As of 13 August 2026, AI can compare UK salaries for your career change.
Most people should hand this to a purpose-built tool.
Can you do it?
5 minutesto a draft.
30 minutesto something you’d act on.
Cost, all in£0
Skill neededchat-fluent
Who has to check ityou
What the alternative costsNo priced human alternative is provided in the available tool data.
If this goes wrong: you compare stale or mismatched figures and choose a career path or salary target on a false basis.
What to actually do
Use a tool built for this
The route this page recommends
Do it yourself
Second choiceA chat interface, chat-fluent skill, and roughly 30 minutes until you can act on the result.
How to actually do it
- List the target roles you are considering, your current role, years of experience, industry, qualifications, preferred UK locations and whether you would accept remote work.
- Open current UK job adverts for each target role and copy the salary, location, seniority, benefits, commission terms and advert date into a document, keeping each source link beside its figures.
- Gather published salary pages or reports that define their data, and remove figures that do not state the role, location, seniority or pay basis clearly.
- Paste your background and the collected evidence into the prompt, asking the model to separate base salary from total compensation and to mark anything it cannot verify.
- Compare every figure in the model's table with the original advert or source, then revise the comparison when roles, locations, experience levels or pay definitions do not match.
- Use the verified comparison to set questions for employers and a salary range to investigate further, rather than treating the model's conclusion as a prediction of your personal offer.
Prompt
Compare the UK salaries for my possible career change using only the evidence I provide or sources you can identify clearly. Do not invent figures, employers, job titles, qualifications or demand levels. If you cannot verify a figure, mark it as unverified. My current role and experience: [CURRENT ROLE, YEARS OF EXPERIENCE, INDUSTRY, LOCATION] Possible target roles: [TARGET ROLE 1, TARGET ROLE 2, TARGET ROLE 3] Target locations or willingness to work remotely: [LOCATIONS] Relevant qualifications and transferable skills: [QUALIFICATIONS AND SKILLS] Salary sources, job adverts or links: [PASTE SOURCES] Create a table for each target role showing the source, date if stated, location, salary range, whether the figure is base salary or includes commission or benefits, seniority, and any stated qualifications. Separate figures that are directly comparable from figures that are not. Explain missing data instead of filling gaps. Then give a cautious comparison of likely entry-level, mid-level and experienced pay only where the evidence supports it. Identify which parts depend on my location, sector, experience, security clearance, commission, shift work or other conditions. End with questions I should ask employers and a short list of the evidence I still need before making a decision. Do not tell me which career to choose.
Open it prefilled in ChatGPT or Claude, or copy it into Gemini, which takes no prefill link.
Hand it to a person
The distant thirdA person who owns the outcome does this end to end, worth it when the failure is dear.
What it gets wrong
- AI cannot know whether a salary figure reflects the real offer employers are making today unless you provide or verify current evidence.
- AI cannot reliably compare roles with different responsibilities, commission structures, benefits, locations or progression paths without your judgement.
- AI cannot assess whether your transferable skills will actually place you at a particular seniority or salary point.
- AI cannot replace conversations with recruiters and people already working in the target career.
Even on a YES, the friction has a name: real time truth, context depth and judgement under ambiguity.
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 | 2 |
| Verification | 1 |
| Liability | 2 |
| Effort delta | 2 |
| Total | 9 / 10 |
The methodology and its thresholds are published in full.
FAQ
- Can AI compare salaries for different careers?
- Yes, if you give it specific roles, locations, experience levels and source figures. It can standardise the evidence and show where the comparison is incomplete, but it cannot predict your personal offer.
- Can ChatGPT tell me which career pays more in the UK?
- It can compare verified UK salary evidence for the roles you name. Do not rely on an unsourced ranking, because salary depends on location, seniority, sector, benefits and whether commission is included.
- How accurate are AI salary comparisons?
- They are only as accurate as the sources and definitions used. Check each figure against the original UK job advert or salary report, and reject comparisons where the roles or pay basis do not match.
- Can AI tell me what salary I should ask for after changing careers?
- It can help you form a range from comparable adverts and your relevant experience. You still need to judge your seniority, test the range with recruiters and confirm whether an employer means base salary, commission or total compensation.
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.
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