According to @Andre_Dragosch, productivity gains from automation did not translate into shorter workweeks because inequality rose, implying robotics and AI may concentrate wealth rather than eliminate poverty, a narrative traders should monitor for macro risk signals (source: André Dragosch on X, Nov 20, 2025). Keynes did forecast major productivity growth, but distribution outcomes diverged as inequality increased across many economies, validating the distributional gap highlighted in this post (sources: J.M. Keynes, Economic Possibilities for our Grandchildren, 1930; World Inequality Report 2022 by World Inequality Lab). Empirical research links automation and industrial robotics to job displacement and wage polarization, reinforcing the inequality channel cited by Dragosch and its potential to elevate policy risk premia (source: D. Acemoglu and P. Restrepo, Robots and Jobs: Evidence from US Labor Markets, Quarterly Journal of Economics, 2020). For trading, policy-uncertainty spikes tied to automation and inequality debates have historically lifted cross-asset volatility while crypto has traded more in sync with tech stocks, so monitor AI/robotics regulation and redistribution policy headlines as volatility catalysts and tighten risk controls on BTC and high-beta tech when uncertainty rises (sources: S. Baker, N. Bloom, S. Davis, Measuring Economic Policy Uncertainty, 2016; IMF, Crypto Prices Move More In Sync With Stocks, 2022).