As of the time of this writing, ORCL shares are down over 12% as investors unpack its results: On the surface, the numbers look good. Non-GAAP earnings per share (EPS) were up 54% and total revenue was up 14%. However, as noted by CNBC, while Oracle's non-GAAP EPS beat LSEG analyst expectations of $1.64, analysts were expecting higher total revenue figures: $16.21 billion versus the $16.1 billion Oracle delivered.
Jenny Xiao, partner at Leonsis Capital and former researcher at OpenAI, came in with a nuanced take. There's something of a bubble, but it's "relatively contained" in the infrastructure layer with overinvestment primarily in data centers, GPUs and in large language model companies. But right now, there's actually underinvestment in the application layer because there are so many ways AI can make an impact in various enterprises, Xiao said.
Anthropic, which is in talks for a new round of VC funding that would value the AI company at $300 billion, has retained the California law firm Wilson Sonsini to advise it on IPO issues, the FT said, with an eye on going public in 2026. The company denied it has made any such plans. Going public would give the company a vast new war chest of cash with which to compete against Sam Altman's OpenAI.
Do you think we're in an AI Bubble? Even the experts who've predicted past crashes can't seem to agree. "Dr. Doom" Nouriel Roubini—who predicted the mid-2000s housing crash that Wall Street dismissed—and isn't convinced we're heading for catastrophe. Yet, the analyst who called the dotcom bubble has warned it will all "end in tears." And then there's the "Big Short" investor Michael Burry, who is going as far as betting $1 billion on the AI bubble bursting.
Are we in the middle of an AI bubble? Ask a lawmaker, and they probably won't have a definitive take for you. "If I knew that, I'd be in a different line of work," Rep. Ro Khanna, a Democrat who represents much of Silicon Valley, told Business Insider. The AI bubble debate has been raging in the tech world since August, when OpenAI CEO Sam Altman said that investors had grown "overexcited" about the technology.
"While businesses aren't investing, it's hard to make much progress in the software world," Fowler said. "And so we have this weird mix of no investment, pretty much depression in the software industry, with an AI bubble going on."
Many of these views have been aired recently on Scott Galloway and Ed Elson's financial podcast, Prof G Markets, including a bearish stance from longtime bull NYU Stern Finance Professor Aswath Damadoran, who said the market was failing to price in a " potentially catastrophic " scenario.
The bot is trained on a range of materials, including Dalio's books and public speeches. The hedge fund titan has described it as the natural extension of the computing partners he developed decades ago at the company he founded. It "is consistent with my current main goal in life, which is to pass along what I have that can be valuable to others," he has said.
Step aside, Elon Musk vs. Sam Altman. There's a new beef in the business world, and it centers on the stock market's biggest question: Is the AI boom a bubble? Michael Burry of "The Big Short" fame and Palantir CEO Alex Karp have been trading barbs after the investor revealed he bet on Palantir's stock to plunge last quarter. The pair's clash boils down to a fundamental difference in views that's a microcosm of the market's big divide.
First, defense contractors selling AI products or services may revert to an earlier tendency to re-package AI technologies under more palatable monikers, like "data analytics." Second, national defense organizations in the United States and elsewhere may take up the mantle of basic AI research & development suitable for their own ends, capturing the value left in the bubble's wake.
The concerns around an Artificial Intelligence bubble basically center on whether the massive investments flooding into artificial intelligence can justify their enormous costs and deliver on their transformative promises. Critics worry that the sector is experiencing irrational exuberance reminiscent of the dot-com boom, with tech companies spending hundreds of billions on AI infrastructure, startups commanding sky-high valuations based on potential rather than actual profits, and enterprises rushing to implement AI solutions without clear use cases or a clear return on investment.
With all the chatter and commentary about the internet (or dot-com) bubble burst and even the great stock market crash of 1929, it's quite an unsettling time to be an investor in the markets, as the S&P nears new highs after a 2.3% gain for the month of October. For the tech-heavy Nasdaq 100, it was an even brighter month, with the index nearly rising 5% in a month.
The S&P 500 and NASDAQ futures are trading down over 1% on Tuesday, following Palantir's 6.9% decline despite beating earnings expectations and giving strong forward guidance. Concerns over an AI bubble continue to mount. Tuesday's sell-off follows a wild start to the week, during which the Dow Jones Industrial Average traded lower due to weakness in Merck Inc. (NYSE: MRK) and UnitedHealth Group Inc. ( NYSE: UNH).
Suddenly, and not long ago, our dearest tech industry leaders began to suggest caution. Sam Altman said that AI is in a bubble "for sure," albeit one formed around "a kernel of truth." Mark Zuckerberg said an AI bubble "is quite possible," though "if the models keep on growing in capability year over year and demand keeps growing, then maybe there is no collapse, or something." Even Eric Schmidt is saying to calm down about artificial general intelligence and focus on competing with China.
"In the end, something very profound happened. The world was very different," Gates said. "Some companies succeeded, but a lot of the companies were kind of me-too, fell behind, burning capital companies."
It's becoming clearer that we are in a perilous financial situation globally. Fears over an "AI bubble" are being cited by the Bank of England, the International Monetary Fund and the boss of JP Morgan, Jamie Dimon. If you want a sense of how insane the narrative is around AI investments, consider this: Thinking Machines Lab, an AI startup, recently raised $2bn funding on a valuation of $10bn. The company has zero products, zero customers and zero revenues. The only thing it made public to its investors was the resume of its founder, Mira Murati, formerly chief technology officer at OpenAI. If that's not hubris meeting market exuberance, what is?
No matter how much is said about the hundreds of billions of dollars hovering over the tech industry's head like an anvil in the "AI bubble," it just won't pop. Not only is it refusing to budge, but it's growing by the day. The AI bubble is getting so bad, in fact, that it's making previous market bubbles look like chump change.
His far-sighted blend of tech criticism and class analysis has found Doctorow time and again at the bleeding edge of commentary on our techno-capitalist society. In many ways, his screeds on topics like tech broligarchs and enshittification broke the mold to allow room for the kind of tech-critical reporting being done by media projects like Tech Policy Press and , or the podcasts" Tech Won't Save Us," and " Better Offline."
