When every CV looks perfect: The AI challenge for HR

Imagine receiving two CVs for the same position. Both are perfectly written. Both highlight exactly the skills you’re looking for. Both use flawless language and compelling achievements. So which one reflects genuine experience and which one has been carefully enhanced by artificial intelligence?

With tools like ChatGPT becoming part of everyday job hunting, this question is becoming increasingly relevant for HR teams across Switzerland.

The good news is that AI itself isn’t the problem. Used responsibly, it helps candidates communicate more effectively and present their experience more clearly. The challenge is that the same technology also makes it easier to fabricate credentials, invent employers and claim experience they don’t have.

According to Gartner, by 2028 one in four candidate profiles globally could be fake.¹ The question is no longer whether AI-assisted resume fraud will reach your recruitment process. It’s whether your hiring process is designed to detect it.

Can you actually tell if a CV was written with AI?

Probably not. And that’s exactly the point.

Today’s AI tools generate language that sounds natural, professional and highly tailored to a specific vacancy. They can rewrite a CV to match a job description, optimise keywords, use industry-appropriate vocabulary, improve formatting and even generate measurable achievements that sound entirely plausible.

For most candidates, AI is simply another writing assistant. They use it to improve grammar, sharpen bullet points or adapt language for a particular role. In many ways, it’s what every previous generation did with professional resume writers and feedback from mentors. The tool is new, but the intention isn’t.

For others, AI can influence more than just CVs. As remote recruitment becomes increasingly common, organisations also need to consider identity fraud and impersonation. Because fraudsters can create convincing online identities, use AI-generated profile photos and, in some cases, even rely on deepfake technology during video interviews.

The old signals stopped working

For decades, hiring teams relied on a familiar set of proxies: a well-structured resume, a confident interview, a positive reference conversation. These signals worked because producing them convincingly required genuine underlying experience. That assumption no longer holds. A candidate can now generate a keyword-optimised resume precisely calibrated to a job posting, rehearse interview answers with real-time AI assistance and supply a reference who will confirm a fabricated employment history when called.

The uncomfortable consequence, flagged increasingly by talent acquisition researchers, is what some now call signal erosion: organisations risk selecting candidates who are best at navigating the hiring process, rather than candidates who are best equipped for the job itself.

What a CV tells you is what the candidate wants you to know. What verification tells you is what is actually true. Background screening solutions make it easier than ever to verify employment, education and professional credentials without slowing down recruitment. Success depends less on the tools themselves than on using them consistently as part of a structured hiring process.

Four signs a CV deserves closer verification

An AI-generated application is not necessarily dishonest. However, certain patterns should encourage recruiters to verify information more carefully before making hiring decisions.

Employment history is difficult to verify: Vague employer names, unclear job descriptions or organisations with little publicly available information can make previous employment difficult to confirm.

Achievements without supporting evidence: AI tools can generate fake accomplishments with specific numbers to make bullet points sound credible. Candidates should be able to explain their role, the context and the results they achieved.

Qualifications that cannot be confirmed: Degrees, professional licences and certifications remain important hiring criteria. Verifying them directly with the issuing institution helps ensure that qualifications are authentic and accurately represented.

CV-to-LinkedIn mismatches: A candidate’s resume, an online profile and the supporting documents should tell a consistent story. Differences in employment dates, job titles or educational background are not always problematic, but they should always be clarified.

So how can employers verify candidates with confidence?

This is where a structured verification process becomes invaluable. Rather than relying solely on interviews, references or first impressions, organisations should independently verify the information that matters most. Depending on the role, this may include:

• Identity verification
• Employment history
• Work permit
• Education and professional qualifications
• Criminal record extracts
• Financial probity
• Professional licences
• Conflicts of interest and side jobs

Not every role requires every check. The objective is to apply the right level of verification based on the level of risk. In Switzerland, that calibration also has to account for FADP and GDPR requirements around how candidate data is collected, stored and processed, which makes a structured, compliant verification partner as much a legal safeguard as a hiring one.

What does a resilient process actually looks like?

This doesn’t mean treating every AI-assisted application with suspicion or rejecting candidates simply because their writing sounds polished. It means rebuilding verification around the assumption that any single document, on its own, can no longer be trusted at face value.

A few principles matter most:

Verify earlier, not just at the end: many organisations tend to perform background checks after selecting their preferred candidate. Moving key verification steps earlier in the recruitment process helps identify discrepancies before hiring decisions have effectively been made.

Cross-check multiple sources: a CV should be consistent with LinkedIn, qualifications, references and employment history. Looking at several independent sources provides a more complete and more reliable picture.

Use independent sources: whenever possible, employment history, education and professional credentials should be confirmed through official or independent sources rather than relying solely on information supplied by the candidate.

Match verification to risk: not every role requires the same level of scrutiny. Positions involving financial responsibility, sensitive data or regulatory requirements may justify more extensive verification.

Be transparent: telling candidates upfront that checks may be carried out creates clear expectations, supports fairness and discourages intentional misrepresentation.

Trust is built on verification

Artificial intelligence is here to stay and its role in recruitment will continue to grow. Used responsibly, it can improve efficiency for both candidates and employers.

But one thing has not changed: organisations still need to know who they are hiring.

The most successful employers in this environment will not be those that reject AI, nor those that blindly trust every polished application. They will be the ones that treat verification not as a compliance checkbox at the end of the process, but as a foundational element of how they evaluate candidates from the start, beginning with confirming who the candidate actually is.

Because in an era where anyone can generate a convincing CV in seconds, trust should never be based solely on a well-written application. It should be built on facts that can be independently verified — which is exactly what Aequivalent helps Swiss employers do, every day.

¹Gartner Survey July 2025