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AI has arrived in auditing. Are regulators ready?

Source: ft.com

TL;DR

EY showed its global leadership team powerful AI tools for audit business rollout late last month.
The technology is already changing how company accounts are reviewed.
Regulators may lack readiness to oversee AI's role and risks in auditing.[[1]](https://www.ft.com/content/14062aaa-251d-414f-8978-8d7d8f5311e3?syn-25a6b1a6=1)[[2]](https://www.ft.com/content/14062aaa-251d-414f-8978-8d7d8f5311e3)

The story at a glance

EY's global leadership recently previewed advanced AI tools set for broad rollout in its audit operations. The article, by Stephen Foley in the Financial Times, examines how AI is rapidly altering audit processes at firms like EY. It questions if regulators such as the FRC and PCAOB are prepared for these shifts. This comes amid recent FRC guidance on AI in auditing and ongoing PCAOB discussions on technology in audits.[[1]](https://www.ft.com/content/14062aaa-251d-414f-8978-8d7d8f5311e3?syn-25a6b1a6=1)[[2]](https://www.ft.com/content/14062aaa-251d-414f-8978-8d7d8f5311e3)[[3]](https://www.resultsense.com/news/2026-03-31-frc-auditors-cannot-blame-ai-for-mistakes.html)

Key points

EY's tools, building on prior investments like the $1bn assurance platform including EYQ Assurance Knowledge (a GenAI tool for searching and summarizing audit content), aim to support over 160,000 audit engagements worldwide.[[4]](https://www.ey.com/en_gl/newsroom/2025/04/ey-announces-large-scale-integration-of-leading-edge-ai-technology-into-global-assurance-technology-platform)
AI is driving rapid changes in reviewing company accounts, with Big Four firms embedding it despite inconsistent monitoring of quality impacts, per UK FRC findings.[[5]](https://accountancyage.com/2025/06/27/big-accountancy-firms-fail-to-monitor-ais-impact-on-audit-quality-says-frc)
UK's FRC issued world's first AI audit guidance in late March 2026, stressing firms remain accountable for AI errors and must manage risks in generative and agentic AI use.[[3]](https://www.resultsense.com/news/2026-03-31-frc-auditors-cannot-blame-ai-for-mistakes.html)[[6]](https://www.accountancytoday.co.uk/2026/03/30/frc-publishes-first-global-ai-audit-guidance)
PCAOB is considering AI risk management guidance and structured data standards to promote tech use while ensuring audit quality.[[7]](https://pcaobus.org/news-events/speeches/speech-detail/ai-and-the-pursuit-of-audit-quality--a-regulatory-perspective)
Big Four face challenges in tracking AI's effect on audit quality; regulators want proof it improves outcomes, not just efficiency.[[8]](https://olikhatib.substack.com/p/ai-and-the-collapse-of-the-big-four)

Details and context

The article highlights EY's internal demo as a sign of accelerating AI adoption in auditing, where tools analyze full datasets, detect anomalies, and summarize technical content faster than humans. This follows EY's multi-year push, including EYQ rollout in 2025, but raises questions on validation—does AI replace human judgment adequately, or just assist?

Regulators are responding slowly. The FRC's March 2026 guidance is pioneering but warns against blaming AI for mistakes; firms must document controls. PCAOB discussions focus on principles for responsible AI use, amid broader worries like data privacy under EU AI Act and inconsistent firm oversight.

Past FRC reviews (e.g., July 2025) criticized Big Four for wide AI use without quality tracking, echoing the article's concern that speed outpaces safeguards.

Key quotes

None reliably sourced from the article.

Why it matters

AI promises efficiency in the $80bn+ global audit market but risks errors if unchecked, potentially eroding trust in financial statements. Audit firms and clients face pressure to adopt while proving compliance; investors could see faster insights or higher deficiency rates without oversight. Watch FRC/PCAOB standards in 2026 and EY's rollout results, though full impacts remain uncertain.