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What the numbers say

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What the numbers say

A snapshot from the research as of June 2026 — and worth re-checking each quarter, because these move.

If you remember one number, remember this: roughly 40% of jobs globally are exposed to AI. Exposed means the work changes — not that everyone gets fired on Friday. In advanced economies like the UK it's closer to 60%, simply because more of our work is office-shaped to begin with.

Sources and more detail (optional)

IMF (Jan 2024)staff analysis: ~40% global employment exposed; ~60% in advanced economies. Split between roles AI may complement (help you) vs substitute (replace parts) — both matter.

BCG (2026)labour modelling: 50–55% of US jobs reshaped in the next 2–3 years; 10–15% of US jobs potentially eliminated in ~5 years in their scenario — not a law of physics.

World Economic Forum (2025)Future of Jobs Report: 92 million jobs displaced vs 170 million created by 2030 in their model (net positive). Still massive churn — 22% of jobs touched — and robotics flagged as a net displacer among tech trends.

Three ways people read these numbers wrong — and I want you to dodge all three:

  • "Nobody really loses," because net job creation sounds cheery. Wrong — your sector can shrink hard while others grow.
  • "Everyone's fired Friday," read straight off an exposure percentage. Wrong — it means pressure to reshape roles now, not a P45 in the post.
  • "Nothing's actually happening," because the unemployment headline looks calm. Wrong — the entry-level funnel can collapse while the big aggregate number stays flat.

Continue — and juniors are feeling it first.

Warning

Real power. Educational use only.

What we teach you to build is genuinely powerful — uncensored assistants, agents, and automations on your own hardware. In the wrong hands, that is as dangerous as malicious code in the wrong hands. We do not teach illegal, malicious, or harmful use. You are responsible for what you deploy.

See what we mean →