Is the AI Exposure Audit free?

Yes, completely free. You don't need to create an account or provide payment details. Enter your occupation, describe your working week, and receive your personalised resilience plan immediately. There is no premium tier, no upsell, and no catch.

How accurate is the exposure scoring?

The audit is based on current research into AI capabilities and task automation, combined with GPT-4o mini analysis of your specific role and tasks. It is a practical tool for building self-awareness and planning, not a precise scientific measurement. The most valuable output is the action plan and the task-level breakdown, not the headline score. Treat it as a structured outside perspective, not a verdict.

Is my data stored or shared?

Your audit inputs are processed to generate your analysis and then stored only in your browser's local storage. They are never transmitted to or stored on our servers beyond the API call needed to generate your results. We do not sell, share, or retain your personal data. You can clear your audit history at any time from within the audit page.

How often should I re-run the audit?

We recommend re-running the audit every six to twelve months, or whenever your role changes significantly — new responsibilities, a team restructure, a change in the tools your organisation uses, or a shift in what your manager seems to value. AI capabilities are evolving quickly, and your exposure profile will shift over time. The audit history feature lets you track changes across multiple runs and see whether your plan is moving the needle.

What if my occupation isn't well-known?

The audit works with any occupation — you don't need to use a standard job title or fit into a predefined category. Describe your role in your own words and focus on the specific tasks you actually perform day to day. The more specific your task descriptions, the more tailored your analysis will be. Unusual or niche roles often produce the most useful results because the analysis has to engage with the specifics rather than falling back on generalisations.

Does a high exposure score mean I should change careers?

Not necessarily. A high exposure score means some of your current tasks are at risk of automation — it does not mean your role will disappear or that you need to start over. The resilience plan focuses on how to adapt within your field, build durable skills, and position yourself toward the parts of your work that will remain valuable. For most people, the right response to high exposure is repositioning, not fleeing.

I've been in my field for 20 years. Does experience protect me?

Experience protects you in specific ways and not in others. Deep domain expertise — the kind that lets you spot errors in AI outputs, ask the right questions, and apply tools appropriately — is genuinely valuable and hard to replicate. But experience in tasks that are being automated does not protect you from that automation, regardless of how long you have been doing them. The audit helps you distinguish between the experience that holds and the experience that is at risk.

Should I be learning to use AI tools?

Yes, but with realistic expectations about what that buys you. Proficiency with AI tools is becoming a baseline expectation in most knowledge work roles — not a differentiator. The professionals who are most valuable are not those who can use AI tools most fluently; they are those who have the domain expertise and judgment to know when the AI is wrong, what to do with its output, and how to take responsibility for the result. Learn the tools. Do not mistake learning the tools for building a resilient career.

What if my employer is already using AI to replace parts of my role?

This is the situation where acting quickly matters most. The audit will help you identify which parts of your role are being automated and which parts remain valuable — and give you a concrete plan for repositioning toward the latter. The worst response is to wait and see. The best response is to understand your situation clearly, have an honest conversation with your manager about where the value in your role is perceived to sit, and start building toward the parts of the work that hold.

Is this relevant to me if I work in a creative field?

Yes, and possibly more urgently than you think. Creative fields have been significantly affected by generative AI — image generation, copywriting, music composition, and video production have all seen rapid capability improvements. The creative work that holds is work that requires genuine originality, a distinctive voice, deep understanding of a specific audience, and the kind of creative direction that gives a brand or project its identity. The execution layer of creative work is automating; the strategic and directorial layer is becoming more valuable. The audit will help you understand where your creative work sits on that spectrum.

Career resilience for the AI era

Protect your jobfrom artificialintelligence

Practical direction for adapting your skills, identifying durable opportunities, and moving forward with confidence as work changes.

Take the free AI AuditFree · No account · Two minutes

The landscape has shifted

AI isn't replacing careers. It's reshaping them.

The conversation about AI and work has been dominated by extremes — either AI will automate everything, or nothing will really change. Neither is true. What is true is that the mix of tasks inside almost every role is shifting, and the professionals who understand that shift clearly are the ones who will adapt fastest.

The risk isn't that your job disappears overnight. The risk is that the parts of your job that are easiest to automate quietly become less valued, while the parts that require human judgment, relationships, and contextual thinking become more important — and you haven't invested in them. The professionals who get caught out are rarely the ones who saw the change coming and did nothing. They're the ones who never looked.

My Career Crusader is built around one idea: that clear, honest information about your specific role is more useful than generic advice about 'upskilling' or 'staying relevant'. We help you look at your actual work, understand what's changing, and make deliberate decisions about where to focus. The goal isn't to make you anxious about AI. It's to make you better positioned than the people who are.

