The Hidden Cost of AI Model Lock-In: Why Smart Teams Are Moving to Unified AI Gateways
The AI infrastructure conversation in 2025 has largely been about which model to use. GPT-5 or Claude 4? Gemini or Llama? But the teams actually shipping AI products at scale have moved past that question. The smarter question is: how do you build infrastructure that doesn't force you to choose?
Most serious AI applications today don't run on a single model. They can't afford to. Here's why:
Reliability. Any single AI provider goes down. OpenAI has had multiple high-profile outages. Anthropic has rate-limit events during peak demand. If your application is built on a single provider, you inherit all of their reliability problems as your own.