IT Support Specialist vs Prompt Engineer: Which Pays More?
Side-by-side salary comparison by city, experience level, and career growth outlook. Data reflects current market rates.
IT Support Specialist
Provide technical support for hardware, software, and networks.
Prompt Engineer
Design and optimise prompts for large language models and AI systems.
Prompt Engineer earns more on average โ the national median is $58,370/year (94%) higher than a IT Support Specialist. However, salaries vary significantly by city, employer, and experience level โ see the city-by-city breakdown below.
IT Support Specialist vs Prompt Engineer โ Salary by City
National median figures in USD across top cities.
| City | IT Support Specialist | Prompt Engineer | Difference |
|---|---|---|---|
| San Francisco, CA | $92,808 | $179,192 | IT $86,384 |
| New York, NY | $72,917 | $135,980 | IT $63,063 |
| Seattle, WA | $86,967 | $168,489 | IT $81,522 |
| Austin, TX | $69,244 | $133,715 | IT $64,471 |
| Chicago, IL | $64,877 | $131,261 | IT $66,384 |
| Boston, MA | $79,215 | $160,844 | IT $81,629 |
| London, UK | ยฃ47,998 | ยฃ92,719 | IT $44,721 |
| Toronto, Canada | CA$84,196 | CA$162,766 | IT $78,570 |
Frequently Asked Questions
Does a IT Support Specialist or Prompt Engineer earn more?+
A Prompt Engineer earns more on average. The national median salary for a IT Support Specialist is $61,860/year, compared to $120,230/year for a Prompt Engineer โ a difference of $58,370 (94%).
Which has better career growth โ IT Support Specialist or Prompt Engineer?+
IT Support Specialist roles are growing at 5% YoY while Prompt Engineer demand is growing at 80% YoY. Prompt Engineer has stronger near-term demand growth.
Can you switch from IT Support Specialist to Prompt Engineer?+
Yes. Many professionals transition between these roles, especially since both are in the same category. Shared skills include: analytical thinking, communication, and industry knowledge.
Which is harder to automate โ IT Support Specialist or Prompt Engineer?+
Prompt Engineer has a lower AI automation risk (15% vs 71%). Based on Oxford Martin School and McKinsey 2023 analysis.