What "knowledge-based" means
These roles depend on understanding principles — mathematics, algorithms, systems — that stay useful as tools change.
Examples
- Artificial intelligence and machine learning — building and evaluating models.
- Data science — statistics, experimentation and prediction.
- Cybersecurity — protecting systems and investigating attacks.
- Cloud and distributed systems — designing reliable large-scale platforms.
- Research and development — in universities, labs and product companies.
How the work is changing
The World Economic Forum's Future of Jobs Report 2025 (checked 2026-10-28) lists technology skills such as AI, big data and cybersecurity among the fastest-growing skill areas employers expect to need.
How to prepare
A strong base in mathematics and programming, projects you can show, and the habit of reading documentation and research.
Deciding whether it fits you
A field can look exciting from the outside and still be a poor fit. Before committing, talk to two or three people already doing the work, try a short course or project, and notice whether the day-to-day tasks energise or drain you. A structured conversation with a mentor can help you compare options against your interests, abilities and values rather than trends alone.