Compare roles · AI exposure side by side
Tutors
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
Very High adoption
In one line
AI tutors now explain concepts, mark practice work and adapt to each learner on demand, pushing human tutors toward motivation, accountability and harder cases.
Inputs behind the score · scaled 0–100
Task applicability
58Observed usage
54Official exposure tier
100Labour-market trajectory
n/aPublished adoption rating
85What is driving it
- Conversational AI tutors
- Subject-specific apps
- Platform integration
- Student-led adoption
- Cost pressure on families and schools
- Adaptive learning data
Skills worth building
- Diagnostic teaching
- Motivation and coaching
- AI tool fluency
- Special needs expertise
- Exam and curriculum knowledge
- Parent and student communication
Tools in the work now
Where the work moves
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.