Foundational expertise may be a prerequisite for extracting durable skill from AI-assisted practice, from @davidautor, Tanya Rodchenko, Josh Martin, Zanna Iscenko, Scott Strand, David Pearl, and Melissa Ferere https://t.co/0d33uIw1Oy https://t.co/jpKa4ewfrY
Does AI Assistance Enhance or Erode Expertise? Evidence from a Three-Month Field Experiment in Patent Drafting nber.org
AI Weekly's analysis
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- Randomized trial of 133 patent lawyers at 11 U.S. IP firms found AI drafting gains of 0.34 SD at 10 days and 0.38 SD at 90 days.
- After three months without the tool, senior lawyers held a 0.45 SD advantage while junior lawyers showed no average gain but bifurcated scores.
- Authors conclude foundational expertise may be a prerequisite for extracting durable skill from AI-assisted practice.
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AI answers can divert web publisher revenue and quality signals. The market design takeaway: without compensation and audits, costly open-web information may fall below replacement, from @alex8chan https://t.co/bVSm6Bt9Aq https://t.co/Re7Gt1by7A
AI and the Collapse of the www nber.org
Examining the utility of AI tools in auditing adherence to pre-analysis plans, from @jeffreypclemens and Anwita Mahajan https://t.co/TjKeIBnOWO https://t.co/lpip7n2jyF
The Utility of AI Tools in Auditing Adherence to Pre-Analysis Plans nber.org
Assessing the role of AI-generated assessments of manuscripts in improving the quality of peer review, from @joshgans https://t.co/krgSKmh0XU https://t.co/5qR0ZenClu
Designing AI-Augmented Peer Review nber.org
In a field experiment with 645 households, an AI chatbot increased property-tax appeals by 9.1 percentage points, but the gains were concentrated among more advantaged households, from @Justin_E_Holz, @pereztruglia, @andrewrsimon, and @zentnerale https://t.co/MbG3gnAKCT https:…
Taxpayer Behavior in the Age of AI: A Field Experiment on Property Tax Appeals nber.org
Featured in the latest Digest: AI Tools and Scientific Innovation https://t.co/OcdLzhRN6O https://t.co/MGIh3BHUUX
AI Tools and Scientific Innovation nber.org
Open call for papers, Big Data, Artificial Intelligence, and Financial Economics. Conference to be held in Cambridge, MA on November 13, 2026. Submit papers by 11:59pm EDT on August 13, 2026. More information: https://t.co/N995fLqDmS https://t.co/hZqdNzYM7b
Big Data, Artificial Intelligence, and Financial Economics nber.org
