A Registered Nursing graduate, 5 years in
Meet Grace.
What a Registered Nursing degree typically turns into —
a synthetic person built entirely from U.S. government medians.
Meet Grace — she finished a degree in
Registered Nursing and is now about 5 years into work.
Today she's most likely a Nursing Instructors and Teachers, Postsecondary, earning
around $88,250 a year. That's up from roughly
$82,600 when she started, the field is still hiring.
She walked out with about $22,702 in student debt — roughly $258/mo for ten years.
On the AI front, AI barely touches her work so far. Archetype: The Hybrid Zone.
If the work ever changes, the most natural moves are below — ranked by how much safer and better-paid they are.
Grace isn't a real person. She's the statistical center of everyone who took this
path — built from BLS pay, Dept. of Education debt, and O*NET/AI task data. She describes the typical road,
not your destiny. Your own number can land anywhere along the curves below.
The pay she's really looking at
Not one number — where people in this role actually land, bottom 10% to top 10%. Her likely spot is marked.
Will AI come for Grace's job?
Right = how much AI is used in her role today. Up = how much it could automate in theory. Each faint dot is another occupation.
If she ever has to jump — where to?
Adjacent careers ranked by how much safer + how much more they pay, and the skill gap to get there.
See another graduate
How Grace is built. We take the most representative career for
Registered Nursing graduates, then pull real median pay by experience level (BLS OEWS / DOL filings),
typical student debt for the major (Dept. of Education College Scorecard), AI task exposure
(O*NET + automation potential), and skill-overlap escape routes. This is the joined,
forward-looking profile built from real medians — it needs the real distributions and the skill
graph. All figures are group medians and trends, never an individual prediction.
