OpenAI Economic Research Exchange: A Platform to Measure AI's Labor and Productivity Effects
OpenAI launched the Economic Research Exchange to fund and coordinate empirical research on AI's impacts on jobs, productivity, and the broader economy. The initiative aims to provide data, funding, and partnerships to produce actionable evidence for policymakers and business leaders.
What it is. The Economic Research Exchange is a program to support independent academic and policy research into how AI technologies change work, wages, and productivity. By offering data access, funding, and collaboration opportunities, OpenAI hopes to generate rigorous evidence that can inform policy and corporate strategy.
Why it matters. High-quality, replicable empirical studies are scarce despite rapid AI adoption. Businesses and governments are making consequential decisions (skills investment, tax policy, social safety nets) with incomplete evidence. A coordinated research platform can accelerate understanding of displacement risk, augmentation potential, and sectoral productivity dynamics.
Implications for leaders. Executives should treat the Exchange as both a source of insight and a partnership opportunity. Participate as data partners or apply for projects to gain nuanced, sector-specific intelligence. Use outcomes to refine workforce planning, automation ROI models, and reskilling investments. For HR and strategy teams, empirical findings will help prioritize which roles to augment, automate, or reskill.
Practical actions. Consider applying to the Exchange or forming consortia to sponsor targeted studies relevant to your industry. Meanwhile, standardize internal metrics for productivity and task composition to make your data research-ready. Firms that couple robust internal measurement with external research will be better positioned to translate findings into operational change and public-policy engagement.
Original Source
OpenAI