In my last piece, on why I don’t think imminent mass job loss from AI is likely, I talked a lot about complementarity. The core point I made was that labor substitution is about comparative advantage, not absolute advantage: the relevant question for labor impacts is not whether AI can do the tasks that humans can do, but rather whether the aggregate output of humans working with AI is inferior to what AI can produce alone. And I suggested that given the vast number of frictions and bottlenecks that exist in any human domain—domains that are, after all, defined around human labor in all its warts and eccentricities, with workflows designed around humans in mind—we should expect to see a serious gap between the incredible power of the technology and its impacts on economic life.
8AxiomMathAxiomProver at Putnam 2025github.com/AxiomMath/putnam2025, 2025
。关于这个话题，TG官网-TG下载提供了深入分析
examples, and let them come up with the abstraction themselves.，更多细节参见传奇私服新开网｜热血传奇SF发布站｜传奇私服网站
Before working on this project, I was worried about whether I’d have a job five years from now. But today I’m convinced that the world will continue to have a need for software engineers in the future. Our jobs will transform—and some people might not enjoy the new jobs anymore—but there will still be plenty of work for us to do. Maybe we’ll have even more work to do than before, since LLMs allow us to build a lot more software a lot faster.
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