Tag: artificial intelligence
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Bursting The AI Bubble Just Might Be Better For (Almost) Everyone

It has become common in recent months for people in the business press to note both that AI stocks seem to be in a bubble and that this bubble is driving the economy. In many ways this situation looks similar to the late 1990s tech bubble.

At that time, price-to-earnings ratios in the stock market were roughly the same as they are today. The soaring market then was also driving the economy, as people were consuming based on their new bubble-generated wealth. Also, the insane valuations of many new Internet companies was leading to an investment boom in the tech sector.

When the bubble finally burst, we got the 2001 recession. While this downturn was mild from a GDP perspective, the story was much worse if we focus on the labor market. We did not get back the jobs lost in the recession for four full years. At the time, it was the longest period without job growth since the Great Depression.

Anyhow, the immediate impact of the collapse of the AI bubble will undoubtedly be negative, but there are reasons to still think it would be good for the economy and for most workers. This is best demonstrated by a recent analysis from Moody’s which shows that all the real spending growth over the last year has come from the top quintile of the income distribution. Everyone else has been just treading water.

This fits with other data that show weakening nominal wage growth, with the wage increases for workers in the lowest paying jobs not even keeping pace with inflation. It’s not surprising that consumption for these workers would be stagnating or falling.

To see how this relates to the AI bubble, we can think of the economy as being like a huge bathtub with an open drain. We have two faucets that put water into the tub. The goal is to keep the tub filled but not overfilled. This would correspond to the labor market being at full employment and the economy operating at its capacity.

If the water flows into the tub too slowly, we have unemployment and excess capacity. We are wasting economic potential and workers are being denied the opportunity to work. If the water flows into the tub too quickly, the bathtub overflows and we get water all over the floor. This would be the inflation story.

The two faucets are labeled “rich people” and “ordinary workers.” At the moment, the rich people faucet is wide open, and the water is gushing out. This is the money generated by the AI bubble. There is just a trickle coming out of the ordinary workers faucet.

When the AI bubble bursts, the water coming out of the rich people faucet will also slow to a trickle. This means water will be draining out faster than it is flowing in, and the water level in the tub will drop. This would mean a recession, and an increase in unemployment.

That is bad news for everyone, but the lower water level in the tub means that we have the option to turn the flow from the ordinary workers faucet higher, without causing the tub to overflow. And we do know how to turn the flow higher.

The easiest route is for increasing the flow is to simply have the Federal Reserve Board lower interest rates. That will somewhat boost demand by allowing more people to buy homes and to a lesser extent cars and other big-ticket items. People will also refinance mortgages at lower rates, freeing up money to spend on other things. Lower rates will also provide a modest boost to investment.

The other route for increasing the flow from the ordinary workers faucet is to have the government increase spending. It can boost spending in areas like healthcare, education, and childcare. This would both provide real benefits to people and also stimulate the economy. It can also reestablish and enhance the subsidies for a green transition that Trump killed earlier this year. This will both create jobs and have near-term and long-term environmental benefits.

There is of course no guarantee that Congress will boost spending enough to again fill the bathtub, possibly leaving us with high unemployment for a long period of time. That was the story after both the collapse of the tech bubble in 2000-01 and the collapse of the housing bubble 2007-09.

But this is a political obstacle, not an economic one. The collapse of the AI bubble will create the room the economy needs for policies that would make the lives of tens of millions of people far better. This is why we should all be fans of the collapse and not worry that we are cheering against the home team. For the vast majority in this country, the stock market is not the home team.

Reprinted with permission from Dean Baker.

'Robotic' Melania Hustles Artificial Intelligence Like It's Her New Job

'Robotic' Melania Hustles Artificial Intelligence Like It's Her New Job

Melania Trump broke her self-imposed White House exile to continue pushing her AI fever dream on behalf of her husband’s administration.

While attending a White House Task Force on Artificial Intelligence meeting Thursday alongside Cabinet members like Education Secretary Linda McMahon—the one who spearheads federal school policy and referred to AI as “A1,” like the steak sauce—the first lady talked up the future of the new technology in an eerie speech.

