The Data Center Episode: Power, Water & Local Impact | Attempted Intelligence Ep. 2

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KnowBe4 | Securing Humans & Agents
Oct 21, 2026
KnowBe4

How much power and water do AI data centers actually consume—and what does their growth mean for local communities?

In Episode 2 of Attempted Intelligence, hosts Harlan Parrott (VP of AI Innovation at KnowBe4) and Matt Duren (SVP of Engineering for AI & Data) go head-to-head in a friendly debate over the environmental and economic realities of AI infrastructure. A coin flip assigns their positions as they tackle the viral claims surrounding AI energy consumption, local water usage, and the trade-offs facing local governments.

From the global electricity demands of AI model inference to Loudoun County's property tax story, Harlan and Matt analyze the facts through both a global macro lens and a local community perspective—examining why what's true on average doesn't always reflect what happens in a local watershed or power grid.

KEY TAKEAWAYS FROM EPISODE 2:

  • Global vs. Local Realities: Why national averages for power and water usage fail to capture local community impacts.
  • Power & Infrastructure: Examining global electricity demand, rising inference rates, and local grid capabilities.
  • Water Usage Facts: Breaking down cooling systems, closed-loop technology, and how AI infrastructure compares to agriculture.
  • Community Trade-offs: Navigating noise thresholds, property tax revenue benefits, and how citizens can advocate at local and state levels.

CHAPTERS / TIMESTAMPS:

00:00 - Introduction to Attempted Intelligence

01:23 - Welcome to Episode 2: A Friendly Debate on Data Centers

02:17 - Ground Rules: Assigned Debating Sides

03:14 - The Coin Flip: Setting the Pro & Con Positions

03:49 - The Core Lens: Global Impact vs. Local Realities

05:24 - Electricity: How Much Global Power Goes to Data Centers?

07:17 - International Growth Rates & Ireland's 23% Grid Usage

08:27 - Algorithmic Services vs. AI: Not Every Search Needs an LLM

10:40 - When Local Power Rates & Demand Increase

11:14 - Cheaper AI Inference vs. Massive Scale

13:23 - The Economic Upside: Funding Local Power Grid Infrastructure

16:54 - Labor Union Support & Community Economic Development

18:43 - Community Advocacy: How to Get Involved Locally and Nationally

22:37 - Water Consumption: Why Do AI Data Centers Need Water?

23:50 - Cooling Systems, Closed-Loop Cycles, and Drinking Water Protection

27:05 - Water Usage Comparison: Data Centers vs. Golf Courses & Agriculture

28:33 - The Indirect Water Footprint of Electricity

30:07 - Local Watershed Realities vs. National Averages

31:54 - Corporate Stewardship: KnowBe4's Sustainability & Climate Goals

32:51 - Noise Pollution: Compliant Decibels vs. Livable Environments

35:35 - The Loudoun County Story: Data Centers & Lower Property Taxes

36:47 - Noise Complaints & Measuring Sound Percentages

39:06 - Weighing Both Sides: Fact-Based Advocacy

FEATURED QUOTES:
💬 “Not everything needs to be AI. If you have a simple question, like ‘What time is it?’ or ‘What are some restaurants near me?’, there are algorithmic services that have been built for that.” — Matt Duren
💬 “Even compared to household water usage, it's low. However, you can't replenish a watershed with a national average.” — Matt Duren
💬 “If you're out advocating for curtailing data center builds, but you get mad whenever you're only allowed to water your grass twice a week, I don't want to hear much from you.” — Harlan Parrott

RESOURCES & LINKS:

#DataCenters #AIPower #AttemptedIntelligence #KnowBe4 #AIInfrastructure #Sustainability #EnterpriseAI

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