Accountants (CA/PA) advising clients on digital infrastructure environmental impact and data-centre energy reporting are increasingly using AI to validate ESG-disclosure benchmark figures against regulator-cited statistics, draft client sustainability-opinion sections referencing OECD-cited national data, prepare due-diligence memos on carbon-accounting baselines for data-centre offtake engagements, and populate audit working papers with OECD-cited benchmark statistics.
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 accountants will reach for when contextualising client engagements on data-centre offtake, sustainability reporting, and digital-infrastructure assurance work. 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 accountants, 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. A CA or PA who accepts the AI-generated figure at face value and includes it in a client deliverable, a sustainability opinion, a due-diligence memo, or a board briefing, will have signed off on a materially incorrect statistic attributed to a named official source. The client loses the ability to rely on that deliverable as an accurate benchmark.
If the figure is used to contextualise a disclosure in a regulated filing or an ESG-linked transaction document, correcting the record after publication or submission is costly and reputationally damaging. The fabricated time series compounds the risk: it provides apparent trend evidence that may influence investment or risk-assessment conclusions drawn by the client or a counterparty reviewing the document.
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.
A CA/PA who accepts the AI-generated figure at face value and includes it in a client deliverable, a sustainability opinion, a due diligence memo, or a board briefing, will have signed off on a materially incorrect statistic attributed to a named official source. The client loses the ability to rely on that deliverable as an accurate benchmark. If the figure is used to contextualise a disclosure in a regulated filing or an ESG-linked transaction document, correcting the record after publication or submission is costly and reputationally damaging.
The fabricated time-series compounds the risk: it provides apparent trend evidence that may influence investment or risk-assessment conclusions drawn by the client or a counterparty reviewing the document.
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.