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Technology

AI Monopolists Could Be a Disaster for Workers

If artificial intelligence reshapes production across the entire economy, it could drive the cost of goods toward zero. But Yale SOM economist Fiona Scott Morton argues that if AI is captured by a small number of powerful firms, falling wages could coincide with persistently high prices, leaving workers far worse off.

An illustration of a robotic Monopoly man running across a cityscape with a bag of money
  • Building a For-Profit Health Model That Reaches the Poorest

    A wellness app created by Nneka Mobisson ’04 aims to help Nigerians manage chronic health conditions—while showing that for-profit innovation can make a difference for low-income populations.

    A group of women with mobile phones gathered around an mDoc staffer
  • ‘Tough Tech’ Requires a Different Kind of Venture Capital

    Engine Ventures, led by Katie Rae ’97, backs science-intensive innovation, including clean energy, quantum computing, and human health—an approach to venture capital defined by long timelines, deep expertise, and the potential for transformative impact.

    A D-shaped toroidal field (TF) magnet, welded into its stainless steel case and surrounded by the team who helped manufacture it, rests in a testing chamber at the Commonwealth Fusion Systems magnet factory.
  • How Millions of Simulated Maps Can Help Us Make Electoral Districts That Feel Fair

    Part of resolving the political redistricting stalemate, writes Professor Jamie Tucker-Foltz, is creating congressional maps that align with human intuition about fairness.

    Voters behind privacy screens in a polling place
  • Renewable Energy Is Easier Than Ever to Build—and Harder to Talk About

    Advances in technology and a maturing development ecosystem have made renewable energy more economical, less risky, and increasingly rewarding for landowners, says Reid Buckley ’89, a partner at Orion Renewable Energy Group. But it has also become more politicized.

    Cows grazing in front of wind turbines
  • This Is How the AI Bubble Bursts

    Yale SOM leadership expert Jeffrey Sonnenfeld and co-author Stephen Henriques write that the tangle of AI deals among tech giants could be signs of dangerous overinvestment in the developing technology. They outline three ways the bubble could pop.

    Samsung chairman Lee Jae-yong and OpenAI CEO Sam Altman shaking hands
  • Would Stricter Antitrust Rules Have Stopped the Rise of Amazon?‌

    In a new study, Prof. Edward A. Snyder and his co-authors consider whether current antitrust guidelines would have checked Amazon’s voracious appetite for acquisitions if they had been in place earlier.

    Amazon delivery vans lined up on a road
  • Tim Cook Is Still the Right Leader for Apple

    Yale SOM leadership expert Jeffrey Sonnenfeld and co-author Steven Tian argue that Cook’s unmatched track record makes him uniquely positioned to steer the company into its next phase of innovation and growth.

    Tim Cook at an Apple event
  • Can Mark Zuckerberg Spend His Way to AI Success?

    Meta has lured a string of top researchers from rivals with nine-figure pay packages in an effort to close the gap with AI leaders like OpenAI, Anthropic, and Google. But splashy hires rarely end up rescuing flailing enterprises, write Yale SOM leadership expert Jeffrey Sonnenfeld and co-author Steven Tian.

    Mark Zuckerberg demoing Meta's augmented reality glasses
  • Will Self-Driving Cars Lower Ride-Hailing Prices?‌‌

    Lower cost is one anticipated advantage of incorporating autonomous vehicles (AVs) into ride-hailing services. But a study co-authored by Prof. Zhen Lian suggests that lower prices will only materialize under certain market conditions, such as using a single app for both AVs and human drivers.‌

    A parking lot full of self-driving taxis
  • Who Is Responsible When AI Breaks the Law?‌‌

    Former Secretary of Homeland Security Michael Chertoff and Miriam Vogel, president and CEO of EqualAI, survey how AI both fits in and breaks existing legal frameworks. They argue that leaders need to be ready for the opportunities created by the novel technology and for potential legal pitfalls.‌‌

    A robot being questioned in a courtroom