AI concentration raises new questions
The Wall Street Journal reports that OpenAI’s growing dominance—powering countless apps, enterprise tools, and developer APIs—has reached systemic scale. The firm now anchors much of the global AI stack, from model supply to inference infrastructure. This concentration has drawn comparisons to finance and telecom giants once considered “too big to fail.” The cost of training frontier models, and the vast compute they require, keeps competitors thin and dependencies deep.

Risks, regulation, and resilience planning
Analysts warn of potential shocks: soaring compute prices, regulatory crackdowns, or internal governance turmoil that could ripple across dependent businesses. If OpenAI faltered, thousands of services could stall overnight. Experts urge organizations to diversify—adopt multi-vendor strategies, maintain exportable architectures, and plan for outages like any critical utility. Transparency on model updates and liability standards will be key. The debate marks a turning point for AI maturity: innovation remains vital, but resilience may define who endures the next disruption.