AI is moving beyond meeting notes – and into the work that happens next.

In this UC Today interview, Christopher Carey speaks with Global Tech Futurist Daniel Burrus about the rise of AI that can capture decisions, connect context across collaboration tools, schedule meetings, coordinate follow-up, and help teams move from conversation to execution.

But as AI gains more autonomy, where should organizations draw the line?

Burrus discusses why agentic AI needs meaningful constraints, the risks of an AI-first approach to workplace productivity, and why the most sustainable model is human-first AI: using intelligent agents to augment people, strengthen collaboration, and preserve trust.

In this interview:
🔵 Why every workplace conversation could become “organizational intelligence”
🔵 How AI can turn meeting outcomes into coordinated action
🔵 The benefits – and limits – of autonomous scheduling and workflow coordination
🔵 Why governance, testing, and guardrails matter for agentic AI
🔵 The trust risks of using AI primarily to cut headcount
🔵 Why AI should augment human roles, not replace them

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