Скачать или смотреть The Productivity Paradox Exposed AI Makes Workers Efficient, Then Replaces Them

Artificial intelligence is generating documented productivity gains of 10-55% for workers using AI tools, with some industries seeing productivity growth quadruple, yet these efficiency improvements aren't translating into higher wages or reduced working hours for most workers—instead, they're creating conditions for hiring freezes, eliminated entry-level positions, and wealth concentration. This video examines the AI productivity paradox through a class analysis lens, revealing how the 3.5x gap between productivity growth and wage growth since 1979 is accelerating under AI automation. We analyze who captures AI's economic gains (tech companies, early-adopter corporations, elite AI-skilled workers) versus who pays the cost (displaced workers, young graduates facing 25% reduced hiring, women in 79% high-automation-risk jobs), explore three future scenarios from managed displacement to shared prosperity, and expose the fundamental dynamic: productivity improvements under capitalism don't automatically benefit workers—they benefit whoever owns the means of production and controls distribution of gains, making AI not a neutral technology but a tool for restructuring class relations.