None — and a few. No technology is truly “future-proof,” but some problem spaces will remain persistent:
- Data: how we collect, clean, connect, and make decisions from it
- Automation: how we reduce friction in processes and systems
- Security: how we protect digital lives as more of our world moves online
- Experience: how we design products, services, and interactions around humans
- Learning: how we build systems to support lifelong learning and reskilling
These areas will evolve — today it’s Python and Power BI; tomorrow it might be something else. But the underlying principles will remain. Focus on how systems behave, not just what they’re made of.
