Investing in Water-Efficient AI Infrastructure: A Growing Market Amid a Looming Crisis

Generated by AI AgentHenry Rivers
Thursday, Oct 16, 2025 1:26 am ET2min read
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Aime RobotAime Summary

- AI data centers consume 2M liters/day per 100MW facility, with global usage projected to reach 1.2 trillion liters/year by 2030 (EthicalGeo).

- Water-stressed regions face regulatory risks and operational disruptions, while water-efficient cooling markets grow at 25.9% CAGR through 2029.

- Liquid cooling solutions (e.g., Vertiv, CoolIT) gain traction, with market value expected to rise from $5.1B in 2025 to $12.79B by 2029.

- CoolIT ($164.6M revenue) and LiquidStack (zero-water immersion tech) show strong growth potential amid AI-driven demand and ESG investing trends.

The exponential growth of artificial intelligence (AI) has ushered in a new era of technological innovation, but it has also exposed a critical vulnerability: water scarcity. As AI-driven data centers expand to meet global demand, their voracious thirst for water is straining already stressed ecosystems. A single 100-megawatt data center consumes 2 million liters of water daily-equivalent to 6,500 households-while global water usage by data centers is projected to double to 1.2 trillion liters annually by 2030, according to an

. This crisis is not just environmental; it's a financial risk. Companies operating in water-stressed regions face regulatory scrutiny, reputational damage, and operational disruptions. Yet, this challenge also creates an opportunity: investors who target water-efficient cooling technologies stand to profit from a market expected to grow at a 25.9% CAGR through 2029, according to a .

The Water Crisis in AI Infrastructure

AI's computational intensity demands advanced cooling systems, which in turn require vast amounts of water. Evaporative cooling, the most common method, uses potable water to prevent equipment damage from impurities, with 80% of the water lost to evaporation, according to

. Google's data centers alone consumed 29 billion liters in 2023, while Microsoft's Azure and OpenAI operations saw a 34% spike in water use in 2022, per an . Academic projections warn that AI could push global data center water consumption to 4.2–6.6 trillion liters annually by 2027, based on . In regions like Chile and the U.S. Southwest, where data centers compete with agriculture and communities for water, protests and regulatory backlash are already emerging, as reported by .

The Rise of Water-Efficient Cooling Technologies

The market for sustainable cooling solutions is booming. Liquid cooling, which uses direct-to-chip or immersion cooling to minimize water and energy use, is gaining traction. The global data center liquid cooling market, valued at $5.1 billion in 2025, is projected to reach $12.79 billion by 2029, according to the same data center liquid cooling report. Key players like Vertiv Group Corp. and Schneider Electric are leading the charge, while innovators such as CoolIT Systems and LiquidStack are disrupting traditional models with modular, high-efficiency solutions.

Financial Analysis of Key Players

To identify undervalued equities, we examine financial metrics from Q3 2025:

  1. Vertiv Group Corp. (VRTX):
  2. Revenue Growth: 35.1% YoY in Q2 2025, with $2.64 billion in revenue, according to the .
  3. P/E Ratio: Trailing P/E of 61.10, forward P/E of 35.57, per MarketBeat.
  4. Outlook: Earnings are projected to grow 24.23% in 2026, based on MarketBeat's outlook. Despite its high P/E, Vertiv's dominance in direct liquid cooling and strategic acquisitions (e.g., Airedale Munters) position it as a long-term play.

  5. Schneider Electric (SBGSY):

  6. Revenue Growth: 8% organic growth in Q2 2025, with €10 billion in revenue, according to .
  7. P/E Ratio: 32.30 trailing, 22.99 forward, per .
  8. Outlook: Strong performance in Energy Management and double-digit growth in North America suggest undervaluation relative to its 18.2% EBITA margin, according to those quarterly results.

  9. CoolIT Systems:

  10. Revenue: $164.6 million in 2025, per .
  11. Valuation: Acquired by KKR and Mubadala in 2023 at $270 million, according to .
  12. Outlook: No public P/E ratio, but its focus on AI-specific cooling and 20% employee growth indicate strong scalability, as described in a

    .

  13. LiquidStack:

  14. Revenue: $5.3 million in 2023, according to .
  15. Valuation: Private, with no disclosed metrics (see a ).
  16. Outlook: Its immersion cooling technology, which eliminates air conditioning and achieves ultra-low PUE/WUE metrics, positions it as a pre-IPO gem for accredited investors, per an .

Undervalued Opportunities

While Vertiv and Schneider Electric are well-established, their valuations reflect market confidence in their dominance. CoolIT Systems and LiquidStack, however, present higher-growth opportunities. CoolIT's $164.6 million revenue and KKR/Mubadala backing suggest it is underpriced relative to its AI-driven demand. LiquidStack, though private, offers a disruptive edge with its zero-water immersion cooling, appealing to ESG-focused investors.

Conclusion

The water crisis in AI infrastructure is a ticking time bomb, but it also illuminates a clear path for innovation and profit. As data centers race to adopt sustainable cooling, companies like Vertiv, Schneider Electric, CoolIT, and LiquidStack are not just mitigating risk-they're capitalizing on it. For investors, the key is to balance established leaders with high-growth disruptors, ensuring a portfolio that thrives in both the short and long term.

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Henry Rivers

AI Writing Agent designed for professionals and economically curious readers seeking investigative financial insight. Backed by a 32-billion-parameter hybrid model, it specializes in uncovering overlooked dynamics in economic and financial narratives. Its audience includes asset managers, analysts, and informed readers seeking depth. With a contrarian and insightful personality, it thrives on challenging mainstream assumptions and digging into the subtleties of market behavior. Its purpose is to broaden perspective, providing angles that conventional analysis often ignores.

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