AI or No?
What follows is an updated chapter for the Summer edition of A Career Breakdown Kit (2026).
Two main changes:
- A range of free resources available to boost your job search - you can access them on www.bwrecruitment.co.uk/resources. These are not generative tools - they are diagnostic tools. Feedback has been fantastic so far, including a message yesterday that attributes advice from one of the reports helped them secure a job offer
- Insight into an emergent situation that means the myth of ATS compliance is now actively working against you. It's a good thing the tools above are designed to help you better stand out in a way that is ATS hygienic and puts your best foot forward
If you've already bought the book, DM me when the new edition is published and I'll send you a free digital copy. It's my commitment to any buyer, for as long as I update it.
31 - AI or no?
I often see discussions on the uses and perils of AI in a job search.
There are many wonderful applications for AI inside and outside of a job search.
Some automate and take away the burden of the more painful aspects of looking for a job.
From writing CVs to applying at scale for you. And potentially doing the interview for you, with burgeoning deepfake technology.
Should you use AI in your job search and how?
Ask yourself these questions:
‘Will it be seen as cheating, if the employer finds out I’ve used AI?’
And
‘What are the unexpected consequences that wholesale adoption of new technology creates?’
Using AI in place of truth, whether in a customised CV, to game interviews, or deepfake candidacy - I see this as fraud, and it should be treated as such. You aren’t just cheating the employer, you’re cheating other candidates who have better integrity.
Given recruitment processes are in part designed to extrapolate how you might behave and perform in a role, the sense of cheating can lead to an instant ‘no.’
And with the advent of an AI arms race, you should be careful in what you choose to use.
I know the odds are stacked against job seekers through a combination of the market, systems and philosophy.
Do you want others to make arbitrary decisions over your application, only because you’ve used AI?
What do I mean by arms race?
Let’s look at using AI to write a CV.
In one sense it’s no different to paying someone to write your CV for you, such as a CV Writer. And it’s free.
No problem, right?
Let’s set aside the argument “Employers filter with AI so why can’t we use AI to get ahead?” for now. Especially because Some Truths About the ATS and AI (p32) and its follow up chapters show what’s really happening.
The problem isn’t so much employers as it is how your CV sits alongside other applications.
Many applicants who are wholly unsuitable can use the same AI to write a customised CV that paints them as someone worth assessing at interview. A waste of time for the employer, or worse which could lead to a mis-hire and also take attention away from suitable candidates such as you.
This creates suspicion over the veracity of AI written CVs.
For each development in job seeker AI, you’ll see an opposing one come up at the hiring end. And because these are all based on the same principles, they are relatively simple to develop.
An emerging consequence of the arms race
This arms race has a consequence worth taking seriously, because it's starting to affect everyone.
Automated tools let candidates fire CVs at two thousand vacancies overnight. The same tools can optimise CVs against each advert at scale. For an overwhelmed jobseeker this might seem the golden ticket.
But the increasingly reported result is that recruiters now open their ATS to find a pile of CVs that look structurally equivalent: the same section orders, the same keyword density, the same generic achievement bullets.
The features that were supposed to make a CV stand out, its mirroring of the advert language and its claimed compliance with the system, become the very features that make these applications indistinguishable from each other.
With the additional problem that many applications lie at scale to beat the system.
Recruiters must adapt to what they experience, and often it will be by finding the shortcuts experienced humans take when they're drowning.
It's a sad state of affairs that this pain is the same one that drives automated applications.
Recruiters look for signs that a CV represents an actual qualified candidate rather than a machine-tuned approximation of one. Specificity beats generic mirroring. Context-rich achievement statements beat keyword-dense bullets. Inconsistencies between the CV and the candidate's LinkedIn profile become disqualifying, because they suggest the CV was tuned for the advert rather than the truth.
Moreover, signs that applications are driven by an automated service might be discounted at scale, such as one international Talent Acquisition Manager who has set filters to discount applications from LoopCV – because his experience is that they are mainly spammed applications.
And while this situation forces employers to reassess how they administer applications, it also leads to the question of whether advertising is a viable channel at all. Especially when other channels are more specific and controllable, such as using LinkedIn Recruiter Licence to find people directly.
This news is from June 2026 and things are moving fast. For now, the practical point is that the case for a good-enough CV that's genuinely yours gets stronger as the volume of customised CVs increases. And the case for a well-specified LinkedIn profile that anchors the CV becomes essential, because the profile is what recruiters will compare your CV against when they want to know whether it's real. And because the profile is what may come up in recruiter searches when the jobs they used to advertise aren't advertised any more.
