Will AI replace health informatics specialists?

Not replace, but it is changing the job. About 1h 37m of an 8-hour shift goes to tasks touched by AI working on its own. The breakdown: 18m done by people with AI help, 1h 19m that AI mostly does alone. The other 6h 23m (80%) stays with people. Separately, BLS expects about 7.9% more of these jobs by 2035 (all jobs: +3.5%).

AI shows up regularly in 3 of 17 tasks, about 1h 37m of a typical shift. The biggest ones:

• Design, develop, select, test, implement, and evaluate new or modified informatics solutions, data structures, and decision-support mechanisms to support patients, health care professionals, and their information management and human-computer and human-technology interactions within health care contexts. (1h 1m a shift, AI mostly does it alone)
• Develop or implement policies or practices to ensure the privacy, confidentiality, or security of patient information. (18m a shift, AI mostly does it alone)
• Read current literature, talk with colleagues, and participate in professional organizations or conferences to keep abreast of developments in informatics. (18m a shift, people use AI to help)

Not in workplaces like this one, based on a 2026 review of robot deployments. For 1 physical task, no robot has shown it can do the work yet.

6h 23m of a typical shift, or 80%, 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:

• Translate nursing practice information between nurses and systems engineers, analysts, or designers, using object-oriented models or other techniques. (49m a shift)
• Develop or deliver training programs for health information technology, creating operating manuals as needed. (49m a shift)
• Use informatics science to design or implement health information technology applications for resolution of clinical or health care administrative problems. (43m a shift)
• Provide consultation to nurses regarding hardware or software configuration. (43m a shift)
• Analyze and interpret patient, nursing, or information systems data to improve nursing services. (36m a shift)

Part of the answer is the setting, not just the tasks. Work that is in person, hands on or high stakes is where AI and robots have made the least headway so far. In the official O*NET survey of people in this job:

• 65% talk face to face with others every day

For the 1 task in this job where AI shows up and timing data exists, a typical request takes about 10h 24m for a person alone and about 30m 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:

• Design, develop, select, test, implement, and evaluate new or modified informatics solutions, data structures, and decision-support mechanisms to support patients, health care professionals, and their information management and human-computer and human-technology interactions within health care contexts (about 10h 24m alone, 30m with AI)

On Indeed, job postings in the IT Systems & Solutions sector are at 77% of their February 2020 level (all U.S. postings: 104%), up 10.8% from a year earlier, as of Oct 9, 2026. BLS separately expects about 33,000 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 $105,850 a year ($50.89 an hour), 108% above the median for all U.S. jobs ($50,980). Most people in this job earn between $67,340 and $167,710 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 7.9% from 2025 to 2035, compared with 3.5% growth for all jobs. That's about 587,000 jobs in 2035. It expects about 33,000 openings a year, mostly from people retiring or changing careers. These projections don't single out AI as a cause.

About 520,000 people in the U.S., roughly 0.33% of all workers (BLS, May 2025). That makes it the 77th largest of the 796 jobs on this site. BLS expects about 587,000 in 2035.

The most common requirement is a master's degree: about 52% of people in the job said so in the official O*NET survey. O*NET rates the job at level 5 of 5 for preparation, which usually means: graduate 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: Systems Evaluation, Systems Analysis, Complex Problem Solving, Learning Strategies
• Get strong at the parts of the job that stay with people (listed above), which take 6h 23m of a typical shift
• Tools employers list: Tableau, Structured query language SQL, SAS, R, Python
• Learn to use AI well on the tasks where it already shows up in this job (listed above)

These use similar skills. 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:

• Medical and Health Services Managers (31m touched, $124k median pay)
• Information Technology Project Managers (2h 49m touched, $117k median pay)
• Clinical Data Managers (2h 18m touched, $120k median pay)

Each task carries its own evidence label. For this job: 3 observed in real AI use, 14 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.