Anthropic researcher Sholto Douglas predicts that AI models will be capable of automating 95% of computer-facing jobs by 2028. However, he believes widespread adoption will be slower due to factors like compute shortages, policy, and demand for services, suggesting people will continue working into the 2030s. Douglas also proposed policies such as limiting annual layoffs or providing government checks to mitigate AI-driven unemployment. AI
IMPACT Suggests a slower-than-expected timeline for widespread AI job automation, highlighting potential societal and policy challenges.
RANK_REASON Opinion piece from a researcher at an AI lab discussing future job automation.
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