The Cost of Switching: An AI Lock-In Experiment

What happens when you try to walk away from the AI you’ve been using every day for two years?

This six-part series explores my personal attempt to switch from ChatGPT to Claude and/or Google Gemini. On the surface, the costs seem small, just $20/month per subscription. All three of the services have a $20 plan that gives you much more than the free version without breaking the bank. But the real price showed up in hidden places: the technical work of moving data, the cognitive effort of relearning a new tool, and the trust I had built with my existing workflow.

Alongside my story, I’ll weave in research on AI adoption, trust gaps, market fragmentation, and organizational inertia. Together, these posts offer a window into why vendor lock-in is so powerful in the AI era and what it means for individuals and organizations navigating this.

My working outline:

  1. The Experiment: Can You Really Switch AI Tools?

  2. The Illusion of Portability

  3. Trust and the “AI Fluency” Lock-In

  4. Fragmentation vs. Convergence: Too Many Choices

  5. The Organizational Dimension: Shadow IT and Inertia

  6. So, Was the Juice Worth the Squeeze?

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The Cost of Switching: An AI Lock-In Experiment (Post 1 of 6)

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From Deploy and Forget to Continuous Stewardship: Lessons from the GPT-5 Rollout