AI or no?

Greg Wyatt • October 18, 2024

I often see discussions on the uses and perils of AI in a job search.

Now, before I get into my thoughts, let me comment on what AI is.

For a start the current term AI isn’t the AI I grew up waiting for- it’s not intelligent, it has no judgement or empathy.

It is sophisticated automation based on processing and reiterating information that’s already out there.

It’s called AI for simplicity, but truthfully this is mainly marketing-led.

While marketing is used primarily to sell stuff.

When you see AI enabled tools that enhance a job search, be mindful of companies selling the magic of unknowable technology, rather than directly leading to the outcome you may be looking for.


That said there are many wonderful applications for AI inside and outside of a job search.

Some of which automate and take away the burden of the more painful aspects of looking for a job.

From writing CVs/resumes, 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?

The answer is this question:

“Will it be seen as cheating, if the employer finds out I’ve used AI?”

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.

Yes, I know the odds are stacked against job seekers, through a combination of the market, systems and philosophy.

But it’s a question of what you have control over. Do you want others to make arbitrary decisions over your application, only because you’ve used AI?


My fellow recruiter, and an excellent one at that, Simon Monaghan recently shared his experience of a candidate using AI to answer standard interview questions.

These are issues we will increasingly face in recruitment.


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.

So, no problem, right?

Yet, 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 misshire, and also taking attention away from suitable candidates such as you.

This creates suspicion over the veracity of AI written CVs.

Therefore it makes sense to use AI to check if CVs are written by AI.

You can see many of these tools already available for free - just google “AI checker.”

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.

Besides, at the moment, AI written content stands out for the wrong reasons - you can generally tell when it’s used, with practise.

If you’ve used AI, with good intent, it can still backfire, should a hiring process consider it cheating.


There’s a wider discussion to be had, outside of the purview of this article, which is that of reasonable adjustments 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 forwards the best version of themselves straightforwardly?

At the moment, though, what matters is how hiring processes *might* view the use of AI. Which is what should inform your use of it.


Does that mean you shouldn’t use it at all?

No, it’s situation dependent, you just need to consider 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’d look at something like LazyApply to automate.

While, if I were simply receptive to a very unusual opportunity, it wouldn’t be relevant.


A more straightforward discussion is the uses where AI augments your own intelligence, rather than automates manual process.

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, for example)

  • Using Gemini or ChatGPT to compare your CV against a job description. Check for gaps, synonyms, how you might articulate your experience.

  • Asking for examples of achievements you can use as collateral to support your documentation and interviews, then replacing these examples with the facts of your experience:

  • Building a key word thesaurus.

  • Use for ideation and sense checking. I’ll paste this article into Gemini and ChatGPT and ask for its ‘thoughts’. Some of its feedback is helpful, especially as I’m self-employed and don’t have someone to check for me.

  • Asking questions around your career path - job titles, industries to look at; qualifications to underpin your experience.

  • Using it 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 started 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 will be perceived as ‘cheating’, given it’s behind the scenes work that support your candidacy.

In this way, AI can effectively support your job search.


Of course, there’s an argument that you might do whatever it takes to get a job. And that it’s only a problem if you are caught cheating.

That’s not something I’d advise, but it’s your choice if you want to automate as much as you can.

Just be wary then of the quality of its output.


If you are someone with hiring authority reading this, out of curiousity, let me add this.

AI in itself isn’t a cheat, especially if what is represented is factual or inherently true.

If you catch someone out in process for using AI, I’d recommend investigating why they’ve used it, rather than assuming.

The process of securing a new role is a skill that everyone has a different level of, 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. However 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 biases people with less means to pay for support, the same people who likely need the most help.

By all means, question why someone has used a tool to support their application. Just don’t be too quick to judge, especially if you use tools in your role, to enable your work.

Thanks for reading.

