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Agentic AI in Hiring: Speed, Scale, and The Human Touch
Agentic AI in Hiring: Speed, Scale, and The Human Touch

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AI advancements are transforming human resources, with talent acquisition emerging as the most prominent use case.

Recruiting workflows are being reimagined through AI agents whether it is sourcing, screening, or scheduling. Many leading HRMS platforms have already launched recruiting agents, while others are in the process of rolling them out. At the same time, several AI-first HR startups are focusing on talent acquisition as their primary entry point into the market

The shift is driven by the need to provide better candidate experience, expand access to diverse talent, and analyze candidates more effectively, particularly when handling high volumes of applications.

As hiring cycles become shorter and candidate expectations continue to rise, agentic AI can offer a significant competitive edge when implemented thoughtfully. However, success depends on carefully addressing key concerns, such as   bias and fairness, data privacy and security, and clearly defining the roles of humans and machines in the hiring process. This approach isn’t about replacing recruiters. It’s about empowering them with AI agents that can learn, adapt, and scale, while maintaining transparency and integrity.  

For tech professionals designing HR solutions for the workforce of tomorrow, this session will offer practical insights and critical foresight. 

Hosted by Shrikant Pattathil, President & CTO at Harbinger Group, the session will feature panelists Lawrence P., CEO & Co-Founder at InterspectAI, and Albert Loyola, Partner at Ignite Human AI. Together, they will explore the role of Agentic AI in building a future-ready, human-centered hiring strategy.

Join us on August 13, 2025, at 11 AM ET for an insightful discussion that blends innovation with impact—designed for HR tech leaders shaping the next generation of hiring.

Key Takeaways

  • Discover practical use cases of agentic AI transforming key stages of the recruiting process.

  • Examine critical considerations for setting boundaries and safeguards around AI-led hiring decisions.

  • Explore the challenges of deploying AI agents, including hiring bias, data integrity, and emerging regulatory requirements.

  • Understand how AI agents and human recruiters can collaborate to enhance candidate experience and decision quality.

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