The professionals who thrive through this transition won't necessarily be the most technically skilled. They'll be the ones who understood their own value clearly enough to protect it, develop it, and communicate it — at exactly the moment when that clarity became rare.

60%

of jobs will see at least 30% of their tasks affected by AI automation in the next decade, according to McKinsey Global Institute research

85M

jobs may be displaced by 2025, while 97 million new roles emerge requiring fundamentally different skill sets — World Economic Forum

3×

faster career progression for professionals who proactively reskill versus those who wait for their employer to act

How it works

From uncertainty to a clear next step

The AI Exposure Audit takes you through a structured process designed to give you a specific, actionable picture of where you stand — not a generic score that tells you nothing useful.

Map your tasks

Start by entering your occupation and describing the actual tasks that make up your working week. The more specific you are, the more useful your results will be. Most people complete this in under five minutes. You don't need a formal job description — describe your work in your own words.

Rate your exposure

For each task, the audit assesses how exposed it is to AI automation — whether it automates first, reshapes over time, or holds its value. You can add context that a score alone can't convey. Your live exposure breakdown updates as you go, giving you an immediate read on the shape of your week.

Get your resilience plan

Receive a personalised AI-generated analysis that breaks down your week by exposure tier, identifies the parts of your work that hold their value, and gives you a concrete action plan for the next 30 days, 90 days, and year — tailored to your specific role, industry, and experience level.

Start your free audit

Build your durable advantage

A career strategy built around the work that lasts.

Turn uncertainty into a clear next move with a grounded view of your role, your strengths, and the opportunities ahead.

01 / Role exposure

Read the shift

Understand how AI is changing the tasks inside your role—not just the job title.

02 / Durable skills

Find what holds

Identify the human judgment, context, relationships, and accountability that make your work valuable.

03 / Career plan

Make the move

Create a focused next-step plan that helps you adapt with purpose, not panic.

What makes a skill durable

The human edge that AI can't replicate

Not all skills are equally exposed to automation. Understanding which of your capabilities are genuinely durable — and which are at risk — is the foundation of a resilient career strategy. These six categories consistently hold their value as AI capabilities expand.

Complex judgment

Decisions that require weighing ambiguous, incomplete, or conflicting information in high-stakes contexts. AI can process data at scale; it cannot yet exercise the kind of contextual judgment that experienced professionals develop over years of navigating real consequences.

Relational trust

The ability to build, maintain, and leverage genuine professional relationships. Clients, colleagues, and stakeholders trust people, not systems. This trust is built through consistency, empathy, and accountability over time — and it cannot be transferred to a model.

Creative synthesis

Combining ideas from different domains to generate genuinely novel solutions. AI is excellent at recombining existing patterns; it struggles with the kind of cross-domain creative leaps that come from deep human experience and the willingness to be wrong in interesting ways.

Ethical reasoning

Navigating situations where the right course of action isn't clear from data alone. Organisations increasingly need professionals who can identify the ethical dimensions of decisions, hold the tension between competing values, and take genuine responsibility for outcomes.

Adaptive leadership

Guiding teams and organisations through change, ambiguity, and uncertainty. The ability to motivate people, manage conflict, and maintain direction when the path isn't clear is deeply human and increasingly valuable — precisely because the pace of change is accelerating.

Domain expertise

Deep, hard-won knowledge of a specific field that allows you to spot errors in AI outputs, ask the right questions, and apply tools appropriately. Expertise makes you a better user of AI, not a casualty of it. The expert who uses AI well outperforms both the expert who doesn't and the non-expert who does.

Sector by sector

How AI exposure varies across industries

AI automation does not affect all industries equally or at the same pace. The pattern that emerges from the research is consistent: roles built around routine information processing are changing fastest, while roles built around physical presence, human relationships, and high-stakes judgment are changing more slowly. Understanding where your sector sits helps you calibrate how urgently you need to act.

Finance and accounting

High exposure

78% exposure

Routine transaction processing, reconciliation, basic reporting, and compliance checking are all being automated at pace. The roles that hold are those built around client relationships, complex structuring, regulatory interpretation, and the kind of judgment calls that carry personal liability. If your work is primarily data assembly and formatting, the timeline is short. If you are the person who decides what the data means and advises on it, you have more runway — but the expectation of what you know is rising.

