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Gpt 5,6,7: Does it even matter? The (ghost) productivity question. [D]

/u/Same-Club4925 2026年09月05日 04:02 1 次阅读 来源:Reddit r/MachineLearning

an observation : GPT-5-class models are genuinely capable(They are) of doing a substantial fraction of knowledge work, why haven’t we seen a noticeable productivity shock in the real economy yet? Is AI actually less economically useful than the benchmarks suggest—or are organizations simply too slow, constrained, and inefficient to turn model capability into measurable output? Are we confusing “AI can do the task” with “AI can replace the economic system built around the task”? If GPT-5 is already this capable, what exactly is the bottleneck preventing that capability from showing up in GDP and productivity statistics? My take : There is no question that these models are genuinely impressive. The question is whether that intelligence is actually translating into measurable economic productivity. People are already asking whether models like GPT-6 or equivalent. Claude, and Gemini will replace large sections of white-collar workers. I think there is a much simpler question we should ask first: if these models are already so capable (to me they definitely are capable enough) at a huge range of knowledge work, why haven't we seen a correspondingly obvious increase in productivity? I'm not even talking about GPT-6 or whatever comes next. It's probably too early to judge a newly released model. I'm talking about the current generation—GPT-5 and its equivalents from Google and Anthropic. These systems are genuinely good. They can write, summarize, analyze documents, explain technical concepts, generate code, reason through problems, conduct research, manipulate information and perform a remarkable range of tasks that previously required educated human labour. And yet, looking at the world around us, something feels strange. Where is the enormous productivity shock? Why don't we see a dramatic effect on GDP growth? Why don't we see massive increases in output per knowledge worker? Why don't organizations appear to be accomplishing dramatically more with the same number of

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