IBM first used the phrase “new-collar jobs” in 2018 to explain roles the place levels are non-compulsory, and as a substitute emphasize expertise, certifications, or on-the-job coaching. These careers, corresponding to a gross sales engineer or advertising supervisor, usually put sensible expertise above formal training. And in accordance with new knowledge, the roles pays fairly nicely.
Resume Genius just lately launched a report highlighting the highest-paying new-collar jobs, primarily based on an evaluation of U.S. Bureau of Labor Statistics knowledge, automation danger scores from the third-party software “Will Robots Take My Job?”, and job listings on Certainly to find out if the roles provided distant or hybrid work. The roles have been chosen for his or her excessive pay (median wage of not less than $100,000), absence of a four-year diploma requirement, availability of distant or hybrid work, and having lower than a 50% likelihood of being automated by AI.
“New-collar roles problem the concept a level is the one path to success,” said Eva Chan, profession knowledgeable at Resume Genius, in an e mail. “By showcasing sensible expertise, a portfolio of labor, and even sturdy referrals, individuals can construct significant, well-paying careers with out racking up extra scholar debt or spending years in class.”
Whereas touchdown a brand new collar job might be totally different than a standard white-collar job, which often requires a four-year diploma, or a blue-collar job, which might contain bodily labor with particular talent units, candidates set themselves up for fulfillment when making use of to new-collar jobs by incomes certifications that match the job, freelancing to realize a robust portfolio of labor and publicity, and networking.
Listed here are the highest 10 best-paying, new-collar jobs for 2025, in accordance with Resume Genius.
1. Advertising and marketing supervisor
- Median annual wage: $159,660
- Estimated job development (2023–2033): 8%
- AI job takeover danger: 39%
2. Human sources supervisor
- Median annual wage: $140,030
- Estimated job development (2023–2033): 6%
- AI job takeover danger: 24%
3. Gross sales supervisor
- Median annual wage: $138,060
- Estimated job development (2023–2033): 6%
- AI job takeover danger: 33%
4. Laptop community architect
- Median annual wage: $130,390
- Estimated job development (2023–2033): 13%
- AI job takeover danger: 39%
5. Basic and operations supervisor
- Median annual wage: $129,330
- Estimated job development (2023–2033): 6%
- AI job takeover danger: 36%
6. Data safety analyst
- Median annual wage: $124,910
- Estimated job development (2023–2033): 33%
- AI job takeover danger: 49%
7. Gross sales engineer
- Median annual wage: $121,520
- Estimated job development (2023–2033): 6%
- AI job takeover danger: 38%
8. Well being providers supervisor
- Median annual wage: $117,960
- Estimated job development (2023–2033): 29%
- AI job takeover danger: 26%
9. Artwork director
- Median annual wage: $111,040
- Estimated job development (2023–2033): 5%
- AI job takeover danger: 34%
10. Development supervisor
- Median annual wage: $106,980
- Estimated job development (2023–2033): 9%
- AI job takeover danger: 13%
Click on right here for the complete report.
IBM first used the phrase “new-collar jobs” in 2018 to explain roles the place levels are non-compulsory, and as a substitute emphasize expertise, certifications, or on-the-job coaching. These careers, corresponding to a gross sales engineer or advertising supervisor, usually put sensible expertise above formal training. And in accordance with new knowledge, the roles pays fairly nicely.
Resume Genius just lately launched a report highlighting the highest-paying new-collar jobs, primarily based on an evaluation of U.S. Bureau of Labor Statistics knowledge, automation danger scores from the third-party software “Will Robots Take My Job?”, and job listings on Certainly to find out if the roles provided distant or hybrid work. The roles have been chosen for his or her excessive pay (median wage of not less than $100,000), absence of a four-year diploma requirement, availability of distant or hybrid work, and having lower than a 50% likelihood of being automated by AI.
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