OUR MISSION
To provide honest, data-driven analysis of how AI and automation will impact your specific job. Not just IF, but HOW, WHEN, and WHAT TO DO ABOUT IT.
Why We Built This
The rapid advancement of Artificial Intelligence is transforming the workforce at an unprecedented pace. Headlines swing between “AI will take all jobs” and “AI is just hype” — neither extreme helps anyone plan their career.
We created Can Robots Take My Job? because we believe knowledge is power. When you understand exactly how AI affects your specific role, you can make informed decisions about skill development, career pivots, and professional growth.
Our core insight: “People don't pay for tasks, they pay for trust, judgment, and responsibility.”Understanding this distinction is key to future-proofing any career.
Our Methodology
How We Calculate Risk Scores
Our automation risk percentages are derived from multiple research sources, including:
- •Academic studies on task automation potential
- •Current AI capability assessments
- •Industry adoption rates and trends
- •Expert analysis and labor market data
What We Analyze
- →Task Breakdown: Which specific job tasks can AI handle today vs. future
- →Timeline Estimates: When automation is likely to impact each role
- →Human Advantages: Skills that remain uniquely human
- →Action Plans: Concrete steps to future-proof your career
Important Note on AI Capabilities
AI is as bad as it will ever be. Current limitations are temporary. We use temporal qualifiers like “as of now” and “currently” because what AI struggles with today may be routine tomorrow. Our analysis is regularly updated to reflect the rapidly evolving landscape.
Our Data Sources
We require at least 2 primary sources per major claim, and we strive to use the most authoritative sources available, including:
Bureau of Labor Statistics (BLS)
U.S. employment data and occupational outlook
World Economic Forum
Future of Jobs reports and global workforce trends
McKinsey Global Institute
Automation potential research
Oxford Martin School
Academic research on technological unemployment
Brookings Institution
AI adoption and labor market analysis
Industry Reports
Company earnings calls, tech announcements, market analysis
All statistics are dated when cited. We update our content regularly as new research becomes available.
Editorial Standards
We Commit To:
- ✓Citing sources for all statistical claims
- ✓Dating all data and updating regularly
- ✓Acknowledging uncertainty where it exists
- ✓Providing actionable advice, not just fear
- ✓Correcting errors promptly when discovered
We Avoid:
- ✗Sensationalist headlines without substance
- ✗Unsourced claims or speculation
- ✗Absolute predictions (the future is uncertain)
- ✗Generic advice that doesn't help
- ✗Letting affiliate relationships influence analysis
Real Talk: How Seriously Should You Take Us?
Let's be honest: we're not academic researchers publishing peer-reviewed papers. We're not the Bureau of Labor Statistics. If you need bulletproof methodology and confidence intervals, you probably want to read the actual studies we cite.
What we are is a team trying to make sense of a genuinely confusing moment in work history and present it in a way that doesn't make you want to crawl under your desk. We use humor because the alternative is doom-scrolling at 2 AM, and we've found that informed decisions come easier when you're not panicking.
We take accuracy seriously. We take your anxiety seriously. We don't take ourselves too seriously. If that balance works for you, we think you'll find this site useful. If you're looking for the definitive word on your career's future... well, nobody has that. But we'll help you think about it more clearly.
The Team
Can Robots Take My Job? is created and maintained by a small team of researchers, writers, and technologists who are passionate about helping people navigate the AI revolution.
Our editorial team combines expertise in:
- •Labor economics and workforce trends
- •Artificial intelligence and machine learning
- •Career development and coaching
- •Technology journalism
How we work: We use AI tools to research and draft content, which is then reviewed by our team for accuracy, tone, and brand consistency. Think of it as having a very fast research assistant who still needs a human to make sure they haven't hallucinated any statistics.
Content is reviewed for accuracy before publication and updated as new information becomes available.
Get In Touch
Have questions, feedback, or a correction to suggest? We'd love to hear from you.
Last updated: December 2025