Most people who are using AI at work are using it tactically. They are summarizing documents, drafting emails, cleaning up slide decks, extracting action items from meeting transcripts. Useful work. Genuine time savings. But tactical.
There is a different category of AI use that almost no one talks about, and it is the one with longer-term consequences for your career: using AI strategically — to understand your trajectory, identify gaps, position yourself deliberately, and make better decisions about where to invest your time and energy over the next several years.
The professionals I know who are ahead of the curve on this are not necessarily the ones with the most sophisticated AI tools. They are the ones who have extended the question from “how do I use AI to get through today?” to “how do I use AI to build the career I actually want?” That shift in framing opens up a different set of uses entirely. Here is what they look like in practice.
Use AI as a thinking partner for career decisions, not just a task executor
The most underutilized thing AI can do for your career is help you think. Not by telling you what to do — it cannot know your industry, your relationships, your full context, or your actual goals with any real depth. But by engaging seriously with the information you give it and asking questions that force you to be more precise about what you actually want and why.
Here is an example. You have been offered a promotion. More money, more responsibility, a bigger title. The rational-sounding choice is to take it. But you feel ambivalent and you are not sure why. Try this: open a chat with Claude or ChatGPT and describe the offer in detail. The role, the responsibilities, the team, the tradeoffs. Then ask it to play devil’s advocate — to steelman the case for not taking it, based on what you have told it. Then ask it to identify what information you might be missing that would change the analysis. Then ask it what questions you should be asking your manager before deciding.
None of those outputs are the answer. But each one forces you to engage more rigorously with a decision you might otherwise make reactively, based on what feels safe or what looks good from the outside. Good thinking partnership — the kind you might get from a trusted mentor or an executive coach — is hard to access. AI is not a replacement for a mentor who knows your industry and has watched your career develop. But it can do something useful in the meantime: slow you down, ask the questions you have not asked yourself, and give you a more structured view of a decision you are probably approaching too quickly.
Map your skill gaps against where your industry is going
One of the most valuable career conversations you can have is the one where someone who understands both your field and the current pace of change says to you honestly: here is what matters now, here is what is being automated or commoditized, here is what is growing in value, and here is the gap between where you are and where you need to be. That conversation is rare. Most managers are too close to the work and too invested in keeping you productive in your current role to have it well. Most mentors do not have current enough knowledge of the specific skills landscape.
AI can approximate pieces of this conversation if you are specific. Do not ask ChatGPT “what skills should a marketing manager have?” — you will get generic output. Instead, describe your actual role, your industry, the specific things you do day-to-day, and what you see changing around you. Then ask: based on what you have told it, what skills are likely to decline in value over the next five years? What skills are gaining value in this kind of role? What is the gap between a solid performer in this role today and someone who will still be relevant and advancing in this field five years from now?
The output will not be perfectly calibrated to your specific organization or market. But it will give you a framework to react to and interrogate. Take the skill gaps it identifies and run them against your honest self-assessment. Which ones are accurate? Which ones are partially right? Which ones does it miss because there is context it does not have? Use the friction between the AI’s analysis and your own knowledge to produce a sharper picture than either would give you alone.
Build a personal narrative that actually holds
Careers are not just sequences of jobs. They are stories, and how well you can tell the story of your career — to yourself, to hiring managers, to potential collaborators, to sponsors who might advocate for you — has a disproportionate effect on where your career goes.
Most people are not good at telling their own story. They are either too modest (underselling transitions and non-linear moves as weaknesses rather than assets) or too credential-forward (leading with titles and companies rather than with what they have actually learned and can actually do). A coherent, compelling career narrative is harder to construct than it sounds, and most people do not do the work of constructing one until they are urgently in a job search and scrambling.
AI is genuinely useful here. Give it your full career history — every role, every transition, including the sideways moves and the periods that feel hard to explain. Ask it to identify the through-line: what consistent pattern emerges across the roles? What skills and perspectives have you developed that are genuinely distinctive based on the combination of experiences you have had? What is the story that makes your specific path look like preparation for something rather than just a sequence of things that happened?
