Why Huawei's Homegrown AI Chip Isn't Closing the Gap With Nvidia

Huawei's push to develop its own artificial intelligence chip has failed to deliver the revenue growth its competitors are seeing, revealing just how difficult it is for Chinese tech companies to catch up with U.S. AI dominance even when they invest heavily in homegrown alternatives. Cloud computing revenue from external customers dropped 3.5% in 2025 to 32.16 billion yuan, or approximately 4.6 billion dollars, according to Huawei's annual report . This decline stands in sharp contrast to the double-digit growth rates that rival Chinese cloud providers are achieving, underscoring the challenges facing Huawei's strategy to reduce dependence on American technology.

What's Behind Huawei's Cloud Revenue Decline?

The slowdown centers on Huawei's ICT Infrastructure segment, which includes the company's self-developed Ascend AI chip designed to compete with Nvidia's offerings . This critical segment reported revenue growth of just 2.6% in 2025, down from 4.9% the previous year. The Ascend chip represents Huawei's most direct response to U.S. export controls that have restricted Chinese companies' access to the most advanced Nvidia processors. Yet despite years of development and significant investment, the chip has not generated the momentum Huawei needs to maintain its position as the second-largest cloud computing provider in mainland China.

The timing is particularly difficult for Huawei. Globally, cloud infrastructure spending surged 29% in the fourth quarter of 2025, marking the sixth consecutive quarter of growth exceeding 20 percent . Industry analysts predict 27% cloud growth in 2026. Meanwhile, Huawei's domestic competitors are thriving. Alibaba, the largest cloud provider in mainland China, reported a 36% increase in segment revenue to 43.28 billion yuan in 2025, while Tencent achieved a 22% year-on-year increase in business services revenue . The contrast highlights how Huawei's self-sufficiency strategy, while politically necessary given U.S. sanctions, has not translated into competitive advantage.

How Are Chinese Companies Adapting to U.S. Export Controls?

  • Diversifying Chip Sources: ByteDance and Alibaba are reportedly placing orders for Huawei's new AI chip, signaling that Chinese companies are willing to adopt homegrown alternatives even if they lag behind Nvidia in performance .
  • Securing Nvidia Access Through Partnerships: ByteDance is ramping up access to high-end Nvidia chips through a partnership deal involving a planned Malaysia data center, demonstrating how companies are finding workarounds to U.S. restrictions .
  • Investing in Cloud Infrastructure: Chinese tech giants are aggressively expanding their cloud and AI model services to capture growing domestic demand, even as they navigate the constraints of limited access to cutting-edge American hardware .

The broader context reveals a tech ecosystem under pressure. U.S.-developed AI tools are widely considered the most capable in the world, though some Chinese models have shown an edge in specific areas like video generation . Not all U.S. AI models are officially accessible in mainland China, creating a market opportunity for domestic alternatives. However, the performance gap remains significant enough that Chinese companies continue seeking ways to access Nvidia chips when possible.

What Does This Mean for Huawei's Long-Term Strategy?

Huawei's overall business performance in 2025 shows the company is recovering from the devastating impact of U.S. sanctions, which nearly halved its sales in 2021 . Total revenue reached 880.9 billion yuan, up 2% year-over-year, with net profit rising approximately 8% to 68 billion yuan. The company spent a record 192.3 billion yuan on research and development, representing 21.8% of revenue, underscoring its commitment to technological independence .

"In 2025, Huawei's overall performance remained steady," said Sabrina Meng, Huawei's rotating chairwoman.

Sabrina Meng, Rotating Chairwoman at Huawei

Yet the cloud revenue decline suggests that massive R&D spending alone cannot overcome the structural advantages of Nvidia's ecosystem. The Ascend chip may be technically competent, but it lacks the software maturity, developer community, and proven track record that make Nvidia's solutions the default choice for AI workloads. Chinese companies building AI applications face a difficult choice: use Huawei's chip and accept potential performance limitations, or find ways to access Nvidia hardware and risk regulatory scrutiny.

Huawei's consumer business also faced headwinds in 2025. Smartphone revenue grew just 1.6%, a sharp slowdown from 38.3% growth in 2024 . While Huawei ranked first in China by smartphone shipments, it lost ground to Apple following the iPhone 17's release. This suggests that even in consumer markets where Huawei has strong brand recognition, the company struggles to compete against U.S. technology when it relies on homegrown alternatives.

The company's automotive solutions unit remains a bright spot, with revenue of 45.02 billion yuan, though growth slowed to 72% year-over-year from a remarkable 474.4% in 2024 . This deceleration reflects the initial surge in electric vehicle adoption beginning to normalize as the market matures.

Huawei's experience illustrates a fundamental challenge in the U.S.-China tech competition. Export controls force Chinese companies toward self-sufficiency, but self-sufficiency does not guarantee competitiveness. Developing a chip that rivals Nvidia requires not just engineering talent and capital, but also years of refinement, software optimization, and ecosystem development. Huawei has the resources to continue this effort, but the 2025 results show that determination and investment alone cannot instantly close a technological gap that took Nvidia decades to build.