Healthcare and clinical roles

Moderate exposure

34% exposure

Clinical judgment, patient relationships, and physical care remain deeply human. Administrative and documentation tasks — which consume a significant share of many clinicians' time — are being automated quickly, which is largely positive. The risk for healthcare workers is not replacement but scope creep: as AI handles more of the administrative load, the expectation of clinical throughput rises. The professionals who thrive will be those who use the freed time to deepen patient relationships and clinical expertise rather than simply seeing more patients.

Legal and compliance

High exposure in research, lower in advocacy

61% exposure

Legal research, contract review, due diligence, and document drafting are all being transformed by AI tools that can process and summarise large volumes of text faster and more cheaply than junior associates. The work that holds is advocacy, client counsel, courtroom presence, and the kind of strategic judgment that requires understanding what a client actually needs rather than what they asked for. The legal profession is not disappearing — it is bifurcating, with commodity work automating and high-judgment work becoming more valuable.

Marketing and communications

Mixed — creation automates, strategy holds

55% exposure

Content production, basic copywriting, social scheduling, and performance reporting are all being handled by AI tools at a fraction of the previous cost. What holds is the ability to understand an audience deeply enough to know what will actually move them, the strategic judgment to allocate resources across channels, and the creative direction that gives a brand a distinctive voice rather than a competent average. The marketers who are struggling are those whose value was primarily in execution. The ones who are thriving are those whose value was always in the thinking.

Engineering and technical roles

Code generation automates, systems thinking holds

42% exposure

AI coding assistants have materially changed what a single engineer can produce in a day. Routine code generation, debugging, and documentation are all faster and cheaper. What this means in practice is that the bar for what counts as a contribution has risen: the engineers who are most valuable are those who can architect systems, make trade-off decisions, communicate clearly with non-technical stakeholders, and take ownership of outcomes rather than just outputs. The ability to use AI tools well is now a baseline expectation, not a differentiator.

Education and training

Lower exposure — human presence matters

29% exposure

The relationship between a skilled teacher and a student is not easily replicated by a system, and the evidence on purely AI-mediated learning is mixed. What is changing is the administrative and content-creation burden: lesson planning, assessment design, and progress reporting are all areas where AI tools can reduce workload significantly. The educators who will be most effective are those who use that freed time to do the things that only they can do — building relationships, identifying students who are struggling before the data shows it, and creating the kind of learning environment that a screen cannot.

What the research actually says

Cutting through the noise on AI and jobs

The public conversation about AI and employment is full of confident predictions that turn out to be wrong in both directions. Here is what the evidence actually supports — and what it does not.

The claim

"AI will automate 50% of all jobs within five years"

Overstated

The reality

This figure conflates task automation with job elimination. Most research, including the widely cited McKinsey and Oxford studies, measures the share of tasks within a job that are technically automatable — not the share of jobs that will disappear. A job where 40% of tasks can be automated is not a job that disappears; it is a job that changes. The distinction matters enormously for how you should respond.

The claim

"Only low-skill workers are at risk"

Wrong

The reality

The current wave of AI automation is hitting knowledge work harder than physical work. Language models are better at drafting a legal brief than at changing a tyre. Radiologists, financial analysts, and junior lawyers are facing more immediate disruption than plumbers, electricians, and care workers. The assumption that a degree or professional qualification provides protection is not supported by the evidence.

The claim

"New jobs will replace the ones that disappear"

Probably true, but the transition is real

The reality

Historically, technological transitions have created more jobs than they destroyed — but not for the same people, in the same places, on the same timeline. The transition costs are real and unevenly distributed. The people who navigate them best are those who understand clearly what is changing in their specific situation and act before the change forces their hand.

The claim

"Learning to use AI tools is enough"

Necessary but not sufficient

The reality

Knowing how to use AI tools is quickly becoming a baseline expectation rather than a differentiator. The professionals who will be most valuable are not those who can prompt an AI effectively — it is those who have the domain expertise, judgment, and relationships to know when the AI is wrong, what to do with its output, and how to take responsibility for the result. Tool proficiency is the floor, not the ceiling.

The claim

"There is nothing you can do — it is all structural"

Defeatist and inaccurate

The reality

Individual agency matters significantly in how people navigate technological transitions. The research consistently shows that professionals who proactively assess their exposure, invest in durable skills, and position themselves toward the parts of their work that hold value fare substantially better than those who wait for their employer or the market to act. Structural forces are real. They are not deterministic.

Where to start

Five things you can do this week

Career resilience is not built in a single decision. It is built in a series of small, deliberate moves made consistently over time. These five actions are concrete, achievable in a week, and each one compounds over time.

