MarketMoodz
Altman Defends AI Resource Use, Dismisses Water Concerns as Fake
OpenAI CEO Sam Altman defended AI resource usage at the India AI Impact Summit in New Delhi on Feb. 19, 2026, calling water-use claims 'completely untrue, totally insane.' He argued that while total AI energy consumption is rising, the path forward is cleaner power sources such as nuclear, wind, and solar. He also noted that water cooling is not the core issue—new centers can avoid water, but many still rely on cooling water.
Key Takeaways
- Altman called claims that ChatGPT uses gallons of water per query 'completely untrue, totally insane.'
- He acknowledged rising AI energy use but urged power from cleaner sources like nuclear, wind, and solar.
- Water cooling is not the core issue; some centers avoid water, but many still rely on cooling water.
- Xylem and Global Water Intelligence project water cooling draw could triple over the next 25 years as compute demand grows.
- Regulatory pushback on data-center projects persists, including a $1.5 billion San Marcos, Texas data center rejection.
People Involved
- Sam AltmanOpenAI CEO
- Sridhar VembuZoho Corporation CEO
- Bill GatesMicrosoft Co-founder
Entities Involved
- OpenAI Inc.AI research and deployment company
- Zoho CorporationSoftware company
- IMF - International Monetary FundGlobal financial institution referenced in energy data
- XylemWater technology company
- Global Water IntelligenceWater industry market intelligence firm
- San Marcos City CouncilLocal government body referenced for data-center decision
- India AI Impact SummitEvent organizer in New Delhi
MarketMoodz Analysis
The remarks frame AI infrastructure as a battlespace over energy and water resources, with Altman leaning on cleaner power sources to support expansion. For investors, this signals continued capex appetites for data-center builds but with a clear tilt toward renewables and nuclear partnerships to mitigate grid and water-use risk.
Historically, data centers have traded cooling complexity for efficiency gains, and regulatory scrutiny has risen as siting and water impacts become focal points. The IMF data point on 2023 electricity use by data centers—paralleled by the Germany-France benchmark in some reports—highlights a global energy-supply challenge that could shape procurement strategies and long-cycle investments in AI infrastructure.
Watch for further data center siting decisions, regulator actions, and updates from major AI and cloud players on energy sourcing commitments, as these will affect timing and economics of AI deployments and related capex.
Source: Original Article