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How does Richard distinguish between jobs that will be automated by AI and those that won't?

Future of WorkAnalytics

Drawn from Lutz Finger's Forbes column, LinkedIn writing, and Cornell teaching. Sources are cited inline so you can read the originals.

Data availability determines which jobs AI will transform or replace first.

Richard says you can predict how much an industry will change based on how much data is available for a given task. Jobs where outputs are publicly available on the internet, especially all-digital jobs, are where AI can learn from humanity’s collective knowledge and automate the most. Plumbing, for example, has no automation potential because no one is collecting data about what plumbers do. Jobs with abundant digital data and public outputs face the highest automation risk in the coming years.

The Future of AI, with Richard Socher · The Keynote on AI


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