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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

Verified magnitudes

Verified magnitudes

Reference figures from official sources. They do not yet amount to a statistical calibration.

  1. World Economic Forum, Future of Jobs Report 2025

    39 %

    of core skills changing by 2030

    • Verified
    • High confidence

    How to read it:High as it is, this figure is down from the 44% projected in the 2023 edition, a sign of some stabilisation.

    What it does NOT prove:It is an employer estimate about the future, not a measurement of skills already lost.

    www.weforum.org
  2. World Economic Forum, Future of Jobs Report 2025

    59 %

    of workers needing training by 2030

    • Verified
    • High confidence

    How to read it:The challenge is not only training more people, but closing the 11% that today falls outside any training at all.

    What it does NOT prove:The 29/19/11 breakdown is an aggregate projection; it does not guarantee how it will split across countries or sectors.

    www.weforum.org
  3. World Economic Forum, Future of Jobs Report 2025

    63 %

    of employers cite the skill gap as the top barrier

    • Verified
    • High confidence

    How to read it:Companies see the lack of talent, not the lack of technology, as their main brake.

    What it does NOT prove:It is the self-reported perception of surveyed employers, not an objective measurement of the gap.

    www.weforum.org
  4. World Economic Forum, Future of Jobs Report 2025

    85 %

    of employers will prioritise upskilling

    • Verified
    • High confidence

    How to read it:The intent to invest in training is nearly universal; the challenge is turning intent into real, accessible programmes.

    What it does NOT prove:It measures stated plans, not committed budget or training outcomes.

    www.weforum.org
  5. PwC, 2025 Global AI Jobs Barometer

    56 %

    AI-skills wage premium

    • Verified
    • High confidence

    How to read it:Knowing how to use AI is no longer a bonus: it translates into salary, and the premium more than doubled in a year.

    What it does NOT prove:It draws on job postings across a set of countries; it reflects advertised, not necessarily paid, wages and may skew towards highly qualified profiles.

    www.pwc.com
  6. PwC, 2025 Global AI Jobs Barometer

    66 %

    faster skill change in AI-exposed jobs

    • Verified
    • High confidence

    How to read it:Where AI arrives, the shelf life of each skill shortens: the pressure to relearn is greatest exactly where the technology is most intense.

    What it does NOT prove:It measures turnover in the skills named in job postings, not the real depth of change on the job.

    www.pwc.com
  7. PwC, 2025 Global AI Jobs Barometer

    27 %

    productivity growth in AI-exposed industries

    • Verified
    • Medium confidence

    How to read it:In this phase, AI is augmenting human work more than replacing it: the dominant lever is productivity, not layoffs.

    What it does NOT prove:It is a snapshot of an early phase; it does not project what happens if automation deepens, and aggregate job growth can mask losses in specific tasks.

    www.pwc.com

Bar lengths are relative within this chart only. They are not an index score, nor a comparison between sources sharing one methodology.

Verified pulse

Visual reading of figures linked to an official source. Each card carries its confidence chip and links to the full claim card below.

  • Tier 12025-2030

    39 %

    of core skills changing by 2030

    World Economic Forum, Future of Jobs Report 2025

    • Verified
    • High confidence
  • Tier 12030

    59 %

    of workers needing training by 2030

    World Economic Forum, Future of Jobs Report 2025

    • Verified
    • High confidence
  • Tier 12025-2030

    63 %

    of employers cite the skill gap as the top barrier

    World Economic Forum, Future of Jobs Report 2025

    • Verified
    • High confidence
  • Tier 12025-2030

    85 %

    of employers will prioritise upskilling

    World Economic Forum, Future of Jobs Report 2025

    • Verified
    • High confidence
  • Tier 22025

    56 %

    AI-skills wage premium

    PwC, 2025 Global AI Jobs Barometer

    • Verified
    • High confidence
  • Tier 22025

    66 %

    faster skill change in AI-exposed jobs

    PwC, 2025 Global AI Jobs Barometer

    • Verified
    • High confidence
  • Tier 22018-2024

    27 %

    productivity growth in AI-exposed industries

    PwC, 2025 Global AI Jobs Barometer

    • Verified
    • Medium confidence

Global pulse

Six signals on how what we know how to do is being reshaped.

Figures from verified primary sources (WEF, PwC). Each data point links to its origin.

  • Core skills that will change by 2030

    39%

    Almost two in five central skills will become outdated or transformed this decade.

    Source: WEF, Future of Jobs Report 2025

    • Verified
    • High confidence
  • Workers who will need training by 2030

    59%

    Most of the workforce will require reskilling or upskilling before the decade ends.

    Source: WEF, Future of Jobs Report 2025

    • Verified
    • High confidence
  • Workers at risk for lack of reskilling

    11%

    One in nine will not receive the training they need: the real bottleneck is access, not technology.

    Source: WEF, Future of Jobs Report 2025

    • Verified
    • High confidence
  • AI-skills wage premium

    56%

    Profiles with AI skills earn 56% more, up from 25% a year earlier: the value gap is widening.

    Source: PwC, 2025 Global AI Jobs Barometer

    • Verified
    • High confidence
  • Employers who see skill gaps as the top barrier

    63%

    Skill shortages are the leading brake on business transformation in 2025-2030, ahead of any other obstacle.

    Source: WEF, Future of Jobs Report 2025

    • Verified
    • High confidence
  • Employers who will prioritise upskilling

    85%

    Eight in ten firms plan to invest in upskilling their workforce as their primary response.

    Source: WEF, Future of Jobs Report 2025

    • Verified
    • High confidence
  • How much faster skills change in AI-exposed jobs

    +66%

    In the occupations most exposed to AI, the skills employers ask for change 66% faster.

    Source: PwC, 2025 Global AI Jobs Barometer

    • Verified
    • High confidence
  • Expected change in job skills by 2030

    ~70%

    LinkedIn estimates around 70% of the skills used in a job will have changed by 2030, accelerated by generative AI.

    Source: LinkedIn Economic Graph

    • Official source linked
    • Medium confidence

Exponential context

The forces behind the change

Not this dashboard's own metrics, but the exponential curves that explain it: why change arrives this fast and the pressure on work and skills keeps accelerating.

Chart· logarithmic scale

The compute used to train AI models is soaring

Training compute (petaFLOP)1001 mil10 mil100 mil1 M10 M100 M1 mil M10 mil M100 mil M2012201620182019202020222023Training compute (petaFLOP) (log)
The training compute of notable AI models grew millions of times over between AlexNet (2012) and GPT-4 (2023). It is best shown on a logarithmic scale.
Source · Epoch AI / Our World in Data

Chart

Time to reach 100M users

  1. Internet abierto84meses
  2. Facebook54meses
  3. Instagram30meses
  4. TikTok9meses
  5. ChatGPT2meses
The open internet took 7 years. ChatGPT did it in 2 months. The acceleration is not a matter of degree — it's a matter of kind.
Source · Estimaciones UBS / Reuters / Statista