Resources & Further Reading
Academic research papers, occupation exposure databases, career frameworks, and monitoring tools
Resources & Further Reading
Primary Resource: Download the Felten-Raj-Seamans Occupation Exposure Database (CSV) for 800+ occupations scored on AI exposure. Use this to benchmark your own assessment. Included in tutorial materials folder.
Academic Research
Felten, E., Raj, M., & Seamans, R. (2024). "Occupational AI Exposure." Journal of Labor Economics.
- [Link to paper (when published)]
- The foundational methodology for task-based AI exposure analysis
Acemoglu, D. (2024). "The Simple Macroeconomics of AI."
- Working paper analyzing the four labor channels (displacement, productivity, reinstatement, deepening)
- [Link: https://economics.mit.edu/research]
Brynjolfsson, E., Li, D., & Raymond, L. (2023). "Generative AI at Work: Productivity Effects of AI on Knowledge Workers."
- Study of 5,000 customer service agents using AI
- Found 14% productivity improvement for average workers, 34% for low performers
- [Link: NBER Working Paper Series]
Webb, M. (2024). "The Impact of Artificial Intelligence on the Labor Market."
- Comprehensive survey of AI's labor market effects
- Dataset of occupational AI exposure by detailed occupation codes
- [Link: Stanford HAI]
Career Pivot Frameworks
Books:
- Range by David Epstein (generalist advantage in AI era)
- The Squiggly Career by Helen Tupper & Sarah Ellis (non-linear career development)
- Designing Your Life by Bill Burnett & Dave Evans (career design thinking)
Online Resources:
- Y Combinator Career Guide: [https://www.ycombinator.com/library]
- HBR Career Planning Tools: [https://hbr.org/topic/career-planning]
- LinkedIn Learning Career Development Courses
Tools for Ongoing Monitoring
AI Capability Trackers:
- OpenAI Product Updates: [https://openai.com/blog]
- Anthropic Claude Releases: [https://anthropic.com/news]
- Papers with Code: [https://paperswithcode.com] (track AI research progress)
Labor Market Data:
- Bureau of Labor Statistics Occupational Outlook: [https://bls.gov/ooh]
- O*NET OnLine: [https://onetonline.org] (detailed occupation task data)
- LinkedIn Workforce Reports: [https://linkedin.com/pulse/topics]
AI Impact Newsletters:
- Import AI by Jack Clark: [https://importai.com]
- The Batch by Andrew Ng: [https://deeplearning.ai/the-batch]
- AI Economics by XPS (subscribe at xps.org)
Community & Discussion
- Reddit: r/artificial, r/MachineLearning, r/cscareerquestions
- Discord: Join the XPS.org community for ongoing discussion
- Twitter/X: Follow #AIEconomics and #FutureOfWork