""Experts have often been wildly wrong in their predictions. The Nobel laureate and AI pioneer Geoffrey Hinton said in 2016, 'People should stop training radiologists now... It's just completely obvious that within five years, deep learning is going to do better than radiologists.' But few if any radiologists have been replaced a decade later.""
""Big Tech wants you to believe it has created artificial general intelligence. That doesn't make it true. When tech CEOs warn of employment Armageddon, they might be covering their bases in case that actually happens, but then again, maybe they just want you to drive up the valuations of their companies.""
""Anthropic's CEO has been warning of a jobpocalypse, but Anthropic's own recent research showed the gap between perception and reality. The company projects great potential for what AI might do in fields like finance and architecture. But what it called 'observed AI coverage' made up a comically small fraction of that theoretical reach.""
Employers face pressure to adopt AI, driven by investor and CEO expectations for cost reduction. However, caution is warranted due to historical inaccuracies in predictions about AI's capabilities. Notable figures like Geoffrey Hinton and Sergey Brin have made bold claims that have not materialized. Big Tech's assertions about artificial general intelligence and employment impacts should be viewed skeptically. Research from companies like Anthropic reveals a significant gap between the potential of AI and its actual implementation in the workforce.
Read at Fortune
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