41% of U.K. job seekers are using AI to lie on CVs, applications, and skills assessments.

Dados da pesquisa sobre RH mostram que candidatos que usam IA recebem mais ofertas de trabalho

Seasoned recruiters are no strangers to people exaggerating their credentials to land a job, but job seekers now have a new tool to take their deception even further in the form of artificial intelligence (AI).

Capterra’s Job Seeker AI Survey of 250 job seekers in the U.K. reveals that a majority (53%) are using AI tools to help them in their current job search.* And of those that are using AI, 77% say they have leveraged it to exaggerate or lie about their skills on a CV, cover letter, job application, or skills assessment.

For recruiters, hiring managers, or even small-business owners trying to quickly evaluate and hire the best candidate, job seekers using bots and other AI tools to mask a skills deficiency represent a new obstacle in the war for talent. Companies aren’t without their own weapons in this fight, however. With help from the right recruitment software and hiring process changes, you can minimize AI cheating, flag deceptive AI content, and eliminate fraudulent candidates.

Key insights
  • The top benefits of AI, according to job seekers that use AI in their job search, are being able to apply to more jobs (22%), staying competitive with others using AI (22%), and appearing as a better job candidate (21%).
  • Job seekers that use AI complete more job applications and are 75% more likely to receive a job offer than those that don’t use AI.
  • 29% of job seekers have used AI to generate interview question answers, 27% have used AI to complete a test assignment or skills assessment, and 26% have used AI to mass apply to jobs.

Job seekers are using AI to gain an edge in getting hired

At the same time that recruiters are evaluating all the ways AI can improve their operations (Gartner says recruiting has the most current use cases for GenAI in the HR space [1]), so too are job seekers discovering all the ways AI can benefit them in the job hunt.

Do an online search for “job seeker AI tools,” and you’ll find an emerging market of applications that are designed to help job seekers in various stages of the recruiting and hiring process:

  • GenAI bots, such as ChatGPT, can create or refine CVs, cover letters, and other job seeker writing samples to appear more professional.
  • AI-powered job search tools can learn the types of jobs that people are most interested in and mass apply to them on their behalf.
  • AI teleprompter tools can listen in on phone or video job interviews and provide real-time suggestions and answers to interviewees.

All told, 53% of job seekers in our survey say they are using tools like these in their current job search, and another 23% plan to use these tools in the future. Of those that use AI, 57% say it’s very or extremely important to their current job search.

What is prompting this widespread interest in AI? One reason is to stay ahead of the competition. In our survey, 82% of job seekers say it’s likely that other people applying for similar jobs are using AI. And those that use AI say the top benefit of using it in their job search is staying competitive with others who are using AI. 

Job seekers that use AI are more successful as well. Alongside staying competitive with other job seekers, the other benefit of AI cited most often by job seekers is being able to apply to more jobs.

Pie chart showing the top benefits of AI for job seekers in the UK, including being able to apply for more jobs.

The numbers back this up. Comparing AI and non-AI users, we find that not only have AI users completed 42% more job applications on average during their current search (138 vs. 97), but they’ve also been 75% more likely to receive a job offer than those who don’t use AI.

Some, but not all, job seeker AI uses cross the line

For employers trying to hire the best candidate for the job, job seeker AI usage is a complex issue. Not only can AI content or assistance be hard to detect, but some of the ways that AI is being used by job seekers aren’t even necessarily detrimental to the candidate evaluation process.

For example, the most common ways job seekers have used AI in their current search are to write/refine their CV (39%), find relevant job openings (33%), or write/refine their cover letter (33%). In many organizations, if the candidate is still truthful about their qualifications, these uses are not only tolerated but often encouraged to demonstrate familiarity with AI tools.

Bar chart showing the top ways job seekers are using AI, including writing/refining their CV (39%) and finding relevant job openings (33%).

On the other hand, some AI uses cross the line and represent an active effort by job seekers to deceive the employer or disrupt their hiring processes:

  • 29% have leveraged AI to generate answers to interview questions, potentially to hide a lack of relevant skills or knowledge for the job.
  • 27% have leveraged AI to complete a test assignment or skills assessment, again to potentially hide a lack of relevant skills or knowledge for the job.
  • 26% have leveraged AI to mass apply to jobs, clogging recruiting pipelines with undifferentiated applications.

