Bennet Feld | London School of Economics and Political Science

About Me

I am a second-year MRes/Ph.D. student at LSE working both empirically and experimentally, and with a little bit of theory. I broadly focus on the organisation of work, and frequently find myself working with generative AI or studying its implications.

I am visiting Berlin during July and Chicago during the first half of August. I would love to meet up, especially if you are working on generative AI – whether as a researcher, developer, or user.

Research Interests

Organisational Economics, AI

Work in Progress

AI Psychotherapy

Generative AI and Team Organisation

Working Paper

AI-Generated Production Networks: Measurement and Applications to Global Trade

Thiemo Fetzer, Peter Lamber, Bennet Feld, and Prashant Garg

Abstract

This paper leverages generative AI to build a network structure over 5,000 product nodes, where directed edges represent input-output relationships in production. We layout a two-step 'build-prune' approach using an ensemble of prompt-tuned generative AI classifications. The 'build' step provides an initial distribution of edge-predictions, the 'prune' step then re-evaluates all edges. With our AI-generated Production Network (AIPNET) in toe, we document a host of shifts in the network position of products and countries during the 21st century. Finally, we study production network spillovers using the natural experiment presented by the 2017 blockade of Qatar. We find strong evidence of such spill-overs, suggestive of on-shoring of critical production. This descriptive and causal evidence demonstrates some of the many research possibilities opened up by our granular measurement of product linkages, including studies of on-shoring, industrial policy, and other recent shifts in global trade.

PDF Working Paper