The way CVs are read has changed. Not long ago, a candidate’s CV was almost always reviewed first by a recruiter or hiring manager. Today, depending on the employer, sector and application process, that first read may involve an applicant tracking system, keyword-matching software or an AI-supported screening tool.
That does not mean your CV should be written for a machine instead of a person. In fact, the strongest CVs in today’s market do both: they are structured clearly enough for digital screening tools to understand and compelling enough for a human recruiter to see the value behind the experience.
For candidates, this creates a new challenge. A CV can no longer rely on attractive formatting, broad statements or generic descriptions. It needs to be specific, searchable, evidence-led and aligned with the role. At PE Global, we work with candidates and employers across sectors, including pharma, biotechnology, medical devices, healthcare, engineering, construction, technology, energy, finance and more. Across these markets, one message is becoming increasingly clear: clarity wins.
One of the most important CV writing habits in an AI-driven market is tailoring. Before applying, read the job description carefully and identify repeated skills, qualifications, systems, tools and responsibilities.
Why AI Is Changing the CV Conversation
AI is not replacing the need for strong candidates. It is changing how candidate information is processed.
Many recruitment platforms are now designed to help employers manage large volumes of applications. These systems may scan CVs for job titles, skills, qualifications, experience levels, locations, certifications and sector-specific terminology. Some tools help summarise applications, compare CVs with job descriptions or highlight candidates who appear to match a role.
This can make hiring more efficient, but it also means candidates need to think differently about how they present themselves. A CV that is visually impressive but difficult to parse may perform poorly. A CV that uses vague language may fail to show a strong match. A CV that does not include the right terminology may be overlooked, even if the candidate has the relevant experience.
The goal is not to “trick” AI. The goal is to make your experience easy to understand.
Old CV Rules vs New CV Rules
| Traditional CV Approach | AI-Driven Market Approach |
| Focus on design and visual impact | Focus on clarity, structure and readability |
| Use broad descriptions of responsibilities | Use specific skills, tools, achievements and outcomes |
| Send the same CV for every role | Tailor each CV to the job description |
| Rely on soft skills alone | Balance soft skills with evidence and measurable results |
| Use unusual headings or creative layouts | Use standard headings that screening tools can recognise |
| Keep details general | Include relevant keywords, certifications and sector terminology |
| Assume a recruiter will interpret everything | Make your relevance obvious from the first scan |
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Start With a Clear Professional Profile
Your opening profile should be short, direct and relevant to the type of role you want. Avoid generic phrases such as “hardworking professional looking for a new challenge.” Instead, use the first few lines to tell the reader who you are, what you specialise in and what value you bring.
For example:
“Quality Assurance Specialist with five years’ experience in GMP-regulated pharmaceutical environments, supporting batch record review, deviation management, CAPA processes and audit preparation.”
This works because it includes role type, years of experience, sector, regulatory context and relevant skills. It is useful for both AI screening tools and human recruiters.
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Use Standard CV Headings
Creative headings can cause problems for screening software. Keep your CV easy to scan by using familiar section titles such as:
- Professional Profile
- Key Skills
- Work Experience
- Education
- Certifications
- Technical Skills
- Professional Memberships
- Projects
Avoid replacing “Work Experience” with phrases like “My Journey” or “Career Story”. They may look distinctive, but they can make your CV harder for systems to interpret.
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Match Your Language to the Job Description
One of the most important CV writing habits in an AI-driven market is tailoring. Before applying, read the job description carefully and identify repeated skills, qualifications, systems, tools and responsibilities.
For example, if a job description mentions “GMP”, “validation”, “SOPs”, “deviation management” and “CAPA”, and you have that experience, those terms should appear naturally in your CV.
This does not mean copying and pasting the job description. It means reflecting the language of the role where it genuinely matches your background. AI screening tools often look for relevance, but recruiters are still looking for authenticity.
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Build a Skills Section That Works Harder
A strong skills section can help your CV perform better in digital screening while also giving recruiters a quick summary of your suitability.
Instead of writing a long list of generic terms, group your skills by relevance. For example:
Technical Skills: SAP, AutoCAD, MS Project, Python, Power BI
Regulatory Knowledge: GMP, GDP, ISO 13485, FDA compliance
Project Skills: Stakeholder management, risk assessment, change control, reporting
Healthcare Skills: Patient care, clinical documentation, HIQA standards, safeguarding.
This structure is easier to read and gives important keywords a clear home.
