Irving Wladawsky-Berger
A collection of observations, news and resources on the changing nature of innovation, technology, leadership, and other subjects.
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Category: Artificial Intelligence
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“When Deep Blue, IBM’s chess-playing supercomputer, beat Garry Kasparov in 1997, computers were still just computers,” noted a recent NY Times Magazine article, “We Don’t Really Know How A.I. Works. That’s a Problem,” by freelance writer Oliver Whang. Deep Blue determined the best next move by simulating and assigning values to board positions up to…
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“AI agents — autonomous systems that perceive, reason, and act on behalf of human principals — are poised to transform digital markets by dramatically reducing transaction costs,” wrote Peyman Shahidi, Gili Rusak, Benjamin Manning, Andrey Fradkin, and John Horton in their recent NBER working paper, “The Coasean Singularity? Demand, Supply, and Market Design with AI…
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“Transformative AI has revolutionary potential,” wrote Stanford University postdoctoral fellow Gabriel Unger in “Economic Possibilities for Artificial Intelligence,” one of the 21 essays in Volume 2 of The Digitalist Papers — a roadmap of the relentlessly advancing capabilities of the AI revolution. Unger adds that the AI revolution has arrived at a particularly significant moment. “America…
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Over the past few years, I’ve written a number of posts on the potential economic impact of artificial intelligence. One theme that has consistently stood out is the wide divergence of views on how transformative that impact will be. While there is broad agreement that AI capabilities are advancing rapidly, there is far less agreement…
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“New technologies don’t emerge in a vacuum,” wrote Sarah Friar, Chief Financial Officer of OpenAI in “The Democratizing of Intelligence,” one of 21 essays in The Digitalist Papers Volume 2, — a roadmap of the relentlessly advancing capabilities of the AI revolution. “In the beginning, they often reflect and amplify the inequalities of their time —…
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A few weeks ago, the Stanford Institute for Human-Centered Artificial Intelligence (HAI) released the 2026 AI Index Report, its ninth annual analysis of the impact, progress, and trends of AI. Led by an interdisciplinary group of experts from across academia and industry, the AI Index offers one of the most comprehensive, data-driven views of the…
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Executives have long relied on simple categories to frame how technology fits into organizations: tools automate tasks, people make decisions, and strategy determines how the two work together. But the rise of agentic AI is beginning to blur these familiar distinctions. As noted in “The Emerging Agentic Enterprise: How Leaders Must Navigate a New Age…
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Earlier this year, the National Academies of Sciences (NAS) released “How Is AI Shaping the Future of Work,” a video podcast and accompanying transcript of a conversation between MIT economist David Autor and writer Sara Freuh in Issues in Science and Technology, a quarterly journal jointly published by the NAS and the University of Arizona.…
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In a recent Harvard Business Review (HBR) article, “When Using AI Leads to ‘Brain Fry,’” participants in a research study conducted by the Boston Consulting Group described experiencing “a mental fog with difficulty focusing, slower decision-making, and headaches” due to excessive use or oversight of AI tools beyond their cognitive capacity. The article’s authors —…
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“Agents will be embedded in business processes with direct impact on operations, data, and compliance,” wrote Eric Broda and John Y Miller in “KYA — Know Your Agent,” a recent article in their Agentic Mesh Substack. Broda is the founder of Broda Group Software, co-founder of The Agentic Mesh Company, and co-author of Agentic Mesh,…