AI Funding Concentration Risks

The historic funding month was dominated by three massive deals: OpenAI raised $110 billion, Anthropic secured $30 billion, and Waymo brought in $16 billion. Together, these three AI-centric companies accounted for $156 billion of the total capital invested. To put the $189 billion figure into perspective, it shatters the previous single-month venture capital record of $78 billion set in November 2021. The February 2026 total alone represents more than half of the entire global venture investment for all of 2024, which was around $325 billion. This flood of capital into AI startups, which captured 90% of all funding, leaves other sectors facing the driest funding environment in years. While AI mega-rounds soared, overall seed-stage funding actually decreased by 11% year-over-year, indicating a severe contraction for early-stage companies outside of the AI infrastructure race. The investors behind these deals are not just traditional venture capitalists; they include major corporations and sovereign wealth funds. OpenAI's record-setting round, for instance, was backed by Amazon, Nvidia, and SoftBank, signaling a strategic push by established tech giants to secure their positions in the AI landscape. The immense capital is required to fund the compute infrastructure needed for training next-generation models. This translates into a massive physical footprint, with demand for power from AI data centers in the U.S. projected to grow more than thirtyfold by 2035. As a result, vacancy rates in key data center markets have hit record lows. This heavy concentration on a few core companies and infrastructure providers is raising alarms. Financial stability regulators warn that if a majority of institutions rely on foundation models from a handful of suppliers, it could create single points of failure and amplify systemic risks.