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Finance

Auditor

Based on 37 assessments · 1 from real users

39% Moderate risk

Average realistic automation risk across all Auditor profiles in the dataset.

Raw potential
64%
Realistic risk
39%
Research benchmark ?
52%

Raw potential = I/O automation ceiling. Realistic risk = adjusted for informal knowledge and social context. Research benchmark: Eloundou et al. (2023)

Distribution across 37 profiles. Middle half of Auditors score between 35% and 42%.

0% 50% 100%
p10 · 32%
49% · p90
On-screen work 51%

Done entirely on a computer. High AI exposure — these tasks are already in the automation zone.

In-person + screen 30%

Physical sensing, digital output — e.g. interviewing someone then writing a report. Partially protected.

Computer + action 7%

Computer input, real-world output — needs someone to act on it, not just software.

Fully in-person 13%

No computer required. Furthest from automation — the strongest human advantage.

3 synthetic profiles for a Auditor, ordered by automation exposure. Tab between them to see how task mix drives the score difference.

Task Time Type Exposure
Reviewing financial statements and accounting records to verify accuracy and compliance with regulations and standards
26% DD 64%
Testing internal controls (e.g., approval processes, segregation of duties) to assess their effectiveness and identify weaknesses
deep expertise social element
19% AD 23%
Researching and staying updated on accounting standards, tax laws, and industry regulations to ensure audit practices remain compliant
deep expertise
19% DD 36%
Meeting with clients or management to discuss audit scope, findings, and recommendations, and to clarify any discrepancies
deep expertise
16% AA 6%
Preparing and presenting final audit reports to stakeholders, including executives, boards, or regulatory bodies
deep expertise
11% DA 6%
Sampling and analyzing transaction data (e.g., invoices, receipts, bank statements) to detect errors, fraud, or irregularities
7% AD 34%
Documenting audit findings in detailed reports, including discrepancies, risks, and recommendations for improvement
0% DD 61%

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