AI Economics explains AI’s impact using an “incentive filter”: the idea that the real story isn’t just what the technology can do, but what people and organizations choose to do with it. It’s written for general interest readers and doesn’t assume deep AI knowledge. Some sections will feel especially illuminating even for people steeped in AI.
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Hi Product Hunt — I’m Ben, an economist, and I’m launching AI Economics.
Writing with AI isn’t new. What’s different here is (1) I’m unusually transparent about leaning into AI as a co-writing tool, and (2) I’m trying to show what “high-effort” AI-assisted writing looks like: lots of back-and-forth, human judgment, and serious editing.
Early research on AI-authored books suggests something like a “two-tier” outcome: average quality falls, but a few are high quality and improve welfare (Reimers & Waldfogel, NBER Working Paper 34777: https://www.nber.org/papers/w34777). My bet is that the difference is workflow—iteration + editorial rigor—rather than the model alone.
It’s written for general readers (no deep AI background assumed), though I think some chapters will still feel clarifying even if you’re steeped in AI.
If you take a look, I’d love feedback:
• Did the incentive lens help you see outcomes differently?
• Which parts felt most novel vs. most familiar?
• Where would you want more (or fewer) examples?