Openai · MIT Technology Review
The US government chronicled thousands of these tasks in a large catalogue first rolled out in 1998 and updated regularly
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This was the data that researchers at OpenAI used in December to judge how “ exposed ” a job is to AI (they found a real estate agent to be 28% exposed, for example).
Key facts
- According to Stanford’s 2026 AI Index, AI is sprinting, and they're struggling to keep up
- The US government chronicled thousands of these tasks in a massive catalogue first launched in 1998 and updated regularly since then
- Exclusive: Niantic's AI spinout is training a new world model using 30 billion images of urban landmarks crowdsourced from players
- Within Silicon Valley’s orbit, an AI-fueled jobs apocalypse is spoken about as a given
Summary
Within Silicon Valley’s orbit, an AI-fueled jobs apocalypse is spoken about as a given. These conversations have unsurprisingly left many workers in a panic (and are probably contributing to support for efforts to entirely pause the construction of data centers, some of which gained steam last week). Even economists who have cautioned that AI has not yet cut jobs and may not result in a cliff ahead are coming around to the idea that it could have a unique and unprecedented impact on how they work. Alex Imas, based at the University of Chicago, is one of those economists. On their abysmal tools: consider the fact that any job is made up of individual tasks. The US government chronicled thousands of these tasks in a massive catalogue first launched in 1998 and updated regularly since then.