How Shenzhen Can Win the 'AI for Science' Race: Industrial Depth Over Copying Beijing and Shanghai
pstAsiatech · x · 2026-08-28
- Dr Shaoshan Liu of Shenzhen's AIRS institute argues in SCMP that the AI race is shifting from who has the largest model to who can use AI to shorten the discovery cycle: hypothesis, simulation, experiment design, equipment operation, and learning from results.
- The US made this explicit with the DOE's Genesis Mission, integrating 17 national laboratories to double US research productivity within a decade, plus a new partnership with Japan — AI for science is becoming infrastructure and a network.
- China is moving city by city: Beijing's 2025 plan targets common scientific-intelligence infrastructure, 10+ high-quality scientific databases, 10M+ users and 8+ benchmark applications by 2027; Shanghai's 'Hundred Teams, Hundred Projects' subsidizes up to 70% of approved investment, capped at 50M yuan.
- Shenzhen's trap is copying Beijing/Shanghai's research-focused model; its opportunity lies in leveraging industrial depth to become a premier global lab for AI experimentation and deployment.
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