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Today, the Stanford @DigEconLab launches the AI Economic Indicators, a new platform for tracking how AI is reshaping work, productivity, adoption, and the economy. 1/6
Three key components: 1. The Canaries Dashboard (jointly with ADP Research) — labor market outcomes across occupations and worker groups with different levels of AI exposure. This is the same data that we used for our "Canaries in the Coal Mine?" paper, updated monthly. 2/6
2. The Takeoff Tracker — macroeconomic indicators to give us an early warning of when and where better AI capabilities lead to an economic take-off. 3/6
3. The Adoption Monitor — AI adoption by consumers, workers and firms across multiple datasets. 4/6
It's been a thrill to turn this idea into a public resource with colleagues across the Lab. Special thanks to @connacher_ , who leads the project, along with @therealcko, Susan Young, and Matty Smith — and to the many researchers behind it, including @NelaRichardson, @BharatKChandar, @RuyuChen, @Andrew Wang, @pawtrammell, and @I_Am_NickBloom. 5/6
Each month, we will update it with new data, and periodically, we'll add new metrics and dashboards. Check out the website: <a target="_blank" href="https://digitaleconomy.stanford.edu/project/indicators/" color="blue">digitaleconomy.stanford.edu/project/indica…</a> And let me know what you think! 6/6