AI Skill Gap Analyzer
Choose your role, tick the skills you already use, and we'll show you the AI skill checklist your role needs in 2026, exactly what's missing, and a prioritized roadmap to close it.
How it works
- Pick your target role: admin, HR, marketing, operations, customer support, sales or finance.
- Tick the 15 skill statements you can honestly say you already do at work.
- Get your gap. We compare against a role-specific skill list with importance levels, then sort the missing skills into a learning roadmap — each step linked to a free tool to practice.
From 2026 job postings and hiring guides for non-technical roles. We mark each required skill as core or supporting: core skills are the ones postings actually ask for today; supporting skills make you faster once the basics click.
Yes. We only list skills you ticked off as missing, sort them by importance for your chosen role, and attach a free tool to practice each one. If you retick different skills, the roadmap changes.
No. Every skill on the list and every recommended tool works with plain language and point-and-click interfaces. This site is built for people who have never written code.
No. The whole comparison runs in your browser. Nothing is uploaded, and closing the page clears your selection.
Most gap lists contain 5 to 9 skills. At 20 minutes a day, a motivated learner closes one skill every 1 to 2 weeks — meaning a typical gap closes in under three months. Use the daily learning plan tool to schedule it.
Who this tool is for
Built for the moment you have decided to learn something but not decided what. Career switchers comparing a current role with a target one, people returning after a break, and employees whose next job posting already lists AI expectations use it most. The role list is deliberately narrow: admin, HR, marketing, operations, customer support, sales and finance. If your target is data science, software engineering or a licensed profession, the checklist will not represent it well, and a syllabus from that field is a better source.
It also works as a second opinion before a training request. Instead of asking for a course, you can show a manager the eight or nine statements your target role requires and the three you cannot yet evidence.
How to read your result
After you pick a role, fifteen statements appear. Tick only what you can point to in your own work; the counter above the results records how many you selected. The first table lists every skill that role requires, with a chip saying core or important and a tick beside the ones you claimed. Core items are the ones the tool treats as expected now; important items make you faster once the basics are in place.
The gap list below repeats only the missing items, ordered with every core skill before any important one. The roadmap then numbers that same list and adds a third column headed Practice with, which links each row to a free tool. The order is not a schedule; it is a priority queue, and two skills on the same importance level are ordered by their position in the underlying list rather than by difficulty.
If you tick everything the role requires, the page shows a short notice instead of a gap list and suggests choosing a harder target or teaching a colleague. That is a completeness message, not a claim that you have mastered the skills.
A worked example
An operations analyst preparing to move into a team-lead post picks Operations and ticks six statements: she uses an AI chat tool daily, summarises long documents, drafts emails, builds simple templates, turns meeting notes into action items, and learns new tools unaided. Five of those are not on the Operations requirement list, so the counter reads six while only one required skill is marked with a tick. The requirement table shows nine rows, eight of them unticked.
The gap list begins with the seven core items: writing prompts with role, audience and format; following up on drafts; judging whether AI charts hold up; using AI on spreadsheets and formulas; verifying invented facts; keeping confidential data out; and reviewing AI output for stakeholders. The two important items come last: reusable templates and no-code flows. The roadmap numbers them one to nine and attaches practice links — prompt work points to the Prompt Library, spreadsheet and chart checks to the Data Cleaner, and stakeholder review to the AI Skills Self-Assessment.
Reading the queue, she starts with prompts because the first two rows block the rest, and books the Data Cleaner for the same week since two of her core gaps sit in spreadsheets. She ignores rank nine until the core rows are closed.
Common mistakes
Ticking a skill because you have seen it done is the classic error; the question is whether you did it at work, not whether you know the term. The opposite error is modesty — leaving a genuinely used skill unticked and inflating the roadmap.
People also pick the role that sounds impressive rather than the one they are aiming for, then wonder why the list feels irrelevant. Treating the important chip as optional forever is another trap: core gets you shortlisted, and supporting items are often what makes the first month manageable. Finally, do not work the roadmap from top to bottom without checking live postings for your target title; if three advertisements emphasise a skill the tool ranks seventh, move it up.