We all know that job seekers use every tool at their disposal to craft compelling application materials to either demonstrate expertise or to differentiate themselves. But what happens when job seekers use LLMs to generate content for the job they’re looking for?
In today’s employment market, the importance of a good match is critical. But it turns out, there is a surprisingly nuanced information exchange at the early onset of the matchmaking process: the dreaded Job Application. Generally, application content (cover letters, resumes, LinkedIn content, etc.) serves two primary functions: 1) a succinct and digestible transmission of facts and 2) persuasive material for candidate differentiation. How is this information exchange being impacted by AI at a time when AI tools are claiming to “solve” human problems. It stands to reason that applicants would begin to use AI to write some or all of their job applications. What are the risks, pitfalls, biases, and outcomes for applicants and their potential employers when using AI?
This talk broadly discusses the implications and perceptions of AI generated content in job applications, and looks at the nuances from both perspectives: that of the job seeker (i.e., the content creator) and that of the hiring person/team (the content consumer).
Could AI benefit job seekers? Should hiring managers trust applicants who submit AI content? Will AI content prevent or reinforce hiring biases? This talk explores how AI complicates the human elements of the matchmaking process, and can be both helpful and harmful for both applicants and hiring teams.