Understand dependencies: Chinese models refuse to answer politically sensitive questions. US models are powerful, but the data is subject to US law. In May 2025, a US court ordered OpenAI to retain even deleted chat data as part of a copyright case. That shows the reality: if you use US services, you do not have full control over what happens to your data.
Know the alternatives: Open-weights models such as those from Mistral can run on your own hardware. For document summarization, code assistance, or internal knowledge search, they deliver useful results. For complex reasoning, US models are still ahead for now.
Build capability step by step: Do not wait for perfect alternatives to appear. If you build capability today, you will be able to switch providers tomorrow on your own terms — instead of starting from scratch:
- Pilot project: Start with a low-risk use case such as meeting transcription or simple summaries.
- Build expertise: Connect AI models to internal data sources, for example, for knowledge search or document analysis.
- Choose consciously: For complex tasks, weigh the tradeoff: do you accept data flowing to US providers, or lower quality from local models?
Outcome: You use AI deliberately, understand the risks of different models, and can switch providers when necessary.
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