Your AI-polished CV won’t get you the job. Here’s what might

A well-presented CV can help you stand out, but because many applicants use the same AI tools, a polished CV alone is no longer enough. As the UAE job market becomes more competitive, job seekers are under greater pressure to reconsider how they look for work. Rather than submitting a continuous series of online applications, recruiters say candidates should focus on showing why they are a good fit and provide evidence to back it up.

Sheldon Serrao, founder and business director of Talion Search Executive Recruitment, says job seekers should stop applying passively and start viewing the job description not as a checklist, but as a way to understand the problem a company is trying to solve.

BEGIN DEMONSTRATING RESULTS

For applicants, a major shift is moving from explaining their duties to showing the changes that resulted from their involvement.

Serrao states that candidates should tailor each application to the job’s real business problem; furthermore, their CVs should show impact rather than merely list functions.

This might involve replacing a list of responsibilities with specific, measurable outcomes such as revenue generated, costs reduced, customers acquired, processes improved, or projects delivered.

“When hundreds of people apply for the same position, it is not enough merely to describe the job; you have to demonstrate your impact,” says Shivani Saxena, chief business officer at RemotePass.

Saxena adds that when reading a job description, one should treat it as a problem statement, not as a shopping list of skills.

Recruiters aren’t just looking for someone who can carry out several tasks; they want to see that the candidate has already dealt with problems similar to the ones they are hiring for.

AI CAN POLISH YOUR CV

Generative AI has made it easier to rewrite a CV, customize a cover letter, and adapt an application to a job description. However, this has introduced a new issue: when everyone can produce well-polished applications, they become less distinctive.

“AI can polish language, but it cannot replicate actual experience,” Serrao says.

He believes that when filling in applications, people should base them on specific experiences, such as the difficulties they encountered, the decisions they made, and the lessons they learned.

“Recruiters today can spot generic AI-generated phrasing instantly,” he says. “But context, complexity and personality set the candidate apart.”

Saxena believes candidates should not avoid AI, but use it differently. “AI should be used to polish your application, not to invent it,” she says.

Instead of having an AI tool make your CV sound more impressive, Saxena suggests using it as a career coach by giving it the job description together with your real experience and then asking it to point out any gaps, question the claims you make, and predict the kind of questions a hiring manager might ask.

“The smartest use of AI in a job search isn’t getting it to apply for you,” Saxena says. “Sounds counterintuitive, but getting it to prepare you better is the smart move.”

YOUR CV IS NO LONGER THE WHOLE STORY

The application is also now just one element of the hiring process.

According to Saxena, candidates should consider how their CV, LinkedIn profile, and portfolio connect; for instance, if a candidate says they led a campaign, a recruiter might look for evidence elsewhere.

“Point people to the proof, whether that’s published work, a case study, or a post on your profile, as the evidence is what sets you apart and makes it easier for a hiring manager to review your profile quickly,” she says.

Because of this, professional visibility has become more important.

In Serrao’s view, LinkedIn should serve less as a digital CV and more as a platform that lets candidates show their way of thinking; recruiters can get to know a candidate before an application even reaches their inbox by sharing useful observations, taking part in industry discussions, and engaging with relevant ideas.

“Discoverability in the current market scenario is half the battle won,” he says.

REFERRALS ARE STILL RELEVANT

Both experts also point to something easy to overlook when job hunting—honing relationships.

Referrals can help candidates get past the growing number of applicants, but it may be too late to build up those relationships once you are out of work or have started looking for work.

“Your CV is only one route into a company,” Saxena says. “Your network, LinkedIn presence, referrals, portfolio and professional reputation can all create opportunities.”

Her advice is to build that network before it becomes necessary.

“If your first interaction with someone is ‘I’m looking for a job, can you refer me?’, you’re starting late,” she says.

That means staying connected to people in the industry, attending events, sharing useful work and maintaining professional relationships even when there is no immediate job opportunity attached to them.

“A job search shouldn’t be like turning on a lighthouse when the ship is already in trouble,” Saxena says. “The best time to build your professional visibility is when you don’t need a job.”

PROOF BEATS POLISH

AI still has a role in the job hunt. Both experts agree that candidates can use it to improve clarity, identify gaps and navigate automated screening.

But optimizing every line of a CV for an algorithm can only take a candidate so far.

Saxena says candidates should make their applications clear and relevant without over-engineering them for automated systems. “Don’t over-engineer your application for the algorithm, because it still has to read as human when it gets to that stage.”

Serrao takes the argument one step further. As AI makes it easier to produce competent-looking applications, he believes evidence becomes the strongest differentiator.

“The winning strategy is not to out-write AI but to out-prove it,” he says.

It therefore involves measurable achievements, along with portfolio pieces, case studies, published work, and other evidence of what the candidate has actually done.