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: Education and Talent
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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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“Transformative AI will generate a genius supply shock: abundant, cheap, and fast agents that can outperform human beings across many domains. But society is likely to adapt too slowly to this remarkable but unfamiliar new capability,” wrote University of Toronto professors Ajay Agrawal and Joshua S. Gans in the introduction to their essay, “Transformative AI and…
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“Even as some instructors remain fervently opposed to chatbots, other writing and English professors are trying to improve them,” observed a recent New York Times article, “AI Is Coming to Class.” At the heart of the article is a debate now unfolding across higher education: whether— and how — university students should be taught to…
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“Americans have grown sour on one of the longtime key ingredients of the American dream,” said a recent NBC News article. “Almost two-thirds of registered voters say that a four-year college degree isn’t worth the cost, according to a new NBC News poll, a dramatic decline over the last decade. Just 33% agree a four-year…
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“Artificial intelligence is reshaping economic systems at a pace we have rarely seen in modern technological history,” wrote Frank Nagle in “Revealing the Hidden Economics of Open Models in the AI Era,” a blog posted in November of 2025. Nagle is Advising Chief Economist at the Linux Foundation and a Research Scientists at MIT’s Initiative…
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“AI capabilities have improved radically in recent years,” wrote economists Erik Brynjolfsson, Anton Korinek, and Ajay K. Agrawal in “A Research Agenda for the Economics of Transformative AI,” a recently published working paper. “Our institutions, organizations, skills, and economic models are struggling to keep pace. In this growing gap lie the greatest risks of the…
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“Will AI create a generation of non-thinkers?,” asked Bharat Chandar, — a postdoctoral researcher at the Stanford Digital Economy Lab, — in an essay published earlier this year in his Substack platform. In the essay, Chandar wrote about his concerns that a generation of students may not be able to develop the critical skills necessary…
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“As GenAI tools handle more routine programming tasks, the software developer’s responsibilities shift to supervising these tools,” wrote Carnegie Mellon University (CMU) professors Mary Shaw, Michael Hilton, and George Fairbanks in “AI Tools Make Design Skills More Important than Ever,” a column that will be published in the IEEE Software issue of Jan-Feb 2026. “Accordingly,…
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“The rapid rise of compound AI systems (a.k.a., AI agents) is reshaping the labor market, raising concerns about job displacement, diminished human agency, and overreliance on automation,” said “Future of Work with AI Agents,” a recently published paper by researchers from the Stanford Institute for Human-Centered AI and the Digital Economy Lab. “Yet, we lack…