Regards,

Greg

By Greg Wyatt • October 27, 2026
I've had a couple of conversations with job seekers recently where their common sense has contradicted their professional knowledge. It's so easy to do when there's such a huge volume of information out there that seems to paint a picture. Such as the recently redistributed ragebait about a hiring manager rejected by his own ATS for having the wrong keyword - from a burner account on reddit which has since been banned. It matters not that this story is patently anti-fact, because now its out in the wild. It's the kind of 'insight' job seekers start to believe, such as these two. One a senior HR practitioner who was instantly rejected alongside a shortlist, all presented by an agency. The assumption being it must be AI - though I believe it's more likely someone clicked a mass-reject button at the other end, based on my research of ATS use. I'd love to look inside that black box to see what actually happened, to hear what ATS they used, to look at the track record of hiring decisions from the employer, because anything else is assumption. The second was more pernicious. A Talent Acquisition Manager, those who legend say deploy AI to mass reject candidates. He and his team had their roles made redundant. They all had significant experience implementing, configuring and managing ATSs. All were starting to believe the auto-rejection narrative, despite actually knowing how they work. These are both examples of mental heuristics - rules of thumb - where we try to fathom complex problems with the minimum of energy. Understandable given how draining a job search is. Yet, here's the rub, the longer a job search, the more likely you are to believe apocryphal nonsense - because of the continuous ragebait exposure favoured by social media, and an unfathomable job search. It's where what feels like common sense, yet you must push against it, because counterintuition, and the courage of your first convictions, might be your best tool in your job search tool kit. The truth remains more grim than automation designed to reduce adminsitrative burden - human decision making vs too high a volume of candidates, many of whom use AI to optimise their search. The same humans corrupted by overwork, cynicism, corporate solipsism, naivety, laziness, poor capability or simply a system stacked against them. 24 - Counterintuitive Here's a common journey many people take when a job search that proves tougher than expected: steps that might actually move you further away from your goal and make you part of the problem. Career grief Pick yourself up and decide this could actually be an opportunity for a new start Update CV with most recent job Hit the job boards and contact agencies Pleasant surprise that there’s more out there than you thought Apply, apply, apply Many of these jobs prove: closed, fake, ghosts, scams Not getting much traction, agencies aren’t replying Maybe you’re being too picky Widen the net: more senior, less senior, different industries, roles that use transferable skills Realise you need to customise, but that’s becoming really hard with the volume you’re applying to. ChatGPT? How else can you automate? With all these applications, there must be a reason I’m not getting through. What’s this about the ATS? Is AI really blocking me? The worst-case scenario here are those upsetting posts we read about people applying to 2,000 jobs and not even getting an interview. I expect many people will read these posts and worry they are on the same path. Some may even defer to that possibly Einstein quote, “Doing the same thing over and over and expecting a different outcome is the definition of madness.” And as a result they stop applying to jobs and try other measures instead. A TV analogy to illustrate your job search If you were selling a £300 TV who would you sell it to? Possibly too ambiguous a question. First-hand, second-hand? What features does it have? Who should be the buyers for this type of £300 product? Is there any point targeting people who want £1,000 TVs? What about £10,000? What about people who want £300 monitors, not TVs? It’s impossible to know without starting out on the right strategy: Define the product Research the market of ideal customers Set the right price point Sell where the customers will buy from But if things aren’t going well, you shouldn’t simply broaden your horizons and increase your sales approach across demographics that will never buy from you. Instead, you re-evaluate these first principles to make sure you have the right product, for the right people, at the right price point, sold in the right places, with the right message. So, yes there is iteration to do, but it’s your input that needs changing first to generate the output. You shouldn’t only change the steps you take. You might know your TV works perfectly well as a monitor, indeed better, because of its specs. However, if you're marketing a monitor to TV buyers, how well will that go? The problem here is one of definition. Who is your product actually for, and do they understand why yours is a contender? You shouldn't assume they can see your monitor qualities - show them. You might argue that the £1,000 budget holder could benefit from your transferable skills - same size TV, same resolution, pumps out sound, in colour. But if they want OLED when you offer LCD, or if they want a 100w speaker, while yours offers 30w, it’s likely to be a non-starter. Can you show how your 'features' apply for their demands? Do your features actually apply? What if instead you sold at a discount, with your additional features at the same cost as the competition? The difference between people and products is that products won’t change their mind. If an employer doesn’t need the features you offer that are enhanced, these can be seen as a risk, not a benefit. Does this mean you should stay in your lane? Yes and no. It means first you need to understand how your lane reflects the race you are in - your specific jobs marketplace. You should clearly understand what you need and what you offer, while balancing what the market offers and the other good people interested in those offers. But if you apply for vacancies in a domain where you can’t show the applicability of your offering. Or if you apply for vacancies that are too junior or senior, without a clear argument for the specific benefit that employer