Compare roles · AI exposure side by side
Licensed Practical Nurses
Put up to three roles next to each other: the exposure figure, the inputs behind it, the window, what is driving change, and where the work moves. Every figure comes from the same method, so the gap between two scores means something.
Exposure
Window · adoption
until most of the change has landed
Low-Medium adoption
In one line
AI touches charting, scheduling and monitoring alerts, but bedside care, medication rounds and patient observation remain hands-on work.
Inputs behind the score · scaled 0–100
Task applicability
7Observed usage
0Official exposure tier
10Labour-market trajectory
n/aPublished adoption rating
25What is driving it
- Low generative-AI task overlap
- Health record documentation features
- Patient monitoring and early-warning systems
- Automated dispensing and supply logistics
- Workforce shortages
- Slow adoption in long-term care
Skills worth building
- Clinical observation and assessment
- Hands-on procedural competence
- Working with monitoring systems
- Health record fluency
- Communication and reassurance
- Career progression planning
Tools in the work now
Where the work moves
More exposed
Different skills, growing
Complementary, less exposed
Full report
Scores are the CareerGuard Exposure Index v2: the same five inputs and weights for every role, so a gap of ten points means the same thing wherever it appears. How scores are built.