Midwifery Professionals

← The GenAI exposure gradient

On the International Labour Organization's 2025 global study, the 8 task statements that define Midwifery Professionals (ISCO-08 2222) score an average of 0.30 on a 0–1 exposure scale — more exposed than about 56% of the 427 placed occupations. Roughly 0% of its tasks fall somewhere on the exposed part of the gradient, and the typical task lands in the Minimal 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

“Reporting births to government authorities to meet legal and professional requirements;”

Scores 0.54 on the 2025 scale. The task of reporting births to government authorities involves structured data input, compliance with legal requirements, and accuracy, all of which can benefit from automation using Generative AI. The automation potential is similar to maintaining documentation of equipment inspections (0.33) and monitoring nursing standards (0.35), where AI can assist with data processing and preliminary report generation. However, due to the sensitive nature of birth reporting and the necessity for human oversight to ensure compliance with legal obligations and accuracy of data, complete automation is limited. The task shares similarities with maintaining breeding and economic documentation (0.425) and preparing health service reports (0.435), where structured data management and compliance are key components. Given these comparisons and the assumption of performing this task in a high-income country like Poland, the adjusted score reflects the capability of AI to assist with documentation while recognizing the essential human role in final verification and compliance checks.

Moving fastest, 2023 → 2025

“Conducting research on midwifery practices and procedures and disseminating findings such as through scientific papers and reports;”

Model capability on this task changed by +0.22 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 2222, 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.

• Nurse Midwives

In context

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

Midwifery Professionals sit at the 56th percentile of the global GenAI exposure gradient

• Across 427 international occupations scored by the ILO, Midwifery Professionals rank in the 56th 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 0% of this occupation's tasks fall into an exposed gradient band. (ILO / Gmyrek et al. (2025))
• Mean task exposure rose by 0.05 between the 2023 and 2025 model-capability snapshots. (ILO / Gmyrek et al. (2025), 2023→2025)
• Its most-exposed task: "Reporting births to government authorities to meet legal and professional requirements;". (ILO / Gmyrek et al. (2025))

Source: Singulariki — "Midwifery Professionals". https://singulariki.com/gradient/2222-midwifery-professionals.html
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.