will have in hiring you. Then you will compete against candidates who have direct skills and experience. These are typically more aligned to the needs of that vacancy. Worse, you become part of the problem, taking oxygen away from more suited candidates who deserve fair consideration - without improving your own odds. It’s unfortunately a simple truth that if everyone didn’t apply for vacancies they weren’t suitably qualified for - everyone’s experience would be better. This may seem to blame you, but consider the opportunity cost, with time and energy better spent on other activities - which might even just be taking a break. I say this from a place of compassion, not criticism. Think about that TV analogy above - when you search for TVs on Amazon, how quickly do you filter out products you will never buy? Do those products make it harder to identify what you do need? I'd wager the answer is always Yes. Why not try that as an exercise now? Write down what you need from a TV, then try and find it without any bias towards brands. Rather than compromise to spread your bets, keep going back to first principles and make sure these are both fit for purpose and clearly communicated. Rather than hope others will see your transferable skills will apply, or your higher level of experience will help - show them how and why it matters. If you can’t, spend your energy on better activity. As for that Einsteinish quote further up. This is only true when the matters outside of your control don’t change. Those steps at the top are a common sense approach to a job search that involves systemic dysfunction, terrible job adverts, overburdened hiring processes, discrimination of all sorts and the simple disaster of too many qualified candidates for too few jobs. Matters which we have no control over. In the changing and mercurial nature of your jobs market, its potential to improve suddenly may be the only change you need to get the job you want. Such as the job seeker I spoke to, who went from 0 interviews from few applications, to having to turn down interviews and choose between multiple offers. Debbie said that she refocused on her expertise, and why it mattered, using that to inform what she applied for and how she communicated. Points in her control, with a changing market that helped. 
By Greg Wyatt • October 22, 2026
The other day I read a LinkedIn post about the iron triangle as it relates to recruitment. That you can be fast and good, but it will be expensive. That you can be fast and cheap, and it will be bobbins. Or that you can be cheap and good, but it will take longer than the heat death of the universe. At first glance it’s always made sense, with caveats, though that sense has been ablated with the promise of AI. Something that promises to be quicker, cheaper and better than people can manage. The only thing this triangle lacks is judgement-with-responsibility, something AI-style LLMs are currently incapable of, which is why they can be such problematic technology for recruitment. Though if your priority is speed, saving money, and filling jobs, the lack of judgement in even those algorithms that promise black box bias freedom might not be a problem you’d think much about. And when the top is spinning in an elegant way this might seem a standardisation you can apply everywhere, while you get on with your day job. Sadly the only place a spinning top doesn’t stop is when you were dreaming all along. AI has made me think about why the fundamentals of recruitment are so important, using judgement before we launch our projects. Which is why I like the 5Cs of project management as a way to look at recruitment: complexity, criticality, compliance, culture, compassion. With an adaptation and an additional C to be fit for purpose. It’s a great way to consider what approach to deploy: Complexity: the number of moving parts in a role, supply and demand in the candidate market, resources required to engage and bring forward the right people Criticality: the impact a vacancy has on the organisation. The opportunity a great hire brings. The damage the wrong hire can cause. And everything in between Channels: we go where the candidates are, whether at the end a headhunt, from an advert, from sourcing across LinkedIn Recruiter/equivalent tools, CV Databases, ATS records, other platforms, internal applicants, suppliers, consultants, temps, networking, referrals or even from a little black book, which I suspect will become more relevant again when data becomes noise Compliance: not just employment law, but how technology is used to find, engage and assess candidates in a fair, equitable and inclusive way Context: the full picture of the company – its organisational and local cultures, principles and values, mission, vision, goals, challenges and trajectory. The nuts and bolts, what that means for your candidates, and trying to understand the same in them Compassion: recognition of the impact a vacancy has on the employer and its team, balanced with how everyone can be brought together. And compassion for everyone that interacts with our recruitment, in process or invisibly Yes, I swapped context for culture. Hiring for context necessarily includes culture, and goes much further. And I've added Channels, which should always be established before going to market. I like these because they’re a way to ensure that how you recruit is proportionate and appropriate. They may even highlight you shouldn’t hire at all. But what you shouldn’t do is assume one recruitment process is the same as the next, nor that the investment made in reaching desired outcomes should be. What may seem expensive to you might bring an unexpected return on investment. What seems slow at the outset might bring a starter quicker than hoped – proper planning and all that. What seems good quality might fall apart, when the promises prove inadequate. That’s why it’s so important to diagnose first, before standardising. Greg p.s. You're welcome to try my free Hiring Diagnostic & Plan . It's not based on the 6Cs, which I think require more depth than a free tool can reasonably provide. Instead, it draws on principles from other disciplines: True and Fair from accounting, and Suitable and Sufficient from health and safety. It's free and private. Give it a go, and let me know if you'd like to chat through how the 6Cs might apply to your recruitment and enhance the resul