Article

Top Skills for 2030

The capabilities rising fastest—and how to stack them—based on the WEF Future of Jobs 2025.

Updated October 11, 2025 ·

Executive summary

Employers signal rising demand for three capability clusters to 2030: AI and big data, networks and cybersecurity, and technological literacy. These are most valuable when paired with human advantages—creative thinking, leadership and social influence, and resilience. Your goal isn’t to learn everything; it’s to assemble a credible stack and show decisions and outcomes.

Source: WEF, Future of Jobs Report 2025 → PDF

Fastest‑growing skills

  • AI and big data – the fastest‑growing skill category to 2030.
  • Networks and cybersecurity – growing across most sectors.
  • Technological literacy – baseline proficiency rising across roles.
  • Complementary core skills on the rise include creative thinking, leadership and social influence, and resilience/flexibility.

Source: WEF, Future of Jobs Report 2025 → PDF

How to learn them quickly

  1. Pick a narrow workflow and add AI/data instrumentation; measure time saved or quality gains.
  2. Complete a beginner security lab (network basics, auth, logging) and apply it to your stack.
  3. Level up tech literacy via weekly shipping: automate a task, write a script, deploy a small service.

Starter tools: a SQL sandbox (Postgres), a BI tool (Metabase), Python or JS for scripts, and a repo with a simple CI pipeline. Don’t over‑optimize tooling; optimize throughput and clarity.

Evidence to show: before/after metrics, code links, dashboards, and a short write‑up.

Pair tech + human skills

The most durable stacks combine technical abilities with communication, problem framing, and decision quality. Show your work through shipped artifacts and quantified outcomes.

Examples: an analysis that changed a product decision; a security fix that reduced risk; an automation that freed up team time for higher‑value work.

Related: Portfolio Projects 2025 · 90‑Day Learning Plan

FAQs

Do I need certificates?

Not if you can show outcomes. A concise case study beats multiple certificates.

How much math do I need for AI and big data?

Enough to reason about metrics, distributions, and trade‑offs. Ramp deeper math later.

What if I’m non‑technical?

Start with data literacy, measurement, and decision logs. Pair with a teammate to ship one small automation.