---
id: "framework-3c"
type: "framework"
source_timestamps: ["§ The 3C Framework"]
tags: ["ecosystem-analysis", "strategic-framework"]
related: ["concept-3c-framework", "concept-customization-infrastructure", "concept-cost-leadership-ai", "concept-calibration-real-world"]
source_url: "https://hbr.org/2025/09/how-savvy-companies-are-using-chinese-ai"
source_title: "How Savvy Companies Are Using Chinese AI"
steps: ["\\\"Customization: Building modular", "adaptable infrastructure tuned to local technical", "regulatory", "and operational needs (e.g.", "vertically integrated hardware/software).\\\"", "\\\"Cost Leadership: Leveraging mature solutions and constraint-driven ingenuity to deliver high-performing models at a fraction of the cost", "prioritizing business outcomes over frontier research.\\\"", "\\\"Calibration: Rigorously testing and iterating models to ensure they are practically effective in real", "dynamic environments (e.g.", "massive context windows for document-heavy sectors).\\\""]
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"
---
# The 3C Framework (Roadmap)

The **3C Framework** is the analytical roadmap for understanding the dynamics of the Chinese generative-AI ecosystem, viewing its technical variations as *strategic alternatives* designed to maximize efficiency, prioritize real-world relevance, and embrace divergence. For the conceptual treatment see [[concept-3c-framework]].

**The three pillars, in sequence:**
1. **Customization** → build modular, adaptable infrastructure tuned to local technical, regulatory, and operational needs — e.g., vertically integrated hardware/software. Detail: [[concept-customization-infrastructure]]; enabler: [[concept-vertically-integrated-ai]].
2. **Cost leadership** → leverage mature solutions and [[concept-constraint-driven-innovation|constraint-driven ingenuity]] to deliver high-performing models at a fraction of the cost, prioritizing business outcomes over frontier research. Detail: [[concept-cost-leadership-ai]].
3. **Calibration** → rigorously test and iterate models so they are practically effective in real, dynamic environments — e.g., massive context windows for document-heavy sectors. Detail: [[concept-calibration-real-world]].

Read together, the 3Cs explain *why* the ecosystem diverges (quote [[quote-not-a-clone]]) and set up the executive response: the [[framework-hybridization-steps|3 Steps to Navigate AI Hybridization]].