AI Labour Impact Observatory

IILE-IA provisional reading

IILE-IA provisional reading

State and pressure are derived from IILE-IA total v0.2 = 58.7 / 100, which falls in the Active transformation band (range 41-60). The six per-dimension scores are published with confidence: low.

Current state

Active transformation

Labour pressure

high

Confidence

medium

Calibration

partial

Dimensions with a verified claim

4/6

This is a provisional editorial reading, not a calibrated statistical index.

Evidence map by dimension

Executive radar: evidence strength

One row per IILE-IA dimension. Segments express a qualitative level (NOT a numeric score).

Qualitative scale: insufficient signal · partial evidence · needs more sources · strong initial evidence

1. ETechnical exposure

   strong initial evidence

   2 linked claims

   Tasks theoretically automatable or augmentable.

2. AReal adoption

   needs more sources

   0 linked claims

   Organisations already using AI in production.

3. TTask transformation

   strong initial evidence

   2 linked claims

   How real role tasks are changing.

4. SSkill velocity

   partial evidence

   1 linked claims

   Pace at which demanded skills are changing.

5. MLabour-market signal

   strong initial evidence

   2 linked claims

   Vacancies, salaries and observed market demand.

6. BAdaptation gap

   needs more sources

   0 linked claims

   Distance between change pace and capacity to absorb it.

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

   22 %

   of jobs disrupted by 2030

   • Official source linked
   • High confidence

   How to read it:Read it as transformation, not destruction: creation, displacement and reshape combined.

   What it does NOT prove:An employer-survey forecast, not an observed net-employment measurement.

   www.weforum.org

2. World Economic Forum — Future of Jobs Report 2025

   39 %

   of key skills changed by 2030

   • Official source linked
   • High confidence

   How to read it:The minimum-employability bar moves: keeping a job is not enough — the skills mix must update.

   What it does NOT prove:Intensity varies by sector, country and occupation.

   www.weforum.org

3. IMF — Gen-AI: Artificial Intelligence and the Future of Work

   40 %

   of global employment exposed

   • Official source linked
   • High confidence

   How to read it:Exposure measures potential impact, not automatic substitution.

   What it does NOT prove:Exposure does not equal job loss; some work may be augmented.

   www.imf.org

4. IMF — Gen-AI: Artificial Intelligence and the Future of Work

   60 %

   of advanced-economy jobs exposed

   • Official source linked
   • High confidence

   How to read it:Pressure does not fall only on routine work: cognitive tasks are particularly affected.

   What it does NOT prove:Complementarity and institutional readiness can change the final outcome substantially.

   www.imf.org

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 12030

  22 %

  of jobs disrupted by 2030

  World Economic Forum — Future of Jobs Report 2025

  • Official source linked
  • High confidence

• Tier 12030

  39 %

  of key skills changed by 2030

  World Economic Forum — Future of Jobs Report 2025

  • Official source linked
  • High confidence

• Tier 12024

  40 %

  of global employment exposed

  IMF — Gen-AI: Artificial Intelligence and the Future of Work

  • Official source linked
  • High confidence

• Tier 12024

  60 %

  of advanced-economy jobs exposed

  IMF — Gen-AI: Artificial Intelligence and the Future of Work

  • Official source linked
  • High confidence

• Tier 12025

  52,558

  data points in the methodology

  ILO — Generative AI and Jobs: A Refined Global Index of Occupational Exposure

  • Official source linked
  • High confidence

• Tier 12025

  25 %

  approx. of jobs exposed to transformation

  ILO — Generative AI and jobs: A 2025 update

  • Official source linked
  • Medium confidence

• Tier 32025

  No numeric metric

  Stanford HAI — AI Index 2025 Economy chapter

  • Official source linked
  • Medium confidence

Global pulse

Ten global signals curated from the source registry and the editorial claims. Each KPI declares its source, confidence, and verification status.

Curated from operator brief: editorial proposal pending URL + exact date verification before being quoted as definitive.

• Jobs that will change by 2030

  22%

  WEF projection (170M new roles, 92M displaced).

  Source: World Economic ForumIILE-IA component · T

  • Curated from brief
  • High confidence

• Workers who will need reskilling/upskilling

  59 in 100

  Before 2030, per the WEF.

  Source: World Economic ForumIILE-IA component · S

  • Curated from brief
  • High confidence

• Global jobs exposed to AI

  ~40%

  Up to ~60% in advanced economies, per the IMF.

  Source: IMFIILE-IA component · E

  • Curated from brief
  • High confidence

• Workers in occupations exposed to GenAI

  1 in 4

  ILO 2025 — most will be transformed rather than disappear.

  Source: ILOIILE-IA component · E

  • Curated from brief
  • High confidence

• Wage premium for AI skills

  56%

  PwC Global AI Jobs Barometer 2025 (Lightcast: 28% / ~$18K/yr).

  Source: PwCIILE-IA component · M

  • Curated from brief
  • Medium confidence

• Skills that will change by 2030

  70%

  LinkedIn Economic Graph.

  Source: LinkedInIILE-IA component · S

  • Curated from brief
  • Medium confidence

• Jobs highly transformable by GenAI

  26%

  Indeed GenAI Skill Transformation Index (US).

  Source: Indeed Hiring LabIILE-IA component · T

  • Curated from brief
  • Medium confidence

• Companies mature in AI deployment

  1%

  McKinsey — most are still piloting.

  Source: McKinseyIILE-IA component · B

  • Curated from brief
  • Medium confidence

• Jobs with ≥25% of tasks done with Claude

  ~49%

  Anthropic Economic Index (Mar 2026) — platform telemetry.

  Source: AnthropicIILE-IA component · A

  • Curated from brief
  • Medium confidence

• Population GenAI adoption in 3 years

  53%

  Stanford HAI — faster than PC or internet.

  Source: Stanford HAIIILE-IA component · A

  • Curated from brief
  • High 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.

Spain in the observatory

The Spanish labour market against AI

Spain is converging with the EU baseline on enterprise AI adoption, but Funcas' central scenario for 2025-2035 paints a net-negative labour market. Three headlines plus an EU comparison.

• Net employment · 2025-2035 (central scenario)

  −400 K

  Jobs destroyed between −1.7M and −2.3M; jobs created +1.61M. The net is negative but creation covers two thirds of destruction.

  Funcas · 2025

• Spanish firms (≥10 employees) using AI

  21.1 %

  Q1 2025 vs 12.4 % in 2023. Enterprise adoption nearly doubles in two years, focused on services and advanced manufacturing.

  Funcas · Q1 2025

• Female employment ES in high-exposure occupations

  9.6 %

  Versus 3.5 % for male employment. Occupational exposure is gender-asymmetric — administrative and care occupations are over-represented.

  ILO–NASK · 2025

All figures are projections or official statistics with declared methodologies. Funcas publishes its central scenario alongside a low and a high range; we surface the central. Cross-check with Randstad Research ES for a complementary employer-employee reading.