Artificial Intelligence (AI) has become the buzzword of the decade, promising innovation, efficiency, and economic growth. From healthcare diagnostics to financial forecasting, AI is reshaping industries at lightning speed. Yet, behind this dazzling promise lies a darker reality that experts are increasingly warning about: AI data centres may be silently draining water resources, damaging the environment, and threatening millions of jobs worldwide. In India, these concerns are no longer abstract. A recent three-day “soil and water satyagraha” held in Tumakuru, Karnataka, brought together farmers, activists, and researchers who voiced strong opposition to the unchecked expansion of AI infrastructure. Their message was clear: while AI may be the future, its infrastructure could spell disaster for communities already struggling with water scarcity and unemployment.
AI data centres are the backbone of modern artificial intelligence. They house thousands of servers that process enormous volumes of data, enabling everything from chatbots to autonomous vehicles. These centres are not just ordinary server farms; they are resource-hungry giants that demand vast amounts of electricity and water to function. Unlike traditional IT infrastructure, AI workloads are computationally intensive. Training large language models or running advanced simulations requires immense processing power, which in turn generates enormous heat. To prevent overheating, data centres rely on cooling systems that consume staggering amounts of water. Experts warn that a single large AI data centre can consume in one day the amount of water a village uses in an entire year. This chilling statistic underscores the scale of the problem. In countries like India, where water scarcity is already a pressing issue, such consumption patterns could prove catastrophic. India is no stranger to water crises. Groundwater depletion, erratic monsoons, and rising demand have left many regions parched. The addition of AI data centres into this fragile ecosystem could tip the balance further. Farmers at the Tumakuru event highlighted how fertile agricultural land is being acquired for AI townships. This not only displaces farming communities but also diverts water resources away from agriculture. The result: barren fields, declining crop yields, and disrupted ecological cycles. American researcher Raymol explained that machines operate at speeds far greater than humans, generating heat that requires massive cooling. “AI data centres require vast quantities of water for cooling. Based on such findings, some cities in the United States have restricted the uncontrolled expansion of data centres,” he noted. If advanced economies are already imposing restrictions, the question arises: why is India rushing headlong into this expansion without adequate safeguards? The environmental impact goes beyond water. Increased industrial activity around data centres leads to higher energy consumption, mounting electronic waste, and pollution of soil, water, and air. The ecological footprint of AI infrastructure is far larger than most people realize.
While environmental concerns dominate headlines, the employment crisis triggered by AI is equally alarming. Automation has already displaced thousands of jobs in sectors like manufacturing, customer service, and logistics. Experts predict that by 2050, nearly 75% of people could lose employment due to automation, with the figure rising to 95% by 2070 if current trends continue. This raises fundamental questions about the sustainability of a technology-driven world where machines increasingly replace humans. Farmer leaders at the Tumakuru event argued that AI data centres would bring more harm than benefits, stripping communities of both land and livelihoods. Resource person Devajain emphasized that technological advancements are removing barriers to extracting greater amounts of energy from nature to power machines. While this may sound like progress, it comes at the cost of human employment. “The future we are heading towards is one where machines dominate, and humans struggle to find meaningful work,” he warned. Farmers are among the most vulnerable groups in this unfolding crisis. The acquisition of fertile agricultural land for AI townships directly impacts their livelihoods. Water diversion for cooling systems further exacerbates the problem, leaving fields barren and communities impoverished. MLA Darshan Puttannaiah, speaking at the Tumakuru event, urged people to strongly oppose AI data centres that could damage the environment. “Farmers will lose their land and eventually become unemployed. Keeping these consequences in mind, we must continue our struggle,” he said. The sentiment was echoed by Gandhi Sahaja Besaya Ashram head Manjunath, farmer leader Badagalapura Nagendra, and Mahima J Patel, who all called for a united movement to protect land and water resources from unsustainable industrial expansion.
Global Lessons: Restrictions Abroad
The concerns raised in India are not isolated. Globally, several cities and countries have begun imposing restrictions on data centre expansion due to environmental concerns. In the United States, for example, some cities have limited the growth of data centres after realizing the massive water consumption involved. This global pushback highlights the need for India to adopt a cautious approach. Blindly embracing AI infrastructure without considering its ecological and social impact could lead to irreversible damage. Policymakers must balance technological progress with sustainability, ensuring that innovation does not come at the cost of human survival. AI is often portrayed as a miracle technology capable of solving humanity’s biggest challenges. From predicting climate patterns to diagnosing diseases, its potential is undeniable. However, the infrastructure required to support AI is proving to be a double-edged sword. On one hand, AI promises efficiency and growth. On the other, its data centres threaten to deplete water resources, pollute the environment, and displace millions of workers. The irony is stark: a technology designed to improve human life may end up undermining it. This paradox raises critical questions about the direction of technological progress. Should innovation be pursued at any cost? Or should humanity pause to consider the long-term consequences of its choices?
The Call for Sustainable AI
Experts and activists are increasingly urging a shift toward a more sustainable approach to AI infrastructure, warning that unchecked expansion could have devastating consequences. They emphasize the need to regulate water usage by data centres to safeguard local resources, while also investing in renewable energy to reduce carbon emissions and ease the strain on traditional power grids. Another critical demand is the protection of agricultural land from being acquired for industrial purposes, ensuring that farming communities are not displaced in the name of technological progress. At the same time, policymakers are being called upon to create balanced strategies that allow for technological growth without sacrificing employment opportunities. Finally, researchers are encouraged to explore alternative cooling technologies that minimize water consumption, offering a path toward innovation that does not compromise the environment or livelihoods.
Without such measures, the unchecked expansion of AI data centres could lead to a future where technology thrives but humanity suffers. The debate around AI data centres is not just about technology; it is about survival. Water, environment, and jobs are the pillars of human existence. If these are compromised, no amount of technological progress can compensate. India stands at a crossroads. It can either embrace AI blindly, risking ecological collapse and mass unemployment, or it can adopt a balanced approach that prioritizes sustainability and human welfare. The choice will determine not just the future of technology, but the future of humanity itself. As the voices from Tumakuru remind us, progress must never come at the cost of people and the planet. The time to act is now, before the promise of AI turns into a peril too great to bear.
