There’s an increasing buzz about a possible artificial intelligence (AI) bubble as valuations for related companies skyrocket.
Prominent figures like OpenAI’s CEO Sam Altman and Amazon’s Jeff Bezos have recently hinted that investors might be getting a bit too enthusiastic about AI, given the massive sums being poured into it.
The situation is further complicated by the cyclical nature of AI investment, as notable companies like Nvidia and OpenAI continue to announce new partnerships to benefit from this trend.
“The big question is: Are we witnessing an AI bubble?” mused James Angell, an associate professor at Georgetown University’s McDonough School of Business. “History will tell us whether today’s high valuations were justified by future earnings or if investors got carried away.”
Since the debut of OpenAI’s ChatGPT in late 2022, the tech landscape has shifted dramatically, attracting a wave of investor attention. Nvidia, once primarily known for video game hardware, has emerged as the most valuable company worldwide.
The company’s chips are central to the AI surge, and this past July, Nvidia became the first public company to surpass a $4 trillion market cap. Now, it has reached an impressive valuation of $4.5 trillion.
Major tech players like Microsoft, Apple, Amazon, Google, and Meta are also making significant investments in AI, resulting in substantial growth over the last few years as they seek to capitalize on the AI trend.
Other businesses are feeling the ripple effects of AI enthusiasm as well. For instance, Oracle’s shares jumped 40% in a single day in September after announcing anticipated impressive revenues from a significant cloud computing agreement.
These dramatic increases in stock prices have raised alarms that valuations might be straying from their actual worth, a common sign of bubbles.
“When a bubble forms, even intelligent investors can become overly energized by a sliver of truth,” Altman remarked to reporters in August, according to The Verge.
“Are we at a point where investors are too giddy about AI? That’s how I see it,” he continued, adding, “Is AI the most transformative development we’ve seen in quite a while? I believe so.”
Bezos shared a similar viewpoint recently, suggesting that the current hype might be clouding investors’ judgment.
“When excitement around AI runs high, all the experiments and startups get funding,” he noted, mentioning that it becomes challenging for investors to differentiate between promising and less viable ideas during such fervor.
As worries of an impending bubble grow, a wave of prominent partnerships among large corporations has spurred skepticism about the fluctuating nature of AI financing.
Just last month, Nvidia announced a monumental plan to invest $100 billion into OpenAI. Concurrently, OpenAI expressed intentions to develop 10 gigawatts of data centers, which Nvidia’s CEO likened to needing around 4 million to 5 million chips.
Shortly after, OpenAI revealed it plans to acquire 6 gigawatts worth of chips from AMD, which includes an option to secure up to a 10% stake in the chipmaker.
This arrangement has raised issues regarding vendor financing—a practice reminiscent of the late 1990s dot-com bubble—which serves as another reason why this current AI boom draws parallels to the internet surge.
Bank of America analyst Vivek Arya acknowledged that this deal “brings back unpleasant memories” of past bubble behavior.
However, he views concerns over vendor financing as “greatly overstated,” suggesting that such agreements might only represent a small fragment of the anticipated AI spending surge in the coming years.
Analysts at Goldman Sachs echoed this sentiment, noting that while current investor behavior mirrors past bubbles in some respects, the growth of these stocks thus far appears to be linked to actual performance rather than mere speculation.
Angell pointed out that these distinctions could provide a buffer for the market. “When the entire worth of a stock is based on its narrative, any flaw in that story can lead to a swift market reaction,” he said.
Conversely, established companies could face less scrutiny and allow more room for error in the current market climate.
Some are attempting to differentiate this potential AI bubble from previous ones. Bezos described it as an “industrial bubble,” potentially beneficial for society due to its innovative outputs.
Mary Daly, president of the San Francisco Fed, seemed to agree in a recent Axios interview, suggesting that not all bubbles are financial in nature.
“In academia, we often refer to this as a productive bubble attracting substantial investment,” she noted.
Daly added that even if returns don’t align with early investors’ expectations, the results can still yield valuable advancements.
On the other hand, the Bank of England cautioned about the possibility of a “sharp market correction,” indicating that markets could become unstable if faith in AI’s impact wanes.
Amidst both excitement and anxiety regarding AI, Karrie Cox, a chief market strategist at Ritholtz Wealth Management, underscored that the technology’s influence hasn’t yet manifested in significant economic changes. She pointed out that its effects are not yet evident in employment or productivity metrics.
“There’s a lot of optimism embedded in AI projections on the stock market right now,” Cox said, cautioning that there’s little concrete evidence to back these assumptions. “AI seems to be more of a catalyst for stock prices than for economic growth.”
Although fluctuations in the stock market could impact the economy, Cox emphasized that the employment landscape is far more critical.
“If you’re trying to gauge the overall economy, you have to pay attention to job market dynamics,” she stated. “At this stage, AI isn’t significantly affecting job opportunities.”
