Your AI transcript is the CV you did not write
A CV is a polished performance document. The way you think with AI is not. For the first time, how people reason is visible, and it will be read.
Your CV, a pitch or an award submission is a representation of capability. They are polished performance documents, written to a reader and edited by committee. Your AI history is different. The prompts, the problem solving sequences, the late night sanity checks, the research and the self education of the past couple of years are the most honest record of how you actually think that has ever existed. That is the interview none of us realised was happening.
This matters because of what AI augmentation is about to do to roles. One dimensional, rules based thinking becomes less valuable when a model can do it faster. Cognitive capacity beyond what AI can produce in written form, the strategic direction, the speed, the ability to hold several layers of a problem at once and drive an outcome at pace, rises sharply in value. We cannot change the shift. We can get ahead of it, because there is still time before it takes hold.
For two decades leaders have asked me one honest question: how do we know who is actually good? Not politically adept, not articulate under lights, not a performer in the room. Capable. The answer is becoming simpler. If you do not use AI, you are not evolving. If you use it badly, you reveal linear thinking and low synthesis. If you use it with depth and structure, you reveal the attributes the next hiring cycle will pay a premium for. Your transcript is the silent psychometric you created yourself.
The people who come out of this well are often the ones historically overlooked: BD, strategy, the functions called cost centres, and high performing non equity partners kept outside the inner circle. They are the ones who process several layers at once rather than in a straight line. Many people in your teams who are never considered for equity would score higher on that than those who have it. It is worth testing.
A practical way in. Take a run of your own AI conversations on real problems and ask the model to assess, based only on the transcript, how you reason, adapt, structure ambiguity and handle complexity; what patterns you see across markets, clients and risk, and where you are narrow; how you behave under pressure; and where you could create commercial value in the next six to eighteen months. Take the flattery with a large pinch of salt, because the model will flatter you. Look at the analysis underneath it. I ran it on myself. The results were generous, but the points worth working on were real.
The next cycle will reward people who think fast and clearly, link patterns across functions and timeframes, sense risk early and create value inside chaos. It will punish those who rely on templates and directory submissions, substitute culture for capability, and talk about AI while being afraid of what it reveals about their own house. The firms that ask for an AI strategy while hiring for comfort and rewarding tenure over capability will find the next few years unforgiving.
A CV is a polished document. Your AI transcript is not, and it may highlight strengths you never realised you had or never articulated. If you are serious about the future of your firm, team or career, start by asking what it would say about you.
