Nvidia’s AGI Claim Rings Hollow in the Market

Nvidia CEO Jensen Huang’s declaration that Artificial General Intelligence (AGI) has arrived has sparked both excitement and skepticism among investors. However, the market’s response suggests that the hype surrounding AGI is not translating into significant stock price movements.

Despite Nvidia’s dominance in the AI computing space and impressive quarterly revenues, investors remain unimpressed by Huang’s claims. In fact, the company’s stock price has dipped 2% since his declaration, while other companies tied to OpenAI have seen gains. This disconnect highlights the challenges of integrating new information about AI breakthroughs into a massive company like Nvidia.

As Gil Luria, head of technology research at D.A. Davidson, notes, Nvidia is “too big to grow,” and its stock price is more akin to a source of funds than a tradable asset. This phenomenon is not unique to Nvidia; the entire AI industry has been marked by hype and disappointment in recent years.

Investors have become increasingly skeptical of claims about AGI’s arrival due to past disappointments with revolutionary technologies that failed to live up to their billing. As Basil Halperin, an economist at the University of Virginia, observes, stocks are a complex reflection of various factors, including existential risk, cybersecurity risk, and competition between companies.

In fact, Halperin argues that the real interest rate is a more reliable indicator of AGI’s impact on the economy. If AI raises growth rates, it will also raise interest rates, which can have a negative effect on stock prices by shrinking the present value of future profits. This makes it less likely for companies to invest in new technologies.

Recent data supports Halperin’s argument: real interest rates have climbed significantly since 2021, and there is no indication that Astra, OpenAI’s latest model, has had a significant impact on these rates. A recent paper by MIT economists Isaiah Andrews and Maryam Farboodi found that long-term Treasury yields have actually fallen around major model releases.

The implications of this are far-reaching: if the market’s response to AGI is not what we expect, it may be time to reevaluate our assumptions about the technology itself. Are we chasing a mythical goal that will never materialize? Or are we simply misinterpreting the signals from the market?

One thing is clear: the hype surrounding AGI has reached a fever pitch, but the market’s response suggests that we are still far from achieving true AI breakthroughs. As investors and researchers alike, we must be cautious not to get caught up in the excitement and remember that the market is often a more reliable guide than our own expectations.

The real test of AGI will come when it can deliver tangible benefits to society, rather than just generating headlines and hype. Until then, we would do well to temper our enthusiasm with a healthy dose of skepticism.