Fusemachines has released new research showing that enterprise hiring leaders are rapidly moving beyond early-stage AI experimentation and preparing to integrate agentic AI more deeply into recruitment operations. The findings were unveiled during the company’s inaugural Agentic AI Forum for Talent Acquisition, held at the Harvard Club in New York.
Based on the results from surveys conducted among senior HR and talent acquisition professionals, it was discovered that 68% of those surveyed anticipate that agentic AI will play an integral role in talent acquisition in the coming year. Survey respondents consisted of CHROs, Chief People Officers, recruiting professionals, and talent acquisition specialists researching ways that AI can be leveraged in the hiring process.
It appears that organizations are increasingly seeing agentic AI not just as a productivity aid but as something that should be governed responsibly within the context of their enterprise architecture.
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“Enterprise hiring leaders are showing real urgency, but also a clear focus on practical implementation,” said Sameer Maskey, Founder and CEO of Fusemachines. “The findings point to a market that is evaluating agentic AI not only for efficiency, but also for governance, workflow fit, candidate trust, and organizational alignment. We believe this is where enterprise AI needs to go next from experimentation to useful, responsible systems that support how organizations actually operate.”
The report also revealed that AI adoption decisions are no longer being led solely by talent acquisition teams. Only 14% of companies indicated that the hiring department solely makes decisions regarding procurement and implementation of AI solutions in hiring. Rather, other departments such as the legal, information technology, compliance, security, and operations divisions have become increasingly active in assessing enterprise-level AI initiatives.
Other observations made during the study include an increased need for governance models, audit capabilities, and human involvement in overseeing AI-assisted hiring. It was also noted that there is a need to respect candidates’ trust even as AI tools are applied to automate the repetitive aspects of hiring.
Fusemachines noted that their results corresponded highly with issues experienced by enterprise hiring departments, especially when dealing with large numbers of candidates while ensuring consistency and accountability in hiring.
