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If you want high-paying AI-proof jobs, don’t chase titles — chase roles where humans own revenue, risk, and real-world outcomes. These paths are both income-strong and harder to automate.
Take the free AI Career Audit to see your risk score, then choose the highest-leverage pivot for your background.
| Career path | Typical earning range (USD) | AI resilience |
|---|---|---|
| B2B Enterprise Sales | $120k–$300k+ | High |
| Solutions Consultant / Sales Engineer | $110k–$220k | High |
| Product Manager (AI-augmented) | $130k–$250k | Medium-High |
| Cybersecurity Incident Response Lead | $130k–$240k | High |
| Technical Program Manager | $120k–$230k | Medium-High |
| Revenue Operations Manager | $100k–$180k | Medium-High |
Ranges vary by country and company size. Use them directionally: your goal is to move into roles with strong upside and defensibility, not to chase a single average.
Career rule of thumb: if your role can be measured by output volume only, risk is high. If your role is measured by decision quality under uncertainty, resilience is higher.
The book gives you the Distance Test + Lindy filter so you can choose a path that is both safer and higher-paying over the next 3–5 years.