Zoe Cullen
- 16 June 2026
- WORKING PAPER SERIES - No. 3246Details
- Abstract
- How well does innovation diffuse across geographic boundaries? To shed light on this question, we present a large-scale field experiment involving 3,300 firms across twelve European Union countries. We elicit firms’ perceptions of the share of similar firms in their own country that had invested in artificial intelligence (AI), as well as the corresponding share among similar firms in Germany, France, and Italy. We randomly provide half of the sample with accurate information about both domestic and foreign AI investment. We show that firms substantially underestimate competitors’ current AI investment, both domestically and abroad, and that they update their expectations about competitors’ future AI investment in response to the information treatment. The treatment also causes a statistically significant increase in firms’ own expected AI investment rate. We find strong strategic complementarities within borders: a 1 pp increase in the expected share of domestic peers investing in AI raises a firm’s own expected AI investment rate by 0.570 pp. These complementarities are absent across borders: the effect of an increase in the expected share of foreign peers investing in AI on a firm’s own expected AI investment rate is statistically insignificant. Overall, our evidence shows that innovation diffusion and strategic complementarities in AI investment are much stronger domestically than internationally.
- JEL Code
- O33 : Economic Development, Technological Change, and Growth→Technological Change, Research and Development, Intellectual Property Rights→Technological Change: Choices and Consequences, Diffusion Processes
D22 : Microeconomics→Production and Organizations→Firm Behavior: Empirical Analysis
C93 : Mathematical and Quantitative Methods→Design of Experiments→Field Experiments
L21 : Industrial Organization→Firm Objectives, Organization, and Behavior→Business Objectives of the Firm