Geoffrey Hinton, the Nobel laureate often called the โ€œgodfather of AI,โ€ warned Friday that the enormous sums tech giants are pouring into artificial intelligence will only generate returns if companies replace large numbers of human workers.

In a Bloomberg TV interview, Hinton said the primary path to profitabilityโ€”beyond subscription fees for tools like chatbotsโ€”lies in using AI to cut labor costs.

โ€œThe big companies are betting on it causing massive job replacement by AI, because thatโ€™s where the big money is going to be,โ€ he told Wall Street Week.

Microsoft, Meta, Alphabet, and Amazon are on track to spend $420 billion on AI infrastructure next fiscal year, up from $360 billion this year, according to Bloomberg estimates.

OpenAI has separately secured $1 trillion in deals with partners including Nvidia, Broadcom, and Oracle to build out computing capacity.

Hinton rejected the historical pattern where new technologies created as many jobs as they eliminated. โ€œI believe that to make money youโ€™re going to have to replace human labor,โ€ he said, repeating a view he shared with the Financial Times in September about impending โ€œmassive unemployment and a huge rise in profitsโ€ under current economic systems.

Early evidence supports his concern. Job listings have dropped about 30% since ChatGPT launched in late 2022, with entry-level positions hit hardest.

Amazon announced 14,000 corporate layoffs this week, mostly in middle management; CEO Andy Jassy cited cultural reasons, but a June internal memo highlighted expected โ€œefficiency gains from using AI extensively.โ€

Hinton acknowledged AIโ€™s potential benefits in medicine, education, and productivity. Asked whether he would stop its development if he could, he paused before replying: โ€œItโ€™s not like nuclear weapons, which are only good for bad things.โ€ The real challenge, he argued, is not the technology but โ€œhow we organize society.โ€

As capital floods into AI, the tension between innovation and employment sharpens. Hintonโ€™s blunt assessment lays bare the wager tech leaders are makingโ€”and the societal reckoning that may follow if they win.

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