Updated December 16, 2025: Five Years Later
I am resurfacing this post because it captures a moment when convergence became impossible to ignore. Long before the pandemic, my work focused on how multiple domains — science, technology, society, economics, geopolitics, philosophy, and environment — were beginning to move together, creating conditions where change felt faster, more uneven, and harder to predict. COVID-19 did not initiate that convergence, but it revealed it in compressed form. The systemic change series builds on this longer arc of thinking, extending beyond the pandemic to examine how these forces continue to interact and reinforce one another today. This post remains relevant not as a historical artifact, but as an early, real-time glimpse into dynamics that are still unfolding.
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The author explores a phenomenon that we have discussed many times over the centuries: Technological Unemployment. Drawing on almost a decade of research in the field, Susskind argues that machines no longer need to think like us in order to outperform us, as was once widely believed. The book describes a world where more and more tasks that used to be far beyond the capability of computers – from diagnosing illnesses to drafting legal contracts, from writing news reports to composing music – are coming within their reach. Mr. Susskind tells a compelling story to support his conclusion: the threat of technological unemployment is now real.
but the sheer number of