A look at how the printing press, mechanization, computing, and the internet reshaped labor markets, and what those patterns suggest about AI's impact on jobs today.
A grounded look at whether automation-driven job loss actually requires universal basic income, and what the funding math, pilot data, and labor economics really show.
A practical look at how AI is reshaping what skills matter, how learning happens, and what students, workers, and institutions should actually prioritize.
A clear-eyed look at how generative AI actually changes creative work — where it genuinely helps, where it falls short, and what that means for people who make things for a living.
A look at how AI companion apps work, why millions of people are forming relationships with them, and what that means for loneliness, labor, and social norms.
A clear breakdown of open-weight versus closed AI models, how each approach works, and what the tradeoffs mean for businesses choosing between them.
A plain-language look at sovereign AI — what it means for a country to control its own models, data, and compute, and why governments are racing to build it.
A practical look at how generative AI has changed the economics of misinformation, how detection tools try to keep up, and what organizations can do to defend against synthetic falsehoods.
A look at how AI-generated content is reshaping the attention economy, from infinite feeds to synthetic engagement, and what it means for creators, platforms, and businesses.
As cars, drones, and software agents make decisions without a human in the loop, the legal system is still built around the assumption that a person caused the harm. This piece breaks down how liability actually gets assigned today and where the gaps are.
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