Key Takeaways
1️⃣ Rapid Early Adoption: Nearly 4 in 10 organizations are already piloting or scaling AI agents, including multi-agent systems. Even more telling, 85% of executives believe agents will handle at least one business process in their function within 3-5 years.
2️⃣ The Trust Deficit: Despite the optimism, a staggering 71% of organizations state they can't fully trust autonomous AI agents for enterprise use. This highlights a critical need for stronger governance and explainability.
3️⃣ The Preparedness Gap: There's a huge disconnect between ambition and readiness. While most leaders see the potential, only 28% of organizations feel they have the skills and expertise needed to effectively deploy AI agents.
The latest Capgemini report paints a fascinating picture of Agentic AI's journey into the enterprise. We're clearly past the "what if" stage and firmly in the "now what?" phase.

The data reveals a classic technology adoption dilemma: the tech is advancing faster than our ability to adapt organizationally. Leaders are bullish on the potential for agentic systems to drive efficiency, but the foundations of trust and talent are lagging.
What’s most compelling is the conceptual shift from seeing AI as a technology tool to an autonomous team member. This isn't just about automating a task; it's about integrating a new type of intelligence into our workflows. Yet, the report shows that few have started the hard work of redesigning job roles (only 14% have) or restructuring workflows (only 18% have) to accommodate this new reality.
The real challenge isn't just deploying agents—it's architecting the new human-AI operating model. The companies that focus on building trust through robust governance and actively upskilling their workforce will be the ones to unlock scalable, sustainable value.
How is your organization preparing your workforce to collaborate with AI agents?
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What is the current state of Agentic AI adoption in the enterprise?