CairnCareers
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For career centers and programs

Give every student a sourced answer to 'Will AI take this job?'

Your students are choosing between paths on headlines. Cairn Careers scores the specific careers each student is weighing against federal occupational task data, shows which tasks in each job hold up to AI, and tells each student the one thing most holding them back from a first role. Every number is sourced. You see the methodology, and so do they.

By , psychometrician. Updated .

A flat-fee pilot for one term. See the pilot terms.Already a partner campus? Sign in.

What a student sees

Coverage68of 100 · up 12 this term
What AI already does54%
Moderate exposure
Readiness64
One private clean-up flag

Sample data

Explore the sample dashboard (partner sign-in)

What your office sees

Your office receives one cohort report: what your students have built on their dashboards, added up. Roadmap steps done, evidence prompts answered, work samples on file, resumes and LinkedIn lines written, messages sent, and the paths compared. The report will show totals and averages only, with no names, emails, or free text, and groups of fewer than five students will be hidden.

The landing page of the sample cohort report: a software engineering section of 100 seats, 92 students active, with seven cards that open the Roadmap, Evidence, Portfolio, Resume, LinkedIn, Network and Careers pages.
The sample report's landing page. Every count in it is invented.
Open the sample cohort report (partner sign-in)

What each student gets

  • An AI-exposure score for every path they are weighing, built from 1,016 occupations matched from 54,000+ job titles1
  • Which tasks in each job hold up to AI, and which do not
  • Median pay and projected growth for each path, shown beside the score and never inside it
  • A readiness read across seven factors, and the single factor most limiting their first move

What your office gets

  • Seats you assign
  • A cohort report: what your students have built on their dashboards, added up, from roadmap steps done to the paths they compared
  • A methodology you can hand to a dean, an accreditor, or a parent

Why the number holds up

Built by a PhD psychometrician on O*NET task data from the U.S. Department of Labor and the peer-reviewed exposure framework in Science. Pay and growth are shown beside the score and never enter it. No language model touches the score. Patent pending.

Read the methodology

On the roadmap for pilot partners

Coursework and campus experience turned into resume bullets and LinkedIn lines, and a term-by-term plan to a first job. Pilot partners shape what ships first.

A good fit for

University and college career centers, community colleges, bootcamps, and workforce programs serving students and recent graduates. Not built for mid-career transitions.

Research guides

Questions career centers ask

How does Cairn Careers calculate an AI-exposure score?

Each task in an occupation is weighted by how much of the work it accounts for, multiplied by that task's AI-exposure value from Eloundou et al. (2024) in Science, and placed on a 0 to 100 scale. Task data comes from O*NET, which covers 1,016 occupations and 57,543 alternate job titles.1

What does a career center pilot cost?

A pilot is a flat fee for one term, with no per-student fees. The price, what is included and the guarantee are on the Founding Partner Pilot page, and your office receives a cohort report.

Does the cohort report identify individual students?

No. The report will show totals only, with no names, emails, or free text. Any cell with fewer than five students will be hidden, along with one more cell so the hidden number cannot be worked out from the total.

Does AI write the scores?

No language model touches the score. Scores, bands, and the one constraint shown to each student are calculated by fixed rules from published data. Pay and growth figures from the U.S. Bureau of Labor Statistics appear beside the score and never enter it.

Does the score predict whether a student will get a job?

No. The score measures which tasks in an occupation current AI can already do. It cannot see a student's employer, skill, or relationships, and it is not career, financial, or legal advice.

  1. O*NET 31.0, Occupation Data (1,016 rows) and Job Titles (54,269 rows), O*NET Resource Center onetcenter.org/dictionary/31.0/excel/job_titles.html