The three open agent protocols active in 2026 (Anthropic's Model Context Protocol, Google's Agent2Agent protocol contributed to the Linux Foundation, and Meta's Llama Stack) are not on a convergence trajectory, and the four major proprietary agentic platforms (Microsoft Copilot Agent, Salesforce Agentforce, SAP Joule, ServiceNow Now Assist) do not adopt any of the three as first-class defaults. The cost of being wrong on the model choice is low because swapping models is a configuration change. The cost of being wrong on the protocol choice is high because the locked asset is the tool inventory — the MCP servers, A2A endpoints, Llama Stack tool plugins, or proprietary extensions the customer has built or commissioned — and re-platforming the tool inventory is the long-tail engineering bill. Standard 2026 agentic AI MSAs do not include the three procurement clauses (protocol portability disclosure, tool inventory exit terms, protocol-roadmap commitment) that would price the protocol-roadmap optionality back to the customer.
Claim is scoped to the protocol-lock-in dimension of the 2026 enterprise agentic AI procurement decision. Does not assert the protocols are technically inferior or superior to one another — asserts that the fragmentation creates re-platform cost that most procurement processes are not modelling. 60-day review cadence. Trigger conditions: (1) MCP, A2A, and Llama Stack publish a converged or interoperable spec — would move toward Partial because the protocol fragmentation is closing structurally; (2) one of the four major proprietary platforms (Microsoft, Salesforce, SAP, ServiceNow) adopts MCP or A2A as a first-class default — would shift the lock-in calculus materially and reduce the per-platform tool-wrapper cost; (3) a published 2026 enterprise re-platform with a cost figure attached — would empirically anchor the 'tool inventory is the locked asset' argument; (4) an OWASP, NIST, or ENISA control set on agent-protocol risk — would change the audit picture and likely accelerate adoption of the three procurement clauses; (5) Llama Stack ecosystem growth (server count, library count, third-party tool support) reaching parity with MCP — would change the picking calculus for self-hosted-aligned customers.
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The claim: The three open agent protocols active in 2026 (Anthropic's Model Context Protocol, Google's Agent2Agent protocol contributed to the Linux Foundation, and Meta's Llama Stack) are not on a convergence trajectory, and the four major proprietary agentic platforms (Microsoft Copilot Agent, Salesforce Agentforce, SAP Joule, ServiceNow Now Assist) do not adopt any of the three as first-class defaults. The cost of being wrong on the model choice is low because swapping models is a configuration change. The cost of being wrong on the protocol choice is high because the locked asset is the tool inventory — the MCP servers, A2A endpoints, Llama Stack tool plugins, or proprietary extensions the customer has built or commissioned — and re-platforming the tool inventory is the long-tail engineering bill. Standard 2026 agentic AI MSAs do not include the three procurement clauses (protocol portability disclosure, tool inventory exit terms, protocol-roadmap commitment) that would price the protocol-roadmap optionality back to the customer.
About this register
The Reporting register tracks claims published from articles addressed to senior enterprise IT leaders — CIOs, IT directors, heads of platform. Claims are reviewed on a 30–90 day cadence; each review either reaffirms the claim, marks one substantive part as Partial, or marks it Not holding once the underlying evidence has been overtaken.
Recent corrections in Reporting
- AM-003 · Partial · 28 May 2026
Pricing/model drift: a $100/mo Pro tier now sits beside the $200 tier (added 9 Apr 2026) and the premium model is GPT-5.5 Pro. Core thesis holds; the single-$200-tier framing no longer matches. Re-verify current tiers at chatgpt.com/pricing.
- AM-002 · Not holding · 06 May 2026
URL state changed. The /the-agentic-ai-revolution-real-world-success-stories-and-strategic-insights-from-2024-2025/ slug now serves a deliberately rewritten retrospective (claimId AM-130, "Agentic AI 2024-2025 retrospective", published 04 May 2026) against audited primary sources. The 28 Apr 2026 redirect to /retractions/ has been lifted to allow that. AM-002 the claim remains Not holding — the original $3.50/dollar + 70% failure-rate framing was withdrawn and is not restored. AM-130 is a separate claim with its own evidence chain. Readers arriving at /holding/AM-002 see the withdrawal here; the article link surfaces the new piece at the URL the original lived at, with this entry as the audit trail.
- AM-121 · Holding · 2 May 2026
Klarna walk-back primary-source upgrade — added Siemiatkowski verbatim quotes via Bloomberg-cited-by-Fortune (9 May 2025) and the Uber-style freelance hiring detail via Entrepreneur. Closes the highest-priority evidence gap from the source dossier.
Reviews coming up in Reporting
- AM-136 · Holding · next +4d (4 Jun 2026)
Across the 24-month window May 2024 to April 2026, every major foundation-model provider (Anthropic, OpenAI, Google, AW…
- AM-020 · Holding · next +18d (18 Jun 2026)
The 40-60% TCO underestimate on enterprise agentic-AI deployments is not a cost-visibility failure — it is a cross-depa…
- AM-023 · Holding · next +18d (18 Jun 2026)
The 10 Apr 2026 Google AI Mode rollout to eight markets is the first vertical (restaurant booking) where agentic search…