The 2 Jun 2026 US executive order 'Promoting Advanced Artificial Intelligence Innovation and Security' concentrates its mandatory weight on the federal government (CISA binding operational directives on AI-enabled cyber defence within 30 days, an NSA/CISA/Treasury AI cybersecurity clearinghouse within 30 days, OPM cyber hiring within 60 days) while making frontier-model pre-release government review explicitly voluntary, and the binding federal directives will move the de-facto AI-cyber baseline that auditors, insurers and customers measure enterprises against even though the order compels no private firm.
Anchored on the White House executive order 'Promoting Advanced Artificial Intelligence Innovation and Security' (signed 2 Jun 2026; whitehouse.gov presidential-actions + fact sheet + Federal Register 2026-11415 published 5 Jun 2026): CISA binding operational directives within 30 days; Treasury with NSA and CISA AI cybersecurity clearinghouse within 30 days; voluntary frontier-model pre-release access up to 30 days; OPM cyber-specialist hiring within 60 days. Named quote: Nick Andersen, Acting Director CISA, AFCEA TechNet Cyber 4 Jun 2026 (Cybersecurity Dive). EU AI Act contrast (fines up to 7% of global turnover) cited via artificialintelligenceact.eu. VERIFIED 2026-06-08 via whitehouse.gov EO + fact sheet (fetched). PRECISION: the frontier-model 30-day pre-release access is VOLUNTARY ('may'), not a submission mandate — stated as such throughout the body. Distinct from AM-197 (us-ai-regulation-federal-state-standoff, the landscape) — this piece is the specific 2 Jun EO's operational requirements + the de-facto-baseline argument. 45-day cadence (the 30/60-day deadlines land within the window). Triggers: (1) CISA's binding operational directives arriving materially narrower or broader than the order implies; (2) the labs declining the voluntary review window, neutralising that mechanism; (3) subsequent federal action converting a voluntary element into a mandate. Siblings: AM-197 (US regulation standoff), AM-184 (EU AI Act Digital Omnibus), AM-195 (AI coding agents attack surface).
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The claim: The 2 Jun 2026 US executive order 'Promoting Advanced Artificial Intelligence Innovation and Security' concentrates its mandatory weight on the federal government (CISA binding operational directives on AI-enabled cyber defence within 30 days, an NSA/CISA/Treasury AI cybersecurity clearinghouse within 30 days, OPM cyber hiring within 60 days) while making frontier-model pre-release government review explicitly voluntary, and the binding federal directives will move the de-facto AI-cyber baseline that auditors, insurers and customers measure enterprises against even though the order compels no private firm.
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-008 · Partial · 17 Jun 2026
Source-text figure re-review: Google's 2024 Environmental Report reports a 28% year-over-year increase to 8.1 billion gallons, not the 33% (from a 6.1 billion 2023 base) asserted at publish. The 8.1B 2024 figure and the Microsoft WUE 0.30 L/kWh / 39%-improvement figure are unchanged and verified. Article corrected to 28% and the unsupported 6.1B base removed; the claim text retains the original figure with this correction per the Holding-up protocol.
- 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.
Reviews coming up in Reporting
- AM-063 · Holding · next +9d (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 +9d (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 +9d (27 Jun 2026)
GPT-5 Pro's tiered-subscription model forces enterprises to classify problems by computational difficulty — $200/month…