“Cars now steer themselves through our cities, robots hold steady hands in the operating room, and drones are redefining the future of war,” Trump said. “Inventions of first-generation humanoids, factory automation, and autonomous vehicles have surged from private sector investment. Every one of these advancements is powered by AI.”

- YouTube youtu.be

“The robots are here—our future is no longer science fiction,” she intoned robotically.

And while the first lady seems to be the chief public cheerleader for the Trump administration’s AI initiative, the former model doesn’t quite have the technological background suited for the gig.

But if you ask Energy Secretary Chris Wright, he would say otherwise. In a separate appearance Thursday, Wright told Fox News that Melania is “wiser than all of us” as the Trump team works to push AI forward.

“God bless the first lady,” he exclaimed. Wright, of course, has teamed up with EPA administrator Lee Zeldin and Interior Secretary Doug Burgum to ramp up the production of coal, oil, and uranium in order to feed the bottomless energy pit that is the AI industry’s stomach.As for Melania, her role has seemingly been to promote AI among youth and educators. As Daily Kos previously reported, she announced her “AI challenge” on August 26 for grade school children and educators in an attempt to promote the creation of AI products.

“As someone who created an AI-powered audiobook and championed online safety through the TAKE IT DOWN Act, I’ve seen firsthand the promise of this powerful technology. Now I pass the torch of innovation to you,” Melania said in a social media announcement.

But looming over all the glitz and hype of the Trump administration’s AI enabling are myriad lawsuits and fears of “AI psychosis.”

OpenAI is facing litigation after its generative software reportedly led to a young adult’s suicide, but the White House’s messaging around the technology remains clear: The U.S. needs to become the AI capital of the world—no matter the social, fiscal, or environmental cost.

Reprinted with permission from Daily Kos

AI Is Power-Hungry

The Limits Of AI: That Expensive And Power-Hungry Tech 'Miracle'

This is a post about AI, whose proponents are downright messianic in describing it as the technology of the future. Maybe. But much of their advocacy seems to ignore some mundane limits to AI’s growth — limits I’ll try to illustrate by talking about a technology of the past.

I was probably 9 or 10 when my father took me to a Horn & Hardart automat. For those too young to remember — who I hope are a large fraction of my readers — these were establishments in which a variety of sandwiches and other foods were displayed behind glass doors. You would serve yourself by putting coins into a slot, which would unlock the door and let you extract your egg salad sandwich or whatever.

At the time (and at my age) it seemed wonderfully futuristic: Food service without people! In reality, of course, automats weren’t automated; each required a substantial staff to operate the kitchen and keep refilling those glass-doored compartments. And because automats weren’t all they pretended to be, they were eventually driven out of business by the rise of fast food.

Many applications of information technology are, like the automats of yore, less miraculous than they seem. True, the user experience makes you feel as if you’ve transcended the material world. You click a button on Amazon’s web site and a day or two later the item you wanted magically appears on your porch. But behind that hands-free experience lie a million-strong workforce and a huge physical footprint of distribution centers and delivery vehicles.

And the disconnect between the trans-material feel of the consumer experience and the physical realities that deliver that experience is especially severe for the hot technology of the moment, AI. We’re constantly arguing about whether AI is a bubble, whether it can really live up to the hype. We don’t talk enough about AI’s massive use of physical resources, especially but not only electricity.

And we certainly don’t talk enough about (a) how U.S. electricity pricing effectively subsidizes AI and (b) the extent to which limitations on generating capacity may nonetheless severely limit the technology’s growth.

How much generating capacity are we talking about? The Department of Energy estimates that data centers already consumed 4.4 percent of U.S. electricity in 2023, and expects that to grow to as much as 12 percent by 2028:

AI isn’t the only source of rising electricity demand from data centers. There are other drivers including, alas, crypto — which still has no legitimate use case, but now has powerful political backing. But Goldman Sachs believes that AI will account for a large fraction of rising data center demand:

With Sam Altman of OpenAI promising to spend “trillions” on data centers in the near future — and sneering at economists who, he imagines, are wringing their hands — I wouldn’t be surprised to see demand come in at the high end of the Department of Energy’s projections. True, the AI bubble might burst before that happens, with potentially ugly consequences for the wider economy. But that’s a subject for another post.

