About StableJobs

The world of work is changing faster than ever. AI and automation are transforming industries, eliminating some jobs while creating others. In this landscape, making informed career decisions has never been more important—or more difficult.

StableJobs was founded by Daniel to cut through the noise. We provide clear, data-driven analysis of which careers are most resistant to automation, helping both individuals planning their futures and investors evaluating workforce-dependent businesses.

Our goal isn't to predict the future—it's to give you the information you need to make better decisions today, based on the best available research and data.

StableJobs was founded by Daniel with a simple goal: make it easier for people to find careers that will remain valuable in an increasingly automated world. After seeing too many career advice sites offering vague suggestions without real data, we set out to build something better.

Every piece of data on this site is sourced from official government statistics and peer-reviewed research. We don't speculate or guess—we analyze the facts and present them clearly.

We don't guess or speculate. Our automation risk assessments are built on a foundation of peer-reviewed academic research, including the influential Oxford study "The Future of Employment" by Frey & Osborne, MIT's Work of the Future research, and McKinsey Global Institute analyses.

Our scoring methodology weights four key factors that determine automation resistance:

• Manual dexterity in unpredictable environments (40%)
• Social intelligence and negotiation (30%)
• Creative problem-solving (20%)
• Regulatory and legal complexity (10%)

Salary and employment data comes from official sources: the U.S. Bureau of Labor Statistics, O*NET, UK Office for National Statistics, and equivalent agencies in other countries.