A vendor-neutral enterprise architecture practitioner has published a 2026 agentic AI landscape mapping major AI vendors on two axes: enterprise trust (governance, data sovereignty, safety posture) and vendor lock-in at the AI/agent orchestration layer. The analysis cites Menlo Ventures late-2025 data showing Anthropic capturing ~40% of enterprise LLM API spend versus OpenAI's ~27% (down from ~50% in 2023), attributing the shift partly to OpenAI's governance trajectory and expanding lock-in strategy at the agentic layer. Structurally, the piece documents that agentic workflow entanglement, through proprietary orchestration frameworks, data gravity, and ecosystem bundling, is creating switching costs that compound faster than traditional SaaS, with multi-model strategies emerging as the enterprise hedge. For financial institutions, the lock-in dynamic and the trust-versus-flexibility trade-off are directly relevant to vendor due diligence, AI governance frameworks, and concentration-risk assessment in enterprise AI procurement.
509 other tracked developments touching the same claims.