Nvidia H200 Chips Still Not Sold to China...Chinese Chipmaker Horizon Robotic Launches 5-Nanometer chip...China’s Low Cost EVs to Be Fitted with “Lidar” Censors

Key Takeaways

• Nvidia's H200 AI chips still blocked from Chinese buyers
• Horizon Robotics' 5nm Starry chip offers 650 TOPS, 273 GB/s
• Chinese EVs may add lidar to $8,800 models this year
• DJI's new heavy‑lift drones carry up to 200 kg, priced $14‑20k
• China‑Japan flight cancellations hit 50%, tourism down 56%

Pulse Analysis

Export restrictions on Nvidia’s H200 chips illustrate the delicate balance Washington seeks between curbing military applications and preserving lucrative market access. While the licence granted in early 2026 theoretically opened the door, Chinese regulators have yet to approve purchases, leaving a high‑performance AI component unavailable to domestic firms. This impasse pushes Chinese AI developers toward homegrown alternatives, accelerating investment in indigenous semiconductor capabilities.

Horizon Robotics’ debut of the 5‑nanometer Starry 6P marks a significant stride in China’s automotive chip ecosystem. With 650 tera‑operations per second and 273 GB/s bandwidth, the processor integrates smart‑cabin and autonomous‑driving functions, directly challenging Nvidia’s Drive platform and Qualcomm’s Snapdragon Automotive. The move reflects a broader national agenda to reduce reliance on foreign silicon, especially as the country ramps up production of electric vehicles that now aim to include lidar sensors at sub‑$9,000 price points—a cost previously prohibitive for mass‑market models.

Beyond chips, China’s hardware landscape is diversifying. DJI’s introduction of 200‑kilogram payload drones expands its portfolio from consumer aerial photography to industrial logistics, tapping a market projected to exceed $10 billion globally. Simultaneously, heightened geopolitical friction has slashed China‑Japan air connectivity by nearly half, curbing tourism and business travel. Together, these trends reveal a China that is both confronting external constraints and aggressively cultivating domestic alternatives across AI, automotive, and aerospace sectors.