Bring what you did
Classes, group projects, jobs, and clubs. You see which of the classes you have already taken count toward each path.
For college students and recent graduates
Turn college into a first job AI can't replace.
Cairn turns what you did in college, the classes, projects, and part-time jobs, into resume bullets and LinkedIn lines you can send, and shows how AI is likely to change each career you are weighing, so the plan you leave with is one you can explain.
Launches Oct. 3130-day money-back guarantee
CairnCareers is a product of Phronesis Labs LLC and is not affiliated with Cairn University or Cairn Group.
A steadier way forwardFrom coursework to a first job.
- 1 Your college experiences and the people you met
- 2 A professional resume and LinkedIn page built from them
- 3 Your first professional job
30-day money-back guarantee Counted from launch day if you sign up before launch, from the purchase date after.
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Every score is sourced O*NET, Science, and METR*, each linked on the methodology page
The market you are graduating into, with the sources attached.
Checked October 4, 2026
- 1,016occupations scored, matched from 57,000+ job titles. Every path you weigh resolves to one.1
- 5.6%unemployment among recent college graduates, ages 22 to 27.2
- 42%of recent graduates work in jobs that do not require their degree.3
- 3published sources behind every score: O*NET task data, Eloundou et al. (2024) in Science, and METR's* long-run trend.4
- O*NET 30.2, Occupation Data (1,016 rows) and Alternate Titles (57,543 rows), O*NET Resource Center
- Federal Reserve Bank of New York, The Labor Market for Recent College Graduates, 2026:Q2 update
- Federal Reserve Bank of New York, The Labor Market for Recent College Graduates, 2026:Q2 update
- CairnCareers methodology page
None of this is a reason to panic. It is a reason to plan. That is the whole product.
01The route
Career planning that ends with a resume you can send.
Stuck for months with no concrete career plan? It usually looks something like this.
- Your resume lists a major and a campus job, but not the survey you ran, the club budget you managed, or the lab report your professor praised.
- You have applied to entry-level roles for weeks and heard nothing back, and nobody can tell you what to change.
- Every headline says AI is coming for entry-level work, and almost none say which of the jobs you are considering it actually touches.
- Your family asks what you plan to do after graduation, and you do not have an answer you can explain.
You have done more than you think. The hard part is turning it into something a recruiter can read.
Build the resume and LinkedIn
Each experience becomes a resume bullet and a LinkedIn line tied to the paths you are weighing.
Check it against AI
See which of your skills stay in demand as AI changes the work, then pick your first move.
What you haveMarketing class group project: ran a campus survey for a local coffee shop.
Resume bullet (sample)Designed and ran a customer survey for a local business and presented pricing recommendations to the owner.
No resume or work history needed. Bring your interests, coursework, and what you have done so far.
How the AI-exposure score is calculated See a sample twelve-month roadmap Why no major is AI-proof, and how to evaluate one
Your degree, put to work
You put years into college. Show employers what it bought you.
CairnCareers shows which of your classes already count toward each path and turns them into evidence employers can see, so your education reads as proof and not a list of course titles.
02Compared with a chatbot
How this compares to asking ChatGPT.
Most students try the chatbot first. Here is what each one gives you.
Asking ChatGPT
- Answers from patterns in its training data.
- Cannot show you where a number came from.
- Pay, growth, and AI risk mixed into one reply.
- Will often write a number for you when you do not have one.
CairnCareers
- Scores each path against federal occupational task data.
- Names and links every source on the methodology page.
- Keeps pay and growth separate from the exposure score, so you can see what moved the result.
- Never invents a number. It asks the question that produces one.
In short: ChatGPT answers your career question from patterns in its training data and cannot show where a number came from. CairnCareers scores the specific paths you are weighing against federal occupational task data, links every source, and keeps pay and growth figures outside the exposure score.
Read the methodology See the full comparison
Also compared: CairnCareers vs CareerWing, CairnCareers vs Career Mirror, CairnCareers vs Make the Leap.
03Sample Dashboard
Meet Maya.
See Maya's sample dashboard.
Premium dashboardWhere you stand, Maya.Sample data
Beta access
Sign up for the beta and use CairnCareers free for a year after launch.
Leave your email and we will set up your account.
24 days until launch
The beta closes when Cairn launches on October 31, 2026. Sign up before then and your first year of Premium is free.
04Pricing
Simple pricing.
Beta signups use Cairn free through October 31, 2027. This is what it costs after that.
