The catastrophic August 26 Bhotekoshi flash floods in Nepal have triggered a fierce debate about artificial intelligence's hidden environmental toll, with experts and activists questioning whether the world's rush to build AI infrastructure is accelerating climate disasters in vulnerable mountain regions. While scientists caution against directly linking the floods to AI data centers, the incident has exposed a troubling reality: the computing power behind modern AI systems demands enormous amounts of electricity and fresh water, creating ecological pressures that ripple across the globe.

What Is the Real Environmental Cost of AI Data Centers?

The infrastructure required to power AI systems operates largely out of public view. Data centers run continuously, consuming staggering amounts of energy and water to keep servers cool. A single facility can use as much electricity as an entire city, according to industry experts. The environmental impact extends far beyond energy bills; these massive installations create what researchers call "heat islands" that raise surrounding temperatures significantly.

A study by researchers at the University of Cambridge found that data centers increase surrounding land surface temperatures by an average of 3.6 degrees Fahrenheit, with peak localized increases reaching up to 16.4 degrees Fahrenheit, affecting more than 340 million people globally. The scale of this problem is projected to grow dramatically. A June 2026 report from the United Nations University revealed that global energy consumption by AI and data centers could reach 945 terawatt-hours by 2030, while water consumption tied to AI infrastructure could equal the basic domestic needs of 1.3 billion people by the end of the decade.

"A single data centre can consume as much electricity as an entire city. It requires huge volumes of water and energy just to keep its systems cool. The heat exhausted by these facilities and their cooling systems can raise ambient temperatures within a ten-kilometre radius by 2 to 8 degrees Celsius. This has a direct negative impact on the local environment," said Richan Shrestha, chief executive of QuickFox Technologies, a software and AI development firm.

Richan Shrestha, Chief Executive at QuickFox Technologies

To put this in perspective, the physical footprint of data centers is expected to expand to 14,500 square kilometers by 2030, roughly double the area of Jakarta, Indonesia, a city home to over 32 million people.

How Can Nations Address AI's Environmental Impact While Building Climate Solutions?

• Conduct Environmental Impact Assessments: Before approving new data center construction, governments must require thorough environmental reviews to understand local water availability, cooling capacity, and potential effects on glaciers and mountain ecosystems.
• Deploy AI for Disaster Preparedness: Rather than viewing AI solely as a climate problem, experts recommend using AI technologies like GPS and drone-level monitoring to strengthen alerting and early warning systems during natural disasters.
• Invest in Green Technology Innovation: Support venture capital funds focused on sustainable AI solutions and green infrastructure, ensuring that technological advancement serves climate resilience rather than undermining it.

The debate in Nepal reflects a broader tension: while AI can help predict and manage climate disasters, the energy demands of building and running these systems may be accelerating the very environmental degradation they aim to solve. Development expert Ashutosh Tiwari has criticized the current approach to AI in Nepal, arguing that the technology remains largely absent from disaster response efforts.

"Whether it is agentic AI or any other form, if technology is truly useful, now is the appropriate time to deploy it on the ground for real-time data analysis and rescue operations," said Ashutosh Tiwari, development expert.

Ashutosh Tiwari, Development Expert

Tiwari noted that Nepali AI discourse often remains confined to academic seminars on topics such as "AI and Agriculture," "AI and Transportation," or "AI and Child Care" rather than building actionable crisis tools for emergencies.

Are Rumors About AI Data Centers Causing the Nepal Floods Credible?

Social media has circulated unsubstantiated claims that China built an underground AI server farm beneath a glacier, and that heat from the facility melted the ice and triggered the Bhotekoshi floods. Experts have firmly rejected these rumors as baseless. Journalist Karin Kloosterman, writing in Green Prophet, acknowledged that while data center energy consumption and greenhouse gas emissions do contribute to global warming, the specific claims about Chinese data centers causing this particular flood are "purely rumours".

However, the underlying concern is legitimate. The International Centre for Integrated Mountain Development (ICIMOD) warned that cryosphere-related risks in the Himalayas are rising sharply, with the pace of change far outstripping mitigation efforts. Nepal's Foreign Minister Shisir Khanal framed the disaster as a matter of global climate justice, noting that Nepal contributes virtually zero greenhouse gas emissions yet bears a devastating price through mountain degradation and citizen casualties.

What Is the Global Investment Response to Green AI Innovation?

Despite these concerns, international development institutions are doubling down on AI innovation with environmental safeguards. The Asian Infrastructure Investment Bank (AIIB) announced a USD5 million equity investment in Glory Ventures Investments Fund III to support early-stage companies developing technologies for green and technology-enabled infrastructure across emerging Asia. The fund targets startups working on deep technologies and artificial intelligence solutions, with a focus on digital infrastructure, sustainable energy and climate solutions, and smart transport and mobility.

Glory Ventures, a Shanghai-based venture capital firm managing the fund, has invested in more than 120 startups since its founding in 2015, with over 40 becoming leaders in their respective industries. One portfolio company, LEAPTING, has deployed Automatic Navigation PV Module Mounting Robots in India, Saudi Arabia, the United Arab Emirates, Australia, Azerbaijan, and other markets, demonstrating how technology developed in Asia can support infrastructure development globally.

"Venture capital plays an important role in scaling technologies that address infrastructure and climate challenges. AIIB is pleased to partner with Glory Ventures to expand financing for innovative entrepreneurs and strengthen the pipeline of technology solutions that support sustainable development across emerging Asia," said Kim-See Lim, Chief Investment Officer at AIIB.

Kim-See Lim, Chief Investment Officer, Public Sector (Region 1) and Financial Institutions and Funds (Global) Clients at AIIB

The investment reflects a broader recognition that AI and deep technology can serve climate adaptation, but only if developed with environmental accountability. As Nepal grapples with the aftermath of the Bhotekoshi floods, the nation faces a critical choice: whether to embrace AI infrastructure as a tool for disaster resilience or to demand that global technology leaders first address the environmental cost of their systems. The answer will likely shape how emerging economies approach the AI revolution in the years ahead.