A career simulation returns more than a headline score. The three readings that actually drive a decision, and what to do with each one.
Running a career simulation is easy. Reading it well is the part that changes decisions. When you model a role in the AI Career Simulator, it returns more than a single headline score, and the temptation is to glance at the top number and stop. That wastes most of the signal. Three readings in particular carry the weight, and once you know what each one is telling you, a simulation stops being a verdict and becomes a map. Here is how to read the three numbers that matter most, and what to do with each.
Number one: the exposure score
The exposure score answers a blunt question: how much of this role can AI already absorb? It is built from the mix of routine production and accountable judgment in the work. A high exposure score does not mean you are bad at your job, and it does not mean the job disappears tomorrow. It means a large share of the role is the kind of work AI handles well, which is a fact about the role's structure, not about your ability. Read it as a measure of how much pressure the position is under, not as a personal grade.
What to do with it: a high exposure score is a prompt to look at the next number, because exposure alone does not decide your fate. A role can be highly exposed and still resilient if the right second number is strong.
Number two: the authority reading
The authority reading is the one most people skip, and it is often the most important. It captures how much of the role is accountable judgment: decisions you own, outcomes your name is attached to, the trust-based work that does not transfer to a model. Authority is what holds value even as the production layer automates. The combination of the first two numbers is what actually matters: high exposure with low authority is the acute case, because the work is routine and you do not own the decisions. High exposure with high authority is far more resilient, because the accountable layer survives the automation of everything beneath it.
What to do with it: if exposure is high and authority is low, that is the combination to act on first. The move is to raise authority, by taking ownership of a decision you currently escalate, rather than trying to out-produce the tools on the exposed layer. To understand exactly what the authority dimension measures and how it is scored, the methodology sets it out in full.
Number three: the projection delta
The third number is the one that turns a snapshot into a decision. The simulator projects your position forward over roughly two years along two paths: drift, where you keep doing what you do now, and a deliberate path where you make structural moves. The gap between those two lines is the projection delta, and it is the real output of the exercise. A small delta means your trajectory is fairly fixed regardless of effort, which usually points to a migrate situation. A large delta means deliberate action genuinely changes where you land, which means defending and reshaping your current role is worth the effort.
What to do with it: read the delta as the answer to whether to stay and reshape or to move. It is the difference between the future you get by default and the one you get by intent, and it is the single most useful number for deciding where to spend the next six months.
Read them together, not in isolation
The three numbers only mean something in combination. Exposure tells you how much pressure the role is under. Authority tells you how much of it survives that pressure. The projection delta tells you how much your own effort can change the outcome. A useful habit is to read them as a sentence: this role is under this much pressure, this much of it is durable, and deliberate action can move it this far. That sentence is far more actionable than any single score, and it is what separates a simulation that informs a decision from one that just produces anxiety.
Simulate the move, not just the present
The same three numbers are how you compare options. Model your current role to get a baseline, then model the role you are considering and read the three numbers for each side by side. The comparison that matters is not which job sounds better, it is which one has lower exposure, higher authority, and a healthier projection. If you are weighing a specific destination, the how to become guides show what it takes to get there once the numbers tell you it is worth it.
A simulation is cheap. A two-year detour into the wrong role is not. Reading these three numbers before you commit is how you spend the cheap thing to avoid the expensive one. When the numbers point to a clear move, the AI Career Index assessment turns the reading into a sequenced six-month plan built on your own inputs, so the simulation becomes a route rather than just a result.
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