Home · Business · HR & People · Performance & training
As of 13 August 2026, AI can only partly design an internal career path.
This still needs a person who signs their name to it.
Can you do it?
15 minutesto a draft.
1 hourto something you’d act on.
Cost, all in£0
Skill neededchat-fluent
Who has to check ita colleague
What the alternative costsNo comparable human-service price is provided in the supplied sources.
If this goes wrong: someone follows an unrealistic or unfair route, misses suitable development or believes progression is guaranteed when it is not.
What to actually do
Hand it to a person
The route this page recommends
A person who owns the outcome does this end to end, worth it when the failure is dear.
Use a tool built for this
Second choiceDo it yourself
The distant thirdA chat interface, chat-fluent skill, and roughly 1 hour until you can act on the result.
How to actually do it
- Open your organisation's current career framework, role profiles, learning catalogue and internal vacancies, then collect the versions and links you expect the path to use.
- Ask the employee for their interests, preferred direction, relevant experience, current strengths, development areas and practical constraints, recording only information they agree to share.
- Ask the manager for observable evidence of current capability, required standards for likely next roles, available assignments and any qualifications or approvals that genuinely apply.
- Paste the collected role, learning, evidence and goal information into the prompt and ask the chatbot to draft the path, marking every assumption and unknown.
- Compare each proposed role, capability, learning option and requirement against the current internal documents, removing anything that is unavailable, outdated or not an actual requirement.
- Review the checked draft with the employee, manager and HR where appropriate, agree actions and review points, and send the final version to the people who own those actions.
Prompt
Design a realistic internal career path for the role and employee information below. Use only the information provided and clearly label assumptions. Do not promise promotion, salary changes or eligibility for any role. Do not infer protected characteristics or make decisions about an employee's suitability. Produce: 1) the current role and its core capabilities, 2) two or three possible next roles, 3) the capabilities and evidence needed for each move, 4) development actions using the available learning and work opportunities, 5) possible lateral moves, 6) signs that the employee is ready for a review, 7) questions for the employee and manager to resolve unknowns, and 8) a concise table showing each step, its purpose, evidence, owner and review point. Distinguish organisation-wide requirements from suggestions. Flag any missing information that HR or the manager must confirm. Context: [organisation and sector]. Current role: [role title and description]. Possible internal roles: [role descriptions or career framework]. Available learning and assignments: [list]. Employee's interests and goals: [goals]. Current strengths and development areas: [evidence]. Constraints, such as location, working pattern or required qualifications: [constraints].
Open it prefilled in ChatGPT or Claude, or copy it into Gemini, which takes no prefill link.
What it gets wrong
- AI cannot know which internal opportunities are real, funded or likely to open unless you supply current organisational information.
- AI cannot judge an employee's capability from a job title or aspiration; that requires evidence and a conversation with the manager.
- AI cannot guarantee that a proposed route is fair, consistent with your organisation's progression standards or free from indirect discrimination.
- AI cannot promise promotion, pay progression or access to a role because those decisions remain with accountable people.
- AI cannot replace the employee's consent and ownership of the development plan.
What caps this at PARTLY: judgement under ambiguity, legal accountability and context depth.
How we scored this
Five axes, each scored nought to two by hand: ten means AI carries the task cleanly, and the thresholds that turn a total into YES, PARTLY or NO are published in the methodology. Each axis name links to its definition.
| Axis | Score (0–2) |
|---|---|
| Output | 2 |
| Inputs | 1 |
| Verification | 1 |
| Liability | 1 |
| Effort delta | 2 |
| Total | 7 / 10 |
The methodology and its thresholds are published in full.
FAQ
- Can ChatGPT create a career path for an employee?
- Partly. It can turn role profiles, development goals and available learning into a clear draft, but a manager and HR need to check feasibility, fairness and internal policy before anyone relies on it.
- What information does AI need to design a career path?
- Give it current role profiles, likely next roles, capability requirements, available learning, the employee's goals and evidence of current strengths and development areas. It also needs practical constraints and a clear instruction to label assumptions rather than inventing internal rules.
- Can AI decide whether someone is ready for promotion?
- No. AI can organise the evidence and turn stated requirements into questions for a review, but it cannot own the judgement or decide whether someone should be promoted.
- How do I check an AI-generated career plan?
- Compare every role, requirement, learning option and review point with your current internal documents, then check the draft with the employee, manager and HR where appropriate. Remove claims about guaranteed progression and correct anything that does not match your organisation's actual process.
Nearby answers
Assessed by gpt-5.6-luna (gpt-5.6-luna) on 2026-08-13, second-checked by an independent model. Wrong somewhere? Email [email protected] and it gets re-checked.
The newsletter
AI news, new answers and product picks, straight to your inbox.