China's New 'Smart Trio' for Global Markets: Cars, Drones, Robots

From “South Seas” Letters to Silicon Bridges

A new film in Teochew dialect, Letter to Grandma, traces the memory of Chinese migrants who sailed to Southeast Asia between the 1940s and 1970s. They had no business strategy, no market research, no cross-border payment rails. All they had was grit and the paper letters—qiaopi (qiaopi)—that carried only reassurance, never hardship.

Fast forward to 2026, and a speaker at the EqualOcean Globalization Forum captured the shift in one line: “We no longer go to sea on sailboats. We connect the world with new energy, cloud computing, supply chains, and AI.”

That line, reported by 36Kr, frames a deep structural change in how Chinese companies go global. The old categories are giving way. First came home appliances and furniture. Then the “energy new trio”—EVs, lithium batteries, solar panels. Now, according to the same 36Kr report, a new trio is emerging: smart vehicles, low-altitude economy (drones and eVTOLs), and embodied intelligence (humanoid robots and AI agents).

This isn’t just a rebrand. It reflects a fundamental shift from exporting low-cost manufacturing to exporting integrated AI systems. And it matters far beyond Shenzhen.

The “New Trio” Has a Common Brain

The headline from 36Kr is provocative, but the substance is in the details. What makes these three sectors a coherent wave is not their hardware but their shared software stack. Bao Pengzhi, head of smart cockpit solutions at Yinjia Technology (yinjiakeji), told the forum that smart cars, low-altitude craft, and humanoid robots are all “intelligent moving bodies” with overlapping requirements in perception, positioning, and motion control.

Yinjia, which develops autonomous driving tech, has accumulated terabytes of real-world driving data across extreme weather and varied terrain. That data, Bao argued, is directly applicable to outdoor robots and drones, dramatically reducing the cost of overseas environment adaptation.

The takeaway: China’s lead in automotive AI can be leveraged into adjacent verticals at a pace and scale that Western incumbents cannot easily match, because those incumbents rarely have the same unified data pipeline.

Smart Cars: Not a Cockpit Plus a Chatbot

The most vivid evidence of this convergence came from Li Auto’s Livis Day event, covered by Leiphone (Leiphone). On June 15, 2025, CEO Li Xiang unveiled a sweeping vision: the embodied intelligent car. He defined it as a single agent combining four capabilities—an electric vehicle, a professional driver, an AI computer, and a life assistant.

The hardware centerpiece was the Mach M100 chip, which Li Auto claims is the world’s first dynamic data flow AI chip designed specifically for vehicles. But the more radical claim was philosophical: “Traditional smart cars are not truly smart,” Li said. “They are function-driven, serving specific scenarios. The real embodied intelligent car can protect humans, complete tasks independently, and outperform humans.”

This isn’t marketing fluff. At the China Auto Chongqing Forum, also covered by Leiphone, executives from Changan Auto, tier-1 suppliers, and tech companies converged on a similar diagnosis. Liu Yuxiang, Changan’s product planning director, stated flatly: “The next-generation car will no longer be considered in silos.” He described a future where chassis, powertrain, cockpit, autonomous driving, and cloud are no longer separate domains but elements orchestrated by a central brain.

What this means for Western auto executives: If Chinese OEMs are already building vehicles as unified AI systems rather than assembling components, the competitive gap isn’t just about cost. It’s about architecture. And architecture determines how fast features evolve.

The Export Reality Check: Three Constraints

Yet the road abroad is not paved with ambition alone. Renault’s China advanced technology head, Shao Xin, offered a sobering perspective at the EqualOcean forum. He described three binding constraints:

1. User cognition gap. Chinese consumers have been through PC, internet, mobile, and AI cycles; they accept rapid change and tolerate beta. In Europe, acceptance varies wildly: Nordic EV adoption is above 90%, while in Southern Europe many still see cars as pure transport tools with low appetite for intelligent features.

2. Regulatory asymmetry. China’s approach has been “develop first, regulate later.” Europe, by contrast, establishes rules before allowing new systems—especially for data privacy (GDPR), safety certification, and AI liability.

3. Phase mismatch. The first wave of Chinese automotive exports, still underway in 2025–2026, is dominated by hardware suppliers (battery, e-drive). The next logical wave should be software suppliers. But that wave is stalling, constrained by the first two factors.

Shao’s forecast: Chinese brands held about 6% of the European passenger car market in 2025, and may double to 12% by 2026, driven chiefly by BYD and Chery. But those gains are in battery-electric vehicles, not in the smart cockpit or autonomy subscription services that represent the high-margin future.

The Numbers Tell Two Stories

To see the divergence, consider the export figures cited in the 36Kr report:

Chery’s reliance on export is stunning: over 7 of every 10 cars go abroad. But these are predominantly value-tier vehicles. The real test will be whether these companies can sell the intelligent version of their vehicles—with OTA updates, subscription features, and seamless AI integration—at price points that sustain margins in regulated markets.

Low-Altitude and Embodied: The Next Export Frontiers

China’s low-altitude economy—drones, eVTOL air taxis, and delivery craft—is already a global force. DJI dominates consumer and commercial drones with over 70% market share. But the new wave, per 36Kr, is about exporting the AI layer: autonomous navigation in complex urban environments, beyond visual line of sight.

Embodied intelligence is earlier-stage but accelerating. Companies like Unitree, Agibot, and Fourier Intelligence have shown humanoid robots capable of factory tasks. The EqualOcean forum featured Yereth Jansen, a Shanghai-based brand and international communications expert, who said: “The biggest winners in Chinese robotics, drones, and AI glasses will be those that localize deeply—set up local companies and respect local consumers.”

That’s a gentle warning. Chinese tech companies have learned in smartphones and EVs that simply shipping hardware doesn’t build trust. Embodied AI, which touches human environments and even bodies, requires a different playbook.

What the Shift Means for Global Observers

Three implications stand out for Western investors, entrepreneurs, and policymakers:

First, the technology stack is being exported, not just products. When a Chinese lidar company also sells the perception algorithms trained on 100 million kilometers of Chinese road data, that’s a structural advantage. Western rivals will need to match not just hardware but data flywheels.

Second, the regulatory battle over AI in vehicles will intensify. The EU’s AI Act and UNECE’s regulations on automated driving are not yet designed for the rapid-iteration, over-the-air update model that Chinese OEMs embrace. Expect trade friction not over tariffs but over safety certification cycles and data sovereignty.

Third, the “new trio” will test whether Chinese firms can manage the transition from volume exporter to value exporter. The margin story is unattractive today: most Chinese EV exports sit below €30,000. The upgrade to software subscriptions and embodied AI features requires consumers to trust Chinese companies with their digital lives, not just their wheels.

A Quietly Radical Vision

The most striking thing about the 36Kr and Leiphone sources is that no one is arguing for incremental change. Li Xiang at Li Auto talks about giving vehicles “life.” Changan’s Liu Yuxiang says the car is becoming a “mobile intelligent agent.” Yinjia’s Bao Pengzhi argues that data from one domain—a car driving in a sandstorm in Inner Mongolia—can train a logistics robot navigating the port of Rotterdam.

That degree of technology reuse across hardware platforms is rare even in Silicon Valley. It suggests that China’s next global wave won’t be about cheaper goods. It will be about cheaper intelligence—and the willingness to embed it in anything that moves.

Whether global regulators and consumers open that door is the question that will define the next decade of China’s outward expansion. The old letter-writers crossed an ocean with nothing but hope. The new exporters carry terabytes of data, AI chips, and a conviction that intelligence is the ultimate export.