Chinese AI chip champion Cambricon Technologies has set a target of more than 100 billion yuan (US$14.8 billion) in cumulative revenue over the next three years as the prerequisite for a proposed employee stock incentive plan — a nearly 20-fold increase from its previous 4.6 billion yuan goal set in 2023.
What Happened
Shanghai-listed Cambricon announced on July 28 that it plans to grant 5 million restricted shares — equal to 0.8% of total share capital — at a grant price of 750 yuan per share, according to stock exchange filings. The initiative covers more than 85% of its 1,107-person workforce, including board directors, senior executives, and core technical personnel.
The incentive plan is tied to specific revenue milestones: 13.5 billion yuan for 2026 alone, 40.5 billion yuan for 2026 and 2027 combined, and the 100 billion yuan threshold for the full three-year period. Cambricon shares traded at 1,146.90 yuan as of July 29, reflecting a market capitalisation of roughly 300 billion yuan.
The announcement marks the latest sign that domestic AI chipmakers are riding a historic market rally driven by surging demand for computing power and a government-directed pivot toward a localised semiconductor supply chain.
Why It Matters for Foreign Tech Companies
Cambricon’s revenue target signals the scale and speed of China’s push to develop domestic AI chip alternatives to replace those designed by US giant Nvidia. For foreign semiconductor firms, technology partners, and equipment suppliers, the implications cut across several dimensions:
- Domestic substitution is accelerating. A 20-fold revenue target implies Cambricon expects to capture significant market share from foreign suppliers in the Chinese AI chip market — estimated at $30–40 billion annually. Foreign chip designers should prepare for intensified competition across data centre accelerators, inference chips, and edge AI processors.
- Talent retention pressure is intensifying. Covering 85% of staff with stock incentives reveals the retention challenge Chinese AI chip companies face. Foreign firms hiring AI hardware talent in China should expect aggressive compensation packages and accelerated vesting structures from domestic competitors.
- Government backing provides a demand floor. Cambricon’s ambition is underwritten by state-linked procurement — data centre operators, cloud providers, and AI startups under government influence are incentivised to adopt domestic chips. Foreign semiconductor firms must factor policy-driven demand shifts into their China revenue projections.
What the Revenue Target Reveals About China’s AI Chip Strategy
Cambricon’s 100 billion yuan target is not merely a corporate ambition — it reflects a coordinated national push. The company’s shareholder base includes the Chinese Academy of Sciences (CAS), which founded Cambricon as a spin-out, and state-affiliated investment funds. Its customer pipeline is heavily weighted toward data centres operated by state-owned telecom carriers and cloud providers under government direction to procure domestic chips.
The company’s Si Pang (思元) series of AI accelerators targets the training and inference market currently dominated by Nvidia’s A100 and H100 series. While Cambricon’s chips do not match Nvidia’s performance on the most demanding large-language-model training workloads, they have achieved competitive performance on inference tasks — the faster-growing segment of China’s AI computing market, according to industry estimates.
Crucially, Cambricon remains on the US Entity List, restricting its access to advanced chip design tools (EDA) and foundry services from US-linked suppliers. The company relies on SMIC’s N+2 process (equivalent to 7nm) for its current generation chips, while competitors using TSMC’s 5nm and 3nm nodes maintain a process-technology lead. This gap makes Cambricon’s revenue target a direct bet on domestic advanced manufacturing catching up within the three-year window.
Market Context: China’s AI Chip Landscape
| Company | Focus Area | 2025 Est. Revenue | Valuation Signal |
|---|---|---|---|
| Cambricon | AI training/inference chips | c. 2.5B yuan | 300B yuan mkt cap, 100B yen target |
| HiSilicon (Huawei) | Ascend series AI accelerators | Est. 15-20B yuan | Dominant domestic player |
| Biren Technology | GPU-like AI computing | Est. 1-2B yuan | Pre-IPO, delayed by US sanctions |
| Enflame Technology | Data centre AI chips | Est. 0.5-1B yuan | Series D, Tencent-backed |
What Foreign Companies Should Do
For foreign semiconductor firms and technology companies with China exposure:
- Audit your China revenue dependency. If more than 15-20% of your AI chip or semiconductor equipment revenue comes from China, model a scenario where domestic alternatives capture 30-40% of that market within 2-3 years. Adjust sales strategy accordingly.
- Reassess partnership strategies. Direct sales to Chinese AI companies face increasing regulatory and reputational headwinds. Consider licensing, technology services, or foundry relationships rather than product sales — especially for chips above the US export control performance thresholds.
- Monitor export control compliance. Cambricon’s trajectory depends partly on access to advanced manufacturing nodes (7nm and below) through foundries like SMIC. Changes to US/EU/Japan export controls on semiconductor manufacturing equipment — particularly lithography tools and EDA software — directly impact Cambricon’s ability to deliver on its targets.
One Data Point
The number to remember: 20x — the multiple by which Cambricon has raised its three-year revenue target, from 4.6 billion yuan to 100 billion yuan, signalling the scale of China’s bet on domestic AI chip independence.
Where to Go From Here
Based on what you just read:
- Ready to act? Read [guide: china-semiconductor-market-entry-strategy]
- Still comparing? See [comparison: china-domestic-vs-foreign-ai-chip-suppliers]
- Need numbers? Try [tool: china-tech-export-control-compliance-checklist]
— China Gateway 360 —
Remote China market entry support, built around execution.
