The article argues that the rise of ‘agentic AI’—autonomous systems capable of planning and executing complex tasks—requires a fundamentally new category of customer data. Traditional customer data, often historical and static, is insufficient for these proactive agents. The piece introduces the concept of ‘intent data,’ which captures a user’s real-time goals, context, and desired outcomes. This data is dynamic, forward-looking, and essential for AI agents to make appropriate decisions and take actions on a user’s behalf. The author suggests that businesses must develop new strategies and infrastructure to collect, structure, and leverage this intent data to fully realize the potential of agentic AI systems. Read the full article at: https://venturebeat.com/ai/why-agentic-ai-needs-a-new-category-of-customer-data