Accounting and Bookkeeping Clerks

← The GenAI exposure gradient

On the International Labour Organization's 2025 global study, the 5 task statements that define Accounting and Bookkeeping Clerks (ISCO-08 4311) score an average of 0.64 on a 0–1 exposure scale — more exposed than about 99% 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 4 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 5 scored tasks for this occupation, sorted into the six exposure bands — cool (human ground) to hot (almost fully assistable).

The most-exposed task

“Calculating, preparing and issuing bills, invoices, account statements and other financial statements according to established procedures.”

Scores 0.71 on the 2025 scale. The task of calculating, preparing, and issuing bills, invoices, account statements, and other financial statements involves structured data processing and routine calculations, which are well-suited for automation with Generative AI. Similar tasks, such as "Issuing sales invoices" (score: 0.68) and "Preparing sales registers" (score: 0.65), show moderate to high potential for automation due to their repetitive, routine nature. The ability of AI to handle standard invoicing and data entry tasks efficiently aligns closely with the potential to automate this task, which requires less human judgment compared to tasks involving complex decision-making or non-standardized processes. However, human oversight is still necessary for handling exceptions, ensuring compliance, and addressing any unique client requirements, as indicated by tasks requiring human oversight like "Entering personal data and preparing documentation for concluding insurance contracts" (score: 0.6). Given the technological infrastructure in a high-income country like Poland, it is feasible to leverage Generative AI for most aspects of this task while retaining human involvement for final checks, suggesting a score of 0.67.

Moving fastest, 2023 → 2025

“Operating computers programmed with accounting software to record, store and analyse information;”

Model capability on this task changed by +0.05 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 4311, 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.

• Bookkeeping, Accounting, and Auditing Clerks
• Billing and Posting Clerks

In context

Part of the 4 - Clerical support workers major group. Return to the full gradient to see how the whole group sits.

Accounting and Bookkeeping Clerks sit at the 99th percentile of the global GenAI exposure gradient

• Across 427 international occupations scored by the ILO, Accounting and Bookkeeping Clerks rank in the 99th 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 0.05 between the 2023 and 2025 model-capability snapshots. (ILO / Gmyrek et al. (2025), 2023→2025)
• Its most-exposed task: "Calculating, preparing and issuing bills, invoices, account statements and other financial statements according to established procedures.". (ILO / Gmyrek et al. (2025))

Source: Singulariki — "Accounting and Bookkeeping Clerks". https://singulariki.com/gradient/4311-accounting-and-bookkeeping-clerks.html
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.