Investors are questioning the return of the huge expenses, and OpenAI Altman says, "This is the fairest criticism of AI."

On June 2nd, IT House News, OpenAI CEO Sam Altman responded to a core concern of investors about AI: Is there a return on a huge investment?

On Monday, in an interview with CNBC, Altman stated that companies continue to invest billions of dollars in infrastructure, chips and software, and that there is reason to question the eventual cost recovery of large AI expenditures. “I think that's the most fair criticism of AI now. You'll hear some company say I spent a lot of money on AI. I know something great is happening, but I know I'm wasting a lot."

Altmann then summed up the general concerns of the business: "How long do I have to wait to actually see AI bring income? How long do I have to wait to really contain the cost? I think the industry will find a solution soon, but that's a reasonable question.”

At a time when Ortmann is making these remarks, investors are increasingly concerned about the ability of the AI boom to generate sufficient revenue to support the staggering cost of inputs. The Wall Street Journal reported in April that OpenAI did not meet some of its key income and user growth targets last year.

According to Business Inners, recent data from the Cloud Optimization Platform Cast AI also show that many companies purchase AI far beyond actual use needs. Cast AI analysed a total of 23,000 clusters in thousands of companies and found that the average GPU utilization rate was only 5 per cent, i.e. about 95 per cent of the graphical processing capacity that was configured was idle.

According to Laurent Gil, the co-founder and president of Cast AI, companies accumulate scarce AI chips, which are often not for immediate use, but for fear of missing the AI wave, resulting in increasing underutilization of computing resources.

IT House learned from the report that Professor Emeritus and author Gary Marcus of the University of New York, a long-term researcher of AI, also stated that super-massive cloud service providers were investing in AI on an unprecedented scale, but had not yet proven that returns matched the scale of investment, and that some of the company's AI capital expenditure plans were “the largest capital mismatch in history”. He also indicated that the combined monthly investment of Amazon, Google, Microsoft and Meta had exceeded the total costs of the Manhattan plan.

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