Registered Nurses

Most exposed tasks

No task is classified fully automatable in this release. The highest-exposure task relative to this role is shown in the free snapshot above; the assistive work is detailed next.

Augmentable tasks

Work where AI assists rather than replaces — the productivity frontier of this role.

• Maintain accurate, detailed reports and records.58
• Record patients' medical information and vital signs.55
• Perform administrative or managerial functions, such as taking responsibility for a unit's staff, budget, planning, or long-range goals.45

Most durable tasks

Lowest exposure — typically judgment, relationships, physical presence, or accountability. This is the human moat.

• Provide health care, first aid, immunizations, or assistance in convalescence or rehabilitation in locations such as schools, hospitals, or industry.15
• Prepare rooms, sterile instruments, equipment, or supplies and ensure that stock of supplies is maintained.15
• Administer medications to patients and monitor patients for reactions or side effects.20

Task exposure values and classifications are published, versioned estimates audited against the anchored rubric. This page reads them from the data release rather than generating them at request time. Bars show exposure contribution relative to this role’s task mix.

What this means

A score of 33 puts Registered Nurses in the second quartile of analyzed occupations. In practice, exposure this level is about the mix: 0 of 20 analyzed tasks lean automatable, 6 augmentable, and 14 durable. The useful question isn’t “will AI take this job” — it’s which tasks go first, which get faster, and where to reposition time. That’s what the personalized report maps against your actual week.

Lower-exposure adjacent roles

Shown only when the target is at least 10 points lower under the same score version and skill overlap is at least 50%. These are adjacent roles with lower task exposure — not guaranteed “safe careers”.

Labor-market context

• $97,550median wage
• 3,379,720employed
• 189,100annual openings
• +4.9%projected growth

Context only — labor statistics are not inputs to the exposure score. See methodology.

Related roles

Adjacent by skills or family — no exposure claim implied.

• Clinical Nurse Specialists 35
• Acute Care Nurses 29
• Critical Care Nurses 24
• Nurse Practitioner 37
• Nurse Midwives 33
• Advanced Practice Psychiatric Nurses 34

How this score was calculated

FAQ — Registered Nurses

Will AI replace Registered Nurses?

This score cannot predict whether this occupation or any individual job will be replaced. It shows which tasks current and near-term AI can perform or accelerate, which tasks remain more durable, and where a worker can adapt. Employer decisions, demand, regulation, and how the role changes are outside the score.

What does a score of 33 mean for a Registered Nurses?

It means that, weighted across the 20 tasks we analyzed for this role, the task mix sits at 33 on a 0–100 exposure scale — in the second quartile of analyzed occupations. It measures task exposure to current and near-term AI capabilities, not the probability of losing a job.

Which tasks in this role are most exposed to AI?

This role has no strongly automatable task in the current data release.

Which parts of this job are most durable?

The most durable responsibilities are: Provide health care, first aid, immunizations, or assistance in convalescence or rehabilitation in locations such as schools, hospitals, or industry; Prepare rooms, sterile instruments, equipment, or supplies and ensure that stock of supplies is maintained; Administer medications to patients and monitor patients for reactions or side effects. Durable tasks typically depend on judgment, relationships, physical presence, or accountability.

Is this score personalized to me?

No — this page shows the occupation-level baseline. Two people with the same title often do different work. The $9 personalized report recalculates the score from the tasks you actually do and builds a concrete 7/30/90-day plan around them.