From KPIs to System Design — Interpreting the Next Phase
China’s deep-tech strategy is often described in terms of sectors, funding, or policy priorities.
But that view misses something more important.
What matters is not just what is being developed —
but how technologies are systematically moved into execution.
Over the past weeks, I’ve been working on a deeper analysis of this question:
China DeepTech 2030 — From KPIs to System Design
The core idea is simple:
China’s advantage in deep tech is not primarily about faster invention.
It is about how effectively the system translates technologies into deployment, integration, and scale.
The report looks at this through three layers:
• KPI system — what is measured and therefore prioritized
• execution pipeline — how technologies move from validation to scale
• system logic — how policy, infrastructure, and industry interact
Across sectors, a consistent pattern emerges:
Technologies are not evaluated based on novelty alone,
but on whether they move through the system.
This changes how competitiveness should be understood.
We are not only competing at the level of companies or technologies.
We are competing at the level of systems.
The full report breaks this down across:
- semiconductors
- AI
- biotech
- energy
- advanced manufacturing
- digital infrastructure
and analyzes how these systems are evolving toward 2030.