lucadelladora – OpenAI chief executive Sam Altman has dismissed concerns that artificial intelligence is heavily draining water resources. He described many public claims about AI water usage as exaggerated or inaccurate.
Altman made the comments during a question-and-answer session hosted by The Indian Express. The discussion addressed growing debate about the environmental impact of artificial intelligence systems.
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Critics have raised concerns about the large amounts of electricity and water required to operate data centers. These facilities power the servers used to train and run AI models.
Some reports have suggested that frequent use of AI chatbots could consume significant water through data center cooling systems. Altman strongly rejected such claims during the event.
He said allegations that every ChatGPT request wastes gallons of water are incorrect. Altman described such statements as “completely untrue” and disconnected from reality.
The OpenAI chief acknowledged that earlier cooling systems used by the company required higher water consumption. However, he said those systems are no longer widely used.
Altman explained that concerns about environmental impact should focus on total energy consumption. He suggested that evaluating the energy cost per individual query is misleading.
He argued that many comparisons between AI and humans overlook the resources required to develop human intelligence. According to Altman, training a human mind requires many years of life and resources.
“People talk about how much energy it takes to train an AI model,” Altman said during the session. “But it also takes a lot of energy to train a human.”
He said humans require years of food, education, and social development before gaining advanced knowledge. Altman used this comparison to argue that AI efficiency should be measured differently.
Critics Question Altman’s Comparison Between AI and Humans
Altman’s remarks generated mixed reactions among technology experts and industry observers. Some attendees at the event responded with laughter and agreement during the discussion.
However, several critics argued that comparing AI training to human development is problematic. They said the analogy oversimplifies the complexity of human life and learning.
Sridhar Vembu, co-founder of Indian software company Zoho Corporation, attended the event. He later expressed concern about the comparison on social media.
“I do not want to see a world where we equate a piece of technology to a human being,” Vembu wrote in a public post.
Critics also argue that reducing human development to resource consumption raises ethical questions. They say such comparisons risk framing people as productivity units rather than individuals.
The debate comes as global investment in AI infrastructure continues to grow rapidly. Companies are building large data centers to support training and operation of advanced AI systems.
These facilities require significant electrical power to operate thousands of servers. Cooling systems used in data centers can also consume large volumes of water.
Communities near new data center developments have raised concerns about rising energy demand. Some regions have also reported worries about water scarcity and noise pollution.
Altman acknowledged that examining the environmental footprint of AI is a legitimate concern. However, he said the discussion should focus on total energy consumption rather than individual interactions.
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He also noted that the technology industry is moving toward cleaner energy sources. According to Altman, many data centers are shifting to nuclear, wind, and solar power.
The transition to alternative energy could reduce the environmental impact of AI infrastructure over time. Technology companies continue investing in new methods to improve efficiency.
As artificial intelligence adoption grows worldwide, debates about its environmental cost are likely to continue. Industry leaders, policymakers, and researchers are increasingly examining how to balance innovation with sustainability.
