Build on the Bubble: Why foundation model instability is the best thing that ever happened to enterprise AI

Amidst the rapidly evolving AI industry, foundation model companies like OpenAI and Anthropic are incurring significant losses by subsidizing the cost of their services to capture market share, supported by unprecedented venture capital investments. This economic model relies heavily on the assumption that enterprise adoption will eventually bridge the substantial gap between current revenues and the substantial infrastructure costs, which are currently inflated by capital recycling within the ecosystem. As these companies race against time to achieve profitability, they face the risk of consolidation, with potential failures or acquisitions anticipated by 2027. For enterprises building AI applications, this presents a unique opportunity to capitalize on subsidized compute resources without being exposed to the foundational layer's instability. The strategic focus for enterprises should be on building rapidly to leverage the current economic environment, while also preparing for a future where foundation model providers may consolidate or increase their pricing. This includes adopting model-agnostic architectures to manage risks associated with vendor dependencies, thereby ensuring sustained value capture from AI infrastructure investments.