5 Things I Wish I Knew Before: Using AI in The Job Search

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If you have spent any time job searching recently, you have probably noticed that things look a little different than they did before. AI quietly became part of almost every step of the job hunting process. The thing is, most people only realise this after they have already submitted a handful of applications, sat through a screening call, or wondered why they never heard back after what felt like a strong application. 

The good news? Once you understand how AI fits into the job search process, you can use it to your advantage rather than feel like it is working against you. The not-so-good news? AI is not the shortcut many people hope it will be. 

Here are five things worth knowing before you dive in.

AI for your CV and LinkedIn…but not for the text

By now, most job seekers have at least heard that AI tools can help with CV writing. AI can flag inconsistencies in formatting, suggest stronger action verbs, identify gaps that might raise questions, and help you think about how your structure reads to someone reviewing dozens of applications in a single afternoon. But a fully AI-generated CV is rarely a good idea. These tools work from patterns, which means the output tends to sound polished and feel generic at the same time, and generic is the last thing you want when trying to stand out. For a deeper breakdown of how to use AI tools to strengthen your CV without losing your voice, check out our full article here. 

One angle that the article does not cover is your photo. If you are applying for roles where a professional headshot matters (and in many markets, it still does), AI image tools can now generate professional-looking profile photos without a studio session. It is not a replacement for authentic personal branding, but if budget or access is a barrier, it is a practical option worth knowing about.

A strong first draft is not the same as a finished message

Whether you are writing a cover letter, an application email, a networking message, or a cold introduction to someone whose work you admire, AI can help you get something coherent on the page quickly. Starting from a blank screen is often the hardest part, and having a solid structural foundation to react to and edit is genuinely useful. The issue is when candidates skip the editing part entirely.

Recruiters read a lot of messages. A fully AI-generated cover letter or introductory email tends to stand out for the wrong reasons: the phrasing is too smooth, the structure too neat, and the personality…well, somewhere close to nonexistent. Always review, edit, and personalise the output before sending. Remember, AI is a starting point, not a finished product.

AI can be your interview coach and your research assistant

AI interview assistants (like retired Interview Warmup by Google), or even a well-prompted ChatGPT session, can help you run through mock interviews, get feedback on your answers, and identify where you are being too vague and can improve. Practising out loud, even with an AI, builds a kind of “muscle memory” that makes the real interview feel less stressful. AI can also support your interview preparation by helping you research recent company news, understand an industry shift, or maybe anticipate what a hiring manager in a specific role tends to care about.

But keep in mind that an interviewer is keen to see and hear YOU, not a polished AI version of you.

One more thing worth knowing: some companies, particularly at early screening stages, already use AI-driven interview platforms where your responses are assessed before you get a chance to speak with a human. Understanding what these platforms tend to evaluate helps you prepare more strategically. A quick search or a direct question before your interview to find out whether the company uses one of these tools can save you from being confused by the format.

The job search itself has gotten smarter, and so should your approach

Platforms like LinkedIn and Indeed now use recommendation systems that surface roles based on your profile, activity, and search behaviour. If your profile is outdated or incomplete, the algorithm has very little to work with, and you may be missing relevant opportunities without realising it. Tools like Teal or Huntr can also help you track applications and manage the process in a more organised way, which matters more than most people expect when applying to multiple roles at once.

But be careful: AI-powered recommendations are only as good as the data behind them. They can surface interesting opportunities, but they can also reinforce patterns and keep showing you more of what you have already seen. Keep your own judgment in the lead when deciding which roles are worth pursuing, and do not let an algorithm make those decisions for you.

Understanding ATS means understanding why some applications disappear

Before a recruiter opens your CV, there is a good chance a system has already scanned it. Applicant Tracking Systems, or ATS, are used by many companies to organise incoming applications, filter candidates, and flag relevant keywords before a human ever gets involved. If your formatting is difficult to parse or your wording does not reflect the language of the job description, your application may quietly drop out of the process at that stage. For a closer look at the tools that can help with this, our article AI CV tools: let them stay tools, not be your replacement is a good place to start. 

What is worth remembering is that AI is not only being used to optimise CVs, but increasingly to evaluate them as well. Some widely used ATS platforms, such as  Greenhouse, are integrating AI-driven features to streamline and enhance hiring processes. You can explore how these platforms approach recruitment directly through their official websites.

None of this means you should try to reverse-engineer every system or obsessively optimise for filters. These tools are still evolving, and what matters most is a CV that reads clearly and honestly to both a system and a person. Understanding that this layer exists, though, is half the battle.

Remember that navigating your job search today takes more than a well-written CV. It also takes understanding the environment you are operating in, and today AI is part of that environment on both sides of the table. Used thoughtfully, it can save you time, sharpen your approach, and help you present yourself more clearly. Used passively, it can make your applications feel like everyone else's, and in today's competitive market, that is a real cost.

The question worth asking yourself throughout this process is not "can AI do this for me?" but rather "how can I use this tool to do it better myself?" Your experiences, your reasoning, and your judgment are what a hiring manager is ultimately trying to assess (remember, they are hiring you, not an AI tool, so make sure you add the value they are after). AI cannot replicate those things, and it should not try to (and we should not want it). What it can do is help you communicate more effectively as long as you stay in the driver's seat.

Good luck out there!

Blog post written by Sofiya Yuchko for Expertise in Labour Mobility

Image created by Jizelle Ys for CareerProfessor.works

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