Nursing Professionals

← The GenAI exposure gradient

On the International Labour Organization's 2025 global study, the 10 task statements that define Nursing Professionals (ISCO-08 2221) score an average of 0.25 on a 0–1 exposure scale — more exposed than about 47% 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 Not exposed 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 10 scored tasks for this occupation, sorted into the six exposure bands — cool (human ground) to hot (almost fully assistable).

The most-exposed task

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

Scores 0.46 on the 2025 scale. The task of conducting research on nursing practices and procedures and disseminating findings, such as through scientific papers and reports, aligns with tasks involving preparation and analysis within scientific, educational, and management fields. These tasks typically involve complex cognitive activities, such as data interpretation, intellectual assessments, and structuring findings into publishable formats, which Generative AI tools can support but not entirely manage due to the need for expert judgment and context-specific analysis. Semantically similar tasks such as "Preparing and delivering papers, notices, and scientific and popular science reports" and "Conducting scientific activities, publishing theoretical and methodological analyses, and research reports" have scores of 0.45 and 0.4975, respectively, highlighting AI's role in assisting with content generation and data handling tasks. However, these tasks consistently require human intervention for interpretation and ensuring context accuracy, justifying a moderately low automation score. Given that the task also includes dissemination of findings, which might involve engaging presentation and communication skills, this remains a largely human-centric task. Therefore, in a high-income country like Poland with strong technological integration, the score of 0.42 reflects the potential for significant AI assistance in drafting and data management, without the complete replacement of human expertise essential for nuanced insight and tailored analysis.

Moving fastest, 2023 → 2025

“Planning and participating in health education programmes, health promotion and nurse education activities in clinical and community settings;”

Model capability on this task changed by +0.15 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 2221, 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.

• Registered Nurses
• Acute Care Nurses
• Advanced Practice Psychiatric Nurses
• Critical Care Nurses
• Clinical Nurse Specialists
• Nurse Practitioners
• Nurse Anesthetists

In context

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

Nursing Professionals sit at the 47th percentile of the global GenAI exposure gradient

• Across 427 international occupations scored by the ILO, Nursing Professionals rank in the 47th 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 0.00 between the 2023 and 2025 model-capability snapshots. (ILO / Gmyrek et al. (2025), 2023→2025)
• Its most-exposed task: "Conducting research on nursing practices and procedures and disseminating findings such as through scientific papers and reports.". (ILO / Gmyrek et al. (2025))

Source: Singulariki — "Nursing Professionals". https://singulariki.com/gradient/2221-nursing-professionals.html
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.