About AI Career Graph
AI Career Graph is a career-mapping project for the AI era — beyond describing jobs, it helps you judge which roles get compressed by AI, which get amplified, what to build over the next 5 years, and which more durable roles you can pivot to.
Who we are
AI Career Graph is a career-mapping project for the AI era, helping students, career changers, migration applicants and working professionals understand the risks, opportunities and transition paths of different occupations across countries.
The problem we solve
We don’t simply ask “will AI replace this job?” — we break down which tasks within a job get automated, which get amplified, and which capabilities still require humans.
We group occupations into 6 clusters (high AI exposure / AI-augmented / licensed / on-site / human-trust / regulated) and annotate each: tasks AI will take over, tasks AI will augment, the human moat, whether entry-level narrows, an AI-era upgrade path, and adjacent careers to pivot to if risk is high.
How we analyse occupations
Each occupation is scored across several dimensions: AI automation risk, human moat, entry-level narrowing, AI-augmentation upside, salary, demand, licensing and migration friendliness.
The AI Career Map visualises occupations on a 2D matrix (automation exposure × human accountability/on-site). The AI-era rankings give several lists across these dimensions, computed by transparent, reproducible formulas — not hand-picked.
The 11 rating dimensions
Each occupation is scored across the following 11 dimensions (10-point scale, shown as stars on detail pages). Dimensions are either positive or negative: for positive ones higher is better, for negative ones lower is better. The overall score averages them after inverting the negative dimensions.
- Income
- Higher is better: greater pay ceiling and bargaining power
- Demand
- Higher is better: more openings, easier to find work
- Prospects
- Higher is better: stronger industry growth and advancement
- PR Friendly
- Higher is better: smoother skilled-migration pathway
- AI Risk
- Lower is better: less likely to be automated
- Competition
- Lower is better: fewer rivals for jobs and promotion
- Intensity
- Lower is better: less physical strain and overtime
- Learning
- Lower is better: easier to get started
- Duration
- Shorter is better: faster entry to the field
- Certification
- Lower is better: qualifications easier to obtain
- PR Difficulty
- Lower is better: fewer migration hurdles and shorter queues
Data sources & methodology
We aggregate public data: job-platform salary ranges, official occupation classifications (e.g. ANZSCO for Australia/New Zealand, NOC for Canada), migration authorities’ occupation lists and employment agencies’ demand forecasts, and build a scoring model on top.
All salaries, scores and migration details are estimates and indicative only, updated periodically — always rely on the latest official sources.
What we don’t do
We don’t sell courses, and we don’t provide migration, legal or financial advice, nor guarantee employment or visa outcomes. All content is for information only.
What’s next
Starting with Australia, we are expanding to Canada, New Zealand and more, continuing to refine the AI-era analysis and career-path data for each country.
Country data sources
Salary, licensing and migration details differ by country and follow each country’s official sources. See the country guide for full source links: