CVs are getting longer, not clearer: the ATS and AI effect

The CV is no longer a short professional calling card. More and more often, it is not simply a document for a recruiter but an attempt to get through an automated first filter: an applicant tracking system (ATS), a ranking algorithm or an AI tool that helps the employer handle a large volume of applications.

At first glance this looks like a technical detail of hiring. In practice, automation is changing the very way candidates describe their experience, skills and professional value. They start writing CVs not only for a person but for a machine. As a result, CVs are getting longer, more packed with keywords and often less clear.

According to the Monster 2026 State of Resumes Report, almost half of US jobseekers already use a CV longer than one page. At the same time, 77% of candidates worry that their application may be screened out before a human ever sees it.

This is not just a statistic about CV format. It is a symptom of a deeper shift: candidates understand that the rules of hiring have changed, but they do not always understand how to play by the new rules.

The one-page CV no longer feels like the universal standard

For a long time, the one-page CV was seen as close to ideal. It was meant to show quickly a candidate’s experience, key skills, career path and approach to work. That logic rewarded brevity, a clear structure and the ability to separate what matters from what doesn’t.

Now that standard is fading.

According to the Monster report, 49% of jobseekers use a CV longer than one page, and 30% send documents of two pages or more.

A long CV is not a problem in itself. A candidate may have a complex career path, several relevant roles, management experience, a track record of projects, a technical specialisation or international experience. Not all of that fits neatly on one page without losing meaning.

The problem starts when the extra length is not the result of rich experience but a way of hedging against the algorithm. Candidates add more phrases, more skills, more tool names, more descriptions of duties — anything the system might pick up as a relevant signal.

The CV may end up longer, but not necessarily stronger. It may match the job ad better while doing a worse job of explaining how exactly the candidate added value to the business.

Candidates increasingly write CVs for the filter, not the reader

Automated screening systems are changing how candidates behave. If a candidate believes the first round of assessment happens without a human involved, they start thinking not only about content but about whether their CV will be recognised.

This leads to a new way of writing. Instead of a coherent story of a professional path, the CV fills up with short fragments, lists, clusters of skills, phrases repeated from job ads, and names of technologies, functions and industry terms.

The approach is understandable. Unlike an attentive recruiter, an algorithm does not always pick up context, career logic or the quality of a career move. It works better with matches: words, job titles, skills, system names, certificates and formal signs of relevance.

That is exactly where the risk lies. A good specialist with a strong CV that is not “keyword-rich” enough may lose out to a candidate who tailored their document more closely to the formal requirements. And at the next stage, the recruiter gets a text full of signals for the system but with less real professional clarity.

Tailoring CVs has become faster, but often shallower

Another important finding from the Monster report: 68% of jobseekers spend less than 30 minutes tailoring their CV to a specific vacancy.

At first glance this could be seen as a good sign. Candidates are not sending the same document to every employer; they do adjust their CV to the role. But speed does not always mean quality.

Superficial tailoring often comes down to adding a few words from the job description, reshuffling the emphasis in the skills section or expanding the list of duties. Sometimes this does help get past the first filter. But such edits do not always make the CV more convincing to a human reader.

Good tailoring is not the mechanical insertion of keywords. It means reshaping your professional experience around a specific role: which tasks were similar, which results are relevant, which skills are genuinely backed by practice, which achievements should come first.

If a candidate spends less than half an hour on this, there is a high risk that they are not rethinking the document but simply making it more “algorithmic”.

Old templates haven’t gone anywhere

Interestingly, despite their anxiety about automated screening, many jobseekers still use outdated CV elements.

According to Monster, 57% of candidates include their full home address and 49% add the phrase “references available upon request”. Yet only 18% include a link to their LinkedIn profile.

This shows clearly that the market is in transition. On the one hand, candidates feel the pressure of digital hiring and try to adapt to ATS. On the other, they keep relying on familiar formats that have long since stopped reliably helping employers judge a candidate’s relevance more quickly.

The result is an odd mix of old and new. A single document can contain a full postal address, a formal line about references and a long list of keywords added for the automated filter. A CV like this tries to satisfy several eras of hiring at once — and often loses focus as a result.

The main problem is not length but lost clarity

Discussions about CVs are often reduced to a question of length: one page or two. That is too narrow a view.

One page can be weak if it lacks specifics, shows no results and leaves the candidate’s professional value unclear. Two pages can be strong if they are well structured, present experience logically and help the reader quickly see why the person fits the role.

So the problem is not length as such. The problem is that CVs are getting longer not for the sake of clarity but as insurance.

