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Headline statistics
AI Career Index is a structural intelligence platform that measures how individuals and organisations are positioned for the AI economy, using deterministic scoring across career durability, authority leverage, and automation exposure.
About AI Career Index
AI Career Index is a structural intelligence platform that measures how individuals and organisations are positioned for the AI economy. The platform uses deterministic scoring across five weighted dimensions to produce a 0–1,000 index reading, Authority Band, Compression Exposure Index, and a 24-month projection.
AI Career Index is a deterministic structural assessment for the AI economy. The platform runs on a fixed rule-based scoring engine across five weighted dimensions: Strategic Clarity, AI Adaptability, Income Leverage, Skill Resilience, and Market Alignment. It produces a 0–1,000 composite index, Authority Band classification, Compression Exposure Index, structural archetype, 24-month projection, and a sequenced 6-month Acceleration Plan. It covers 1592 roles with data drawn from O*NET 30.2 (USDOL/ETA, CC BY 4.0) and BLS Occupational Employment and Wage Statistics. The free AI Career Snapshot completes in 10 minutes; Premium is a one-time $49 unlock.
AI Career Index is a structural intelligence platform built for the AI economy. Where personality tests measure who a professional is and career coaches treat the human-layer constraints, AI Career Index measures the structural configuration of the work itself: how much of the role is the routine production layer that current AI tooling absorbs, how much sits at the judgment and accountability layer that AI cannot own, and how market value is splitting between the two. The platform's scoring engine is deterministic. Every input maps to a fixed weight; every weight produces a reproducible output. It is not a probabilistic AI advice generator and contains no language-model reasoning inside the scoring layer. The free AI Career Snapshot delivers a composite index, Authority Band, and a 24-month projection in 10 minutes. The $49 Premium unlock adds the Structural Archetype classification, Authority Migration Probability, the full drift-versus-strategic projection, and a 6-month Acceleration Plan with weekly sequencing. The platform covers 1592 professional roles across 30 industry categories.
Talking points
Each line below is a complete, attributable quote. Use directly or paraphrase. For longer interviews or custom quotes, contact support@aicareerindex.com.
The market is changing pay for routine production work faster than any career-coaching framework can keep up with. AI compression is structural, not personality-driven.
We measure the configuration of the work, not the configuration of the person. Two professionals with identical inputs produce identical outputs. The model is reproducible by design.
The platform is built to be honest, not encouraging. Scoring doesn't adjust to how the user answers earlier questions. Compression risk is not softened. Authority bands are not inflated.
The structural escape route is upward. Migration into the judgment and accountability layers is the durability move available to most knowledge workers in the next 24 months.
AI is not removing humans from the work. It is removing humans from one specific layer of the work, the routine production layer, and concentrating value in the layer above it. That's the only structural shift that matters.
Career durability in the AI economy is no longer a function of skill level. It is a function of where the role sits structurally relative to the substitutable layer. A senior copywriter and a senior strategist sit on different sides of the same compression curve.
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Press contact
Available for interviews on AI workforce wage shifts, structural career strategy, and the deterministic vs probabilistic divide in career assessment.
support@aicareerindex.comFor interview requests, embargoed previews of upcoming research, custom data pulls, or partnership inquiries, please email with subject line beginning [PRESS] for fastest routing.
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