Employers hire candidates who give great presentations and submit highly polished documents during interviews, but in some cases, their performance is found to be unsatisfactory shortly after the start of employment.
The question is no longer whether artificial intelligence is being used in job searches, but what happens when the use of artificial intelligence obscures actual competencies and gaps only become apparent once the employment relationship begins.
Recent reports suggest there is no clear collapse in graduate recruitment. Students continue to get jobs and employers continue to hire entry-level candidates.
At the same time, career advisors say they are increasingly using AI to help candidates create resumes, complete written assessments, and prepare for interviews. This can create a disconnect between the quality of the work submitted and the candidate’s underlying experience and abilities, especially if the employer relies heavily on written work during the hiring process.
Recent industry commentary shows that the use of AI in job applications is no longer occasional, but increasingly common.
platforms such as linkedin highlights the increasing use of AI tools to draft resumes, cover letters, and responses to applications. Careers advisors and recruitment experts also point to the recurring problem of candidates appearing highly competent on paper, but struggling to explain and reproduce their work in interviews and in-person assessments.
The subsequent legal question is not whether the use of AI is permissible. That is, whether legal exposure can arise if an employee is hired on the basis of a job that does not reflect their actual ability.
In the United States, this issue does not require a new legal framework. This falls within the established principles of misrepresentation, employment at will, negligent employment and employer liability.
At the point of hiring, credibility is an issue. If a candidate presents work that they have not meaningfully produced or implies a level of competency that they do not possess, an employer may argue that the hiring decision was based on misleading representations.
In practice, it is not common for such a situation to lead to a standalone legal claim, but it can affect your subsequent legal position. In particular, it may strengthen the legitimacy of early dismissals by employers and determine how disputes are assessed in the event of termination of the employment relationship.
Many employers rely on at-will employment to manage employment risks, allowing termination without cause, subject to legal limitations such as discrimination and retaliation. This provides flexibility, but does not eliminate all risks.
Claims can also arise if dismissal decisions are inconsistent, poorly documented, or unevenly applied. The use of AI in the recruitment process can add complexity, especially if employers have not clearly defined expectations regarding candidate outcomes or acceptable use of such tools.
A more pressing issue may arise where performance does not match expectations. Employers may find themselves in situations where new hires are unable to reproduce the standard of work presented at the time of hire, struggle to explain their reasoning, or rely on AI in ways that go against company policy. In these situations, employers will typically move into a performance management process or consider termination.
Legal risks can arise if these processes are not handled carefully. Employers who act without clear documentation, fail to set expectations, or apply inconsistent standards may face fairness and policy enforcement disputes.
While the presence of AI will not change the underlying legal framework, it may raise the possibility of questions about how employment decisions are made and how performance issues are addressed.
However, a more significant risk may be to the employer rather than the individual employee. When an unqualified employer produces defective work, causes economic loss, mishandles data, or engages in regulatory violations, the blame does not necessarily lie solely with that individual. Under the established doctrine of vicarious liability, an employer can be held liable for acts committed within the scope of employment.
In such cases, the focus may shift from employee performance to employer systems and decision-making. Questions may arise as to whether reasonable steps were taken to assess competency prior to employment and whether adequate supervision and control was in place. In more serious scenarios, concepts such as negligent hiring and supervision may apply, depending on the circumstances and the applicable state. Law.
The fundamental issue is not the use of AI per se, but the extent to which employers rely on outputs that have not been independently tested or verified before being used in a commercial or regulated context. External dependence on employee-generated output creates a gap between perceived and actual competency, which can have practical and legal implications.
This dynamic is likely to be strengthened by broader changes in recruitment practices. While AI facilitates the creation of structured and persuasive written deliverables, traditional methods of assessing practical competency, such as internships, lengthy interviews, and work-based tests, are not always consistent or widely available. As a result, some employers may place more emphasis on your presentation than on your track record when hiring.
As a result, there is a potential gap between perceived and actual competency. If that gap impacts business outcomes, it can cause legal and financial risks.
This suggests that employers need to rethink their recruitment processes, including how candidate skills are assessed and how the use of AI is addressed in recruitment and internal policies. There may be more emphasis on practical testing, validation of competency, and clear expectations regarding performance.
For graduates, the position remains unchanged in important respects. While the use of AI may help access opportunities, it does not reduce post-hire performance requirements. If expectations are set at a certain level at the time of hiring, the employer may reasonably expect that level to be met in practice.
Although the graduate job market has not fundamentally shrunk, the conditions under which candidates enter it continue to evolve. If there is a discrepancy between what is presented during recruitment and what is actually delivered, the issue can extend beyond the recruitment and create problems. Points of legal exposureEspecially for organizations that rely on these hiring decisions.
