The AI bubble is heading towards a burst but it won't be the end of AI Economists, bankers and even the boss of OpenAI are warning of a rapidly inflating AI bubble. If and when it bursts, what will happen to the technological breakthroughs of the past few years? The hundreds of billions of dollars being spent on AI seem to have inflated a global financial bubble that's now fit to burst, leaving companies and investors at risk of holding vast debt that cannot be serviced by the meagre revenue brought in by current AI services. But what does that mean for the future of the technology underpinning this financial feeding frenzy? In recent weeks, warnings of a potential AI bubble have come from the International Monetary Fund, the Bank of England, the head of the largest US bank, and even OpenAI boss Sam Altman .

What is the Insurrection Act? Is Trump trying to dial back tensions with Brazil? Why was Letitia James indicted? Will a government shutdown hurt the economy? The United States's artificial intelligence (AI) investment boom might be an economic bubble that could burst, comparable to the dot-com bust in the early 2000s, according to the International Monetary Fund.

As some financial leaders fret publicly about the stock market falling to earth, Andrew Ross Sorkin's new book recounts the greatest crash of them all. As stocks plummeted on the morning of October 24th, 1929, a large crowd gathered on Wall Street outside of the New York Stock Exchange. Pat Bologna, a local shoeshiner whose life savings were invested in the market, dodged into a packed brokerage nearby. "Everybody is shouting," he later recalled. "They're all trying to reach the glass booth where the clerks are. Everybody wants to sell out. The boy at the quotation board is running scared. He can't keep up with the speed of the way stocks are dropping. The guy who runs it is Irish. I can't hear what he's saying. But a guy near me shouts, 'the sonofabitch has sold me out!' " The stock-market crash of 1929 occupies a dark but indelible place in the national imagination, and for good reason.

AI investments are pulling the US economy forward. Despite United States President Donald Trump's tariff and immigration policies roiling businesses, the US economy is relatively stable. Experts say the country can thank the artificial intelligence (AI) industry for that. "AI machines--in quite a literal sense--appear to be saving the US economy right now," George Saravelos of Deutsche Bank wrote to his clients at the end of September. "In the absence of tech-related spending, the US would be close to, or in, recession this year." AI companies are investing hundreds of billions of dollars into AI infrastructure and development, and other US companies are spending billions on AI products.

When Jensen Huang, the chief executive of the chipmaker Nvidia, met with Donald Trump in the White House last week, he had reason to be cheerful. Most of Nvidia's chips, which are widely used to train generative artificial-intelligence models, are manufactured in Asia. Earlier this year, it pledged to increase production in the United States, and on Wednesday Trump announced that chip companies that promise to build products in the United States would be exempt from some hefty new tariffs on semiconductors that his Administration is preparing to impose. The next day, Nvidia's stock hit a new all-time high, and its market capitalization reached 4.4 trillion, making it the world's most valuable company, ahead of Microsoft, which is also heavily involved in A.I. Welcome to the A.I. boom, or should I say the A.I. bubble? It has been more than a quarter of a century since the bursting of the great dot-com bubble, during which hundreds of unprofitable internet startups issued stock on the Nasdaq, and the share prices of many tech companies rose into the stratosphere.

The relationship between conditional expected returns, conditional risk, and asset characteristics has been a central topic in financial economics for decades. Yet, inference in this domain remains constrained by the unbalanced and high-dimensional nature of real-world data. In this paper, we address these challenges by introducing a nonparametric, kernelbased framework for the joint estimation of conditional mean and covariance matrices, providing a powerful and tractable solution to the econometric inference problem highlighted by Cochrane (2011). Our framework is specifically designed to deliver positive semidefinite covariance matrices across any state and for cross sections of varying sizes, filling a significant gap in the literature.

OpenAI, the company behind ChatGPT, has become the fastest-growing consumer application in history. With more than 30 executives, engineers, and researchers leaving the company to start their own companies, OpenAI has raised over US$1 billion in financing and created the "OpenAI Mafia", a powerful network of talent, social connections, and capital opportunities. This new generation of AI companies is driving a new round of technological frenzy and investment opportunities, and OpenAI is dedicated to helping humans realize their beautiful vision with an elite team. The OpenAI Mafia is the new generation of AI companies founded by OpenAI employees in the past five years, and is set to revolutionize the AI industry and shape the future of AI technology. Anthropic is an AI company founded in 2021 by Dario and Daniela Amodei, former vice presidents of OpenAI.

At that point, technological revolution was still in its deployment phase. In 1908 Henry Ford had introduced the idea of Fordism and the production line. It was a brand new concept. Sales of the Ford car accelerated pretty quickly, pretty exponentially for the time. There's the readjustment phase: Wall Street crashed in 1929, followed by the depression and then World War II.

If you've played Texas Hold'em, then you know how tough it is to be a good poker player. Lots of venture capitalists like to play poker, so it wasn't surprising to see one who thought to himself "let's see how good artificial intelligence (AI) really is". He consulted a team of engineers and computer scientists to see where they might be able to exploit the AI agent named Lengpudashi. They then played 36,000 hands over 5 days and the AI agent kicked the isht out of them. We'll stick to playing rock-paper-scissors with AI, but all of this is leading to some serious visibility for AI as an emerging technology – which as investors make us want to get some skin in the game.

During the peak of the dot-com bubble, you'd be forgiven for thinking prefix investing was a legitimate tactic. A company could receive a nice jump in valuation by adding an "e-" prefix or ".com" suffix. Just being awake to the potential of the World Wide Web was enough to indicate to investors that a company might take advantage of it. What many of those suffixes and prefixes missed however was a detailed plan of attack. The internet was young and full of promises that were either technically or logistically impossible to fulfill.