Forbes March 2, 2025
Cornelia C. Walther

Have you ever had the feeling that you’ve heard a certain phrase before, even though it’s supposedly new? Or that a trending idea sounds eerily similar to something you read years ago? This sensation — call it déjà vu for ideas — has become increasingly common in today’s AI-driven knowledge landscape. It’s as if we are collectively trapped in a loop of recycled thoughts, repackaged insights, and predictable conclusions.

Picture this: You’re deep in conversation at a dinner party, debating the latest tech trend. Someone excitedly shares a “groundbreaking” perspective on the future of work — only for you to realize you’ve read almost the exact same argument, in almost the exact same words, in three different articles that week....

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