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Crashing Waves vs. Rising Tides: Preliminary Findings on AI Automation from Thousands of Worker Evaluations of Labor Market Tasks

The FTC, Consumer Data Collection, and the Future of Online Advertising

The FTC is building an economic case for privacy enforcement, and MIT IDE’s Alessandro Acquisti gave testimony arguing that standard regulatory tools underestimate behavioral ad harms. His research challenges the ad industry’s core claim that behavioral advertising benefits everyone. States aren’t waiting for federal action. Nineteen have passed comprehensive consumer privacy laws. On February 26, economists and legal […]

Prompt Adaptation as a Dynamic Complement in Generative AI Systems

Priority Technologies: Ensuring U.S. Security and Shared Prosperity

This timely volume from MIT faculty examines six technologies that are central to U.S. economic competitiveness and national security: critical minerals, semiconductors, biomanufacturing, quantum computing, drones, and advanced manufacturing. The chapter by Ruane and Oliver is explores how quantum computing can enable long-term U.S. leadership through a sustained and bold science and engineering agenda. About […]

AI Leaders Dive Into the Business Implications of AI at MIT

The momentum of AI is real — and so is the pressure to keep up. Companies need to deliver, but when you move fast, you sometimes break things. The challenge for business leaders today is to gain speed but avoid the breaks. That tension between demand for speed and wanting to get AI right was […]

From Better Outputs to Better Outcomes

What is the correct role for AI? A human helper? Human replacement? Something in between? These and other related questions are very much on the mind of Michael Schrage, a Research Fellow at the MIT Initiative on the Digital Economy (IDE). Schrage’s research, writing and advisory work focuses on the ‘behavioral economics’ of models, prototypes and […]

Doing More with Less: “Meek” AI Models Deliver at Lower Costs

Meek models, or those that are trained on smaller, fixed budgets, are poised to close the gap on larger, more costly models. When examining training loss difference, the research scientists found that as the top model faces decreasing returns to compute scaling, the gap between high- and low-budget AI systems eventually shrinks. These findings could […]

Quang-Phuc Phung

Quang-Phuc Phung is a Postdoctoral Associate at MIT Sloan School of Management’s Initiative on the Digital Economy. His research uses behavioral and experimental methods to study how people interact with artificial intelligence and other digital technologies. He is particularly interested in how AI shapes beliefs, incentives, and productivity, and in the role of human judgment […]