
Two Scores, One Question
33 occupations matched between the Microsoft AI applicability dataset and the AI Career Index. Together, they represent over 7.9 million US workers.
What Each Score Measures
Both systems use O*NET and SOC occupation codes as their backbone, but they answer different questions.
How much is AI being used?
Based on 200,000 real Copilot conversations mapped to O*NET work activities. Measures current AI adoption: what tasks people are delegating to or augmenting with AI right now. Score ranges from 0.00 (no observed usage) to 0.49 (highest observed).
How much career risk does it carry?
Structural analysis across five dimensions: task routineness, decision authority, income compression, AI tool maturity, and workforce trajectory. A role can have low current AI usage but high structural risk if the work is automatable but adoption has not caught up yet.
The Gap Between Usage and Risk Is Where Preparation Matters
High applicability and high exposure often align (Translators, Copywriters, Customer Service). But the most interesting cases are where the two scores diverge.
High Usage, High Risk
Translators (0.49), Copywriters (0.45), Customer Service (0.44). Both models agree. AI is already here, and the career risk is real. These roles need to move toward judgment-driven work now.
Low Usage, High Risk
Technical Writers (0.00), Web Developers (0.00), Market Research Analysts (0.00). Zero in the Microsoft data but ACI High. The structural conditions for displacement exist; mass adoption has not happened yet. This is the preparation window.
High Usage, Low Risk
Farm and Home Management Educators (0.31), Concierges (0.15). These roles use AI tools but their in-person, advisory, and relationship-driven nature insulates them from displacement.
Low Usage, Low Risk
Financial Advisors (0.00), Management Consultants (0.00), Postsecondary Teachers (0.00). Low on both measures. Strategic judgment, regulatory accountability, and institutional structures create durable moats.
33 Roles, Two Scores
Each card shows the Microsoft AI applicability score alongside the AI Career Index exposure band for matched occupations.
Highest AI applicability and High ACI risk. Both models agree: translation is at the frontier of AI displacement.
High applicability from information tasks (bookings, scheduling), but physical presence and safety judgment keep ACI at Medium.
AI handles lead scoring and outreach drafting. Relationship-driven deal-closing keeps exposure at Medium.
Strong agreement. AI generates drafts at scale; templated writing roles face the most pressure.
2.9 million employed. Both models agree: triage and standard resolution are being automated at scale.
High AI applicability from programming tasks, but physical machine operation and setup keep ACI at Medium.
Booking and itinerary work is highly automatable. ACI rates High because the structural path to replacement is clear.
Rule-based processing of trades and records. Both models see high vulnerability.
Moderate AI applicability but Low ACI risk. The role's advisory, in-person nature insulates it.
Lower current AI usage than expected, but ACI rates High. Structural conditions for AI replacement are strong; adoption is catching up.
Low on both. Human presence, local knowledge, and relationship skills create a natural moat.
Near-zero AI applicability. Academic tenure and original research insulate the role.
Zero current applicability but ACI Medium. AI is used in newsrooms, but source cultivation and investigation are harder to automate.
Major divergence. Zero current AI usage but ACI High. AI is increasingly capable at formal reasoning and proof work.
Zero current applicability but ACI High risk. AI documentation tools are maturing fast. The gap between usage and risk is the preparation window.
Grammar and style checking was one of AI's earliest applications. Structural risk is already materializing.
Zero applicability score but ACI Medium. Editorial judgment and narrative shaping provide some insulation.
Academic tenure and curriculum ownership insulate postsecondary educators. Both models see low risk.
Zero current AI usage, but ACI rates High. Press release drafting and media monitoring are highly automatable.
Programmatic ad buying is already AI-driven. The sales agent role is being compressed by self-serve platforms.
Routine account setup and verification. Classic target for process automation.
Large workforce (390k). Physical presence provides some protection, but self-service kiosks are growing.
Zero applicability but ACI Medium. AI automates routine analysis; the strategic and experimental parts hold.
Both models agree: the advisory relationship and regulatory accountability insulate this role.
Niche role with physical preservation requirements. Low risk on both measures.
Academic tenure provides structural insulation.
Major divergence. Zero in the Microsoft data, but ACI High. AI code generation is advancing rapidly; templated web development is increasingly automatable.
838k employed. Zero applicability, ACI Low. Strategic judgment, client relationships, and organizational change management create strong insulation.
Spatial analysis has AI applications but research and fieldwork components provide protection.
AI-generated imagery is a growing threat, but physical presence for fashion and live work persists.
846k employed and ACI High, despite zero current applicability. Survey design, data collection, and report generation are all AI-targetable.
Critical public safety function. AI assists with routing but human judgment in emergencies keeps it at Medium.
Academic tenure and specialised domain knowledge provide structural insulation.
Know Where You Stand Before the Adoption Curve Catches Up
The Microsoft data tells you how much AI is being used in roles like yours today. The AI Career Index tells you what that means for your career over the next 24 months. Together, they give you both the current reality and the structural forecast.
The AI Career Index measures your personal career exposure across five dimensions and gives you a score, a forecast, and a concrete action plan. 1592 roles are indexed with full exposure analysis, salary intelligence, and positioning strategy.
The people who come through this well are not the ones who panic or ignore it. They are the ones who measure where they stand and make deliberate moves based on the result.
AI Career Snapshot
Get your baseline AI exposure score, career positioning, and the key factors driving your risk. Takes about 10 minutes.
Measure Your ExposureFull Positioning Report
24-month forecast (Drift vs Strategic Path), deeper exposure analysis, salary intelligence, and a personalised 6-month Acceleration Plan.
View Pricing →AI Applicability: Common Questions
"The forecast of where my career is heading was the most useful part. It is not about where you are today, it is about where you end up if you do nothing. Seeing the next two years laid out as a simple chart made me act right away. I stopped coasting that week."
"Design is not one job. The hands-on production work is under real pressure from AI, while the strategic work is becoming more valuable. The report mapped my week against that split and showed that sixty percent of my time sat on the shrinking side. I handed off four meetings and moved those hours into the work that lasts."
"Senior advisory work is getting more valuable, not less. I felt this but could not explain why. The report gave me the argument: being accountable, carrying trusted judgment, and putting your name to an opinion are things AI cannot do. I use that line with clients now, and it lands."


