JRIJob Risk Index

Career pivot data

Top 5 alternatives to pivot from Telemarketer (2026 edition)

Lower-risk careers to pivot from Telemarketer, ranked with the 2026 Job Risk Index: exposure scores, real salary bands and observed demand signal.

Pivoting from Telemarketer: 95/100 exposure, 0-2 years automation timeline.

3 alternatives in the index today.

RankProfessionRiskLevelTimelineMedian salaryDemand
01Market Research AnalystOffice & Professional55High2-5 years$80,700 · n=10451
02Customer Service RepresentativeAdmin75High0-2 years$41,080 · n=78
03ReceptionistAdmin85Critical0-2 years$45,926 · n=30

Data report

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01Market Research Analyst5502Customer Service Representative7503Receptionist85

Report

Methodology

Risk scores derive from O*NET, BLS and Anthropic's AI exposure research; salary bands from H-1B LCA records, public ATS postings and job boards; demand is observed signal from our own job-posting pipeline. Full methodology: Methodology

From the live index: 83 professions, last refreshed August 9, 2026. Scores derive from O*NET, BLS and Anthropic's AI exposure research.

Salary bands (p25/p75) for 79 occupations, updated Aug 10, 2026.

Demand is observed signal from our own job-posting pipeline (public job boards + ATS boards), 2 weeks sampled — not search interest.

Salary bands are published by source with n; they are not a census of the market.

FAQ

Frequently asked questions

01What are the best careers to pivot to?
The alternatives come from O*NET's related occupations, filtered to careers in our index with a lower risk score than the source profession — the safest options first.
02Will my salary drop after pivoting?
The report shows real salary bands (p25/p75) per profession when available, so you can compare before moving. Bands come from H-1B LCA records, public ATS postings and job boards, by source with n.
03Where does the list of alternatives come from?
From O*NET's related occupations plus our own research. The report only lists careers that exist in the index today with a lower risk score — it grows as the dataset grows.