Demonstrated that LLM agents can mimic human-like market behaviors—producing bubbles and exhibiting bounded rationality—but with less forecast diversity
Found that image presence increases resharing of false news by 15.0% (vs. 4.8% for true news); Dark Triad traits amplify false news sharing
Developed a global historical benchmark using the Seshat Databank; tested LLMs on 36,000+ questions, achieving 33.6%–46% balanced accuracy (above random 25%)
Showed ChatGPT reduced demand for substitutable freelance skills (e.g., writing, translation) by 20–50%, while boosting demand for complementary AI/ML skills
Estimated a 16–25% decline in Stack Overflow posts post-ChatGPT, suggesting LLMs may erode digital public goods and open data ecosystems
Built a data-driven labor market network model showing automation’s unemployment impact is highly dependent on network position and limited job transition pathways