Episode 90: Understanding the Water Footprint of Agentic AI: The Hidden Resource Behind Intelligence

Episode 90: Understanding the Water Footprint of Agentic AI: The Hidden Resource Behind Intelligence

Artificial Intelligence often feels invisible.

You ask a question. An answer appears. An agent completes a task. Everything feels instant, effortless, and digital.

But beneath every intelligent interaction lies something physical.

In this episode, we explore one of the least discussed — yet increasingly important — aspects of Agentic AI:

Water.

Why would AI systems depend on water? How do data centres cool the massive infrastructure powering intelligent systems? Why might autonomous AI agents change the scale of resource consumption? And why does where computation happens matter just as much as how much computation happens?

We unpack the hidden relationship between Agentic AI, data centre cooling, electricity generation, and water scarcity, while separating hype from reality.

This episode is not about fear or slowing innovation.

It is about awareness.

Because the future of intelligence may not simply be about building smarter systems — but building systems that are efficient, responsible, and mindful of the invisible resources quietly supporting them.

🎙️ In this episode:
• Why AI has a water story
• How data centres use water for cooling
• The hidden link between electricity and water
• Why Agentic AI may change the equation
• Water scarcity and why location matters
• Building intelligent systems responsibly

Because every intelligent interaction may feel digital — but somewhere beneath the surface, physical resources are quietly at work.

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Avsnitt(102)

Episode 100: The Next Era of AI — From Agents to Enterprise Intelligence

Episode 100: The Next Era of AI — From Agents to Enterprise Intelligence

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Episode 99: Why Agentic AI Design Needs a Reset — From Repeated Reasoning to Executable Intelligence

Episode 99: Why Agentic AI Design Needs a Reset — From Repeated Reasoning to Executable Intelligence

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Episode 98: From Tokens to Outcomes to Value — Rethinking Agentic AI Economics

Episode 98: From Tokens to Outcomes to Value — Rethinking Agentic AI Economics

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Episode 97: The AI Data Center Problem — What Does Intelligence Take?

Episode 97: The AI Data Center Problem — What Does Intelligence Take?

AI is becoming more intelligent, autonomous, and agentic — but that intelligence has a very physical footprint.In this episode of Agentic AI — the future of intelligent systems, Navveen Balani explore...

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Episode 96: Why the Token Economy Has an Expiration Date

Episode 96: Why the Token Economy Has an Expiration Date

Artificial Intelligence is changing—but so is its economic model.Today, organizations measure AI in tokens. Every prompt has a cost, every response is metered, and AI success is often judged by infere...

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Episode 95: Google Gemini Enterprise Agent Platform and Lean Agentic AI— Building Lean Agentic AI That Cuts Cost, Energy & Carbon

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Episode 94: Agentic AI ROI — Why Most Organizations Aren't Seeing Business Value Yet

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Organizations around the world are investing billions in Agentic AI. New foundation models are released almost every month, intelligent agents are becoming more capable, and the pace of innovation has...

19 Juli 8min

Episode 93: Physical AI — The Next Frontier for Agentic Systems

Episode 93: Physical AI — The Next Frontier for Agentic Systems

For decades, AI has lived behind screens—answering questions, generating content, and assisting human decision-making. But a new frontier is emerging.Physical AI is taking agentic intelligence beyond ...

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