How we score a job.
Your job is many tasks. We look at each one.

We score each task in your job.
What we score
tasks in most roles, each weighted by how much of the week it takes. You check the list before anything is scored.
Four questions for every task
1
Can software do it today?
We count only tools anyone can buy right now.
2
How costly is a mistake?
Slow, expensive errors keep people close.
3
Does it rely on what you know?
Client history and team know-how live with you.
4
Does someone answer for it?
Work with a name on it stays with a person.
You pick the future
Nobody knows how fast this moves. You pick Slowly, Steadily or Quickly, and your week follows. In your plan you can fine-tune the three dials behind that choice.
Dial 1
How capable AI gets
incremental to transformative
Dial 2
How fast your employer adopts it
slow and messy to aggressive
Dial 3
What happens to entry-level hiring
hiring holds to hiring of new people stops
What stays fixed: what tools can do today. Your view of the future only comes in through the dials.
Who does each hour
Example: paralegal, middle pace
70% of a paralegal's week is still theirs.
You
40%16 hours
Needs your judgment.
You using AI
30%12 hours
AI does the slow parts. You still own it.
AI
30%12 hours
AI could do most of it.
Every task lands in one of three groups. The work that is still yours is the first two together. Your own plan uses your own tasks and the pace you pick.
What we're careful about
Work with your name on itA license or signature is yours.
Most duties belong to your employer, and you carry them for them.
Risks beyond AIFor 65 of our 120 roles, other forces matter more than AI.
Common advice, looked at closely"Go to law school." "Learn spreadsheets."
Each report shows when the usual advice fits, and when another path fits better.
How we check
Each report is written from published research. Then separate checkers read every hard truth and outlook number against its source page.
wording fixes in the hard truths
wording fixes in the outlook numbers
Every number on a report links to its source and its date.
We'll tell you when we're not sure
Our scores are informed judgments from research.
We have no outcome data yet. Your employer matters more than any average.
Where our numbers come from
Every report is built from published research. These are the sources we lean on most.
- US Bureau of Labor Statistics. Job counts, pay and 10-year job outlooks. Our most cited source by far.
- O*NET OnLine. The tasks that make up each job.
- Course providers' own pages. Every course and credential in a plan, with its price and the date we checked it.
See all 11 sources
- Federal Reserve Bank of New York. Jobs and pay for recent college graduates, by major.
- College Scorecard, US Department of Education. Earnings and costs by college program.
- National Science Foundation. Science and engineering jobs and research funding.
- Stanford Digital Economy Lab. How AI is changing hiring for younger workers.
- McKinsey, PwC, Deloitte and the World Economic Forum. How companies are adopting AI.
- Gartner. Forecasts on AI at work and in hiring.
- KFF, Pew Research Center and Gallup. Health costs, how people use AI, and how workers feel about it.
- Professional bodies such as NCEES, AAMC and SHRM. Licensing steps and career paths in their fields.
See how your own week scores.
Get startedQuestions or a source we should read? [email protected]