IWB Blog
A collection of observations, news and resources on the changing nature of innovation, technology, leadership, and other subjects.
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Category: Innovation
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Earlier this year I wrote a blog about the continuing debate across higher education on whether — and how — university students should be taught to properly use generative AI, “How Should University Students Be Taught the Proper Use of AI.” I mentioned in the blog that the debate about AI reminds me of my…
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“Much of the effort and attention around AI for the last several years has been around technical developments,” wrote Babson College professor Tom Davenport in a recent Substack post, “The AI World Moves Toward Organizational Deployment.” “New model announced! New benchmark surpassed! New contract for massive data centers! New world-class technologists hired! You know the…
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A couple of weeks ago I posted “Why AI Can’t Replace Software Engineering,” a blog in which I discussed an important distinction that is often overlooked: software engineering is not synonymous with programming. I keep coming back to this topic because, in my opinion, the difference between programming and software engineering offers a particularly concrete…
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On May 5, 2012, I gave the commencement address at Penn State’s College of Information Sciences and Technology. Then Dean David Hall offered me excellent advice on what makes for a good commencement speech: make it personal, tell us about yourself and your background, share a few lessons you’ve learned over the years, and keep…
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The “2026 State of Tech Talent Report” was recently published by Linux Foundation Research. “Over the past several years, the Linux Foundation has surveyed hiring and training stakeholders to capture the state of the technical talent market amid technological shifts and economic changes,” wrote authors Adrienn Lawson, Marco Gerosa, and Anna Hermansen in the report’s…
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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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“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…