Artificial Intelligence

The United States power grid is increasingly strained by the surging electricity demand driven by the AI boom. Efforts to modernize the power infrastructure are unlikely to keep pace with the rising demand in the coming years. Barak and Eli Orbach explore why competition in AI markets may create an electricity demand shock, examine the associated social costs, and offer several policy recommendations.

Johannes Fritz and Tommaso Giardini examine the state of AI rulemaking around the world and find that, despite global alignment on principles, execution at the national level diverges on three important metrics. The risk is fragmentation in AI as firms choose to exclude entire markets rather than navigate the intricacies of compliance in different regions.

Matt Perault writes that there is little indication that Big Tech investments in artificial intelligence startups are harming competition. In fact, the opposite is likely true. Antitrust regulators should instead focus their attention on the real threat to AI competition: rules and regulations that will make it harder for startups that to compete with large tech companies.

Artificial Intelligence (AI) is poised to permeate across different industry sectors, offering unprecedented opportunities alongside significant risks. Effective governance necessitates coordinated cross-border efforts to build institutional expertise, dispel misconceptions, foster innovation, and align global safety priorities. Advocating structured dialogue and a bottom-up approach, Oscar Borgogno and Alessandra Perrazzelli present a proposal which aims to avoid institutional redundancy and legal unpredictability for individuals and firms.

Fiona Scott Morton and David Dinielli show how landmark antitrust cases historically have cleared the path for innovation in the next “frontier technology.” But with closing arguments in the search monopoly case just days away, Google threatens to evade this round of rigorous new competition. It reportedly is in talks to place its own artificial intelligence tool on Apple devices as it did in the case of search. Such a maneuver would entrench Google’s search monopoly and place Google in the driver’s seat to steer the development of consumer-facing AI. The authors offer up a menu of steps the government might take now to thwart Google’s new anticompetitive strategy and preserve competition in AI before it’s too late.

A growing number of companies offer artificial intelligence-powered revenue management platforms, which leverage big data and sensitive business information from multiple firms to optimize pricing, output, and other operational decisions for their clients. Over the past 18 months, dozens of antitrust lawsuits have alleged that such platforms facilitate price-fixing among rivals. Barak Orbach explores the strength of the allegations and the antitrust implications of such revenue management platforms.

Environmentally conscious critics of artificial intelligence worry about the massive amounts of energy and fresh water its data centers require. Alessio Terzi writes that in the long term, and with the help of government regulation, the benefits of AI-accelerated innovation will outweigh the short-term environmental costs we now observe.

Elon Musk recently sued OpenAI over claims that the company has strayed from its social mission and has instead focused on profit maximization. Roberto Tallarita examines how Musk’s lawsuit shows well-intentioned corporate planners how hard it is to commit to an effective and enforceable social purpose and warns policymakers that relying on corporate self-regulation of AI could be a fatal mistake.

Luigi Zingales argues that Elon Musk is right to sue OpenAI and CEO Sam Altman, given the economic principles at stake.

Three artificial intelligence experts at the University of Chicago disclose the trends and issues regarding AI that they'll be watching for in 2024.