The 12/88 bimodal distribution in enterprise agentic AI ROI realisation (Stanford DEL 2026 + cross-validated by Gartner, McKinsey, CMU) is a governance-discipline outcome, not a model-capability outcome. The 12% instrument the six GAUGE dimensions on a 90-day review rhythm; the 88% treat governance as a deliverable to the audit committee. Capability gap (CMU's 30.3% best-in-class task completion) constrains what is possible, not what separates the 12% from the 88%.
Re-review 10 Jun 2026: the attributed primary source does not contain the 12/88 distribution. Full text of the Stanford DEL Enterprise AI Playbook (Pereira, Graylin, Brynjolfsson, Apr 2026, 116 pp) was extracted and searched: no 12/88 bimodal ROI distribution, no 300%-plus ROI cohort, no at-or-below-break-even body, no 12-18-month ROI measurement point. The report studies 51 successful deployments by design (agentic implementations are 20% of cases, 71% median productivity gain) and structurally cannot produce a deployment-failure distribution. No other Stanford DEL publication carrying the figure was found. The cross-validation sources show a small-tail shape (Gartner Apr 2026: 28% of AI I&O projects fully pay off; McKinsey Nov 2025: 6% high performers) but none produces a 12/88 split. The interpretive frame (governance over capability) survives only where anchored to verifiable figures in adjacent claims.
Correction log
- 10 Jun 2026Primary-source verification failed on the headline figure. The claim attributes a 12/88 bimodal ROI distribution (12% of enterprise agentic AI deployments clearing 300%-plus ROI, 88% at or below break-even at 12-18 months) to the Stanford Digital Economy Lab Enterprise AI Playbook (Apr 2026). The full report text contains no such distribution and no ROI-realisation failure data: it is a study of 51 successful deployments (Pereira, Graylin, Brynjolfsson), in which the only 88% figure is '88% of organizations use AI in at least one function' and the only 12% figure is a sponsor-engagement category. The report's design cannot yield a failure distribution. A web search found no Stanford DEL publication reporting 12/88. Gartner (28% of AI I&O projects fully pay off, Apr 2026) and McKinsey (6% high performers, Nov 2025) document a small-tail pattern but do not corroborate the specific 12/88 split the claim asserts. Status Up -> Not holding. The article remains published with this correction log; the governance-over-capability argument is re-anchored, where it appears elsewhere in the corpus, to figures that survive verification.
- 10 Jun 2026Article restated. The piece at the source URL was rewritten the same day, at the same slug, on the verifiable counterpart figure the fabricated one shadowed: IDC research commissioned by Lenovo (CIO Playbook 2025, Feb 2025; global survey n=2,920) reporting 88% of AI proof-of-concepts failing to reach production, with 4 of every 33 POCs (roughly 12%) graduating, per CIO.com (25 Mar 2025). The restated article asserts a new tracked claim, AM-213, and opens with a correction notice pointing back to this record. This claim stays Not holding as the permanent record of the fabricated attribution; its claim text is unchanged.
- AM-213 · Holding
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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-132 · Partial · 10 Jun 2026
One of four legs unanchored on re-review. The claim text attributes '12% of deployments clearing 300%+ ROI with 88% at or below break-even at 12-18 months' to the Stanford DEL 2026 Enterprise AI Playbook. Full-text verification on 10 Jun 2026 found no such figure in that source: the playbook (Pereira, Graylin, Brynjolfsson, Apr 2026) studies 51 successful deployments by design and contains no ROI distribution, no 300%-plus cohort, and no break-even measurement point (full finding at AM-029, correction of 10 Jun 2026). The only verified figure carrying the same 12/88 numerals is IDC research with Lenovo (via CIO.com, Mar 2025): roughly 88% of AI proof-of-concepts never reach production and roughly 12% graduate — a pilot-to-production graduation metric, not an ROI distribution. The Gartner 28%, McKinsey 23%/17%, and MIT NANDA 95% legs verify; they support a small high-performing tail and a large struggling body, but none documents the two-peak bimodal shape the claim asserts. Status Up -> Partial.
- AM-129 · Partial · 10 Jun 2026
One of three read-against anchors unanchored on re-review. The claim text cites 'Stanford Digital Economy Lab Enterprise AI Playbook (12/88 bimodal ROI distribution at 12-18 months)' and frames the realistic ROI band around 'the highest-discipline 12% cohort'. Full-text verification on 10 Jun 2026 found the playbook contains no 12/88 distribution, no bimodal ROI shape, and no 12-18-month ROI measurement point (full finding at AM-029, correction of 10 Jun 2026). The claim's core negative finding — no mid-market enterprise has produced a documented +240% ROI in 90 days under audited conditions — is unaffected; the McKinsey State of AI 2025 and MIT NANDA legs verify and continue to support it. The '12% cohort' framing has no verifiable referent. The only verified figure carrying the 12/88 numerals is IDC's pilot-graduation finding (roughly 88% of AI proof-of-concepts never reach production; via CIO.com, Mar 2025), a different metric. Status Up -> Partial.
- AM-201 · Partial · 10 Jun 2026
One of four named datasets unanchored on review. The claim text names 'Stanford DEL's 12% clearing 300%+ ROI vs 88% at or below break-even' as one of four independent datasets. Full-text verification on 10 Jun 2026 found the Stanford DEL Enterprise AI Playbook contains no such distribution — it studies 51 successful deployments by design and carries no ROI-realisation failure data (full finding at AM-029, correction of 10 Jun 2026). The McKinsey (23% scaling, 17% EBIT-attribution), Gartner (28% fully paying off), and MIT NANDA (95% no measurable P&L impact) datasets verify; the claim's spine stands on three datasets rather than four. The only verified figure carrying the 12/88 numerals is IDC's pilot-graduation finding (roughly 88% of AI proof-of-concepts never reach production; via CIO.com, Mar 2025), a different metric from an ROI distribution. Status Up -> Partial.
Reviews coming up in Reporting
- AM-063 · Holding · next +15d (27 Jun 2026)
AI agents executing financial transactions need a four-control bundle (action-approval gates by blast radius, kill-swit…
- AM-061 · Holding · next +15d (27 Jun 2026)
Production agentic-AI costs at scale routinely run multiples of POC projections, and a layered optimisation programme c…
- AM-003 · Partial · next +15d (27 Jun 2026)
GPT-5 Pro's tiered-subscription model forces enterprises to classify problems by computational difficulty — $200/month…