The question isn’t if we are in an “AI bubble,” but rather which of the multiple AI bubbles we are currently experiencing, each with its own expiration timeline. The AI landscape consists of three layers: wrapper companies, foundation model developers, and infrastructure providers, each facing unique risks and opportunities.
Wrapper companies, those repackaging AI tools with user-friendly interfaces, are most vulnerable to being absorbed or commoditized by bigger platforms. Many will fail between 2025 and 2026 as competition intensifies and margins shrink.
The middle layer encompasses foundation model creators like OpenAI and Anthropic, which have solid technological moats but face consolidation pressures. Efficiency in engineering and inference optimization will dictate the survivors by 2028.
Finally, infrastructure companies, including chip manufacturers and cloud providers, offer foundational support essential for all AI applications. This layer is least likely to face a bubble burst and is expected to retain long-term value despite potential short-term overbuilding.
This staggered collapse across layers will reshape the AI market. Builders should strive to move beyond wrapper roles to own workflows and user experiences, embedding defensibility and switching costs.
Summary:
AI is not a single bubble but multiple distinct ones across different AI ecosystem layers: fragile wrapper apps, consolidating model creators, and stable infrastructure builders. Wrappers will struggle soon, foundation models will consolidate, and infrastructure will endure, guiding strategic focus for startups and investors alike.
