"China joined the World Trade Organization in 2001, sparking a manufacturing surge for the country. China became the “world’s factory,” and its export rate grew 30% each year from 2001 to 2006, more than double the growth rate from the previous five years. While the U.S. reaped the benefits of cheap imports from its new normalized trade partner, the American manufacturing sector took a beating: China’s production explosion accounted for 59.3% of all U.S. manufacturing job losses between 2001 until 2019—about 4 million jobs."
"A quarter of a century later, some economists have compared this industrial transformation and today’s rise of AI. Like the China shock, AI growth has been associated with a shift in labor: Despite many economists seeing little , so far, of mass job displacement as a result of AI, tech companies have used the technology to justify laying off thousands of workers. Last month, Snap CEO Evan Spiegel announced the reduction of about 1,000 roles at the company, 16% of its staff. Klarna CEO Sebastian Siemiatkowski anticipates AI shrinking the company’s white-collar workforce by one-third by 2030."
"“The AI shock is following the same playbook,” Apollo chief economist Torsten Slok said in a blog post this past week. “The displacement force is different this time, impacting cognitive and white-collar work rather than factory floors. But every other element of the structure is remarkably familiar.” According to Slok, the shared themes of labor market upheaval between the AI and the China shocks may not be a bad thing."
China’s WTO entry in 2001 accelerated manufacturing expansion and exports, making China a major global production hub. U.S. consumers and firms benefited from cheaper imports, while American manufacturing employment declined sharply. Economists labeled the resulting labor-market disruption the “China shock,” attributing a large share of U.S. manufacturing job losses to China’s production surge. Decades later, some economists compare that transformation to the rise of AI. Even where broad mass job displacement has not yet appeared, companies have used AI to justify layoffs. Snap reduced roles, and Klarna expects AI to shrink its white-collar workforce by 2030. The comparison emphasizes different displaced tasks but similar underlying labor-market dynamics.
#world-trade-organization #china-shock #ai-and-labor-markets #manufacturing-employment #white-collar-layoffs
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