36
/100

SOC 29-2061

Licensed Practical and Licensed Vocational Nurses

ModerateFrey/Osborne: 5.8%

Risk Score

โš ๏ธ

36/100

Moderate

US Employment

๐Ÿ‘ฅ

632,430

Total workers

Median Wage

๐Ÿ’ฐ

$62K

$48K โ€“ $81K

Projected Growth

๐Ÿ“ˆ

+2.6%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

46/100

Moderate exposure

How we calculate these numbers โ†’

๐Ÿ’ก Licensed Practical and Licensed Vocational Nurses face a risk score of 36/100 โ€” 8 points below the national average of 44. With only 46/100 GenAI exposure, most core tasks remain resistant to current AI capabilities. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $62K ($16K above the national median). The 3 recommended career transitions all maintain competitive wages while reducing automation exposure. Explore transition paths โ†’

๐Ÿ” AI Impact Analysis

With a risk score of 36/100, Licensed Practical and Licensed Vocational Nurses faces moderate automation pressure. While tasks like administrative automation of medical billing and coding are increasingly handled by AI, the role retains significant human elements. The 632,430 workers in this occupation should focus on strengthening skills in ethical decision-making in end-of-life situations and interdisciplinary care coordination to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Licensed Practical and Licensed Vocational Nurses?

Read our full analysis with verdict, risk factors, safe tasks, and career transition paths โ†’

โš ๏ธ Top Risk Factors

1

Administrative automation of medical billing and coding

2

AI clinical decision-support tools guiding treatment

3

Natural language processing for clinical documentation

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Ethical decision-making in end-of-life situations

โœ“

Interdisciplinary care coordination

โœ“

Hands-on physical examination and procedures

โœ“

Complex clinical judgment in ambiguous presentations

๐Ÿ“Š Task Automation Breakdown

Based on O*NET task analysis and GenAI exposure scoring. Shows the estimated proportion of this occupation's core tasks that are automatable by current AI, augmented by AI tools, or require essential human skills.

๐Ÿ“‹ O*NET Task Profile

โ€ข

Observe patients, charting and reporting changes in patients' conditions, such as adverse reactions to medication or treatment, and taking any necessary action.

โ€ข

Measure and record patients' vital signs, such as height, weight, temperature, blood pressure, pulse, or respiration.

โ€ข

Administer prescribed medications or start intravenous fluids, noting times and amounts on patients' charts.

โ€ข

Provide basic patient care or treatments, such as taking temperatures or blood pressures, dressing wounds, treating bedsores, giving enemas or douches, rubbing with alcohol, massaging, or performing catheterizations.

โ€ข

Answer patients' calls and determine how to assist them.

๐Ÿ’ป Technology Skills

โ€ข

Categorization or classification software

โ€ข

Medical software

โ€ข

Video conferencing software

โ€ข

Cloud-based data access and sharing software

โ€ข

Inventory management software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Customer and Personal Service

โ€ข

English Language

โ€ข

Psychology

โ€ข

Medicine and Dentistry

โ€ข

Administration and Management

๐Ÿ“Š vs National Average

Median Wage$62K
+$16K

National avg: $46K

Risk Score36/100
-8

National avg: 44/100

GenAI Exposure46/100
+8

National avg: 38/100

Projected Growth2.6%
-1.1%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Dentists, All Other Specialists13$226K76%
Dentists, General24$173K84%
Occupational Therapists28$98K76%