In 2026 the enterprise-AI cost question that matters is total cost of ownership measured against realised ROI, not headline seat price; and across four independent datasets (Stanford DEL's 12% clearing 300%+ ROI vs 88% at or below break-even, McKinsey's 23% scaling and 17% self-reported EBIT, Gartner's 28% fully paying off, MIT NANDA's 95% of pilots with no measurable P&L impact) the high-return minority is separated from the majority by measurement discipline and operational preconditions, not by model capability or vendor choice.
Synthesis pillar resting on already-verified cluster claims: AM-029 (Stanford 12/88), AM-030 (McKinsey 23%), AM-033 (McKinsey 17% self-report nuance), AM-031 (CMU 30.3% capability ceiling), AM-132 (bimodal across four datasets), AM-165 (97/5 data-readiness allocation). No new primary sources introduced; every figure traces to a primary source carried by its anchor claim. 90-day cadence because the cost-evidence base shifts with new survey waves. Triggers: a new Stanford DEL / McKinsey State of AI / Gartner I&O / MIT NANDA release moving the bimodal percentages; a frontier-model generation collapsing the capability ceiling; a published cross-enterprise study showing model or vendor choice (not operational discipline) predicts the cohort split.
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The claim: In 2026 the enterprise-AI cost question that matters is total cost of ownership measured against realised ROI, not headline seat price; and across four independent datasets (Stanford DEL's 12% clearing 300%+ ROI vs 88% at or below break-even, McKinsey's 23% scaling and 17% self-reported EBIT, Gartner's 28% fully paying off, MIT NANDA's 95% of pilots with no measurable P&L impact) the high-return minority is separated from the majority by measurement discipline and operational preconditions, not by model capability or vendor choice.
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-020 · Holding · next +14d (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 +14d (18 Jun 2026)
The 10 Apr 2026 Google AI Mode rollout to eight markets is the first vertical (restaurant booking) where agentic search…
- AM-013 · Holding · next +14d (18 Jun 2026)
Q1 2026 is the quarter enterprise agentic-AI crossed three thresholds simultaneously — the first at-scale in-the-wild e…