The Digital Economy

Investors have poured billions into using artificial intelligence to discover new drugs, and 2026 is the first real test of whether AI-designed medicines actually helps patients. The boom has genuinely transformed the search for molecules — but that was never the costly, failure-prone part of making a medicine, and there AI has so far had little to add. Capital, and the public subsidies have not yet priced the difference, writes Michael A. Santoro.

Microsoft CEO Satya Nadella’s argument that businesses need to be able to easily switch between artificial intelligence models is correct but elides the fact,...

The competitiveness of the artificial intelligence market at first glance masks how investment arrangements and partnerships between the largest players risks undermining their incentives to compete. Regulators must continue to monitor these arrangements for anticompetitive effects, writes Shishene Jing.

In a new working paper, Magnus Lodefalk, Lydia Löthman, Michael Koch, and Erik Engberg examine how generative AI is reshaping the labor market. They find little evidence that AI has cut the total number of jobs, but show that it has slowed hiring for the youngest workers, especially in the AI-exposed occupations where young women are concentrated. Over time, AI’s effect on entry-level roles risks thinning the next generation’s ability to build the skills and networks that careers are made of. 

The caution of Judge Amit Mehta’s remedy in the Google Search case is unlikely to open internet search to competition. Steve Salop recommends several amendments to the remedy that can improve competition without undercutting the revenue that has benefited Google’s partners to date.

Digital marketplaces make comparing credit lending options easier for potential borrowers. However, Jeromee "JJ" Johnson cautions that online platforms may be turning comparison itself into a signal to lenders—at a cost to applicants.

In new research, Anik Bhaduri discusses how current antitrust enforcement is insufficient to address the economic influence of Big Tech companies. He argues that their market power stems from their privileged position on financial markets and their unique organizational structures, and antitrust reforms should therefore be complemented with reforms to corporate and securities law to effectively address the concentration of private power.

An accounting rule introduced by the Financial Accounting Standards Board in 2016 was designed to address a flaw in the previous regime that contributed to the 2008 Financial Crisis. However, this same rule is enabling the circuit of investments that flows from Big Tech companies to artificial intelligence startups, whose increased valuation from these investments increases the value of the Big Tech companies, which they can then reinvest in the AI startups. The risk is an AI bubble that, if it pops, will also blow up Americans’ savings, writes Hera Hyeonseo Lee.

In new research, Louis Pape and Michelangelo Rossi find that the European Union’s Digital Markets Act’s prohibition on self-preferencing had little effect on the popularity of Google Maps relative to competitors. User preference for the incumbent service appears to outweigh frictional barriers to access.

In new research in collaboration with Color of Change, Dante Donati and Lena Song find that comments on social media posts help drive platform engagement for organizations. However, comment sections are often populated by a vocal minority, and adversarial comments from them come with reduced off-platform support for the original posters.