Built for the Question Everyone Is Already Asking
Not a prediction. Not a headline. A research-backed answer.
Every week, millions of professionals are making decisions about their careers based on fear, headlines, and speculation. AI will take your job. AI won't take your job. The predictions contradict each other and the anxiety compounds.
CanIBeReplaced was built to cut through that noise with something more useful than an opinion — data.
The research exists. Anthropic has mapped which tasks AI is actually performing today versus what it could theoretically do. Microsoft has scored every occupation against real AI usage data. Brookings has measured not just who is exposed but who has the capacity to adapt. The WEF has modelled which roles disappear and which ones emerge.
What was missing was a way to make that research personally relevant — to translate eight published studies into a score that reflects your specific situation, not just your job title.
That is what CanIBeReplaced does. Fifteen questions across eight dimensions. An assessment that adapts to your environment, your role, your skills, and your mindset. A score that tells you not just where you stand today but what you can do about it.
The goal was never to create anxiety. It was to replace anxiety with clarity.
The Team
Built by people who work with this data every day
CanIBeReplaced was created by a senior data and analytics leader with over a decade of experience working across global organisations and international markets.
The frustration that led to this product was simple: watching intelligent, capable colleagues make panicked career decisions based on breathless technology coverage rather than the actual research that exists on this topic.
The team behind this tool has direct professional experience in:
- →Global workforce analytics and organisational data strategy
- →AI adoption planning across international enterprise environments
- →Cross-industry talent and skills gap analysis
- →Data-driven decision making at senior leadership level
We have chosen to keep individual identities private. In an industry where everyone has an AI take, we would rather let the research speak.
How We Think About This
Research first, always
Every scoring dimension maps to a published study. We do not invent risk factors — we translate what researchers have already found into something personally actionable. When the research changes, the scoring changes.
Honest about uncertainty
Nobody can tell you with certainty whether your specific job will be affected by AI. Anyone who claims otherwise is selling something. What we can tell you is where the research-backed risk factors are concentrated — and what the people who navigate this well tend to do.
Clarity over comfort
A tool that tells everyone they are fine is not useful. A tool that tells everyone they are doomed is not useful either. The goal is an honest score and a practical next step — even when that is uncomfortable to hear.
Why We Weight Future Readiness at 30%
Most AI risk assessments stop at exposure — how much of your job overlaps with what AI can do. But Brookings Institution research shows that adaptive capacity predicts outcomes better than exposure alone.
Two people with identical jobs and identical exposure scores can have very different futures depending on their financial resilience, skill transferability, and willingness to act on what they learn.
That is why Future Readiness carries the most weight in your score. Not because your current role does not matter — but because what you do next matters more.
Get in Touch
For press enquiries, research partnerships, or enterprise team assessments:
hello@canibereplaced.com
We read everything. We reply to the interesting ones.