Our core tenets for de-identification in AI data licensing

The End of Free AI: Protect Projects from Big Tech

A Dev.to post by Marcelo Cabral Ghilardi (CTO of Acertpix), published 2026-05-09, warns that the era of effectively "free" or very cheap AI API tiers from major technology firms is coming to an end. The author explains how free tiers historically drove adoption and created dependency, leading to vendor lock-in when providers change pricing, remove models, or alter terms. To mitigate risk, the post recommends two engineering strategies: embrace open-source models (examples cited: Meta's Llama line, Mistral) and local/alternative runtimes (Ollama), and implement an abstraction layer in application code to decouple business logic from any single AI provider. The piece is framed as practical guidance for developers building AI-backed products to reduce operational and commercial exposure to Big Tech changes.