Workforce intelligence · 2026 forecast

Will AI replace your job — or your team?

Get a free risk score in 60 seconds for any of 50 roles, calibrated to 30 industries and 16 countries. Or paste your full roster and download a board-ready workforce plan with retraining paths.

Workforce planning + augmentation, not a termination tool. Methodology open and auditable.

Why this matters now

Two-thirds of knowledge work will look different in 36 months.

The honest answer for most roles is not REPLACE — it is AUGMENT, with a 2–5× productivity uplift for the workers who learn the new tools. We built this calculator so leaders can plan that transition with numbers, not vibes.

  • 300M jobs exposed

    Goldman Sachs estimates 300M full-time-equivalent roles globally are exposed to generative AI augmentation by 2030.

  • 60–70% augmented, not replaced

    McKinsey Global Institute projects most exposed roles will be reshaped, not eliminated — productivity, not pink slips.

  • 18–24 months to act

    Brookings AI exposure index suggests the operationally meaningful retraining window is shorter than most CEOs assume.

Pick your path

Single role in 60 seconds. Whole roster in five minutes.

Path A · 60 seconds

Single-role lookup

Anonymous. Pick a role, an industry, and a country — get a 0–100 risk score, classification, major-impact horizon, and three retraining paths. Download the share card to send to your team.

Path B · 5 minutes

Company roster

Bulk-paste your roster from a spreadsheet. We classify every role into REPLACE / AUGMENT / UNCHANGED, surface your top five impacted roles, and deliver a 90-day workforce transition plan as a board-ready PDF.

How we score

Five dimensions per role. No LLM in the scoring path.

Every role gets scored 0–100 across five dimensions, then adjusted for industry and country. The math is rule-based and deterministic — two users with the same inputs always see the same answer.

  • 01

    Task automation

    Share of tasks current and projected AI can do without supervision.

  • 02

    Augmentation potential

    Where AI delivers 2–5× productivity for the human still doing the work.

  • 03

    Judgment requirement

    Ethics, fiduciary duty, and relationships that resist automation.

  • 04

    Physical / regulatory barrier

    Embodiment, licensing, and legal protection that slow AI adoption.

  • 05

    Adoption pace by country

    Industry maturity and labour-market velocity in 16 ICP countries.

Read every formula and source

Coverage

50 roles. 30 industries. 16 countries.

50

Roles scored

Phase 1 catalogue

30

Industry overlays

Per-industry × per-role

16

Country adoption

Per-region pace factors

5

Scoring dimensions

Audited weights

Browse the data

Editorial views of the same engine.

Editorial view

Jobs AI will replace

The 50 highest-risk roles, ranked by score with retraining paths.

Open Editorial view

Jobs AI won't replace

The roles where humans still own the work — and why.

Open Editorial view

90-day transition playbook

How CEOs phase augmentation without losing trust.

Open

Open methodology

Every weight, every source, on one page.

The methodology page publishes the formulas, the per-industry overlays, the country adoption-pace factors, the data refresh cadence, and the disclaimers. Reviewed by an external labour economist at every major version.

Open the methodology

Frequently asked

Questions buyers ask.

How does the risk score work?

The score combines five signals per role — task automation, augmentation potential, judgment requirement, physical requirement, and regulatory barrier — into a 0–100 risk score. The full math is on the methodology page.

Where does the underlying data come from?

O*NET (US Department of Labor), Goldman Sachs, McKinsey Global Institute, Brookings AI exposure index, and the WEF Future of Jobs report. Each role lists its specific sources.

How accurate is this for my exact role?

It is a directional planning tool, not a personnel decision. Confidence is shown on every result. Use it for workforce planning and augmentation, not termination decisions.

Why does the same role show different scores for different industries?

Industry context matters: regulated industries slow automation, tech-forward industries accelerate it. We apply per-industry × per-role multipliers calibrated to research evidence.

Does AI replace jobs or augment them?

Most knowledge-worker roles are AUGMENT, not REPLACE. The same engine that flags risk also surfaces three retraining paths per at-risk role.

Is the company report exportable?

Yes — the Path B (company roster) flow generates a board-ready PDF you can download from the dashboard.

Is the calculator free?

Yes. Path A (single-role lookup) is anonymous and free. Path B (company roster) requires a free Google sign-in to gate the report.

Do you store my roster?

Path A is anonymous (we hash IPs only for abuse detection). Path B persists submissions to your Google-authenticated account; you can delete them via /tools/me/delete.

How often is the data refreshed?

We refresh role + industry data quarterly. The methodology page logs each refresh.

Who built this?

The buzzi.ai team. We use the same model internally to plan customer engagements and we open-source the methodology.

Want a second opinion?

Talk to a buzzi consultant — free 30 min.

No pitch. We’ll review your top three at-risk roles, sanity-check the retraining paths, and tell you whether to hire, retrain, or wait.

Book the call