AI Vendor Lock-In Escalates: Switching Models Now Costs More Than Most Expected
Enterprise AI buyers are discovering that swapping models isn't as trivial as they assumed. A new survey by Zapier — covering 542 US executives with active AI vendor contracts — reveals that nearly 90% believed they could switch AI vendors within four weeks, and 41% said they could do it in just 2–5 business days. Reality check: only 42% of organizations that attempted a migration report it went smoothly. The other 58% describe it as either failing outright or requiring significantly more effort than expected.
Why It's Hard
The root cause is layers of technical dependency: vendor-specific APIs, proprietary training data, custom tooling for model deployment, and deep integrations into existing workflows. As AI consultant Haroon Choudery put it: "Switching model vendors is no longer just an API migration. It is context, workflows, and institutional memory." He adds that most operators haven't even mapped these dependencies.
Price Hikes Are Coming
AI vendors are raising prices across the board. OpenAI increased the cost for developers using GPT-5.2 from $1.25 per input token (previous GPT-5.1) to $5.75. Anthropic confirmed a de facto price increase for its Claude enterprise edition on April 15, 2026, moving from fixed pricing to a dynamic usage-based model — experts expect this could double or triple costs for heavy users. GitHub Copilot is also affected: new subscriptions are unavailable, existing individual plans are seeing compute restrictions, and Opus model access has been dropped entirely.
These changes signal a broader shift toward token-based pricing and the end of fixed-price tiers across AI-integrated platforms like Microsoft 365.
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