You will almost certainly disagree with parts of the output. Good. The disagreement tells you something — either the AI is missing context that you need to add, or the narrative it is constructing is not the one you want to claim, which forces you to figure out what narrative you do want to claim. Working back and forth with the AI on this, adding context, pushing back, redirecting, is a genuinely useful exercise that most people only do with a career coach or a trusted advisor they do not have regular access to.
Prepare for high-stakes conversations with actual depth
Performance reviews. Salary negotiations. Conversations with senior leaders. Pitches for new projects or promotions. These are the moments that have outsized impact on career trajectory, and most people walk into them underprepared relative to their stakes.
AI can help you prepare in ways that go well beyond “practice your answers.” For a salary negotiation, for example: describe your role, your current compensation, the range you are targeting, and what you know about the market. Ask the AI to walk you through the likely counterarguments your employer will use, and to help you develop responses that acknowledge their position while keeping the conversation moving toward your target. Ask it to roleplay the negotiation with you — to be a challenging but fair manager and push back on your arguments. Then iterate.
For a conversation with a senior leader whose support you need for a project: describe the leader’s priorities as you understand them, the project you are pitching, and the objections you anticipate. Ask the AI to help you frame the pitch in terms of what matters to that specific person rather than in terms of what excites you about the project. Ask it to stress-test your business case. Ask it what you might be missing.
The preparation AI enables here is not about scripting — scripted conversations sound scripted, and that is its own problem. It is about arriving with a deeper understanding of the other person’s perspective, a sharper articulation of your own position, and enough reps on the hard questions that you are not caught off guard by them in the moment.
Use AI to accelerate learning in new domains
Career advancement increasingly requires moving across domains — picking up financial fluency if you are in operations, understanding data if you are in marketing, developing commercial instincts if you are in a technical role. The professionals who can move fluidly across these boundaries are genuinely more valuable than those who cannot, and the gap between “I understand this enough to participate credibly” and “I am lost in this conversation” is often smaller than people think.
AI is an extraordinarily patient teacher for domains you are trying to enter. You can ask it to explain a concept as many times and in as many different ways as you need. You can ask it to use analogies to things you already understand. You can ask it to quiz you. You can ask it to correct your misconceptions directly rather than diplomatically. You can do all of this without the social cost of asking the same question three times in a meeting.
The practical application: identify one domain that would materially expand your impact in your current role or open doors to the next one. Spend thirty minutes a week using AI to build genuine fluency there — not just enough to look like you know what you are talking about, but enough to actually reason in the domain. The compounding of that thirty-minute weekly investment over twelve months produces a meaningfully different professional profile.
Track your own progress, intentionally
Most careers drift rather than advance, not because of bad luck or limited ability, but because of the absence of deliberate direction. You respond to what comes at you. You take the opportunities that present themselves. You advance when someone notices you and falls short when someone does not. The shape of your career is largely determined by the forces around you rather than by any clear intention of your own.
AI can help you counteract the drift if you are willing to use it as a periodic review mechanism. Once a quarter, sit down with a fresh conversation. Describe where you were three months ago professionally: what you were working on, what you were trying to build, what you said mattered to you. Then describe where you are now. Ask the AI what the gap between the two tells you. Ask it what patterns it notices in where your time and energy have actually gone versus where you said they would go. Ask it what you should be doing differently in the next quarter to close the distance between the career you are building and the one you said you wanted.
This kind of structured reflection is hard to do alone — it is easy to rationalize the drift and tell yourself a story about why the deviation was fine. An AI that is holding the original description and comparing it to the current one does not have the same rationalizing instinct. It will just show you the gap. What you do with it is up to you.
The real difference
The professionals who use AI tactically will be marginally more efficient. They will get through their inboxes faster and produce drafts more quickly. That is real value, and I do not want to diminish it.
But the professionals who use AI strategically — who bring it into their thinking about where their career is going, not just what they need to do today — will make better decisions, close gaps faster, navigate high-stakes moments more effectively, and build careers that are more deliberately shaped and more resilient to the changes accelerating around them.
The tools are the same. The difference is entirely in how you choose to use them.
— Tom