So suppose that AI really does consume vast quantities of electricity over the next few years. Where are all those kilowatt-hours supposed to come from?

America is, of course, adding generating capacity as you read this, and can accelerate that expansion if it chooses to. But there are two big obstacles to any attempt to keep up with the demand from AI.

The first is that in recent years growth in U.S. generating capacity has become increasingly dependent on growth in renewable energy. According to S&P Global, almost 90 percent of the generating capacity added in the first 8 months of 2024 came from solar and wind:

Why is this a problem? Because Donald Trump and his minions have a deep, irrational hatred for renewable energy. Not only have they eliminated many of the green energy subsidies introduced by the Biden administration, they have been actively trying to block solar and wind projects.

So even as Trump promises to make America dominant in AI, he’s undermining a different cutting-edge technology — renewable energy — that is crucial to AI’s growth.

Suppose that electric utilities manage somehow to get around Trump’s anti-technology roadblocks and build the extra generating capacity. Who will pay for all that spending? The answer, given the way we regulate these utilities — and as natural monopolies, they must be regulated — is that the cost of adding capacity to power data centers is passed on to ordinary customers who have nothing to do with AI. This is already happening: Over the past 6 months retail electricity prices have risen at a 9 percent annual rate, four times as fast as overall consumer prices.

Last week the watchdog for PJM Interconnection LLC, the nation’s largest grid, declared that this must stop, that it “recommends that large data centers be required to bring their own generation.”

Indeed, requiring that the AI industry take responsibility for the costs it imposes makes a lot of sense. It would by no means end progress in AI. As the website Tech Policy notes, there are many AI applications in which smaller, more focused models can perform almost as well as the bloated, all-in-one models currently dominating the field, while consuming far less energy. Until now there has been no incentive to take energy consumption into account, but there’s every reason to believe that we could achieve huge efficiency gains at very low cost.

But will we do the sensible thing? It’s obvious that any attempt to make AI more energy-efficient would lead to howls from tech bros who believe that they embody humanity’s future — and these bros have bought themselves a lot of political power.

So I don’t know how this will play out. I do know that your future electricity bills depend on the answer.

Reprinted with permission from Substack.

As Growth Slows, That AI Bubble Just May Burst Into Recession

As Growth Slows, That AI Bubble Just May Burst Into Recession

Gross Domestic Product grew at a 1.2 percent annual rate in the first half of the year, that is down sharply from its 2.5 percent rate in 2024. It is not hard to identify the culprits: uncertainty created by Trump’s tariff threats, the loss of workers due to mass deportation, and government cutbacks in a wide range of areas. This mix is likely to keep us on a path of weak growth through the rest of the year and into 2026, unless the stock market crashes, in which case we could fall into a full-fledged recession.

The weaker GDP growth is matched by weaker job growth. The average of 38,000 a month since April was low enough to get the BLS commissioner fired. That figure likely understates the underlying trend, but probably not by much. The pace of job growth going forward will probably be in the range of 50,000 to 70,000 a month, down from an average of 170,000 jobs a month in 2024.

To a large extent, this slower job growth is by design. The Trump administration’s immigration policy has further reduced the flow of immigrant workers into the labor force (Biden had already sharply reduced immigration in June of 2024) and likely caused many immigrants previously in the workforce to either leave the country or quit their jobs. With the baby boom cohorts retiring in large numbers, the number of native-born workers in the labor force is growing very slowly.

Slower job growth means slower growth in total wages, which in turn means weaker consumption growth. If the labor grows at a rate of 0.4 percent annually (roughly 60,000 a month), that would mean that total wage income is growing 0.4 percent, before adding in real wage growth.

It appears that nominal wage growth is slowing, at least modestly. The annual rate of wage growth during the last three months (May, June, July) compared with the prior three months (February, March, April) is 3.7 percent. Wage growth had been running at 4.0 percent rate in 2023 and 2024.

It slowed even more in the leisure and hospitality sector, which is most sensitive to the strength of the labor market. The average hourly wage for non-supervisory workers in this sector rose at just a 2.5 percent annual rate, comparing the last three months with the prior three months.

