Enterprise AI Has a Trust Problem. We’re Hearing It Firsthand.

Enterprise teams are increasingly frustrated with AI coding tools due to vendor lock-in, opaque pricing, rate limits, and compliance constraints. Real-world examples include a major auto manufacturer hitting rate limits, a bank unable to use pre-negotiated model agreements, healthcare companies needing PHI-compliant routing, and a defense contractor requiring on-prem inference. Usage data from AI platform provider shows 46% of users now run models from multiple labs monthly, up from 29% six weeks prior. The post argues that model-agnostic, transparent infrastructure is becoming the enterprise default, and that frontier labs moving into tooling will only tighten constraints for those dependent on them.