The AI Industry Is Still Light-Years From Making a Profit, Experts Warn

Did you look at the AI -Openai, Microsoft, NVIDIA, and the like – you will be convinced that the industry earns money on a grip.
However, it looks a bit deeper, the cracks begin to appear in that interface, and adopt one uncomfortable fact: that the artificial intelligence industry has not yet been discovered how it is profitable, and perhaps it will never be.
In interviews with New York TimesEven the most enthusiastic artificial intelligence supporters were unable to rotate the technology (and the surrounding industry) into something similar to profitability.
Raw technology capacity [of AI] It is great, “Massachusetts Institute of Technology Institute” and the founder of artificial intelligence consulting Andrew McAfee, but will not determine the rapid transformation of the artificial intelligence of the economy.
Of course, there is one huge reason for artificial intelligence that is not the one who hopes investors in the investment machine to be as well: that it costs an amazing amount of money, and it is expected that it will become more expensive with the progress and expansion of its scope.
MCKINSEY also revealed in a report earlier this year, its research indicates that by 2030, artificial intelligence data centers will need to spend 6.7 huge dollars Trillion On computing to keep pace with the request. With estimates from the Hartinger software that displays the size of the artificial intelligence industry, approximately $ 305.9 billion by the end of this year, it is difficult to imagine trillion dollars to come to the industry over the next five years, much less than any money that exceeds that.
Although it is an important indication of demand, the market size is not, of course, the same thing as profitability. Technical journalist Ed Zetron also noticed earlier this year, Openai has been spent full of $ 4 billion on running and training models.
While the noise cycles surrounding AI indicate that every new model will be a pioneer and the world is closer to artificial general intelligence (AGI) or intelligence at the human level, artificial intelligence companies separate these goals so far. A major example of these decreasing returns is Openai’s GPT-5, whose release has turned into DUD.
With every new DUD, it seems more and more like the progress of artificial intelligence has reached a plateau, as critics argued. It is not surprising, then, that the executive managers who invested in artificial intelligence have begun to get cold feet.
In a report released in May, the ASANA work management software, when erasing nearly 4,000 people working in it, found that 29 percent – or one in three – drank artificial intelligence in 2024 now regretted the decision. This report was also briefly developed, “The 2024 rush has spread artificial intelligence to a realistic reality.”
It apparently regretted some of the procedures that make the training course. In a similar survey presented in March, it has wiped 1000 companies that invested in artificial intelligence, found the S& PLATET Intelligence that 42 percent had already abandoned those endeavors – a severe increase of 17 percent who got rid of artificial intelligence projects in 2024.
The chief information official at Jpmorgan Lori Beer said Newton Following the bank’s decision to restrict employees from using ChatGPT, it established hundreds of additional artificial intelligence projects.
“We are completely closing things,” Bear told the newspaper. “We are not afraid to close things. We don’t think it’s a bad thing. I think it’s a smart thing.”
While artificial intelligence reinforcements may try to draw these failures in investing positively – tell MCAfee Newton That “innovation is the process of failure to some extent”-it is difficult to see artificial intelligence as anything other than the bubble that is widely prepared to explode.
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2025-08-16 12:30:00