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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The Economics of Open Source in the AI Era
No comments on The Economics of Open Source in the AI Era“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…
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In May of 2025, Linux Foundation Research, the Eclipse Foundation, and the open source community GOSIM jointly organized the Open Source AI Strategy Forum in Paris. The Forum aimed to address the critical challenges facing collaboration in open source AI with global experts from industry, academia, open source communities, and foundations. Two months later they published…
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The September 16, 2023 issue of The Economist included a special focus on “How AI Can Revolutionize Science” with three articles on the topic. “Debate about artificial intelligence (AI) tends to focus on its potential dangers: algorithmic bias and discrimination, the mass destruction of jobs and even, some say, the extinction of humanity,” noted the issue’s…
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“Even in a world with AI superintelligence, one thing will be true: we will always have the responsibility to make tough decisions,” wrote Bharat Chandar, — a postdoctoral researcher at the Stanford Digital Economy Lab, — in “AI can’t make your toughest decisions.” “Nearly all consequential choices in life depend on a mix of two…
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Given that technologies have been automating human work over the past couple of centuries, — why hasn’t automation already wiped out a majority of jobs? Why are there still so many jobs left? The answer isn’t very complicated, although frequently overlooked, explained MIT economist David Autor in a 2015 article “Why Are There Still So…
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In December of 2024, the IBM Institute for Business Value (IBV) released “5 Trends for 2025” a report that examined how business leaders can empower people to innovate in the age of AI without putting the business at risk. “2024 was a year of letting go,” said the report in its Introduction. “As a combination…