A candidate adds more information because they do not know which signal will work. They try to cover every possible requirement, repeat the right words, show more functions and not miss a single skill that might matter to the system.

But for a human, a CV like this is often harder to read. It is harder to see the main thread of the career, real achievements, the scale of responsibility and professional maturity.

Distrust of the hiring process makes the problem worse

One of the most telling figures in the report: only 6% of candidates believe CVs are read carefully. Another 43% think hiring managers only skim applications.

This is an important signal not only for jobseekers but for employers too. If candidates do not believe their experience will be looked at properly, they become defensive. They do not write the CV as a clear professional document; they try to protect themselves in advance from an invisible filter.

That is where the overload comes from. The candidate does not know who the first reader will be: a recruiter, a hiring manager, an ATS or an AI tool. So they try to please everyone at once.

For the algorithm, they add keywords. For the recruiter, formal sections. For the manager, achievements. For themselves, extra details they cannot bear to cut. In the end the document grows, and its main message becomes harder to see.

Automation speeds up hiring but makes it less transparent

Automated recruitment systems did not appear by chance. Employers receive large numbers of applications, especially for high-volume, remote and popular roles. Without technology, processing that flow is slow and expensive.

ATS and AI tools help organise applications, sort candidates, find matches, speed up initial screening and reduce the workload on recruiters.

But there is a flip side. The more the process depends on automation, the more anxious candidates become. A candidate cannot see why their CV did or did not move forward. They do not understand which criteria were decisive. They do not know whether the assessment was substantive or purely formal.

When the process is opaque, candidates start optimising form rather than substance. It is a rational response to a system they do not fully understand.

New CV elements have not yet become the norm

Digital profiles, portfolios, public projects, professional activity and verifiable results matter more and more in the job market. Yet according to Monster, only 12% of jobseekers include a portfolio and 10% state their pronouns.

This shows once again that the CV is in a transitional phase. The old norms no longer give confidence, and the new ones have not yet become a clear standard.

Candidates understand that a simple list of past jobs is not always enough any more. But not everyone knows how best to add to their CV: a profile link, a portfolio, projects, case studies, results, recommendations or other evidence of professional value.

So many choose the most obvious route — they add more text.

What this means for candidates

The main takeaway for jobseekers: you really should tailor your CV to each vacancy, but you should not turn it into a list of keywords.

A strong CV has to do two jobs at once. First, it must be structured and relevant enough to pass the initial filter. Second, it must remain clear to the person who will decide on the next stage.

This means context matters as much as skills. Results matter as much as duties. And listing tools is not enough without explaining which problems you solved with them.

If the document gets longer, there should be a reason. Every extra line should help the reader understand the candidate’s professional value, not just increase the chance of matching the algorithm.

What this means for employers

The report also carries an important signal for employers. If most candidates fear their CV will be screened out before a human sees it, the hiring process has a trust deficit.

Automation itself is not the problem. The problem arises when candidates do not understand how selection works, which criteria matter and how exactly their CV will be assessed.

Companies that want high-quality applications should think not only about how fast they process CVs but about how transparent the process is. The clearer the job description, the selection criteria and the expectations of candidates, the less incentive jobseekers have to overload their CVs with unnecessary detail.

If an employer wants accurate, honest and focused applications, it has to send the market a clear signal itself: what really matters for the role, which skills are mandatory, which can be developed and which results will count as relevant.

The CV is becoming a dynamic document

The modern CV can no longer be seen as a single universal file that a candidate sends to every vacancy for years. It is becoming a dynamic document that changes depending on the role, the industry, the seniority of the position and the logic of the selection process.

But dynamic should not mean chaotic.

The future of the CV lies not in endlessly adding length or mechanically stuffing the text with keywords. It lies in presenting experience more precisely: a clear structure, provable results, relevant skills and an understandable professional logic.

Algorithms may be the first filter. But the hiring decision still rests on trust, context and an understanding of what value a person can bring to the company.

That is why a good CV has to do more than get past the machine. It has to stand up to a human reading it.

Summary

The Monster report shows more than a change in CV length. It captures a deeper transformation of the labour market: candidates increasingly write their CVs amid uncertainty and distrust of the selection process.

They know automation plays an ever larger role. They understand their CV may be screened out before any contact with a human. They try to adapt — quickly, at scale and not always accurately.

That is why CVs are getting longer. But it does not mean they are getting clearer.

The main challenge for candidates is to learn to write documents that make sense to both the algorithm and the human. The main challenge for employers is to make the hiring process transparent enough that jobseekers stop guessing the rules and start describing their experience more precisely.

Until that happens, the market will keep receiving more and more CVs written less to be read than to get through the filter.