Accountants

← The GenAI exposure gradient

On the International Labour Organization's 2025 global study, the 8 task statements that define Accountants (ISCO-08 2411) score an average of 0.51 on a 0–1 exposure scale — more exposed than about 89% of the 427 placed occupations. Roughly 100% of its tasks fall somewhere on the exposed part of the gradient, and the typical task lands in the Gradient 3 band.

Exposure is task overlap, not a verdict. A high score means a generative-AI model can do part of the content of these tasks — it says nothing about whether the work is automated, whether anyone uses AI for it today, or whether jobs are lost. The gradient is scored on the international ISCO-08 system; the rest of Singulariki is U.S. O*NET/SOC, bridged below by an approximate, many-to-many crosswalk.

How its tasks split across the gradient

Each of the 8 scored tasks for this occupation, sorted into the six exposure bands — cool (human ground) to hot (almost fully assistable).

The most-exposed task

“Preparing and certifying financial statements for presentation to management, shareholders and statutory or other bodies;”

Scores 0.65 on the 2025 scale. The task of preparing and certifying financial statements for management and shareholders involves data collection, processing, and presentation, which Generative AI can assist with significantly. Similar tasks in high-income countries like Poland, such as financial report preparation, data analysis, financial planning, and compilation of financial statements, have shown moderate to high automation potential. In the provided context, tasks like preparing internal financial reports and valuations, preparing required reports and analyses, and preparing financial reports exhibit scores in the range of 0.60 to 0.685, reflecting substantial automation capabilities. Generative AI excels at automating repetitive data processing and generating structured report formats, roles that align with this task. However, human oversight is necessary for ensuring compliance with financial regulations, interpreting complex data, and making strategic decisions. Therefore, an adjusted score of 0.65 adequately captures the balance between AI's contribution to efficiency and the need for managerial oversight in financial certification tasks.

Moving fastest, 2023 → 2025

“Preparing and certifying financial statements for presentation to management, shareholders and statutory or other bodies;”

Model capability on this task changed by +0.35 in two years — the gradient is not static, it is filling in.

U.S. occupations this maps to

The American O*NET/SOC roles that crosswalk to ISCO-08 2411, biggest by employment first, via the published (approximate, many-to-many) IBS O*NET-SOC ↔ ISCO-08 correspondence. These are the closest U.S. matches — not an asserted one-to-one identity.

• Accountants and Auditors
• Tax Preparers
• Budget Analysts

In context

Part of the 2 - Professionals major group. Return to the full gradient to see how the whole group sits.

Accountants sit at the 89th percentile of the global GenAI exposure gradient

• Across 427 international occupations scored by the ILO, Accountants rank in the 89th percentile for GenAI task exposure — overlap with what generative AI can attempt, not a projection of displacement. (ILO / Gmyrek et al. (2025) GenAI exposure gradient)
• About 100% of this occupation's tasks fall into an exposed gradient band. (ILO / Gmyrek et al. (2025))
• Mean task exposure fell by 0.01 between the 2023 and 2025 model-capability snapshots. (ILO / Gmyrek et al. (2025), 2023→2025)
• Its most-exposed task: "Preparing and certifying financial statements for presentation to management, shareholders and statutory or other bodies;". (ILO / Gmyrek et al. (2025))

Source: Singulariki — "Accountants". https://singulariki.com/gradient/2411-accountants.html
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.