AI CV Writer vs Career Consultant: What Each Can and Cannot Do for Experienced Professionals

The honest starting point

AI writing tools have become genuinely useful. They can turn rough notes into clean sentences, suggest structures, shorten long bullet points and flag inconsistent tense. For someone who finds writing about themselves difficult, that is real value.

But a CV is not primarily a writing problem. For experienced professionals it is a positioning and evidence problem: which roles to target, which achievements prove readiness, and how to present a career that does not fit neatly into one job title. Those are judgement calls.

What AI CV tools do well

• Drafting from notes. Give it your raw achievements and it will produce readable first drafts.
• Rephrasing and tightening. Useful for cutting a 40-word bullet to 20.
• Structural consistency. Spotting mixed tense, formatting drift or missing dates.
• Comparing against an advert. Highlighting terms in a job description that your CV does not mention.

Where AI falls short

• It cannot verify. If you give an AI tool vague input, it often produces confident, plausible-sounding claims. You remain responsible for every word, and an exaggerated CV can unravel at interview or referencing.
• It tends towards the generic. Phrases such as "results-driven leader with a proven track record" are common in AI output and tell a hiring manager nothing.
• It does not know your market. It cannot tell you that your target sector values chartership, that a particular title reads as junior in another industry, or that your strongest evidence is buried on page two.
• It does not challenge you. A good consultant will tell you when you are aiming at the wrong roles.

There are also data considerations. Think carefully before pasting personal or employer-confidential information into any third-party tool, and read its data terms.

What a career consultant adds

A competent consultant's value lies in diagnosis and judgement:

1. Positioning. Deciding which story your career tells and for which audience.
2. Evidence extraction. Asking the questions that surface achievements you had forgotten or undervalued.
3. Market translation. Converting internal language into terms a different sector recognises.
4. Challenge. Testing every claim so it survives an interview.

The trade-off is cost and time. Consultancy is a paid service, and not everyone needs it.

A sensible combined approach

Illustrative workflow:

1. Build a master list of achievements yourself (our quantification guide helps).
2. Use an AI tool to draft and tighten wording.
3. Check every line against the truth and your ability to explain it.
4. Get expert feedback on positioning — for example through Eich Dyn's free CV appraisal enquiry via the contact page, or a structured CV writing service if you want deeper support.

Eich Dyn also offers Career OS™ CV Studio, a structured tool for building evidence-led CVs. It is a tool, not a substitute for professional judgement, and it is separate from free resources.

How employers view AI-written CVs

Employers' own use of AI in recruitment is increasing, and UK Government guidance on responsible AI in recruitment sets out the risks organisations should manage. On the candidate side, the practical risk is sameness: when many applicants use similar tools, generic phrasing stands out for the wrong reasons. Specific, verifiable evidence is what differentiates.

Which should you choose?

• Early-career, clear target, strong evidence: AI tools plus careful self-review may be enough.
• Experienced, changing sector, or stuck without interviews: a human diagnosis usually pays for itself in clarity. See why your CV isn't getting interviews.
• Senior or executive: see our guide to executive CV writing; positioning matters more than wording at this level.