Free
$0forever
- Your AI-exposure score for each path you are weighing
- Which tasks in each job hold up to AI, and which do not
- Median pay for each path, shown as context and never in the score
Pro
Choose billing
US$6USD / monthAnnual saves US$26 a year
- Everything in Free
- Your classes, projects, and jobs rewritten as resume bullets
- Re-run your scores every month as you add evidence
Premium
Choose billing
US$11USD / monthAnnual saves US$46 a year
- Everything in Pro
- A resume and LinkedIn that update as you add experience
- Who to talk to next, and what to ask them
- A term-by-term roadmap to graduation
Beta users get a free year after launch!
Group pricing and enterprise pricing are available - contact for more information: contact@cairncareers.com
05Why this exists
A guide should be honest about what it knows.
Built by a PhD research scientist
Brooke Houck, PhD · Founder
“I built CairnCareers because I kept getting annoyed. Every week there was a new headline about which jobs AI would wipe out, and almost none of them said how they knew. When I traced the claims back, most rested on a job title and a guess. In my field you do not get to publish a number without showing where it came from. Students are making one of the most expensive decisions of their lives on claims that would not survive peer review, and they deserve the standard I am held to.”
06FAQs
Questions people actually ask.
What is Cairn Careers?
Cairn Careers is a career-planning tool for college students and recent graduates. It turns your interests, coursework, and experience into an AI-exposure score for each career path you are weighing, alongside a sequenced plan toward a first job. It is a product of Phronesis Labs LLC and is not affiliated with Cairn University or Cairn Group.
How is the AI-exposure score calculated?
Each task in an occupation is weighted by how much of the work it accounts for, multiplied by that task's AI-exposure value, and the result is placed on a 0 to 100 scale. Task data comes from O*NET, exposure values from Eloundou et al. (2024) in Science, and the outlook from METR's* long-run time-horizon trend. The full calculation is set out on the methodology page.
Does the score predict whether I will lose my job?
No. The score measures task exposure, meaning what current AI can already do, not whether a particular job will disappear. It cannot see your employer, your skill, your judgment, or the relationships you build, and it is not career, financial, or legal advice.
Which entry-level jobs are most exposed to AI?
Exposure follows the mix of tasks inside a job rather than the job title, so two roles that sound similar can score very differently. Work that is mostly drafting, summarizing, routine analysis, or standardized documentation tends to score higher, while work that turns on physical presence, negotiation, or accountability for a judgment call tends to score lower. Cairn Careers scores the specific paths you are weighing rather than publishing one general ranking. The same applies to majors: why no major is AI-proof, and how to evaluate one.
Do I need a resume or work history to use it?
No. You bring your interests, your coursework, and the experience you already have, including class projects and part-time work. There is no resume upload and no work-history requirement.
How is this different from asking a general AI chatbot about my career?
A general chatbot produces an answer from patterns in its training data and cannot show you where a number came from. Cairn Careers scores your paths against federal occupational task data and published research, names and links every source on its methodology page, and keeps pay and growth data structurally separate from the exposure score so you can see exactly what moved the result.
Where does Cairn Careers get its data?
Occupational task data comes from O*NET, the U.S. Department of Labor's occupational database. AI task exposure comes from Eloundou et al. (2024) in Science. The capability trajectory comes from METR*. Pay and growth figures come from the U.S. Bureau of Labor Statistics and are shown as context only, and they never enter the exposure score. Every source is linked on the methodology page.
Who is Cairn Careers for?
College students and recent graduates deciding what to aim for and what to do next. It is most useful if you are choosing between several paths, or have already chosen one and want a month-by-month plan toward a first job. You can see that plan in the sample roadmap. It is not built for people already established in a career who are planning a mid-career switch.
What does Cairn Careers cost?
Premium is $11 a month or $86 a year. Pro is $6 a month or $46 a year. We launch on October 31, 2026. Anyone who signs up for the beta before then uses Cairn Careers free through October 31, 2027, one year after launch. Every purchase is covered by a 30-day money-back guarantee, described on the refund policy page.
The next marker is yours
Find my first move.
Launches October 31 · Beta sign-ups close at launch · 30-day money-back guarantee
* This projection uses METR's established long-run time-horizon trend, not the faster 2026 estimates. Those newer figures come from a task suite near saturation, carry very wide confidence intervals, and measure software tasks specifically, so extrapolating them across all occupations is not yet reliable. See MIT Technology Review, "This is the most misunderstood graph in AI," February 5, 2026, https://www.technologyreview.com/2026/02/05/1132254/this-is-the-most-misunderstood-graph-in-ai/