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: Future of Work
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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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AI’s potential threat to programming has been widely debated over the past few years, as evidenced by the growing number of provocative headlines. For example, “The End of Programming” argued that “the end of classical computer science is coming, and most of us are dinosaurs waiting for the meteor to hit.” Other articles have predicted…
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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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“Artificial intelligence is shaping how many college students think about their academic paths,” said a recently published Gallup article, “College Students Weigh AI’s Impact on Majors and Careers.” Forty-two percent of bachelor’s degree students say AI has caused them to give serious thought to changing their major, including 13% who say they have thought about…
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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…
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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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The January 31, 2026 issue of The Economist included a special focus on the mounting anxiety about the social consequences of AI, with four articles devoted to the subject. “Solving fiendish maths problems, making complex medical diagnoses, conjuring up new software in moments: the feats of generative AI get more impressive by the day,” noted…
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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…