Jeremy Kahn

AI Editor

Fortune

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Artificial Intelligence

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About Me

JEREMY KAHN is Fortune's award-winning AI Editor. He writes about artificial intelligence and other emerging technologies and su- pervises a team of reporters who cover AI. He also writes Fortune’s Eye on AI newsletter and cochairs its Brainstorm AI technology conferences. He is the author of the forthcoming book Mastering AI: A Survival Guide to Our Superpowered Future (Simon & Schuster, July 2024). Previously, he wrote about technology, in- cluding AI, for Bloomberg. His writing on a range of subjects has appeared in The New York Times, Newsweek, The Atlantic, Smithsonian magazine, The Boston Globe, and The New Republic. He lived in and reported from India between 2007 and 2011. He has also reported from Nepal, Sri Lanka, the Ivory Coast, Iraq, Venezuela, and most countries in Western Europe. He is a former managing editor of The New Republic. He holds degrees from the University of Pennsylvania and the London School of Economics. A native of Cleveland, Ohio, he now lives with his family in Oxford, England.

Hear My Insights

What Does Democratic Tech Look Like?

Amidst the backdrop of numerous elections unfolding worldwide, the intersection of technology and democracy takes center stage. From the risks of algorithmic biases, to concerns about surveillance, the need for technology that upholds democratic principles has never been more pressing. How can we ensure we design tech that empowers marginalized voices and fosters inclusion? How can it support citizens’ fundamental right to privacy? And how can governments develop frameworks that support these rights and values, rather than hinder them?

Can AI Help Us Speed Up the Energy Transition?

As machine learning models evolve and artificial intelligence becomes increasingly entrenched in society, the energy sector is also taking early steps to leverage this technology. The International Energy Agency reports that AI already serves over 50 diverse applications within the energy system, potentially reaching a market value of $13 billion. This raises crucial questions: From optimizing renewable energy integration to predicting maintenance needs, what are the potential uses of AI across our power systems? How can we foster AI capacity building in developing nations to ensure an inclusive, equitable and sustainable energy future? And given the computing power these algorithms need, how can we create (truly) energy-efficient AI solutions?