Jordan Schneider dismantles the comforting American assumption that China's embrace of artificial intelligence stems from technological utopianism, arguing instead that it is a trauma response forged in the fires of the 1990s economic collapse. While Washington frets over AI-induced joblessness, Schneider reveals a society that has already lived through a far more brutal industrial reckoning, teaching its citizens to view disruption not as a crisis to be halted, but as an inevitable force to be survived. This is not a story about a rival superpower's optimism; it is a mirror reflecting the painful cost of the very market forces the West now seeks to regulate.
The Myth of Enthusiasm
Schneider begins by dismantling the polling data that suggests Chinese citizens are simply more open to automation. He notes that while over 85% of Chinese respondents view AI as beneficial compared to less than 45% in the United States, this "optimism" is a misreading of a deeper societal conditioning. The core of his argument is that this acceptance is not born of faith in the technology, but of a historical memory where resisting change was never an option. As Schneider writes, "The answer is not a narrative about AI, but about an earlier transformation also perceived as inevitable." This reframing is crucial because it shifts the analytical lens from cultural preference to structural necessity.
He draws a sharp distinction between the American desire to pause or regulate AI and the Chinese historical reality where slowing development was never a viable policy choice. The administration's historical narrative, rooted in the fear of falling behind, dictates that progress must be pursued regardless of the human toll. Schneider captures this mindset perfectly: "For China's policymakers, slowing development was never an option." This historical imperative explains why the public tolerates the churn of automation; the alternative, in their collective memory, is stagnation and national vulnerability. Critics might argue that this view underestimates the genuine excitement for tech in China's booming coastal cities, but Schneider's point is that even that excitement is underpinned by a fear of being left behind.
"Accurately interpreting that response — which is often misleadingly called 'enthusiasm' — is essential to understanding that worried Americans watching China's AI frenzy might not be looking at a rival but into a mirror."
The Ghosts of Shenyang
To understand the Chinese psyche, Schneider takes the reader to the rust belt of the northeast, specifically the city of Shenyang, once known as the "Eastern Ruhr." He details the catastrophic collapse of the state sector in the late 1990s, a period known as xiagang, or "stepping down from the post." This was not a gentle transition; it was a systemic dismantling where over 24 million workers lost their jobs, and entire cities like Shenyang saw half their industrial workforce laid off in a few years. Schneider notes that in Liaoning province, the state was laying off nearly 1,700 workers every single day.
The human cost was absolute because the danwei, or work unit, was not just an employer but a total social world providing housing, healthcare, and identity. When the factories closed, the social fabric unraveled. Schneider recounts the harrowing fieldwork of economist Wu Xiaobo in Shenyang, who documented families folding poison into dumplings and workers lying on railway tracks. "For many workers in the northeast, employment was everything," Schneider observes. The loss of a job was a loss of dignity, community, and the very definition of being a "master of the nation." This historical trauma explains why the current generation does not panic at the prospect of AI replacing jobs; they have already survived the moment when the state told them they were surplus.
The Social Darwinist Turn
The article's most chilling insight is how this economic shockwave reshaped the moral compass of the nation. As the northeast collapsed while the coastal Pearl River Delta flourished, a brutal social Darwinism took root. Those who succeeded in the new economy viewed the failures of their neighbors not as victims of structural forces, but as individuals who lacked the grit to adapt. Schneider writes, "The paradox of the era was that as much of China's population was losing jobs, an emerging group of poor people... was growing rich overnight."
This created a culture where the burden of failure was internalized. In rural Liaoning, villagers looked down on neighbors who could not find work overseas, asking, "why have others gone overseas successfully but you can't?" This mindset, Schneider argues, is now the default response to AI: if the technology takes your job, it is your fault for not being skilled enough to pivot. The state attempted to cushion the blow with re-employment centers and microloans, but as Schneider points out, "the scale of the problem overwhelmed the response." Funds were embezzled, and the mismatch between old industrial skills and new market demands left millions behind. The lesson learned by the survivors was that the system is relentless, and the only permissible response is to adapt or perish.
"In a society that for decades had told them workers were the masters of the nation, the sudden sense that they were surplus, inefficient, and unwanted imposed a burden that no severance payment could address."
Bottom Line
Schneider's most powerful contribution is exposing the "optimism" around Chinese AI not as a cultural trait, but as a scar tissue formed by the xiagang era. The argument is strongest in its historical grounding, using the specific tragedy of Shenyang to explain a national attitude that baffles Western observers. However, the piece risks overgeneralizing a complex, diverse population into a single monolith of trauma, potentially overlooking the genuine, unburdened excitement of China's digital-native generation. The takeaway for the busy observer is clear: when the West debates pausing AI, it is debating a luxury that a society which has already endured the collapse of its entire economic foundation simply cannot afford. The real story isn't about the technology; it's about the price of survival.