Nurse Practitioners: daily tasks & AI impact
This page breaks Nurse Practitioners into the top 15 daily O*NET tasks and scores each for Generative AI automation probability. Those task scores roll up to an overall vulnerability index of 33/100 (Moderate automation risk). Struck-through rows are ≥80% automatable; highlighted safer rows are under 30% or primarily physical.
High-automation exposure
No task in this set currently exceeds the 80% threshold, so risk is spread across moderate probabilities rather than a few catastrophic duties.
Durable human work
This profile has little “safe” task mass under our thresholds. Workers should treat AI fluency as mandatory and actively map transferable skills into lower-risk roles.
Importance comes from O*NET incumbent ratings. Automation probability is model-generated for current Generative AI capability (not speculative AGI). Digital / physical / mixed labels describe the modality of the work, which strongly correlates with near-term automation potential.
| Task | Importance | AI probability | Nature |
|---|---|---|---|
| Maintain complete and detailed records of patients' health care plans and prognoses. Core | 4.91 | — | — |
| Develop treatment plans, based on scientific rationale, standards of care, and professional practice guidelines. Core | 4.87 | — | — |
| Provide patients with information needed to promote health, reduce risk factors, or prevent disease or disability. Core | 4.83 | — | — |
| Analyze and interpret patients' histories, symptoms, physical findings, or diagnostic information to develop appropriate diagnoses. Core | 4.82 | — | — |
| Diagnose or treat complex, unstable, comorbid, episodic, or emergency conditions in collaboration with other health care providers as necessary. Core | 4.78 | — | — |
| Prescribe medication dosages, routes, and frequencies, based on such patient characteristics as age and gender. Core | 4.78 | — | — |
| Diagnose or treat chronic health care problems, such as high blood pressure and diabetes. Core | 4.74 | — | — |
| Prescribe medications based on efficacy, safety, and cost as legally authorized. Core | 4.74 | — | — |
| Recommend diagnostic or therapeutic interventions with attention to safety, cost, invasiveness, simplicity, acceptability, adherence, and efficacy. Core | 4.73 | — | — |
| Detect and respond to adverse drug reactions, with special attention to vulnerable populations such as infants, children, pregnant and lactating women, or older adults. Core | 4.71 | — | — |
| Diagnose or treat acute health care problems, such as illnesses, infections, or injuries. Core | 4.7 | — | — |
| Counsel patients about drug regimens and possible side effects or interactions with other substances, such as food supplements, over-the-counter (OTC) medications, or herbal remedies. Core | 4.61 | — | — |
| Order, perform, or interpret the results of diagnostic tests, such as complete blood counts (CBCs), electrocardiograms (EKGs), and radiographs (x-rays). Core | 4.61 | — | — |
| Educate patients about self-management of acute or chronic illnesses, tailoring instructions to patients' individual circumstances. Core | 4.59 | — | — |
| Maintain current knowledge of state legal regulations for nurse practitioner practice, including reimbursement of services. Core | 4.55 | — | — |
What remains human
No tasks currently fall under the safe threshold for this occupation.
FAQ
Which Nurse Practitioners tasks are most exposed to AI?
No task in this set currently exceeds the 80% threshold, so risk is spread across moderate probabilities rather than a few catastrophic duties.
Which Nurse Practitioners tasks are safest from Generative AI?
This profile has little “safe” task mass under our thresholds. Workers should treat AI fluency as mandatory and actively map transferable skills into lower-risk roles.
How should I read the Nurse Practitioners task table?
Importance comes from O*NET incumbent ratings. Automation probability is model-generated for current Generative AI capability (not speculative AGI). Digital / physical / mixed labels describe the modality of the work, which strongly correlates with near-term automation potential.