AI Survival Clock
What is AI Survival Clock
Every job has a clock on it right now. Some are counting down fast. Others have decades. Most people have no idea where theirs stands.
AI Survival Clock is an attempt to answer that honestly. Not with reassurance, not with panic, but with an actual score based on actual up to date data.
Why we built this
The conversation around AI and jobs is loud, vague, and mostly useless. You get think-pieces saying everything will be fine and doomscroll threads saying nothing will be. Neither actually helps you understand where your job stands.
We wanted something concrete. We wanted a way to look at a specific role (not “knowledge workers in general” or “creative jobs”) and actually think through what makes it resilient or vulnerable. We wanted to see which parts are hard to automate, how fast the tools are moving, and if companies are still hiring for it.
So we built this. It's a tool for that conversation with yourself.
How it works
When you enter a job title, the engine runs three steps before producing your score. Nothing is pre-computed or pulled from a static database. Every scan is a live analysis run fresh at the moment you ask.
Live web research
We run several parallel searches to pull recent news, hiring signals, and automation coverage for your specific role. This is real-time data, not a cached snapshot.
Human Moat analysis
An AI agent evaluates the nature of the job itself, scoring four dimensions of human capability that AI has difficulty replicating: chaos management, emotional intelligence, physical presence, and strategic vision. This step uses no web data — it reasons from the structure of the work itself.
Market analysis
A second AI pass combines the web research with the moat profile. It scores four market signals: how much AI already overlaps with the role today, how fast the technology is moving, how much friction exists to deploying AI in that sector, and whether human demand is growing or shrinking.
The formula
The survival score is not chosen by the AI. It is computed deterministically from the eight signals above using fixed weights. The AI only produces the raw scores. The math takes over from there.
Survival Score (0–100)
Human Moat avg × 0.35
+ (100 - AI Overlap) × 0.25
+ (100 - Innovation Pace) × 0.15
+ Adoption Friction × 0.15
+ Labor Demand × 0.10
Signal breakdown
Average of Chaos Mgmt, Emotional IQ, Physical, and Strategic Vision — inherent job characteristics
Inverted: lower AI capability today = higher protection
Inverted: slower AI advancement in this domain = more runway
Regulatory, liability, trust, and cost barriers to deploying AI in this role
Whether companies are still hiring humans for this role
The Human Moat carries the most weight (35%) because it captures structural properties of the work that AI cannot easily acquire regardless of progress. Market signals fill in what the job title alone cannot tell us.
The Human Moat
The Human Moat is the set of capabilities that make a job resistant to automation by their nature, not just by current AI limitations. These four dimensions are scored by the AI based on what the job fundamentally requires, independent of what tools exist today.
Handling unpredictable, ambiguous situations that require improvisation and on-the-fly judgment. AI excels at repeatable tasks — it struggles when the ground keeps shifting.
Deep empathy, trust-building, persuasion, counseling. The kind of human connection that people can tell is missing when a machine attempts it.
Manual dexterity, spatial awareness, hands-on work. Embodied tasks have proven far harder to automate than cognitive ones.
Long-term planning, cross-domain synthesis, novel strategy. AI can analyze patterns but still struggles to reason about things that have never happened before.
Resilience ranks
Your score maps to one of six ranks:
What this is not
This is not career advice.
The score is a snapshot of signals; it can be wrong, it can be outdated, and it definitely does not know your specific situation. Do not quit your job because of it, and do not stay in one either.
The replacement year is an estimate based on current trends. It is meant to make the question feel real, not to be taken literally. AI adoption is uneven and genuinely hard to predict. Treat it as a prompt for thinking, not a deadline.
The analysis cites real sources pulled from the web at the time of your scan. We do not control those sources, and the AI can sometimes misattribute or paraphrase them. Always click through if something matters to you.
Your data
We do not have accounts. We do not store email addresses. No personal data is collected. We hash your IP address for rate limiting only to prevent abuse.
If you share your results, the link is public. Anyone with it can see your scan. That is by design, but worth knowing.
Say hi
If you have feedback, found something wrong, or just want to talk about the future of work, send us a message.