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knowledge.wharton.upenn.edu
Newest story built on knowledge.wharton.upenn.edu reporting: Wharton economists model AI traders that coordinate through prices without exchanging a message (October 13, 2026). knowledge.wharton.upenn.edu reporting informs the Leadership desk, most often on Agentic AI and tool use, AI and financial stability, and AI and the Future of Work. 12 of our current stories draw on it, the earliest from September 1, 2026.
Wharton finance professors Itay Goldstein and Winston Dou argue that agentic AI traders can coordinate through prices alone, with no messages exchanged. They say the result could be bubbles that hit retail investors especially hard.
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People in a Wharton-led study set the smallest worthwhile gift about 70% above what recipients would accept, so many holding only a small sum gave nothing. For anyone running a giving drive, the authors' field test shows a lower ask brings in more contributors while pulling gifts down toward the amount asked.
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Commercial AI models refused every query from Hugging Face's breach responders, Veracode's Chris Wysopal wrote, forcing them onto a self-hosted Chinese model. Security leaders now have to settle which AI model their responders can use before an intrusion starts.
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Wharton's Peter Cappelli and Jasmine Wu interviewed 760 staff at a global financial services firm and found remote and hybrid work cut colleague contact. The evidence comes from one firm, but it gives managers who treat hybrid work as settled a reason to re-examine what it costs in collaboration and training.
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Exequiel Hernandez matched 5,388 geocoded ICE raids to card transactions at 1.1 million locations and found weekly spending down 6.18% against a 2.73% drop in visits, with no recovery over time and no move to delivery.
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R. Jisung Park says the damage from warming shows up as more on-the-job injuries, delayed trains and lost productivity on days too ordinary to make the news, and some of those injuries happen indoors.
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Sarah Breeden, the Bank of England's deputy governor for financial stability, has given a public account of a long and benign period of AI use inside London firms. She is now watching agentic systems.
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Wharton's Scale of Agency Decay runs experimenting, integrating, relying, depending. The account details the first two, and its usable marker is whether people still overrule a system that contradicts them.
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Wharton has put the head of Goldman Sachs's research data strategy team on a panel about AI and quantitative finance, and that job title says more about how these desks will hire than the published transcript yet does.
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Over 60% of employers told the World Economic Forum that creative thinking and resilience will matter more by 2030. The essay quoting that figure locates the cause in childhood development, which leaves next year's training budget unaddressed.
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The working paper puts one standard deviation of greenhushing at 2.29 percentage points of three-month abnormal return, about $238m for its average firm, with conduct measured by third-party sentiment rather than an audit.
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The Wharton model works backwards from the spending to find the productivity gain that would justify it. The answer is 2.7 times per boom, and its authors say the five firms making that bet face solvency risk if it misses.
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