Recruiters face a complex environment driven by the collision of artificial intelligence, shifting employer expectations, and evolving candidate behaviors. Jamie Kohn, a senior director analyst at Gartner, outlined four key trends reshaping the talent acquisition experience during a recent session at the Gartner HR Symposium/Xpo.
Machines are a new talent brand audience
Generative AI has become a standard decision-making tool for many people, including those evaluating job opportunities. Machines are increasingly determining whether candidates ever hear about a specific company. Gartner research suggests that by 2029, one in four candidates may be represented by an AI agent acting on their behalf rather than a human applicant.
These agents do not rely solely on a company’s career website. They gather information from news coverage, employee reviews on third-party platforms, and social media discussions. This creates a situation where organizations may receive applications from individuals who have never heard of their brand, because the AI has decided the role is a good match based on data the company does not fully control.
To ensure these agents pass along accurate information, employers must provide clear, structured, and text-based content. This includes videos with readable transcripts and up-to-date descriptions of company culture, such as policies on flexibility. Providing specific details backed by data and employee stories helps candidates understand the role fully, rather than relying on summaries.
Organizations are also moving away from a strict approach to AI risk. Previously, companies focused on avoiding any risk associated with candidate assessment tools. Application volume has more than doubled in the last two years, with data from other companies pointing to volume near tripling, due in part to bots and AI agents. This pressure has led to a “firewall” crumbling between recruiters and the technology they use to screen candidates.
Read Also: Judge Dismisses DEI Hiring Lawsuit Against Cornell University
Even with ongoing regulatory changes, relying on manual screening is no longer sustainable for most teams. Employers must evaluate where AI can reliably and fairly evaluate qualifications versus where human judgment remains necessary. Roles that are stable, repeatable, and clearly defined may be safer areas to implement automated interviews, whereas assessing soft skills or ambiguous success criteria presents higher risks.
The tools themselves are becoming more accessible. Recruiters can now access new features from current vendors and use enterprise AI platforms to build their own solutions. This trend is driven by the availability of no-code and low-code tools that allow HR teams to create AI agents directly within their human capital management platforms. However, this autonomy introduces governance challenges, such as multiple tools performing similar tasks or inconsistent processes across the organization.
Technology ownership is changing
Recruiters are increasingly interested in creating their own solutions using current vendors and enterprise tools. They often use no-code and low-code tools to accomplish this. However, this autonomy can lead to governance issues. Organizations may end up with multiple tools that perform the same function, creating technical debt and inconsistent processes.
Recruiters need new performance metrics
Recruiters are struggling with both ongoing talent shortages and talent attraction, all while being pushed to act quickly, defer to hiring managers, and focus only on open roles. “We’re asking recruiters to behave strategically while surrounding them with a system that enables and rewards the wrong behavior,” Kohn said. To fix that, employers need to reexamine process design, data access, and partnerships. And then employers need to adopt performance metrics that measure what they actually want recruiters to do, such as slate quality, time to productivity, and candidate confidence.
The Gartner HR Symposium/Xpo session highlighted the need for employers to adapt to the changing talent acquisition environment and to prioritize strategies that support recruiter success and candidate engagement, with clear and specific content being a key factor. By leveraging technology, data, and strategic decision-making, employers can build a strong talent pipeline and drive business growth.
