my response was so I'm gonna recommend to the president of the United States where you don't have any expertise in talent they they fund you you know yeah I said no you know that's a true story by the way in the executive offices across the street from the White House as we sit here today how concerned are you about safety with AI there are a lot of reports know about breaking out of sandboxes and AI sort of going off on its own and doing things it's been told not to do.

1:05:12Is that a big concern for you? If it's not addressed, yes, because it's only going to compound and get worse, right? Remember, as we say that, I mean, maybe it's accidental today when the agents get out of control or those sorts of things and they're causing these issues as far as security and the concerns that we have today. But the point of it is that it's moving so fast and the technology is so fast, if something's not done to address it, it could be out of control in like minutes, seconds, and those sorts of things. So I think it needs to be addressed, and it can be addressed. It's back to this, how you put these guardrails in place, you know, the rigor of the testing before you deploy, and it's all sorts of things that can be put in place.

1:05:56Now, of course, guess what? It takes time and it costs money, you know, right? But the companies that are, right now at least, one of them has earnings and the valuation is off the charts, right? All the others have evaluations that are off the charts without money. So there's a lot of money out there, I would argue, if they would be encouraged to deploy it in a way that's sustainable for the long term. I mean, these debates that they have, to me, with certain agencies and government where you're putting the country at risk are nonsense. Only people that that would make that argument are immature and young.

1:06:32My generation would never have made that argument that you should put society at risk. But IBM was doing all that stuff. I mean, it would be totally irresponsible. We wouldn't even think about it or dream it. Now it's, you know, right? No, no, you guys don't get it. Let it rock and roll. I just think that in today's environment, the technology is such, I mean, it's only gonna get faster. It's gonna be light speed. Who can control? Human beings can't control light speed. And that's where it's gonna go. That's where it's headed. And so therefore, at that level of speed, you're going to have to have those controls built into the systems to self-police them.

1:07:10That does it for us here at Wall Street Week. I'm David Weston. See you next week for more stories of capitalism.

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From the publisher

This week, Former IBM CEO Sam Palmisano discusses why companies may benefit from having a “Plan B” for AI implementation. And, AI may not be causing mass layoffs yet, but early data suggest it is already slowing wage growth in exposed occupations.Plus, Canada may have dodged Trump’s newest tariffs, but the deal could leave lasting damage to USMCA, North American manufacturing and trust between two longtime allies. Later, who pays when the Colorado River can no longer meet the West’s demand?

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