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April 20, 2026Nick Pavlinsky

The AI Cold War Is No Longer a Metaphor

Three of the biggest rivals in tech just formed an alliance.

OpenAI. Anthropic. Google.

All three announced on April 6th that they are pooling threat intelligence through the Frontier Model Forum to stop Chinese AI labs from stealing their models. This is the first coordinated intelligence-sharing operation between competing frontier AI labs. That alone should tell you how serious the problem has gotten.

What they are stealing, and how

The technique is called adversarial distillation. Flood a frontier model with queries through thousands of fake accounts. Use those outputs as training data. Build a model that replicates years of R&D at a fraction of the cost.

Anthropic caught it happening in real time. 16 million exchanges. 24,000 fraudulent accounts. Three Chinese AI firms named directly: DeepSeek, Moonshot AI, and MiniMax.

The scale was staggering. MiniMax alone drove over 13 million exchanges. Moonshot AI targeted Claude's agentic reasoning, coding capabilities, and computer vision across 3.4 million more. DeepSeek focused on reasoning capabilities and even sought help generating censorship-safe alternatives to politically sensitive queries.

This is not a hypothetical. It already happened.

What is changing

The response is already reshaping how frontier models get distributed.

Anthropic banned all Chinese-controlled entities from Claude entirely, including subsidiaries regardless of where they are registered. Any company more than 50% owned by entities in China, Russia, Iran, or North Korea is now prohibited. Anthropic's leadership acknowledged the decision would cost hundreds of millions in revenue.

Stricter access controls are coming across the board. Tighter terms of service. More scrutiny on high-volume usage patterns. The era of open, frictionless API access to frontier models is narrowing.

What this means for your business

If your product or workflow depends on these models, this is not a distant policy debate. It is an operational risk.

Three things to think about right now:

1. Audit your API dependencies. Know which models you rely on, how you access them, and what happens if terms change or access tightens. If you are using a third-party wrapper or reseller, understand their compliance posture.

2. Understand distribution risk. Frontier labs are moving toward stricter usage monitoring. High-volume, automated usage patterns will draw more scrutiny, even from legitimate users. Make sure your usage looks like what it is.

3. Build for flexibility. The companies that weather this shift well will be the ones that can swap between providers or run local models where appropriate. Architecture decisions you make now will determine how locked in you are later.

The geopolitics of AI are no longer background noise. They are shaping the tools you build with, the APIs you depend on, and the terms under which you can use them.

Plan accordingly.

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*Raptor Tech helps businesses build software and AI systems that are resilient, flexible, and built for what is coming next. If you need help auditing your AI stack or planning for tighter API landscapes, book a free consultation or call (561) 786-7926.*

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