10 minutes

Run the audit

The single most useful thing you can do is get a clear, honest picture of your current exposure. The audit takes less than ten minutes and gives you a task-level breakdown of where you stand. Everything else follows from that clarity. Do it before you do anything else.

20 minutes

Write down the three things only you can do

Not the things you are good at — the things that would be genuinely difficult to replace you on. The context nobody else has. The relationship that only works because of you. The judgment call that lands on your desk because everyone knows you will get it right. Write them down. They are your foundation.

1 hour

Spend one hour with an AI tool in your field

Not to learn to use it — to understand what it can and cannot do in your specific domain. Ask it to do something you do well. Evaluate the output critically. The goal is not to be impressed or alarmed; it is to develop an accurate model of where the tool is useful and where it falls short. That model is more valuable than any general advice about AI.

30 minutes

Have one honest conversation about your role

With a manager, a mentor, a trusted colleague, or a peer in your field. Not about AI specifically — about where the value in your role is perceived to sit, and whether that matches where you think it sits. The gap between those two views is often where the risk lives. You cannot close a gap you have not identified.

Ongoing

Identify one skill to develop in the next quarter

Not a course to complete or a certification to acquire — a specific capability to build. Choose something that sits at the intersection of what you are already good at and what is becoming more valuable in your field. The best investments are extensions of existing strengths, not attempts to build entirely new ones from scratch.

Start with step one — run the audit

Common questions

What people ask before taking the audit

: Yes, completely free. You don't need to create an account or provide payment details. Enter your occupation, describe your working week, and receive your personalised resilience plan immediately. There is no premium tier, no upsell, and no catch.
: The audit is based on current research into AI capabilities and task automation, combined with GPT-4o mini analysis of your specific role and tasks. It is a practical tool for building self-awareness and planning, not a precise scientific measurement. The most valuable output is the action plan and the task-level breakdown, not the headline score. Treat it as a structured outside perspective, not a verdict.
: Your audit inputs are processed to generate your analysis and then stored only in your browser's local storage. They are never transmitted to or stored on our servers beyond the API call needed to generate your results. We do not sell, share, or retain your personal data. You can clear your audit history at any time from within the audit page.
: We recommend re-running the audit every six to twelve months, or whenever your role changes significantly — new responsibilities, a team restructure, a change in the tools your organisation uses, or a shift in what your manager seems to value. AI capabilities are evolving quickly, and your exposure profile will shift over time. The audit history feature lets you track changes across multiple runs and see whether your plan is moving the needle.
: The audit works with any occupation — you don't need to use a standard job title or fit into a predefined category. Describe your role in your own words and focus on the specific tasks you actually perform day to day. The more specific your task descriptions, the more tailored your analysis will be. Unusual or niche roles often produce the most useful results because the analysis has to engage with the specifics rather than falling back on generalisations.
: Not necessarily. A high exposure score means some of your current tasks are at risk of automation — it does not mean your role will disappear or that you need to start over. The resilience plan focuses on how to adapt within your field, build durable skills, and position yourself toward the parts of your work that will remain valuable. For most people, the right response to high exposure is repositioning, not fleeing.
: Experience protects you in specific ways and not in others. Deep domain expertise — the kind that lets you spot errors in AI outputs, ask the right questions, and apply tools appropriately — is genuinely valuable and hard to replicate. But experience in tasks that are being automated does not protect you from that automation, regardless of how long you have been doing them. The audit helps you distinguish between the experience that holds and the experience that is at risk.
: Yes, but with realistic expectations about what that buys you. Proficiency with AI tools is becoming a baseline expectation in most knowledge work roles — not a differentiator. The professionals who are most valuable are not those who can use AI tools most fluently; they are those who have the domain expertise and judgment to know when the AI is wrong, what to do with its output, and how to take responsibility for the result. Learn the tools. Do not mistake learning the tools for building a resilient career.
: This is the situation where acting quickly matters most. The audit will help you identify which parts of your role are being automated and which parts remain valuable — and give you a concrete plan for repositioning toward the latter. The worst response is to wait and see. The best response is to understand your situation clearly, have an honest conversation with your manager about where the value in your role is perceived to sit, and start building toward the parts of the work that hold.
: Yes, and possibly more urgently than you think. Creative fields have been significantly affected by generative AI — image generation, copywriting, music composition, and video production have all seen rapid capability improvements. The creative work that holds is work that requires genuine originality, a distinctive voice, deep understanding of a specific audience, and the kind of creative direction that gives a brand or project its identity. The execution layer of creative work is automating; the strategic and directorial layer is becoming more valuable. The audit will help you understand where your creative work sits on that spectrum.

Start with a clearer view

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