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Talent & Augmented Skills Observatory

Work is not disappearing as fast as the skills it demands are changing. By 2030 two in five core skills will have shifted and nearly six in ten workers will need training; those who pair their craft with AI command a measurable wage premium. The question is no longer whether you will be replaced, but whether you will have real access to relearn.

Work is not disappearing as fast as the skills it demands are changing. By 2030 two in five core skills will have shifted and nearly six in ten workers will need training; those who pair their craft with AI command a measurable wage premium. The question is no longer whether you will be replaced, but whether you will have real access to relearn.
  • No editorial index
  • Curated monthly
  • Weekly source watcher
  • Experimental

What changed

  • Manual entry
  • Pending refresh
  • Next version: real per-source signals

What changed. Why it matters. Who it affects. What decision it suggests.

Editorial cadence: we review the Tier 1–2 sources when they publish their annual cut. Last review: 2026-05-15.

  1. 2025-01-08

    WEF Future of Jobs 2025: the change in core skills drops from 44% (2023) to 39% by 2030.

    The expected churn of skills eases versus the prior report, yet 59% of workers will still need training and 11% would be left without access to it.

    Workers and training leaders: the urgency is not only the pace of change but closing the access gap.

    Treat the figure as a stabilising expectation and prioritise reskilling the 11% that today falls outside any training.

  2. 2025-06-03

    PwC Global AI Jobs Barometer 2025: the AI-skills wage premium jumps from 25% to 56% in a year.

    The market value of knowing how to use AI more than doubled, and employment keeps growing even in the most automatable occupations: in this phase augmentation dominates, not substitution.

    Professionals in cognitive roles: the wage-premium window is open, but it is an early advantage, not a permanent one.

    Invest in AI-complementary skills while the premium is still an edge rather than a minimum requirement.

Source map

The observatory groups its sources by editorial priority. Tier 1 sets the underlying reading; Tier 2 adds near-real-time market signal.

  1. Tier 1

    Multilateral bodies and official statistics

    Macro projections and public statistics on employment, skills and training.

    Sources

    • WEF
    • OECD
    • ILO
    • Eurostat

    They set the underlying reading: how many skills change, how many workers need training, and who is left without access.

  2. Tier 2

    Labour-market and industry analytics

    Job-posting analysis and sector studies that capture skill demand in near-real time.

    Sources

    • PwC
    • McKinsey
    • LinkedIn
    • Lightcast

    They add the market signal —wage premium, skill-change velocity— with their declared coverage bias (built on job postings, not censuses).