The global artificial intelligence boom is reshaping China’s economic geography, creating a stark “split-screen” reality where a handful of high-tech boomtowns are surging ahead while traditional industrial heartlands fall further behind. The Japan Times reported that this widening divide is complicating Beijing’s efforts to manage a broader economic slowdown and transition the country toward high-quality growth.
The contrast is perhaps best illustrated by the divergent fortunes of two provincial capitals: Hefei in the east and Changchun in the northeast. Hefei, the heart of China’s memory-chip industry and home to leading tech firms, is struggling to keep up with the world’s appetite for AI hardware. Meanwhile, Changchun, a historic center for gasoline-powered car manufacturing, recently admitted to facing “unprecedented” economic difficulties.
The Rise of the AI Hubs
Cities like Hefei, Shenzhen, and Hangzhou are at the epicenter of China’s AI transformation. These tech hubs delivered their biggest share of China’s growth in at least two decades during the first half of 2026, according to data from Nomura Holdings.
The boom in Hefei is palpable. The city has aggressively positioned itself as a center for advanced manufacturing, particularly in semiconductors and electric vehicles. It is home to CXMT Corp, China’s leading memory chipmaker, which recently saw its shares soar 466% on its Shanghai trading debut. As covered in our report on CXMT’s record-breaking IPO, the insatiable demand for AI hardware is driving massive investments in local factories and research facilities, creating a localized economic supercycle.
These AI boomtowns are benefiting from a confluence of factors: strong local government support, a concentration of tech talent, and the massive influx of capital directed toward achieving technological self-sufficiency in the face of US export controls.
The Rust Belt Reality
The picture is vastly different in cities reliant on traditional industries. Changchun, the capital of Jilin province, has long been a powerhouse of internal combustion engine manufacturing. However, the rapid transition to electric vehicles and the broader economic slowdown have hit the city hard.
In a rare moment of official candor, local authorities in Changchun recently acknowledged “unprecedented” economic difficulties — a phrase that was quickly scrubbed from official documents after drawing widespread attention on social media. The struggles of Changchun reflect the broader challenges facing China’s rust belt, where legacy industries are shedding jobs and local governments are grappling with mounting debt.
The Automation Paradox
Even within the booming tech hubs, the benefits of the AI windfall are not evenly distributed. While corporate profits in sectors like chipmaking are soaring, China’s IC manufacturing sector posted a 2,579% profit increase in H1 2026, little of that wealth is trickling down to ordinary households.
In fact, retail sales are shrinking in several of these boomtowns. The paradox is driven by the very nature of the AI revolution: the factories driving the surge are highly automated, relying increasingly on robotics and temporary labor rather than creating a broad base of stable, high-paying manufacturing jobs. The wealth generated by the AI boom is highly concentrated among tech workers, executives, and investors, exacerbating income inequality even within prosperous cities.
This split-screen economy presents a complex challenge for policymakers in Beijing. The government must continue to support the high-tech sectors critical for national competitiveness, while simultaneously managing the social and economic fallout in regions left behind by the AI transition. As the AI race accelerates, bridging this widening divide will be one of China’s most pressing domestic priorities, and a test of whether the country’s state-directed development model can deliver broadly shared prosperity alongside technological supremacy.
The boomtown phenomenon is also a cautionary tale for the global AI narrative: the assumption that AI-driven growth will be broadly distributed is not supported by the evidence emerging from China’s own experience. The technology is concentrating wealth and opportunity in specific geographies and industries while leaving others behind. How governments respond to this concentration through redistribution, retraining, or regional development policy will be as consequential as the technology itself.
The Nomura data also raises a pointed question for Beijing’s economic planners: if the AI boom is generating record corporate profits while simultaneously shrinking retail sales and widening regional inequality, is the current development model actually delivering on the promise of “common prosperity”? The government has staked enormous political capital on the idea that technological leadership will translate into broad-based economic improvement. The emerging evidence from China’s own boomtowns suggests that this translation is far from automatic and that without deliberate policy intervention, the AI revolution may deepen the very inequalities it was supposed to resolve.
The boomtown data is a timely reminder that technological leadership and social equity are not the same thing, and that achieving both simultaneously will require a level of policy ambition that China has not yet demonstrated. The cities that are thriving today did so by making deliberate, decade-long bets on specific technologies, a model that the cities left behind cannot simply replicate overnight, no matter how much central government support they receive.