How exposed this work is to automation, shown as ranges with the reasoning and sources.
The short version: this role is moderately exposed to automation, and meaningful change looks likely over the next 5 to 10 years.
It is a sourced range, not a verdict, and the detail is below.
Built on O*NET tasks, BLS pay and projections, and peer-reviewed AI-exposure research. Sources shown.
Data snapshot SNAPSHOT-2026-11-06. How it works
AI / softwarerange 34.6 to 58.6
Physical / roboticsrange 10.2 to 34.2
When the change is likely
Partial, 5 to 10 yearslocal demand stable
What to do about it
Use AI to outpace AI.
Strategies to protect your livelihood, most important first.
1
Use your 5 to 10 year runway
Change here is gradual. Build resilient skills steadily and watch the signals rather than waiting for a shock.
2
Lean into the human edge
The exposed parts are routine and cognitive. Invest in judgment, client relationships, and complex problem-solving that AI still cannot do.
3
Pivot toward Clinical Nurse Specialists
It is skill-adjacent and less exposed (33.3 vs 47). A lateral move now beats a forced one later.
4
Build a financial buffer
Keep 6 to 12 months of expenses and diversify your income, so a disruption is a setback rather than a catastrophe.
5
Add a recognised credential
A certification or license raises the bar against automation and signals value in a tightening market.
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Which of my tasks are exposed
Schedule subjects for appointments, procedures, or inpatient stays as required by study protocols.
46.6
Perform specific protocol procedures such as interviewing subjects, taking vital signs, and performing electrocardiograms.
100.0
Assess eligibility of potential subjects through methods such as screening interviews, reviews of medical records, or discussions with physicians and nurses.
50.0
Prepare study-related documentation, such as protocol worksheets, procedural manuals, adverse event reports, institutional review board documents, or progress reports.
50.0
Inform patients or caregivers about study aspects and outcomes to be expected.
50.0
Record adverse event and side effect data and confer with investigators regarding the reporting of events to oversight agencies.
50.0
Monitor study activities to ensure compliance with protocols and with all relevant local, federal, and state regulatory and institutional polices.
50.0
Oversee subject enrollment to ensure that informed consent is properly obtained and documented.
50.0
Longer, orange bars are more automatable; short green bars are resistant.
What is driving my result
lowers risk
raises risk
Task: Perform specific protocol procedures such as interviewing subjects, taking vital signs, and performing electrocardiograms.
Task: Assess eligibility of potential subjects through methods such as screening interviews, reviews of medical records, or discussions with physicians and nurses.
Lower-risk adjacent roles
Clinical Nurse Specialists
33.3
Medical and Health Services Managers
37.1
Health Specialties Teachers, Postsecondary
38.8
A full, ranked mitigation plan is part of the paid tiers.
How this score is calculated
Map Clinical Research Coordinators to its standard O*NET task list (8 core tasks).
Score each task for AI/software exposure (Eloundou et al. 2023) and physical/robotics exposure (an O*NET work-context proxy), each 0 to 100.
The two axis scores are the task averages: AI 46.6, robotics 22.2.
The timeline comes from the higher axis (46.6), shifted for local demand (stable), and seniority. It is read against your remaining working years.
Ranges are about ±12 points. A backtest against real BLS employment change shows the risk ranking holds in aggregate, but individual outcomes are predicted weakly, so results are ranges, never a flat verdict.
Sources: O*NET, Eloundou et al. (2023), GPTs are GPTs, O*NET Work Context, BLS CPI-U, BLS OEWS.
Snapshot SNAPSHOT-2026-11-06. Full method and backtest on How it works.