The use of AI in recruitment is growing rapidly. Organisations are increasingly relying on advanced tools for sourcing, matching and screening to improve speed and efficiency. At the same time, a new challenge is emerging: AI generated applications and CVs that are partly or entirely inauthentic.
What started as the optimisation of CVs using generative AI is increasingly evolving into deliberate misrepresentation. Examples include fabricated work experience, non-existent qualifications, stolen identities or proxy interviews where someone else conducts the interview. This development affects not only recruitment, but also compliance, IT security and the governance of the total workforce.
From optimisation to misrepresentation
AI makes it easy to generate large volumes of CVs and cover letters in a short period of time, perfectly aligned with vacancy texts and ATS filters. In many cases, this involves legitimate use, such as improved wording or translations. The line is crossed when AI is used to fabricate skills, projects or entire career histories.
International research indicates that application fraud is increasing. Employers report more frequent cases of incorrect or false information, while candidates themselves acknowledge that interview fraud occurs. The risk appears to be highest in remote roles, digital positions and scarce profiles.
Why do these fake applications emerge?
The main drivers include:
- Mass automation; with minimal effort, dozens of applications can be submitted simultaneously.
- Competitive pressure in recruitment funnels; candidates increasingly feel that without AI support, their profile no longer stands out.
- Deliberate fraud; in some cases, the objective is to gain access to systems, projects or income under false pretences.
- A focus on speed over control; many processes prioritise time-to-hire and candidate experience, rather than thorough validation at the front end.
The impact on organisations
The consequences go beyond a poor hiring decision:
- Reduced quality and productivity
- Compliance and reputational risks
- Increased exposure to IT and data security risks
- Growing pressure on recruiters and hiring managers
How should organisations respond?
Banning AI is not the answer. A more effective approach is to raise the threshold for misuse without discouraging genuine candidates:
- Ask contextual questions about specific projects and decisions listed on the CV
- Introduce small-scale, early validation, such as short live cases
- Look for patterns and inconsistencies rather than relying on AI detection tools
- Apply risk-based verification for roles with higher sensitivity
- Establish clear guidelines on permitted and non-permitted use of AI
A structural shift
The rise of AI-generated fake CVs highlights a broader shift: recruitment is moving from selection alone towards validation and control as well. Authenticity and reliability are becoming just as important as speed and scalability.