There is other evidence of a weakening labor market, notably low hire and quit rates. Also, the unemployment rate for Black and young workers has risen sharply in recent months. These groups typically feel the effects of a slowdown first.

This could mean that we will see further slowing in the pace of nominal wage growth. With inflation rising due to tariffs, real wage growth could slow to a trickle. In that case, consumption growth may be even slower in the second half of 2025 and 2026 than the 1.0 percent rate for the first half of this year.

There is not much to offset the prospect of weak consumption growth. Investment grew at a 6.1 percent annual rate in first half of the year, but it looks likely to slow in the second half. Structure investment is sharply negative, as the boom in factory construction is trailing off and investment in hotels is also slowing sharply. Equipment investment may still grow, but not especially rapidly. Investment in intellectual products is growing but this is due to strong AI driven software investment outweighing weakness in pharmaceuticals and cultural products.

Residential construction fell in both of the last two quarters. It may stabilize, but it is unlikely there will be any major turnarounds absent some big change in policy.

The government sector shrank slightly in the first half of the year, driven by cutbacks in federal spending. State and local spending is likely to weaken in the second half of 2025, as less federal money forces cutbacks. Trade will at best be a small positive factor. Fewer goods imports will mean a modest boost to domestic production, but we are also likely to see a decline in goods exports, as well as exports of services, like foreign tourism in the United States.

The overall picture is one where the economy is barely growing. Unemployment may stay low in spite of weak job growth, due to slow growth in the size of the labor force. However, workers will not feel confident in their labor market prospects and therefore unable to push for healthy wage gains to offset Trump’s tariff hikes. That is not a recession story, but one where we may not be very far from one.

What If the Stock Bubble Bursts?

That’s the positive story for 2025 and 2026, but suppose the AI driven stock bubble bursts? As many commentators have pointed out, the stock market today is starting to look a lot like it did in the late 1990s bubble, which peaked in March of 2000. It eventually plummeted with the S&P losing close to half its value by the summer of 2002.

It’s worth noting that it was not just the tech stocks that plummeted in the 2000-2002 crash. Even the stock of long-established companies like McDonalds and GM lost close to half of their value.

I am not going to try to guess the timing of a crash. I was closely following the stock bubble in the late 1990s, as well as the housing bubble in the 00s. Both bubbles lasted far longer than I would have thought possible. Big money types are able to pursue illusions for a long time, and in the case of the housing bubble, commit outright fraud in the form of mass securitization of loans they knew to be bad.

Perhaps the event will be the recognition that China seems to be well ahead of us in developing AI in important ways. It is also worth noting that the leading Chinese companies seem to have systems that use an order of magnitude less electricity in a country where it is half the cost and far more plentiful. With recent actions by the Trump administration to nix clean energy, the availability of ample low-cost electricity is likely to give Chinese AI developers a major advantage.

Anyhow, who knows what could tick off a collapse of the AI driven bubble. Even a quarter century after the fact, it would be hard to identify an event in March of 2000 that suddenly warranted an end to the Internet bubble. It is easy to speculate on the consequences. Needless to say, the boom in investment in AI would end quickly, as would the rush to build power plants to serve the electricity needs of AI.

While the size of a decline is also hard to predict, even a drop of just 15 percent would eliminate $10 trillion in stock wealth. That would be a big hit to consumption, knocking down annual consumption by as much as $300-$400 billion, which would be virtually certain to throw us into a recession. And considerably larger declines are not out of the question.

It is difficult to know all the knock-on effects of a collapse of an AI bubble. Perhaps crypto will take a huge hit as well. Maybe we will find some major financial institutions were doing very foolish things, as turned out to be the case with the Silicon Valley Bank in the spring of 2023. In any case, a recession is a far safer call if the AI bubble collapses. For now, look for a future of weak economic growth and very weak real wage and consumption growth.

Dean Baker is an economist, author, and co-founder of the Center for Economic Policy and Research. His writing has appeared in many major publications, including The Atlantic, The Washington Post, and The Financial Times.

Reprinted with permission from Substack.

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