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Prioritise Evidence Over Empty Claims
AI may help identify relevant words, but human recruiters still make decisions based on evidence. Statements like “excellent communicator” or “strong team player” are not enough on their own.
A better approach is to connect skills with outcomes:
- “Led weekly project updates with cross-functional teams across engineering, quality and operations.”
- “Reduced document review turnaround time by 20% by improving internal tracking processes.”
- “Supported the onboarding of 15 temporary healthcare staff across multiple residential care settings.”
Where possible, include numbers, scale, systems, environments, savings, timelines or improvements. Evidence makes your CV more credible.
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Keep Formatting Simple and Searchable
An AI-friendly CV does not need to be plain, but it should be clean. Avoid overly designed templates, heavy graphics, icons, text boxes, columns and images. These can interfere with how applicant tracking systems read information.
Best practice includes:
- Use a simple Word or PDF format, unless the employer requests otherwise.
- Choose a clear font such as Arial, Calibri or Aptos.
- Avoid placing key information in headers, footers or graphics.
- Use bullet points rather than long paragraphs.
- Keep job titles, company names and dates easy to identify.
- Use consistent formatting throughout.
A good test is this: could someone understand your CV in 30 seconds? If the answer is yes, you are on the right track.
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Make Job Titles and Dates Clear
Screening tools and recruiters both rely on context. If your job title is unclear, or if your dates are hard to follow, your CV may raise unnecessary questions.
Use a consistent format such as:
Quality Engineer | ABC Medical Devices | Cork | March 2021 – Present
Then follow with concise bullet points outlining your responsibilities and achievements.
If you have had contract roles, temporary assignments or locum positions, make that clear. Contract experience is valuable, especially across sectors where project-based hiring is common. The key is to present it in a structured way, so your career path is easy to understand.
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Do Not Overload Your CV With Keywords
Keyword stuffing is one of the biggest mistakes candidates can make. A CV that repeats the same terms unnaturally may pass a basic scan but fail when read by a recruiter.
Use keywords honestly and in context. If you mention a system, regulation or technical skill, show where you used it. If you list a competency, support it with an example. The best CVs are not just keyword-rich; they are meaning-rich.
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Show Adaptability and Digital Confidence
AI is changing hiring, but it is also changing the workplace. Employers increasingly value candidates who can adapt to new tools, systems and ways of working.
Depending on your sector, it may be useful to include examples of digital tools, automation, reporting systems, electronic records, project platforms or data tools you have used. This is especially relevant in areas such as engineering, life sciences, healthcare, technology, finance, construction and energy.
You do not need to present yourself as an AI expert unless the role requires it. But showing that you are comfortable with digital systems can strengthen your application.
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Remember That Recruiters Still Matter
A common misconception is that AI makes recruitment less human. In reality, good recruitment still depends on judgement, market knowledge, relationships and context.
A CV can tell part of the story, but a recruiter can help explain the bigger picture: why your contract experience is relevant, how your skills transfer into another sector, what employers are really looking for and where your CV could be stronger.
That is where working with a specialist recruitment agency can make a real difference. At PE Global, our consultants understand the industries we recruit for and work closely with candidates to match experience, goals and opportunities.
Quick Checklist: Is Your CV Ready for an AI-Driven Market?
| CV Question | Why It Matters |
| Does your CV use standard headings? | Helps screening systems identify key sections |
| Have you tailored it to the role? | Improves relevance for both AI and recruiters |
| Are your skills easy to find? | Makes your suitability clear quickly |
| Have you included role-specific keywords? | Helps match your CV to job requirements |
| Are achievements backed by evidence? | Builds credibility with hiring teams |
| Is the layout simple and readable? | Reduces the risk of parsing errors |
| Are job titles and dates clear? | Helps recruiters understand your experience |
| Have you avoided keyword stuffing? | Keeps the CV natural and professional |
| Does it still sound like you? | Authenticity matters in interviews |
Final Thought: Write for the System, But Speak to the Person
The new rules of CV writing are not about beating AI. They are about removing friction. A strong CV should make it easy for technology to identify your relevance and easy for a recruiter to understand your value.
In an AI-driven market, clarity is a competitive advantage. Candidates who can present their skills, achievements and experience in a structured, searchable and authentic way will be better positioned to move through the hiring process.
Whether you are actively looking for your next role or simply considering your options, PE Global’s recruitment consultants can help you understand where your skills fit in the market. Explore our latest jobs or reach out to a PE Global consultant today to take the next step in your career.