EmTech AI 2026 data shows three integrated platforms holding 78 percent of verified enterprise workloads

Conference sessions presented deployment telemetry from 142 enterprise participants indicating that integrated stacks from Microsoft Azure OpenAI, Google Vertex, and Amazon Bedrock captured the majority of new workloads between Q4 2025 and Q2 2026. Session logs showed average integration time dropping from 14 weeks for modular toolchains to 19 days inside single-vendor environments. No independent benchmark of latency or cost per token across these platforms was released.

The shift extends prior patterns visible in 2023-2025 SEC filings where the same three vendors reported 41 percent year-over-year growth in AI-related cloud revenue while open-source framework downloads plateaued. Developer ecosystem data from GitHub activity logs reveal a 37 percent decline in new projects using standalone model-serving libraries after January 2025. Smaller vendors face distribution constraints once API access requires platform-native identity and billing layers.

Operationally this locks model updates, observability hooks, and fine-tuning pipelines behind vendor-controlled runtimes. Procurement teams report contract terms now bundle reserved capacity with mandatory platform services, raising switching costs measured in both engineering hours and data egress fees.

Next measurable threshold is the Q4 2027 earnings cycle when the same three vendors must disclose whether platform-attached revenue exceeds 55 percent of total AI cloud billings.