By Published On: 18 February 2026
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You apply.

You’re qualified.

You hear nothing.

After the 40th, 70th, or 100th application, the question starts to creep in:

Is AI rejecting my CV?

Clients often come to me saying they’ve applied for 100+ roles and haven’t had a single interview. They start questioning everything:

  • Am I too specialised?
  • Am I too much of a generalist?
  • Is it my career gap?
  • Am I being rejected by robots?

Many describe feeling “ghosted”. Others say they feel “rejected by the machine”.

It feels personal.

Sometimes it isn’t.

The game has changed, and you do have to change with it (especially as AI reshapes the wider career landscape for mid-career professionals). But that doesn’t mean you’re powerless.

This isn’t about gaming the system.

It’s about clarity and control.

What Is an ATS (And What It Actually Does)?

Let’s demystify this.

An ATS (Applicant Tracking System) is software many companies use to manage applications. It scans CVs, extracts information, and often ranks candidates based on criteria such as keywords, job titles, and experience.

Is an ATS the same as artificial intelligence?

Not always.

Many systems are still largely rules-based. They:

  • Scan and parse text
  • Match keywords
  • Rank candidates
  • Filter out obvious mismatches

They don’t “hate” you. They don’t sit there deciding you’re too old or too expensive.

But they can misread formatting.
They can miss context.
They can filter by rigid criteria.

And here’s something important: sometimes it isn’t the technology at all.

In some large organisations, recruitment has been offshored to save costs. I’ve seen cases in major pharma companies where recruitment teams in Vietnam or Turkey are screening CVs for highly specialised Swiss roles, with limited exposure to the business itself. In those cases, misunderstanding can happen before a hiring manager ever sees your CV.

Blaming “AI” is understandable. But sometimes the issue is process, not machine intelligence.

And even if you get past the system, you’re still competing with dozens of other applicants in the same digital queue.

Which is why optimising for ATS is step one and not the whole strategy.

Why It Feels So Frustrating (Especially Mid-Career)

Mid-career CVs are more complex.

You’ve done more. You can do more. You probably have 15–25 years of experience. That makes it harder, not easier, to be clear.

Unless the role explicitly calls for a broad generalist, you need to tailor your CV for the roles you want. That means:

  • Clear positioning
  • Concrete achievements
  • Preferably quantified results

Interestingly, achievements are one of the hardest things for AI to write well in a generic CV. “Led cross-functional initiatives” sounds impressive. “Increased regional revenue by 18% in 12 months” is clearer.

There’s also a fear I hear frequently: juniorisation. The belief that companies now want cheaper, younger hires because “AI can do the thinking”.

Layered on top of this is age anxiety. I see candidates deleting early roles or removing university dates to try to appear younger. That advice may circulate online in the US or UK. In Switzerland, where completeness is valued, it can backfire. Recruiters may feel you’re hiding something.

My advice in the Swiss market?

List early roles with title, company, and dates, but keep them brief. Don’t erase your history. Just prioritise relevance.

And no, senior professionals in Switzerland do not need to reduce their CV to one page because an American website said so.

A Real Example: The Beautiful CV That Didn’t Work

One client in marketing had created a beautiful CV in Canva — columns, icons, progress bars, design flair. She felt it showcased her creativity.

She was reluctant to change it.

Eventually, she agreed to create two versions:

  • A designed version for direct outreach
  • A simple Word format version for online applications

Five applications later, she got an interview.

Over-formatting is one of the most common and preventable mistakes.

The system needs clarity more than creativity.

The 7 ATS Mistakes Mid-Career Professionals Make (And How to Fix Them)

This isn’t new advice. Much of it is available online. The problem is it’s scattered and inconsistent. Here’s what I see most often in practice.

1. Not Adapting to the Job Description (Keywords and Titles)

ATS systems look for alignment with the job description. That includes:

  • Specific technical skills
  • Industry terminology
  • Job titles

In Switzerland, rewriting your official job title can be difficult because reference letters show the original title. Instead, clarify functional equivalents in brackets if needed.

Don’t rely on “strong communicator” or “results-driven leader”. Mirror the language used in the job description where it genuinely applies.

2. Over-Formatting

Tables, columns, graphics, logos, text boxes: they may look impressive, but they can confuse parsing systems.

Keep formatting simple for online applications. Save design flair for direct networking situations.

3. Senior “Fluff” Instead of Achievements

This is one of the biggest issues I see.

Generic, buzzword-heavy summaries with very few measurable outcomes.

Replace:

“Strategic leader with extensive experience driving transformation.”

With:

“Led a 25-person team to implement a new CRM system, reducing customer churn by 12%.”

Concrete beats glossy.

4. Burying Relevant Experience

When you have 25 years of experience, keyword dilution becomes a real issue.

Prioritise relevance, not strict chronology. Tailor your CV so the most relevant experience is easiest to find.

5. Using One Master CV for Everything

A strategy that worked 10 years ago — one standard CV plus a unique cover letter — doesn’t work as well now.

Estimates suggest only around 50% of recruiters read cover letters. If you’re short on time, adapt your CV. The CV does the heavy lifting.

6. Over-Relying on AI to Write Your CV

It’s increasingly obvious when a CV has been written entirely by AI. There’s a certain polished, generic tone that feels impressive at first glance, and empty on closer inspection.

AI is excellent as an editor.

It’s not a substitute for your thinking.

Write your CV yourself. Use AI to polish grammar, especially if you’re not a native speaker. But keep your voice.

7. Applying and Waiting (Hope Is Not a Strategy)

This is less about formatting and more about behaviour.

Sending application after application through portals can feel productive.

It often isn’t.

How to Get Out of the ATS Cycle

For mid- to senior-level roles, networking is often far more effective than online applications.

Easy Apply makes you feel like you’re moving forward. In reality, you’re often entering a crowded digital queue.

Hope is not a strategy.

A better approach:

  • Target specific companies and industries
  • Identify hiring managers
  • Seek warm introductions
  • Start conversations

Shift your mindset. You’re not asking for a favour. You’re helping a hiring manager find the right person.

Networking is hard work. Sometimes it feels like forensic research, identifying who to speak to and how to reach them. Most senior professionals already know how to navigate complex organisations internally. Now it’s about applying that skill externally.

The goal isn’t to “beat the machine”. It’s to step outside it.

Do Employers Check If a CV Is AI-Generated?

Most employers aren’t running AI-detection software on CVs.

They care about clarity and relevance.

However, overly glossy, vague, buzzword-heavy CVs can feel impersonal. It’s worth stepping back and asking: what does this actually say?

AI can improve structure and grammar. Especially if English isn’t your first language, it can be incredibly helpful.

Just don’t let it erase your voice.

CPR for Your CV (Practical Review for the Swiss Market)

If you’re stuck, you may not need a full rewrite.

You may need alignment.

Sometimes small adjustments (structure, positioning, clarity) make a significant difference.

If you’re unsure whether your CV works in the Swiss market, CPR for your CV is a practical review designed to check alignment, clarity, and positioning so you can move forward with confidence.

Because the goal isn’t to outsmart AI.

It’s to make sure the right human sees you.

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