Evidence on how AI is changing the work inside jobs
Skillumina measures, task by task, how AI is changing jobs in the United States. Learners and workers use our free Career Guide, Career Forecast and Pathways Maps, built on official US data and on what people tell us about their own work. Employers, colleges, workforce boards and public agencies use that evidence to decide where to invest in skills.
Built onO*NET 31.0BLS Projections 2025–35SOC 2018Anthropic Economic Index
One evidence engine, used by everyone who decides about work and skills
Learners and workers use the Career Guide, Career Forecast and Career Pathways Maps for free. The same evidence, always anonymous and combined, powers our products for employers, colleges and training providers, governments and data users.
Career Guide · your matchesexample
What you enjoy
DataIdeasPeopleThings
Data · Ideas
Actuaries$130,000 · +9.2% to 2035
Fit 94
Data scientists$120,230 · +34.6% to 2035
Fit 91
Financial managers$166,570 · +9.7% to 2035
Fit 88
Live · free
Career Guide
Career guidance for anyone aged 16 or older, built on Skillumina’s own questions about what people would enjoy, the workplace they want, how they like to work and their confidence in key skills. Answers are matched to 784 US occupations.
Explainable matches with pay, outlook, education and AI change
Every match links to its pathway map and its AI forecast
Anonymous interest data shows where career interests are shifting
For students, job seekers, career changers, counselors and colleges.
People describe their job in their own words and language. They see which of their tasks are likely to be automated, done with AI or stay human-led, and can get a personal 90-day plan.
Starts from the person's own job title, with official occupations as suggestions
Task-by-task view, including the tasks people add themselves
Share card, personal report and links to current job ads
For workers, job seekers and students, in 50 languages.
Every sector of the US economy, mapped down to job titles. For each occupation: education level and experience, tasks, knowledge, skills, aptitudes and work styles, the outlook to 2035, and paths to step up, branch out or move across.
831 occupations in 20 sectors and 78 sub-sectors, from official 2025–35 data
SOC 2018 occupation groups at four levels, with ISCED education levels
Browse by skill: 68 skills and knowledge areas and 137 in-demand technologies, each linked to the occupations that need them
Institutional editions for colleges, workforce boards and state agencies
For students, job seekers, career advisers, colleges and workforce boards.
A private edition of the Career Forecast for your organisation. Staff map their tasks and AI use anonymously, and you see, role by role, where AI already does or assists the work and where skills need building.
Task-by-task view for each role, across all AI tools
Before-and-after measurement of AI training and roll-outs
Combined results only, never for groups under 10 people
UpdateReconciliation with AI toolsSpreadsheet skills
AddChecking AI-made reportsData privacy
Pilots open
Programme Relevance Review
We compare what a training programme teaches with the tasks people in the target job actually do today, including where AI already does them, and recommend what to cut, update and add.
Evidence for programme approval and employer advisory boards
Suited to short programmes, including Workforce Pell
Built on 18 years of qualification and curriculum design
For colleges, training providers and apprenticeship sponsors.
Anonymous answers from the Career Forecast become evidence on how jobs are really changing: the job titles people use, the tasks they add, the tools they adopt and where AI is already in use.
Comparisons by occupation, state and period
Emerging skills and tools that official lists do not yet show
Data licences for HR technology, job platforms and researchers
For employers, training providers, researchers, platforms and policy makers.
Home health and personal care aides+18.1%Registered nurses+5.6%Nursing assistants+2.6%Medical assistants+12.9%
Open for projects
Sector Labour-Market Intelligence
Sector reports that bring together employment, growth and wages, the occupations and skills a sector needs, how AI is changing its tasks, and the career pathways into it.
Occupation and job-title maps with skills, entry requirements and progression routes
Task-level view of AI and automation, including The Teardown analyses
National and state focus in the US; other countries on request
For state and local agencies, workforce boards, sector bodies, employers and investors. Delivered remotely.
Portable, verifiable records of the skills people use at work, issued as open-standard digital credentials and grounded in the task evidence we collect today. Skillumina began with skills verification; we are building the evidence base it needs first.
W3C Verifiable Credentials that people own and share
Grounded in the tasks people confirm in the Career Forecast
Official data as the starting point, workers' own answers as the evidence
Classifications tell you what a job is supposed to be. The people doing it tell you what it is now. We use both, and say clearly which is which.
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Start from official occupation data
Tasks, skills, knowledge and tools for each occupation come from O*NET, and outlook, wages and education from the Bureau of Labor Statistics. International classifications are already linked for later expansion.
People confirm the tasks they really do, add missing ones, and say how much time each takes and how AI is involved, in their own language.
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Turn it into evidence
Individuals get career matches, a forecast and a plan. Organisations get reports on how interests, titles, tasks, skills and AI use are shifting by occupation, state and over time.
Anonymous by designNo names or emails are collected, and IP addresses are never saved with answers. Typed text is cleaned of contact details before it is stored.
Consent firstAnswers are used for research only after people aged 16 or over agree, and anyone can opt out.
Sources creditedEvery dataset is named with its licence: the US Department of Labor, the Bureau of Labor Statistics, Anthropic and, for international editions, the European Commission and national statistics offices.
Evidence-weighted methodThe weights behind every forecast are public. Since October 2026, about 1,900 tasks use observed data on how people actually use AI, not fixed estimates.
Who we serve
Built for everyone who makes decisions about work and skills
Students, workers and job seekersSee where each job leads, what it requires, and how AI is changing your own tasks.
Employers and HRSee, role by role, where AI already changes the work and which skills to build.
Education and trainingKeep programmes aligned with the tasks and tools people actually use, with evidence for approval.
Workforce boards and public agenciesGet labour-market evidence for your state, sectors and programmes.
Researchers and mediaGet combined, anonymous data on occupational change and career interests across the US.
About Skillumina
A labour-market research company focused on how work is changing
Skillumina studies the architecture of work: the occupations, tasks and skills that make up jobs, and how AI and technology are reshaping them. We build open, multilingual tools for workers and turn what they tell us into evidence for organisations.
We start in the United States, building on official US occupation data. We add one thing official sources lack: an up-to-date picture from the people doing the work. International classifications are already linked, so other countries can follow.
Company
Skillumina, Inc.
Registered
Delaware corporation
Based in
Fairfax, Virginia, United States
Contact
info@skillumina.com
FM
Firdovsi V. Mutallimov
Founder and CEO
Firdovsi brings 18 years of experience in workforce and skills systems. He has developed national occupational standards, qualification frameworks and vocational education policy in programmes funded by the World Bank, the European Union and UN agencies, including work with the Ministries of Labour of Azerbaijan and Oman. He has also coordinated learning and development internationally for the International Organization for Migration in Washington, DC. At Skillumina he leads research, methodology and client work.
Contact
Let's talk about your workforce questions
Pilots, programme reviews, research partnerships, data or the Career Forecast: write to us.
info@skillumina.com
Good reasons to get in touch
A pilot of AI Adoption Measurement with your teams
A Programme Relevance Review for a course or qualification
A sector labour-market report or occupation map
Workforce Signals data, research or media enquiries
Skillumina, Inc. · Fairfax, Virginia, United States