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"Artificial Intelligence and the Labor Market" Nice analysis of LinkedIn data to estimate the impact of AI on jobs between 2010 and 2023. It illustrates the complexity of AI economic impacts: what exposure taketh away, complementarities and productivity giveth. www.menakahampole.com

The results are consistent with their hypotheses: AI drives firm growth, occupations with high mean exposure to AI decline but this is often more than offset by complementarities and productivity growth. Big AI impacts with different signs lead to small aggregate changes.

All this highlights the need to consider AI economic impacts holistically, and to create incentives and infrastructure to reproduce AI economic impact analyses regularly to track longer term impacts via improved capabilities and job redesign.

They use LinkedIn job ads to measure firm-level AI adoption and occupation / task distribution, and embedding distance to ONET tasks to quantify exposure. They use instruments to reduce selection biases and mitigate mis-measurement (read the paper for full details)

In their model, AI displaces an occupation if its mean task exposure to AI is high, and augments it if its exposure dispersion is high (some tasks are exposed to AI and others untouched). They also consider impacts on labour demand though AI-powered firm growth.

Metascience and AI postdoctoral fellowship Cool @sloanfoundation.bsky.social opportunity for anyone interested in studying AI x science adoption and impact. It is also very aligned with the evidence and experimentation recommendation in our recent essay! sloan.org/programs/dig...

📢 𝗡𝗲𝘄 𝗽𝗮𝗽𝗲𝗿 alert! We document how 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝗶𝘀 𝗿𝗲𝘀𝗵𝗮𝗽𝗶𝗻𝗴 𝗱𝗲𝗺𝗮𝗻𝗱 𝗳𝗼𝗿 𝗳𝗿𝗲𝗲𝗹𝗮𝗻𝗰𝗲𝗿 𝘀𝗸𝗶𝗹𝗹𝘀. 💼 💻 📊 We analysed 𝟯𝗠+ 𝗷𝗼𝗯 𝗽𝗼𝘀𝘁𝘀, used embeddings to cluster them into 𝟭𝟬𝟬+ 𝗳𝗶𝗻𝗲-𝗴𝗿𝗮𝗶𝗻𝗲𝗱 𝘀𝗸𝗶𝗹𝗹𝘀, and LLMs to classify them as s𝘂𝗯𝘀𝘁𝗶𝘁𝘂𝘁𝗮𝗯𝗹𝗲, 𝗰𝗼𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁𝗮𝗿𝘆, or 𝘂𝗻𝗮𝗳𝗳𝗲𝗰𝘁𝗲𝗱.