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The possibility that AI will automate most cognitive labor is worth taking seriously. How should we adapt to this transformation? I start from the perspective, articulated in the essay “AI as normal technology”, that the true bottlenecks lie downstream of capabilities and that AI’s impacts will unfold gradually over decades. If this is true, there are major gaps in our current evidence infrastructure, because it over-emphasizes the capability layer.
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The possibility that AI will automate most cognitive labor is worth taking seriously. How should we adapt to this transformation? I start from the perspective, articulated in the essay “AI as normal technology”, that the true bottlenecks lie downstream of capabilities and that AI’s impacts will unfold gradually over decades. If this is true, there are major gaps in our current evidence infrastructure, because it over-emphasizes the capability layer.
The AI Index, currently in its ninth year, tracks, collates, distills, and visualizes data relating to artificial intelligence.

The AI Index, currently in its ninth year, tracks, collates, distills, and visualizes data relating to artificial intelligence.
Artificial intelligence has come a long way in a short time. No longer relegated to only outwitting humans in chess matches, AI now powers virtual assistants like Siri and self-driving cars testing their way through our neighborhoods. But if AI is getting more ingrained in society, why has it not boosted economic growth — as technological innovations like electricity or computers have done in the past?
Erik Brynjolfsson, a leading economist in AI, says it’s only a matter of time.
Brynjolfsson, Director of the MIT Initiative on the Digital Economy, spoke Tuesday at the Stanford Institute for Economic Policy Research (SIEPR), on “The AI Awakening and the Coming Productivity Boom.” The event was co-hosted by SIEPR and the Stanford Institute for Human-Centered Artificial Intelligence (HAI), where Brynjolfsson is a distinguished fellow. Read the full article.