ZTE's AI Security Push Pays Off as Computing Revenue Soars
ZTE Bets Big on AI Security with Co-Claw System
Telecom equipment maker ZTE is making serious moves in artificial intelligence, launching its Co-Claw AI Appliance to address growing enterprise concerns about AI security. The timing couldn't be better - the company's computing power business saw revenue jump an astonishing 150% in 2025.
Building an AI "Safe House" for Businesses
The Co-Claw system isn't just another AI product. It specifically targets the security vulnerabilities of open-source AI agents, offering companies a more controlled alternative. "Think of it as a armored car for your AI operations," explains one industry analyst. "ZTE's giving enterprises the confidence to deploy AI without losing sleep over data leaks."
Key features include:
- Local deployment options that keep sensitive data off the cloud
- Enhanced permission controls and security auditing tools
- Compatibility with the existing OpenClaw ecosystem
The Numbers Tell the Story
ZTE's strategic shift is delivering tangible results:
- Computing power now makes up 24.6% of total revenue
- Year-over-year growth in the sector hit 150%
- The company has launched multiple new AI hardware products alongside Co-Claw
"We're seeing traditional telecom players reinvent themselves," notes tech analyst Li Wei. "ZTE's computing power growth is outpacing its core business by a wide margin."
Why This Matters for the Tech Industry
ZTE's success highlights a broader trend in tech infrastructure. As AI demands grow, companies need both:
- Network muscle to handle massive data flows
- Computing power to process AI workloads efficiently
"It's a chicken-and-egg situation," says ZTE's Chief Technology Officer. "Better networks enable more AI applications, which then drive demand for even better networks."
Key Points:
- ZTE's Co-Claw system addresses security concerns in enterprise AI
- Computing power revenue grew 150% in 2025
- AI now accounts for nearly 25% of ZTE's business
- The company is positioning itself at the intersection of telecom and AI infrastructure
