AI and the Future of Work Conference Agenda

Nancy Rothbard, David Pottruck Professor and Deputy Dean of the Wharton School

Matt Beane, Professor, UC Santa Barbara. Hedging with Talent: How Selection Under Uncertainty Reshapes Automation’s Workforce Effects 

David Holtz, Assistant Professor, Columbia Business School and Neel Rakholia, Data Scientist, OpenAI
The Diffusion of ChatGPT Within Firms: Evidence from Enterprise Usage Data

Benjamin Manning, PhD Student, MIT.  General Social Agents

Daniel Keum, Associate Professor, Columbia Business School. Automation and the Erosion of Firm-Employee Relations

Lei Wang, Assistant Professor of Information Systems, Kelley School of Business, Indiana University. When AI Supports Emotionally Demanding Service Work: Experimental Evidence from Customer Service Interactions

Alev Yildirim, Assistant Professor of Finance, Queens College, CUNY.  Organizational Exposure to Generative AI and Its Impact on Employee Satisfaction

Samsun Knight, Assistant Professor, University of Toronto. The Effect of AI on Marketing Employment: Evidence from 90m+ Online Employment Records

Brian Jabarian, Howard and Nancy Marks Postdoctoral Fellow, University of Chicago, Booth School of Business. Choice as Signal: Designing AI Adoption in Labor Market Screening

Cassandra Merritt, Postdoctoral Scholar, University of Notre Dame.  Managers as Gatekeepers in the Age of AI

Xingqi (Maggie) Ye, PhD Student, Haas School of Business, UC Berkeley.  Addicted to AI: How Gen AI Leads to Voluntary Work Intensification

Peyman Shahidi, PhD Student, Sloan School of Management, MIT.  Chaining Tasks, Redefining Work: A Theory of AI Automation

K. Sudhir, Professor, Yale School of Management.  The Production-to-Orchestration Shift: How Gen AI Reorganizes Knowledge Work

Sanchaita Hazra, PhD Candidate, University of Utah.  Accepted with Minor Revisions: Value of AI-Assisted Scientific Writing

Zezhen (Dawn) He, Postdoctoral Associate, Sloan School of Management, MIT.  Mental Models and Personalization of Model Selection

Neha Sharma, Assistant Professor, The Wharton School, University of Pennsylvania.  Generative AI Shifts Technical Knowledge Production toward Recombinant Novelty

Anandhi Bharadwaj, Professor, Emory University. Pricing of Multidimensional Skills in the IT Labor Market: Complementarities between AI and Traditional IT Skills

Kanghyun (Simon) Cho, PhD Candidate, Fox School of Business, Temple University.  When Code Writes the Coder: The Delegation-Validation Trap in Vibe Coding

Leon Musolff, Assistant Professor, The Wharton School, University of Pennsylvania.  Coding Agents: Adoption, Learning and Productivity Effects

Andrea Contigiani, Assistant Professor, Ohio State University.  Entrepreneurship, Experimentation, and Gen AI: Evidence from ChatGPT

Jackie Lane, Assistant Professor, Harvard Business School.  Which Problems Does AI Make Worth Solving? Entrepreneurship, Human Needs, and the Direction of Innovation

Brandon Lepine, Graduate Student, UC Santa Barbara.  Precision Proactivity: Measuring Cognitive Load in Real-World AI-Assisted Work

Seth Benzell, Assistant Professor, Argyros College of Business and Economics, Chapman University + Digital Economy Lab + MIT IDE.  Automation Experiments and Inequality

Wei Chen, Associate Professor, University of Connecticut.  The Missing Middle: Workflow Design as the Key to Effective AI Agents

Alex Fogelson, Research Assistant, MIT FutureTech.  The Rapid Growth of AI Foundation Model Usage in Science

Robert Meyer, Frederick H. Ecker/MetLife Insurance Professor;  Faculty co-director, Wharton Human-AI Research; Co-chair, AI and Future of Work Conference

Anirudh Bajaj, Senior PM, Microsoft. What Every AI Job Study Gets Wrong:  A Framework for Predicting How Much AI Will Actually Transform Each Occupation

Kanghyun (Simon) Cho, PhD Candidate, The Fox School of Business, Temple University. The Generativity Paradox: When Eliminating Creation Barriers Deepens Adoption Inequality in AI Agent Ecosystems

Sahiba Chopra, PhD Candidate, UC Berkeley Haas School of Business.  When AI Obscures Human Effort: Effort Opacity and the Evaluation of Collaborative Work

