Roy Mann, co-CEO of monday.com, shares insights from the company's agent labs, illustrating how AI agents are evolving from tools to proactive collaborators. Mann stresses the urgency for organizations to engage with AI now or risk professional obsolescence.
- AI agents are becoming autonomous collaborators with distinct roles
- Adoption challenges include technical instability and workforce resistance
- Enterprises must act now to avoid falling behind competitively
What happened
At the J.P. Morgan Global Technology Conference, Roy Mann detailed developments from monday.com’s agent labs, where AI agents have personalities and collaborate fluidly with each other and human teams. Mann provided a vivid example where one AI agent developed an API on behalf of another to complete a user request, showcasing emergent teamwork and problem-solving between agents.
This progress highlights an early-stage but rapidly evolving use of agentic AI in enterprise environments. Despite the promise, Mann candidly described the underlying AI models as unstable and unpredictable, necessitating careful exploration and refinement before widespread usage.
Why it matters
Mann believes AI-driven agents will soon become indispensable in business operations, fundamentally changing workflows and productivity. Organizations are already moving from mere curiosity and testing to allocating budgets for AI tools in 2026, with 2027 poised to drive compulsory adoption for competitiveness.
However, technological promise is tempered by significant organizational challenges. Many employees fear displacement, and adoption resistance may slow progress. Mann emphasizes the importance of managing this transition thoughtfully to ensure acceptance and realize gains in efficiency and business growth.
What to watch next
Enterprises should monitor the evolution of agentic AI platforms like monday.com’s, focusing on stability improvements and integrations that simplify setup, such as one-click connections to services like Gmail. The user-friendly interface lowers barriers, accelerating adoption curves across industries globally.
Additionally, how companies address cultural resistance will be critical. Industries must balance the drive to innovate with transparent communication to workers, transforming AI from perceived threat into an enabler. The coming year will reveal how rapidly organizations transition from experimental phases to meaningful, sustained AI deployment.