Will AI replace critical care nurses?

Unlikely, though parts of the work are changing. About 46m of an 8-hour shift goes to tasks touched by AI working on its own. The other 7h 14m (90%) stays with people. Separately, BLS expects about 5.6% more of these jobs by 2035 (all jobs: +3.5%).

AI shows up regularly in 2 of 29 tasks, about 46m of a typical shift. The biggest ones:

• Document patients' medical histories and assessment findings. (33m a shift, AI mostly does it alone)
• Compile and analyze data obtained from monitoring or diagnostic tests. (13m a shift, AI mostly does it alone)

Not in workplaces like this one, based on a 2026 review of robot deployments. 1 more task has only been done in factory setups built around the machine, so it stays with people here. For 11 physical tasks, no robot has shown it can do the work yet.

7h 14m of a typical shift, or 90%, goes to tasks with no AI or robot evidence yet. No AI usage or robot deployment has shown up for these so far. The biggest:

• Administer medications intravenously, by injection, orally, through gastric tubes, or by other methods. (59m a shift)
• Monitor patients for changes in status and indications of conditions such as sepsis or shock and institute appropriate interventions. (53m a shift)
• Evaluate patients' vital signs or laboratory data to determine emergency intervention needs. (39m a shift)
• Collaborate with other health care professionals to develop and revise treatment plans, based on identified needs and assessment data. (26m a shift)
• Document patients' treatment plans, interventions, outcomes, or plan revisions. (26m a shift)

Much of it comes down to where and how the work happens. In-person, hands-on and high-stakes work is where AI and robots have made the least headway so far. In the official O*NET survey of people in this job:

• 100% are exposed to disease or infection every day
• 96% say a mistake would be very or extremely serious
• 89% say dealing with the public is very or extremely important

For the 1 task in this job where AI shows up and timing data exists, a typical request takes about 4h 38m for a person alone and about 57m with AI. These are Claude's own estimates from real conversations in April and May 2026 (Anthropic Economic Index). They describe single requests, not whole workdays, and time saved on a task doesn't mean jobs are cut. The biggest gaps:

• Compile and analyze data obtained from monitoring or diagnostic tests (about 4h 38m alone, 57m with AI)

On Indeed, job postings in the Nursing sector are at 112% of their February 2020 level (all U.S. postings: 104%), down 0.4% from a year earlier, as of Oct 9, 2026. BLS separately expects about 181,000 openings a year in this job through 2035. Across all U.S. postings, 7.3% now mention AI skills. Sector postings cover more than this one job and move for many reasons besides AI.

The median pay is about $97,550 a year ($46.90 an hour), 91% above the median for all U.S. jobs ($50,980). Most people in this job earn between $68,940 and $137,470 a year; that range covers the middle 80%. Pay figures are from BLS, May 2025, and vary a lot by state and employer. Pick a state to compare:

BLS projects growth of 5.6% from 2025 to 2035, compared with 3.5% growth for all jobs. That's about 3.7 million jobs in 2035. It expects about 181,000 openings a year, mostly from people retiring or changing careers. These projections don't single out AI as a cause.

About 3.4 million people in the U.S., roughly 2.2% of all workers (BLS, May 2025). That makes it the 6th largest of the 796 jobs on this site. BLS expects about 3.7 million in 2035.

The most common requirement is a bachelor's degree: about 50% of people in the job said so in the official O*NET survey. O*NET rates the job at level 4 of 5 for preparation, which usually means: bachelor's degree. Requirements vary by state and employer, especially for licensed work.

These come from the job's official skill ratings and from the tasks that AI and robots touch least today. Building them keeps you strong in the parts of the work that still need a person:

• Skills that matter more here than in most jobs: Monitoring, Service Orientation, Coordination, Social Perceptiveness
• Get strong at the parts of the job that stay with people (listed above), which take 7h 14m of a typical shift
• Tools employers list: eClinicalWorks EHR software, Epic Systems, MEDITECH software, Microsoft Office software, Microsoft SharePoint
• Learn to use AI well on the tasks where it already shows up in this job (listed above)

These use similar skills, with less of a typical shift touched by AI or robots. Matches come from 109 official ratings of skills, knowledge and work activities, and each needs the same or less preparation unless the official list relates the jobs directly:

• Acute Care Nurses (12m touched, $98k median pay)
• Respiratory Therapists (0m touched, $82k median pay)
• Licensed Practical and Licensed Vocational Nurses (0m touched, $64k median pay)

Each task carries its own evidence label. For this job: 2 observed in real AI use, 27 with no AI or robot evidence found. The minutes per task are estimates, not measured hours, and "no evidence" doesn't prove a task is safe.