Predictions of near-term mass job loss from AI are challenged by a view that automation produces a mix of outcomes. Some jobs decline, some new jobs are created, and many existing jobs change. Earlier research on “jobs lost, jobs gained” remains broadly accurate, with the main uncertainty focused on the mix of effects rather than whether the effects occur. A bet is offered against extreme claims that 50% of jobs would be eliminated within two years, noting that such timelines have already passed. Public skepticism is rising, including concerns that AI is advancing too fast and opposition to local data center construction that supports AI systems.
"“I'll just say: let's take the bet. Some of those predictions were made two years ago that in two years, 50% of jobs would be wiped out. Well, two years is up. Let's take a look. And anybody who makes that prediction for two years from now, I'm willing to take the bet.”"
"“The research hasn't changed very much. The debate that people have is, what's the mix of those three things? As opposed to, are these three things going to happen?”"
"“In 2017, he coauthored a widely cited McKinsey report titled ‘Jobs lost, jobs gained,’ which argued that automation would produce a mix of effects on workers: some jobs would decline, some new jobs would be created, and many more existing jobs would change.”"
"“Public skepticism toward AI is growing. In early May, YouGov published a poll finding that seven in 10 Americans believe that AI is advancing ‘too fast.’ Gallup also found that seven in 10 Americans opposed local construction of the data centers that fuel AI systems.”"
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