Is Mixing and Blending Machine Setters, Operators, and Tenders a good career?
Also known as: Blender
Think twice — it scores below most careers (21th percentile). The job growth pulls it down enough that it's not the safe default it might seem.
SOC 51-9023 · U.S. dataThe bottom line
Think twice — it scores below most careers (21th percentile). The job growth pulls it down enough that it's not the safe default it might seem.
How we scored it
Five things that decide if a career is worth it — each shown as a percentile (how it ranks against all U.S. jobs), then weighted into the total.
Your priorities differ — a high earner may weigh Pay more; a worried parent may weigh AI-proof more. This is a starting map, not a verdict on your life.
Where the numbers come from
Pay · BLS OEWS, May 2024
Median, entry-level (10th percentile) and top (90th percentile) annual wages from the U.S. Bureau of Labor Statistics Occupational Employment & Wage Statistics. Public domain.
Job growth · BLS Employment Projections, 2024–2034
Projected change in employment from the BLS Employment Projections (2024–2034). A 10-year forecast — an informed estimate, not a guarantee.
AI-proof · GistGarden AI Job Risk
How much AI is actually doing this job's tasks, from our AI Job Risk tool (built on O*NET, GPTs-are-GPTs & the Anthropic Economic Index). Higher AI use = lower AI-proof score.
Easy to enter · BLS entry education
Based on the typical education needed to enter (BLS) plus entry-level pay — lower barrier + better starting pay rank higher.
Low stress · O*NET work context
How much time pressure, conflict and competition the work involves, from O*NET Work Context. Less day-to-day pressure ranks higher.
How the score is built · method
Each of the five measures is turned into a percentile — where this job ranks against all 730+ U.S. occupations we track — then combined with a weighted average (Pay 25%, Job growth 20%, AI-proof 20%, Easy to enter 15%, Low stress 20%). The letter grade (A–E) reflects the total score's percentile. This follows the standard composite-indicator approach (normalize → weight → aggregate) used by the OECD Handbook on Constructing Composite Indicators.
Sources: BLS OEWS (May 2024) · BLS Employment Projections (2024–2034) · O*NET 30.3 Work Context (CC BY 4.0) · GistGarden AI Job Risk. Compiled June 2026. BLS data is in the public domain; "O*NET" is a trademark of the U.S. Department of Labor.
For general informational purposes only — not career, financial, or employment advice. The Worth-It Score is one simplified model combining public data; it is not a prediction about any individual's job, pay, or future. Weigh it alongside your own goals and research.