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Typically requires High school diploma or equivalent

What is this page & how do I use it?

This is a research report for one career — the kind an analyst would write for a stock. The rating at the top is the neutral baseline (same for everyone); below it come the cases for and against, how the last official forecast for this career actually aged, and what the education path costs and pays.

How to use it: read the bulls-vs-bears case, then hit Score this career to weigh it against your other options with your own interests factored in.

CareerStar rating
RiskyLow uncertainty

Analyst take: Softer prospects — -2.7% projected growth, low AI exposure (17/100).

22
/ 100
low riskhigh
top row = high reward

Data note: O*NET 29.0 doesn’t cover this SOC code yet, so its skill profile (used for fit, moat, and related careers) is estimated from sibling occupations in the same SOC group — see methodology.

Moat (borrowed from investing — the water that defends a castle): how shielded this career is from AI. None = broadly exposed — many of its tasks are automatable and its skills are widely shared. (Exposure ≠ job loss; see the bears below.)

The small grid is a style box (borrowed from Morningstar’s fund reports): the blue square places this career on reward (top row = high) versus risk (left column = low), against all 730 careers. Low uncertainty means the score leans mostly on measured data (growth, pay) rather than forward-looking bets, so it's comparatively solid.

🐂 Bulls say
  • +Low AI exposure — resilient (17% of tasks exposed).
🐻 Bears say
  • Below-median pay ($34,980).
  • Projected to shrink (-2.7%).
Was this rating fair?
Projected growth
-2.7%
Median pay
$34,980
AI exposure
17/100
share of tasks exposed to AI — not job loss

What this work involves

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