AI and the Future of Work Conference

Industrial AI in America: Microfoundations of the Productivity J-curve(s)

• Kristina McElheran, Assistant Professor, University of Toronto

Some Economics of Capital Accumulation in the Age of AI

• Seth Benzell, Assistant Professor, Argyros College of Business and Economics, Chapman University

Creative Markets in the Age of Generative AI

• Eric Zhou, PhD Candidate, Questrom School of Business, Boston University

GenAI Usage Disclosure: Ethnographic Analysis

• Karthik Nattamai Kannan, Assistant Professor of IT and Operations Management, Cox School of Business, Southern Methodist University

AI Exposure on Workers’ Career Path: Evidence from U.S. Workforce

• Gavin Wang, Assistant Professor, University of Texas at Dallas

Mapping AI Use Cases: A Large-Scale Analysis of Job Postings

• Simon Lowe, Economist, The Burning Glass Institute

AI-Enabled Job Markets and Market Participation

• Sarah Bana, Assistant Professor, Chapman University

Sanity Checks for Testing the Reliability of LLMs in Opinion Surveys

• Terrence Neumann, PhD Candidate, McCombs School of Business, University of Texas at Austin

Unpacking the Impact of Algorithmic Management on Discretion in Hotel Housekeeping Work

• Christine Riordan, Assistant Professor, University of Illinois at Urbana-Champaign

Aggregate Productivity Gains from AI: A Sectoral Perspective

• Francesco Filippucci, Economist, OECD

LLM Time Machines: Valuing Digital Goods over Time

• Avi Collis, Assistant Professor, Carnegie Mellon University

Human + AI in Financial Reporting: Evidence from the Field

•  Jung Ho Choi, Assistant Professor of Accounting, Stanford Graduate School of Business

AI Reasoning Models, RAG, and the Future of Legal Practice

• Beverly Rich Ingersoll, Partner, Messner Reeves LLP.

The Effect of Gunshot Detection Tech on Policing Practices

• Brad Greenwood, Professor, George Mason University

AI Assistance Can Enhance Skill Development

• Benjamin Lira, Doctoral Candidate, University of Pennsylvania

Overconfidence in AI, Underconfidence in Worker Expertise

• Anna Kawakami, PhD Student, School of Computer Science, Carnegie Mellon University

Designing Human-AI Collaboration

• Alex Moehring, Assistant Professor, Purdue University

Generative AI as Routine-Biased Technical Change?

• Patryk Perkowski, Assistant Professor of Strategy and Entrepreneurship, Sy Syms School of Business, Yeshiva University

Incentive Issues in Developing LLM Fact Checkers

• Manmohan Aseri, Assistant Professor in Decision, Operations & Information Technologies, Robert H. Smith School of Business, University of Maryland, College Park

Generative AI and the Nature of Work

• Frank Nagle, Assistant Professor, Harvard Business School

Measuring New Work in the Age of AI

• Isabella Loaiza, Postdoctoral Associate, MIT Sloan

Advancing AI Capabilities and Evolving Labor Outcomes

• Yong Lee, Associate Professor, Keough School, University of Notre Dame

Government Policy and Innovation Outcomes

• Milan Miric, Associate Professor, USC Marshall School of Business

How Personality Influences Coding Performance of LLM Agents

• Chenchuan He, PhD Student. University of Delaware

Simulating the Survey of Professional Forecasters

• Anne Hansen, Senior Financial Economist, Richmond Fed

Gen AI and Organizational Structure in the Knowledge Economy

• Wei Chen, Associate Professor, University of Connecticut

AI at the Crossroads: Light Bulb, Dynamo, or Microscope?

• David Byrne, Principal Economist, Federal Reserve Board

— Chaired by Wharton Faculty —

— Conference Coordinator —