Sorour Fatemi, Visiting Assistant Professor, Cal State Monterey Bay, College of Business.  Do Large Language Models Gamble Like Humans? Risk Preferences, Episodic Memory, and Demographic Stereotypes in LLM Decision-Making

Moh Hosseinioun, Postdoctoral Fellow, Northwestern Kellogg School of Management. Artificial Intelligence and the Reorganization of Work: Evidence from Software Firms

Aakriti Kumar, Postdoctoral Researcher, Kellogg School of Management, Northwestern University.  Practicing with Language Models Cultivates Human Empathic Communication

Junjie Luo, PhD Student, School of Medicine, Johns Hopkins University.  Can Agentic AI Learn from Experimental Data to Design Superior Interventions? Evidence from Patient Messaging

Dalbert Ma, PhD Student, London Business School.  The System-Level Cost of Algorithmic Coordination

Aleksei Opacic, PhD Candidate, Harvard University. Matchmakers and Gatekeepers: AI Recommendations and Racial Inequality in Hiring

Jerry Qian, PhD Candidate, Department of Economics, University of Virginia.  AI in the Lab: AlphaFold2’s Impacts on Human-Produced Knowledge

Adam Quinn, Haas Postdoctoral Research Fellow, Science History Institute.  The Past and Future of Digital Automation: AI’s Labor Impacts in Historical Context

Qi Wang, Postdoctoral Associate, Questrom School of Business, Boston University.  When Does Clinical AI Substitute for Experience? AI Exposure, Medical Reasoning, and Workforce Flows in U.S. Hospitals

Xiupeng Wang, Assistant Teaching Professor, D’Amore-McKim School of Business, Northeastern University.  AI’s Job Shakeup: Analyzing the Uneven Impact of AI Adoption on Labor Demand

Zachary Wojtowic, Postdoctoral Fellow, MIT.  Artificial Intelligence and the Reorganization of Work: Evidence from Software Firms

David Almog, PhD Student, Kellogg School of Management, Northwestern University.  Barriers to AI Adoption: Image Concerns at Work

Jim Alvarez Mourey, Associate Professor of Marketing; Associate Dean of Graduate Programs, DePaul University. The AI Acceptance Gap: Identity-Based Judgments of AI-Assisted Work

Raphael Raux, Postdoctoral Associate, Sloan School of Management, MIT.  Human Learning about AI

Tommaso Bondi, Assistant Professor of Marketing, Cornell Tech.  Skill Atrophy and AI Productivity Mismeasurement

Ben Hyman, Economist / Senior Researcher, UCLA / California Policy Lab.  How Retrainable Are AI-Exposed Workers?

Fangchen Song, PhD Candidate, The University of Texas at Austin.  AI and the Skill Gap: Evidence from a Large-scale Field Experiment

Michael Blank, Assistant Professor of Finance, Stanford Graduate School of Business.  The Household Impact of Generative AI: Evidence from Internet Browsing Behavior

Paramveer Dhillon, Associate Professor, University of Michigan.  Readers Prefer Outputs of AI Trained on Copyrighted Books over Expert Human Writers

Koleman Strumpf, Professor of Economics, Wake Forest University.  How AI Reshapes Human Content Creation: The Case of Wikipedia

Bharat Chandar, Postdoctoral Researcher, Stanford University.  AI and Labor Around the World

Chris Dellarocas, Richard C. Shipley Professor of Information Systems, Questrom School of Business.  Does AI Reduce Employer Reliance on Master’s Degrees? Evidence from Labor Market Flows

Morgan Frank, Assistant Professor, Department of Informatics and Networked Systems, University of Pittsburgh.  AI-exposed Jobs Deteriorated before ChatGPT

Xinlan Emily Hu, Postdoctoral Associate, MIT.  Designing Optimal Human-AI Collaboration Processes for Complex Decision Tasks

Xi Kang, Assistant Professor, Owen Graduate School of Management, Vanderbilt University.  Working Alongside Algorithms: How Parallel AI Deployment Affects Mutual Fund Analysts’ Performance

Kevin Lee, Assistant Professor of Marketing, University of Michigan, Ross School of Business.  Agentic Interactions

Michelle Vaccaro, PhD Student, Institute for Data, Systems, and Society, MIT.  Advancing AI Negotiations: A Large-Scale Autonomous Negotiation Competition

Matthew Gee, Director, U.S. Program Data, Gates Foundation

Daniel Rock, Co-chair, AI and Future of Work Conference

Robert Meyer and Sonny Tambe, Co-chairs, AI and Future of Work Conference