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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.
Strategic stability exists when neither side thinks it can improve its strategic outcome by striking first.

Strategic stability exists when neither side thinks it can improve its strategic outcome by striking first.
This free, online summit hosted by GSE Dean Dan Schwartz, with a welcome from Stanford University President Marc Tessier-Lavigne, brings together experts from across Stanford who work to improve learning. They will discuss the breakthroughs in neuroscience, technology, and data that are making it possible to create more equitable, just, and effective learning solutions.
The summit is sponsored by the Transforming Learning Accelerator, an initiative born out of Stanford's Long-Range Vision.