SHORTLIST
Cover of Co-Intelligence

Co-Intelligence

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Co-Intelligence by Ethan Mollick is one of 2026's most credible books, appearing on 2 of the year's most respected lists, including The Economist, McKinsey & Company, for a Consensus Score of 27 out of 100.

Appears on these lists

Our take

AI-drafted

Mollick, a Wharton professor who has spent the past two years publicly testing and blogging about large language models, writes less a technical explainer than a practical field guide, four rules for treating AI as a collaborator rather than a tool, built from his own classroom and workplace experiments. Reviewers consistently praised the accessible, jargon-free tone and the grounding in actual use rather than speculation. The recurring criticism was that the book stays close to the practical and skips deeper engagement with industry structure, labor impact, and regulation.

How the Consensus Score is calculated

Our Consensus Score is our own transparent editorial metric — not a user rating. It weighs each list by the credibility of its source, how recent the listing is, and any award status. Here is the full breakdown.

SourceAuthorityRecencyAwardContribution
The Economist0.950.701.00×0.67
McKinsey & Company0.800.701.00×0.56
Weighted sum → Score1.2327

Similar consensus books

Because they appear on some of the same lists.

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Frequently asked

What lists is Co-Intelligence on?

Co-Intelligence appears on 2 lists in our 2026 corpus, including The Economist, McKinsey & Company.

What is its Consensus Score?

Co-Intelligence has a Consensus Score of 27 out of 100, our transparent editorial measure of how many credible lists agree on it.