Companies have a difficult time identifying the best job candidate as it is. If businesses don’t get on top of job seeker AI deception soon, even more costly bad hires will follow.

How to keep AI deceivers out of your candidate pipeline

The first step for your recruiting team right now is to decide as an organization which job seeker AI uses are acceptable, and which ones need to be flagged as cheating. Your criteria should include the types of roles you’re hiring for, the sources for candidate information in your recruitment process, and the level of risk you’re comfortable with if a deceptive applicant goes undetected. 

Once the decision has been made regarding which AI uses by job seekers should be flagged, here are some ways you can reduce the number of AI cheaters in your recruitment pipeline and successfully flag AI content when it appears.

1. Let applicants know what AI uses are considered unacceptable

Of the job seekers in our survey who don’t use AI, 21% express concern that using AI tools could be perceived as cheating by an employer. Stating outright on your application page that lying about skills or credentials using AI will result in a candidate’s removal from job consideration won’t stop every cheater, but it will at least give some hesitancy to those that are thinking about using AI to deceive.

2. Use your own AI tools

If job seekers are flooding your inbox with AI-generated applications and CVs, reviewing each one manually will take too much time and delay your hiring decision. Luckily, you have your own AI you can lean on to evaluate candidates more quickly.

Gartner says 80% of recruiting technology vendors will have embedded AI capabilities into their offerings by 2027. [2] If your applicant tracking system (ATS) doesn’t have AI capabilities now, it likely will soon, and one such capability you’ll want to keep an eye on is the ability to automatically screen applications for relevant skills and experience and float them to the top of the consideration list. Just be sure to test the AI’s ability to find the candidates you’re actually looking for before deploying it.

Check out top-rated applicant tracking systems here.

3. Remove phone interviews

Job seekers will be more inclined to use AI teleprompter tools to feed them the right answers in interviews if you can’t see them. For this reason, consider minimizing the use of phone interviews and converting them to video or in-person interviews instead.


Compare video interview software systems here.

4. Have an AI content checker on hand

Geared more toward use in academia, plagiarism checker software tools are nonetheless a good tool for recruiters to have on hand now that many have their own AI content detection features. 

Simply paste or upload the text from a CV, cover letter, or test assignment, and these tools will tell you if the content was likely generated by AI. 

Find the right plagiarism checker software with AI content detection for your needs and budget here.

5. Be diligent about checking references

If a candidate says they have certain experience or a specific skill, the best way to confirm if they really do is through references. Simply asking relevant references, such as former managers or co-workers, if a candidate likely had a skill they put in a resume or said in an interview can give you the evidence you need.

Reference check software can automate reference check requests and track them over time. Learn more here.

6. Convince hiring managers to properly prioritize candidate screening and evaluation

Our recent survey of U.K. middle managers reveals that they spend only 3% of their week, on average, on recruiting and hiring tasks.** The less time that hiring managers dedicate to recruiting, the more likely they will rely on easily-fabricated content such as CVs and cover letters to evaluate candidates. By shifting the culture around recruiting, and convincing busy managers to prioritize it more as needed, they can lend more of an effort to flag and eliminate AI cheaters.

Act now to get ahead of applicant AI cheating

As more job seekers realize the benefits of AI to their job search, employers will need to move quickly to draw their line in the sand on what constitutes AI fair play. Those that then combine the right AI detection tools with critical recruiting processes and culture changes will have a clear advantage in identifying and hiring truly talented candidates.


Methodology

*Capterra's Job Seeker AI Survey was conducted in July 2024 among 2,997 respondents in the U.S. (n: 250), Canada (n: 250), India (n: 250), Brazil (n: 250), Mexico (n: 250), the U.K. (n: 250), France (n: 247), Italy (n: 250), Germany (n: 250), Spain (n: 250), Australia (n: 250), and Japan (n: 250). The goal of the study was to to understand the factors in AI-driven recruiting processes, and how prevalent AI tool usage is among job seekers. Respondents were screened to be actively looking for a job. 

**Capterra’s 2024 Manager Sentiment Survey was conducted online in December 2023 among 103 respondents in the U.K. to learn more about the experiences and challenges managers face in their current role. Respondents were screened for employment at the management level with at least one direct report.

Sources

  1. Innovation Insight: Generative AI in HR, Gartner (full research available to Gartner clients)
  2. Market Guide for Talent Acquisition (Recruiting) Technologies, Gartner (full research available to Gartner clients)