ESG & Sustainability teams at Statutory Boards & Agencies firms operating under digital infrastructure environmental impact and data-centre energy reporting are increasingly using AI to extract OECD-cited data-centre energy statistics for ministerial briefings, populate official sustainability publications with verbatim OECD figures, draft policy position papers on digital-infrastructure environmental impact, and validate analytical references in signed government publications.
The OECD's 2025 Revision of the Recommendation on Digital Technologies and the Environment carries a named, citable statistic on Ireland's data-centre share of metered electricity, drawn from Ireland's Central Statistics Office, that ESG & Sustainability teams at statutory board and agency firms will reach for when populating sustainability disclosures, ESG investor responses, and regulatory briefings on digital-infrastructure environmental impact. That statistic is exactly the kind of figure the RLB Specialist Panel tested two frontier AI subjects against.
The RLB Specialist Panel issued a Specialist Panel application-style question on the share of Ireland's 2021 metered electricity that data centres accounted for, per the figure cited in the OECD Digital Economy Outlook 2024 chapter referenced by the 2025 Recommendation, sourced from Ireland's CSO (2023). Two frontier AI models tested by the RLB Specialist Panel returned the figure as 14 per cent and extended the answer with a four-point time series running from 5 per cent in 2015 through 21 per cent in 2023. The regulator's verbatim text records 11 per cent in 2021, with no multi-year trajectory.
The failure class is Fabricated Fact: a confidently delivered, citably attributed statistic that does not match the source document, compounded by a fabricated time series that does not appear anywhere in the OECD or CSO published record.
For ESG & Sustainability teams at statutory board and agency firms, this is operationally consequential because the wrong figure is not a vague paraphrase. It is delivered with a real source chain, CSO 2023 via OECD Digital Economy Outlook 2024, that survives standard reference-check review.
When an ESG and Sustainability team at a statutory board or agency asks AI tools to extract the data-centre energy consumption figure cited in the OECD's Recommendation, the AI returned 14 per cent, attributed by name to Ireland's Central Statistics Office (2023) and to the OECD Digital Economy Outlook 2024, when the actual figure in the text is 11 per cent. The AI compounded the error with a fabricated time series showing the share rising to 18 per cent in 2022 and 21 per cent in 2023, figures that do not exist in the source material.
If this response is used to populate a sustainability report, a ministerial briefing, or a policy position on digital infrastructure environmental impact, the statutory board documents wrong numbers attributed to a verifiable official source. The correction obligation that follows, amending a published government document, notifying the ministry, and re-examining any policy conclusions the figure was used to support, carries institutional reputational cost that is disproportionate to the original research shortcut.
The OECD has no direct enforcement powers over statutory boards and agencies under this recommendation, but the credibility damage from a publicly-visible factual error in an official sustainability publication is the operative risk.
The audit's finding on this question is published with an immutable RLB Citation ID. The relevant entry is RLB-H-INT-OECD-OECD-DIGITAL-TECHNOLOGIES-ENVIRONMENT-2025-Q006-Sonnet46. The full audit is published at the OECD Digital Technologies and the Environment Recommendation (2025 Revision) hub on RegLegBrief.com.
This is the consolidated view of findings. Click the Citation IDs or 'see details →' on any item for the full details for each finding.
When an ESG & Sustainability team at a statutory board or agency asks AI tools to extract the data centre energy consumption figure cited in the OECD's recommendation, the AI returned 14%, attributed by name to Ireland's Central Statistics Office (2023) and to the OECD Digital Economy Outlook 2024, when the actual figure in the text is 11%. The AI compounded the error with a fabricated time series showing the share rising to 18% in 2022 and 21% in 2023, figures that do not exist in the source material.
If this response is used to populate a sustainability report, a ministerial briefing, or a policy position on digital infrastructure environmental impact, the statutory board documents wrong numbers attributed to a verifiable official source. The correction obligation that follows, amending a published government document, notifying the ministry, and re-examining any policy conclusions the figure was used to support, carries institutional reputational cost that is disproportionate to the original research shortcut.
The OECD has no direct enforcement powers over statutory boards and agencies under this recommendation, but the credibility damage from a publicly-visible factual error in an official sustainability publication is the operative risk. For agencies whose ESG function is relied on to provide analytical rigour to digital infrastructure decisions, an AI-sourced statistics error of this kind undermines the function's standing with both internal governance bodies and external stakeholders.
Every finding on this page compares an AI subject's account of the rule against the regulator's verbatim text from the regulator's own portal. Both are linked. Each delta, its root causes, and impact analysis are documented and published with immutable Citation IDs.