---
id: "action-research-ecosystems"
type: "action-item"
source_timestamps: ["¶23", "¶24", "¶25"]
tags: ["tech-scouting", "market-intelligence"]
related: ["framework-hybridization-steps"]
speakers: ["Amit Joshi", "Mark J. Greeven", "Sophie Liu", "Kunjian Li"]
action: "Establish a dedicated intelligence infrastructure and local scouting network to monitor Chinese AI developments and benchmark models."
outcome: "Continuous, accurate visibility into emerging Chinese AI tools, regulations, and partnerships, avoiding reliance on sparse Western media coverage."
source_url: "https://hbr.org/2025/09/how-savvy-companies-are-using-chinese-ai"
source_title: "How Savvy Companies Are Using Chinese AI"
sources: ["tail2"]
sourceVaultSlug: "hbr-seg-tail2"
originDay: 2
articleStem: "hbr-tail-123-using-chinese-ai"
sourceUrl: "https://hbr.org/2025/09/how-savvy-companies-are-using-chinese-ai"
sourceTitle: "How Savvy Companies Are Using Chinese AI"
---
# Build a Chinese AI Intelligence Infrastructure

**Action (Step 1 of [[framework-hybridization-steps]]):** Set up systems to monitor technological, regulatory, and application developments in China.

**Concrete tactics:**
- Monitor key **bilingual news sources**: Caixin, 36Kr, TechNode, Rest of World.
- **Benchmark major platforms firsthand** rather than relying on secondhand reports.
- Appoint **embedded local innovation scouts** to attend events like the **Shanghai World AI Conference**.

**Outcome:** continuous, accurate visibility into emerging Chinese AI tools, regulations, and partnerships — avoiding reliance on sparse Western media coverage.

**Enrichment tip:** extend monitoring to China's governance bodies — the **Cyberspace Administration of China (CAC)**, **TC260**, **BAAI's FlagEval**, and the **CAICT/AIIA AI Safety Benchmark** — since regulatory shifts directly gate what can be deployed.