I cover the customisation question in more detail in Should I customise my CV? (p178). I cover the LinkedIn profile configuration that anchors the CV in LinkedIn profiles that convert (p204).
Does that mean you shouldn’t use AI optimisation at all?
It’s situation dependent and you should think about the consequences.
If I were looking for an early career job that paid the bills and was aware of the huge competition for a wide number of vacancies – I might consider automation to do this at scale. However, in this case I’d do the opposite of automation and doorknock instead.
If I were only receptive to a unique opportunity, AI wouldn’t be relevant.
A more straightforward discussion is the uses where AI augments your own intelligence, rather than automates manual processes.
Here, I wholeheartedly recommend looking into options and being creative:
· Tools to check spelling & grammar, used judiciously (I ignore most of Grammarly’s advice on how to improve my writing style)
· Compare your CV against a job description. Check for gaps, synonyms, how you might articulate your experience
· Ask for examples of achievements you can use as collateral to support your documentation and interviews, then replace those examples with the facts of your experience
· Build a keyword thesaurus to aid in searching for, applying for and being found for vacancies
· Use for ideation and sense checking. I’ll paste content into Claude and ChatGPT and ask for its ‘thoughts.’ Some of its feedback is helpful. Sometimes it lies and gaslights me
· Ask questions around your career path - job titles, industries to look at; qualifications to underpin your experience
· Use as a buddy to ask questions of, help with research and interview preparations (e.g. what questions might I be asked in an interview for a CTO; the company is a venture funded start-up with 30 employees, operating in SaaS)
· Purpose specific tools that have been error checked. Such as those that share market insights in your domain - prospects for speculative approaches, networking opportunities, knowledge sharing, etc
None of these can be seen as cheating, given it’s invisible behind the scenes work that supports your candidacy.
Additionally you can google or AI search for how others have solved their job search applications with AI – there are many case studies in the wild including open source access to their prompts and apps.
However, you might prefer to have unlimited free use of tools I have developed to support your job search.
Go to www.bwrecruitment.co.uk/resources
These tools are based on the principles set out in this book, the associated CV template (which you can download here too) and my new book on effective key hire recruitment – A Recruitment AiDE. They are diagnostic, not generative, therefore have a different use than AI optimisation.
Here are the tools available right now, which I may add to over time:
· CV template and guide
· CV diagnostic – assess where your CV sits right now and how you can better articulate your candidacy. A structured report you can act on immediately
· CV-Vacancy analysis – assess whether and how you should apply, SWOT analyse your CV against expected competition, scraped inferred pain that informs why the vacancy is actually recruited, company context and relevant information, and potential interview questions that may come up
· Rejection decoder – plausible analysis of why you may have been rejected. This may give constructive advice, it may just help you move on.
· Is it a scam? Paste a suspicious message and it will highlight how suspicious it actually is
· AI interview practice – infer questions that are likely to be asked from a job description. Practice, transcribe and record your answers to review. Plus an AI analysis of your answers. Nothing is stored outside of your browser session.
· LinkedIn profile optimiser – get more easily found by Recruiters including for jobs that aren’t advertised. Optimised for Recruiter Licence: the number one tool on LinkedIn for sourcing potential candidates.
· Salary negotiation insights – an advisory analysis to help you determine whether an offer is fair, and whether and how you might negotiate
I’ve designed these so that nothing is stored outside of your browser session. Nothing is visible to me. Full instructions on the resources page.
There’s a wider discussion to be had, outside of the purview of this book, which is that of reasonable adjustments. Such as for disability and neurodiversity.
What about for non-English speakers when fluent written English isn’t necessary?
How about someone with limited time that happens to be the perfect candidate?
Shouldn’t we enable candidates to put forward the best version of themselves straightforwardly?
If you are someone with hiring authority reading this, let me add this.
AI in itself isn’t a cheat, if what is represented is true.
When you catch a candidate out for using AI, ask why, instead of assuming.
The process of securing a new role is a skill, much of which can be learnt over a long-term job search.
In some situations, people can afford CV Writers, LinkedIn profile upgrades, career & interview coaching. All these do is allow them to provide a better version of themselves.
AI is no different, albeit less effective on an individual basis. If you see use of AI as problematic, this may discriminate against people with less means to pay for support, the same people who likely need the most help.
Don’t be too quick to judge. Don’t you use similar tools to enable your work?
At the moment, what matters is how hiring processes might view the use of AI. This is a key consideration.

