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Dossier #32 // technical exposure assessment

Lower exposure

Clinical Nurse Specialists

Category: Healthcare · SOC 29-1141.04 · Industry: Healthcare

AI Exposure (AI-estimated)

30/100
increased by +1.0 vs last

Low exposure

Last updated

3 Oct 2026

19 hours ago · sources: BLS OES (approx) · O*NET

Evidence

0 sources

117 core tasks shown · 20 secondary hidden

Verdict

Clinical Nurse Specialists Lower exposure: only 6 of 117 core tasks show high task automation potential : exposure 30/100 (low exposure).

No model has published evidence mapped to this occupation yet - the score comes from generic task assessment.

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Score breakdown

Why this score?

Every component is stored with the score row and can be recomputed from the evidence table.

AI Exposure (composite)30/100

Methodology 2026-09-a · score v1.0 · input hash 7a056801662e58a0

AI capability exposure60/100

Strength of current models on the capabilities this job's tasks require.

Task automation potential40/100

Task-level exposure, weighted by task importance. A component of the headline, not the headline itself.

Observed AI adoption0/100

Evidence that AI is actually being used for this work.

Labour-market signal0/100

Observed changes in postings, employment or earnings.

Evidence strength0/100

Quantity and source quality of the evidence behind the score.

0 evidence item(s) contribute. Calculated 19 hours ago. 3 Oct 2026 UTC.

Overview

Direct nursing staff in the provision of patient care in a clinical practice setting, such as a hospital, hospice, clinic, or home. Ensure adherence to established clinical policies, protocols, regulations, and standards.

Employment

≈3,300,000

approx. BLS OES

Median wage

≈$86,000

approx. BLS OES

Tasks tracked

137

linked to this occupation

Employment and wage values are approximate reference figures from the BLS Occupational Employment and Wage Statistics programme, stored with an approximation flag. Verify against the O*NET record and BLS before quoting them.

Tasks

Task-level automation exposure

Core tasks only. Exposure describes how much of the task output current AI can produce or substantially assist - not whether the task disappears. Secondary shared-baseline edges are hidden until per-occupation curation is complete.

Evidence

Evidence trail

0 attributed item(s). Confidence reflects study design: randomised and production deployments score higher than platform observations, which score higher than projections.

No occupation-specific evidence has been mapped yet. This occupation is scored from generic task assessment only - a genuinely weaker basis, and the reason its score is marked low-confidence.

Historical trend

Exposure over time

Backcast series: recomputed at quarterly checkpoints using only the models and evidence published by each date.

Clinical Nurse Specialists AI exposure backcast, quarterly from 2021Reconstructed exposure series with 23 checkpoints. Current value 30 out of 100. 5 observed snapshots recorded since tracking began.1000502021-01-012026-07-010715
Score · 23 points · 2021-01-01 to 2026-07-01

Reconstruction, not measurement. 5 observed daily snapshot(s) exist for this occupation; the earlier part of the curve is derived by applying the current methodology to the model releases and published evidence available at each past date.

Recent events

Signals affecting this occupation

  1. Occupation score change
    IMPACT 10

    registered nurse exposure increased 1.0 points

    AI Exposure Score moved from a previous calculation to 30/100 under methodology v1.0. 0 evidence item(s) contributed.

    Verified signalConfidence:40 · lowVerified by AIKillsWhat

Related

Related Occupations

Occupations sharing major SOC group (29) with Clinical Nurse Specialists.

faq

Frequently Asked Questions

Common questions regarding Clinical Nurse Specialists and AI exposure.

Will AI replace Clinical Nurse Specialists?

Current AI models show an exposure score of 30/100 for Clinical Nurse Specialists. This measures technical capability to assist or automate specific tasks rather than predicted immediate job loss. Low exposure indicates significant physical, clinical, or relational tasks that current AI cannot autonomously execute.

Which tasks in Clinical Nurse Specialists have the highest AI exposure?

The most exposed tasks for Clinical Nurse Specialists include "Document patients' medical histories and assessment findings." (78% exposure) and "Interpret information obtained from electrocardiograms (EKGs) or radiographs (x-rays)." (75% exposure).

What aspects of Clinical Nurse Specialists can AI not do yet?

Tasks with the lowest AI exposure for Clinical Nurse Specialists include "Perform emergency medical procedures, such as basic cardiac life support (BLS), advanced cardiac life support (ACLS), a…" (0% exposure) and "Write prescriptions for psychotropic medications as allowed by state regulations and collaborative practice agreements." (0% exposure). These responsibilities typically require physical dexterity, licensed human accountability, or complex interpersonal navigation.

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Notice: All ratings shown are AI-estimated technical exposure scores measuring technical capabilities across O*NET task statements, not predicted job loss. Contains information from O*NET 31.0 by the U.S. Department of Labor, ETA, used under CC BY 4.0.