In the latest episode of the RevOpsAF Podcast, Emir Atli, co-founder and CRO of HockeyStack, joins Matt Volm to challenge the hype around AI agents in revenue operations. Atli argues that most products labeled as 'AI agents' are not truly autonomous, and that mislabeling can lead to flawed tech stack decisions.
Atli outlines five eras of go-to-market software evolution, from static dashboards to fully autonomous workers, and places most current AI tools in the middle—far from true agency. He emphasizes that a solid data foundation is critical for real AI deployment, yet many RevOps teams lack the necessary infrastructure.
Drawing from experience with over 300 enterprise customers, Atli shares insights on what distinguishes top RevOps teams and predicts that AI will increase, not decrease, the demand for skilled go-to-market professionals.
Key takeaways:
- True AI agents must act autonomously, not just recommend.
- Most AI tools today are enhanced automations, not agents.
- Data quality is the biggest barrier to effective AI in RevOps.
- The future of RevOps will require more human expertise, not less.
The episode provides a practical framework for evaluating AI solutions and building a future-proof RevOps strategy.