If you are building an AI startup, be aware of this existential risk.

The AI startup world is buzzing with new ideas, especially those centered around Large Language Models (LLMs). However, a significant, often overlooked, risk is emerging for many in this sector.

Major AI labs are finding it increasingly difficult to remain profitable. Why? Because LLM-as-a-service is rapidly becoming commoditized due to intense competition.

Consequently, we observe a clear trend: leading AI labs are moving upstream to offer higher-level services to maintain their competitive edge.

Consider OpenAI Canvas. I recall someone at a workshop sharing an identical concept; he was even paying for it. Just one month later, OpenAI launched that exact feature, directly competing with the solutions they previously powered. This is not an isolated incident; numerous similar examples have occurred.

Recently, there’s been a massive demand for building applications with vibe coding.

Thus, it’s no surprise that Claude announced “Artifacts,” a new feature enabling users to build apps directly within Claude.

While Artifacts may not yet be as mature as existing options like Lovable, it wouldn’t be surprising if Anthropic develops it into a full-fledge, user-friendly app builder.

Therefore, if your AI startup relies on LLMs, this trend should serve as a serious warning. The future of AI innovation is not solely about utilizing core models. It also involves comprehending and adapting to the evolving strategies of the labs that create them. Success will hinge on your ability to differentiate and provide unique value that can withstand inevitable market shifts.

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