Fusemachines Research Shows How Agentic AI Is Becoming Core to Enterprise Hiring

68% of talent acquisition leaders surveyed through the recently launched Fusemachines Agentic AI Forum expect agentic AI to become core to talent acquisition over the next 12 months

Fusemachines Inc. (NASDAQ: FUSE), a leading AI technology company, today released findings from its inaugural Agentic AI Forum for Talent Acquisition, showing that enterprise hiring organizations are moving beyond early AI experimentation and preparing for broader adoption of agentic AI across recruiting workflows.

The findings reflect responses from senior enterprise hiring leaders, including CHROs, Chief People Officers, talent acquisition leaders, and recruiting executives who gathered at the Harvard Club in New York on April 28, 2026. Participants discussed how agentic AI is expected to shape recruiting operations, hiring workflows, governance models, and candidate experience as organizations seek to modernize talent acquisition.

According to the findings, 68% of participants expect agentic AI to become core to talent acquisition within the next 12 months, which points to a developing market for AI solutions that can operate inside real enterprise workflows. The research also found that adoption decisions are becoming increasingly cross-functional, with only 14% of organizations saying talent acquisition owns AI decisions alone, suggesting that legal, compliance, IT, security, and business operations teams are becoming important stakeholders in enterprise AI deployment.

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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 highlights several themes shaping the next phase of agentic AI adoption in talent acquisition, including:

• the rapid shift from AI experimentation toward operational planning;
• the growing role of cross-functional stakeholders in AI purchasing and deployment decisions;
• the importance of governance, auditability, and human oversight in hiring workflows;
• the need to preserve recruiter judgment and candidate trust;
• the opportunity to apply agentic AI to structured, repeatable recruiting workflows; and
• areas of the hiring process where enterprise adoption remains early and product innovation can add value.

Fusemachines said the findings are closely aligned with the practical needs it sees in enterprise talent acquisition, where hiring teams are seeking ways to manage high-volume, structured workflows while maintaining consistency, oversight, and a strong candidate experience. The company’s Interview Agent product was developed for this environment, with a focus on supporting interview-related workflows where human review, governance, auditability, and integration with existing hiring systems are important considerations. Fusemachines is increasingly focused on developing agentic AI products tailored to specific enterprise functions and operational needs. Talent acquisition is one area where the company believes agentic AI may help address clear workflow challenges while keeping human judgment central to the hiring process.

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