Press kit · April 2026
Cover the AI workforce story responsibly.
Use these quotable stats and methodology pointers when covering AI workforce impact. We’re available for analyst interviews and on-the-record commentary — see contact below.
Key stats (2026)
Quotable, attribution-friendly numbers.
50
Roles scored
Across 30 industries and 16 countries in Phase 1.
5
Scoring dimensions
Automation, augmentation, judgment, physical, regulatory.
0
LLMs in scoring path
Rule-based and deterministic. Reproducible by hand.
4×
Refresh cadence
Quarterly methodology and data refresh, with a versioned changelog.
Headline lines (quotable)
- · 50 roles scored across 30 industries and 16 countries; methodology open at /methodology.
- · The model is rule-based and deterministic — no LLM in the scoring path.
- · Most knowledge-worker roles classify AUGMENT (≈ 2–5× productivity), not REPLACE.
- · Refreshed quarterly. Versioned changelog on the methodology page. Reviewed by an external labour economist at major version increments.
Usage rights
Free to quote, please attribute.
Quote any stat with attribution to buzzi.ai AI Job Impact Calculator and a link to the methodology page. Charts and data tables may be republished with attribution.
Downloadable assets
Logos, charts, and data
- Methodology overview (PDF, on request)
- Top 50 ranked roles (CSV, on request)
- Buzzi brand logos (SVG, on request)
Analyst contact
Talk to the team.
Email hello@buzzi.ai with subject “AI Job Impact press inquiry”. We respond within one business day for press; same-day for analyst briefings.