A seven-decade vision reaches its symbolic milestone, with AI and semiconductors at the center of what could become history’s most consequential economic pivot
In 1955, Mao Zedong made a remarkably precise prediction: it would take China 15 five-year plans to surpass the United States. Now, as Beijing unveils its 15th Five-Year Plan, that prophetic timeline has arrived—not with the revolutionary fervor of Mao’s era, but with server farms, semiconductor fabs, and AI models that are reshaping global technology.
The long game: Planning beyond election cycles
While Western democracies operate on election cycles—typically two to four years of policy whiplash—China’s planning apparatus thinks in generations. The current five-year plan doesn’t just map 2025-2030, but focuses on continuing to build the roadmap towards the 2035 goal of reaching “moderately developed country” status (GDP per capita around $20,000) and the 2049 centennial target of becoming a “fully developed socialist country.”
This temporal asymmetry matters profoundly for data and AI development. Training frontier AI models, building semiconductor supply chains, and developing data infrastructure require sustained investment horizons that quarterly earnings reports can’t accommodate. China’s system allows capital allocation decisions to span decades without political disruption—a competitive advantage that Western analysts consistently underestimate.
Capital vs. state: The fundamental difference
Understanding China’s AI and data trajectory requires grasping a fundamental inversion: in the United States, capital guides the state through lobbying, campaign finance, and regulatory capture. In China, the state guides capital through financial sector control, directed lending, and planning mandates.
Neither system is inherently superior, but they produce dramatically different outcomes. When the Chinese state decides AI development matters, major banks redirect lending, universities adjust curricula, and local governments compete to offer incentives. This coordinated response accelerates deployment but can also amplify errors when central planning miscalculates.
The data governance implication: China treats data infrastructure as strategic national assets requiring state coordination, while Western frameworks treat data primarily as corporate assets requiring privacy protection. These philosophical differences shape everything from cloud computing architecture to AI training datasets.
AI and semiconductors: The twin pillars of technological sovereignty
The 15th Five-Year Plan doubles down on AI and semiconductor development with an urgency that transcends previous iterations.
The semiconductor imperative reflects hard lessons from recent US export controls. China currently produces only about 17% of its consumed semiconductors domestically, creating dangerous dependencies. The plan prioritizes domestic chip manufacturing equipment, materials science, and advanced packaging technologies — the unglamorous infrastructure that makes AI possible.
The AI acceleration focuses on several distinct vectors:
- Large language models competitive with Western alternatives
- AI-driven industrial automation to combat manufacturing involution
- Data center infrastructure supporting domestic cloud computing sovereignty

The involution problem: When competition becomes self-destructive
Perhaps the most fascinating addition to China’s policy vocabulary is “involution” (内卷) – a term describing competition so intense it becomes counterproductive. Originally applied to education (leading to the ban on private tutoring in 2021), involution now describes key economic sectors where Chinese firms lead globally but generate minimal profits.
Consider the electric vehicle sector: Chinese manufacturers produced 9.5 million EVs in 2023, dominating global production. Yet brutal domestic price wars mean many companies operate on razor-thin margins. BYD, now the world’s largest EV manufacturer, succeeded precisely because it survived decades of this cutthroat competition — but countless competitors failed.
This involution extends to AI development, where dozens of Chinese companies are training large language models simultaneously, creating redundant infrastructure and fragmenting datasets. The plan seeks to consolidate resources without stifling the innovation that competition produces.

The domestic pivot: From export factory to consumer economy
A critical shift in the 15th plan involves rebalancing toward domestic consumption. For decades, China optimized for supply-side excellence,becoming the world’s factory. Now, with 120+ countries counting China as their largest trading partner, the strategy pivots toward demand-side development.
The data infrastructure implications are substantial: Supporting domestic consumption requires different technological architecture than supporting export manufacturing. This means:
- Retail and payment data platforms that dwarf anything in Western markets (China’s digital payment volume reached $70 trillion in 2023—roughly 50 times larger than the United States)
- Social commerce integration blending e-commerce, social media, and AI recommendations
- Smart city networks generating consumption data at unprecedented scale
- IoT ecosystems in housing, transportation, and healthcare creating new data streams

The low-altitude economy: Highways in the sky
While Western observers focus on semiconductor sanctions and AI development, China is placing billion-dollar bets on the “low-altitude economy”—dense networks of autonomous drones creating three-dimensional transportation infrastructure.
While this sound like science fiction, companies like EHang are already conducting commercial air taxi operations, while SF Express operates thousands of cargo drones. The plan envisions integrated airspace management systems coordinating millions of autonomous vehicles—a data processing challenge requiring real-time AI inference at massive scale.

What the world should watch
As this 15th plan unfolds, several indicators will reveal whether China’s vision materializes:
- Semiconductor self-sufficiency rates in advanced nodes (7nm and below)
- AI model performance on standardized benchmarks relative to Western alternatives
- Domestic consumption’s share of GDP (currently ~55%, targeting 60%+)
- Low-altitude economy deployment in tier-1 and tier-2 cities
- Export composition shifts from manufactured goods toward technology services
The 2035 checkpoint arrives in just 10 years—half the time it took smartphones to go from introduction to ubiquity. When Beijing telegraphs priorities decades in advance, the pattern is clear: they usually deliver.
The question for the rest of the world isn’t whether China will pursue these goals. The evidence from 75 years of planning cycles suggests they will. The question is whether other nations will respond with equivalent long-term vision or continue optimizing for the next election cycle while China builds highways in the sky.





