Big companies are already dialing back on error-prone AI and it's putting 'human skills' at a premium | Fortune
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Big companies are already dialing back on error-prone AI and it's putting 'human skills' at a premium | Fortune
"Markets got a shock in late August from an unlikely place: a survey by MIT finding that 95% of generative AI pilots at large companies were failing. That prompted a tech sell-off and talk of whether AI was forming into a stock-market bubble. And another piece of the puzzle just fell into view: the Census Bureau finds that AI adoption rates are starting to decline among major firms."
""What I'm seeing happening is the humans are coming back into the loop," Monahan told Fortune. "We're actually seeing the human skills coming into premium," she said. "I think what people are realizing is even the best AI models still hallucinate 10% to 12% of the time. "We just cannot necessarily overcome that statistical problem yet ... I think what people are seeing, now that they're using AI-generated content, is that they need fact-checking." Only a human can provide that."
"Deutsche Bank called it " the summer AI turned ugly," and there was certainly a heated war of words between Nvidia CEO Jensen Huang and Anthropic CEO Dario Amodei over the latter's prediction that artificial intelligence would wipe out half of all white-collar jobs. The two executives spent much of the summer trading predictions about how many jobs would be lost as AI transformed the workforce in a " fourth industrial revolution.""
After rapid experimentation, AI adoption at major firms is starting to decline as many generative-AI pilots fail. A MIT survey found 95% of generative AI pilots at large companies were failing, triggering a tech sell-off and concerns of a stock-market bubble. The Census Bureau reports declining AI adoption rates among major firms. Corporations are reassessing the long-term value of integrating AI into operations. Freelance market data show increasing demand for human skills and fact-checking. Upwork research indicates that humans are returning to the workflow because top AI models still hallucinate around 10–12% of the time.
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