Shenzhen Longhua District's 'AI Agent Top 10 Actions': Opening 100 Scenarios with Up to 4 Million Yuan Funding
Shenzhen's Longhua District has released a draft policy on 'Top 10 Actions for AI Agent and OPC Collaborative Development,' opening 100 AI application scenarios with up to 4 million yuan ($550K) in funding per project. The plan covers computing infrastructure (up to 3M yuan in compute vouchers), core tech R&D (50% cost coverage up to 1M yuan), algorithm registration rewards (up to 5M yuan), and public service platform construction (up to 20M yuan). The district already hosts 607 AI companies with 300 above-scale enterprises.
Local Government's Race to Capture the AI Agent Track
On March 10, Shenzhen's Longhua District released its draft policy on 'Top 10 Actions for AI Agent and OPC Collaborative Development,' one of the most systematic attempts by a Chinese local government to build an AI Agent industrial policy.
Comprehensive Ten-Dimension Coverage
The policy constructs a complete support system spanning computing infrastructure, scenario opening, base construction, competitions, enterprise cultivation, fund establishment, platform building, ecosystem empowerment, talent attraction, and literacy improvement.
Funding is substantial: up to 3M yuan in compute vouchers, 50% R&D cost coverage (max 1M yuan), 5M yuan for algorithm registration, 2M yuan for national AI innovation task leads, 20M yuan for public service platforms, and 4M yuan per scenario across 100 opened application scenarios.
OPC: A Notable Concept
The policy specifically references 'OPC' (One Person Company), linking AI agents with the 'super individual' concept. Longhua plans to fund tech startups receiving investment with up to 2M yuan, aiming to incubate AI-powered solopreneurs.
Industrial Foundation
Longhua already hosts 607 AI companies (300 above-scale), with 2025 industrial added value of 4.153 billion yuan. The ecosystem spans infrastructure (Powerleader, Huaao), technology (iFlytek, Furuimu), and applications (Foxconn Industrial, Meituan subsidiaries, LeeJu Robotics).
In-Depth Analysis and Industry Outlook
From a broader perspective, this development reflects the accelerating trend of AI technology transitioning from laboratories to industrial applications. Industry analysts widely agree that 2026 will be a pivotal year for AI commercialization. On the technical front, large model inference efficiency continues to improve while deployment costs decline, enabling more SMEs to access advanced AI capabilities. On the market front, enterprise expectations for AI investment returns are shifting from long-term strategic value to short-term quantifiable gains.
However, the rapid proliferation of AI also brings new challenges: increasing complexity of data privacy protection, growing demands for AI decision transparency, and difficulties in cross-border AI governance coordination. Regulatory authorities across multiple countries are closely monitoring these developments, attempting to balance innovation promotion with risk prevention. For investors, identifying AI companies with truly sustainable competitive advantages has become increasingly critical as the market transitions from hype to value validation.