Stop Using AI for Simple Math: 10x Energy Cost Drives Push for Greener Models

The seamless integration of generative AI into search bars and productivity suites comes with an invisible cost: each query can burn ten times the energy of a traditional web search. For AI engineers, product managers, and decision‑makers, this resource intensity challenges the ‘AI everywhere’ mantra and raises urgent questions about efficiency, transparency, and the ethics of auto‑enabling power‑hungry features.

The rapid proliferation of artificial intelligence is increasingly at odds with global climate and water conservation efforts, as energy-hungry AI queries and the data centers that power them consume vast, often undisclosed, amounts of electricity and water. This tension was highlighted on June 24, 2026, in an Associated Press report that drew on environmental and computer science experts who warn that every AI-assisted search or task adds to a digital carbon footprint that is moving "in the opposite direction to decarbonization efforts."

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Data centers supporting these models are also major water consumers; a single facility can guzzle millions of gallons per day for cooling.

AI models, particularly large language models like ChatGPT, require immense computational resources. A single generative AI query can use up to 10 times the energy of a standard web search, according to experts cited in the report. Data centers supporting these models are also major water consumers; a single facility can guzzle millions of gallons per day for cooling. Yet, AI companies remain largely opaque about their resource consumption, making it difficult for policymakers and the public to gauge the full environmental toll.

Cognitive computer scientist Sasha Luccioni, co-founder of the Sustainable AI Group, calls out a "bait-and-switch" tactic by Big Tech: embedding generative AI into tools users have long relied on—search engines, office suites, and communication platforms—thereby normalising energy-intensive AI as the default. This integration erodes consumer choice and obscures the hidden environmental cost of features that once had minimal impact. "You use the same tools that you used to use, but now they’re generative AI," Luccioni noted, emphasizing that users are not obliged to rely on AI for simple calculations or product searches.

Kaveh Madani, a water scientist and director of the United Nations University Institute for Water, Environment and Health, was even more blunt: "The cleanest form of AI use is no use," he said, advising against turning to AI for everyday inquiries like store hours or directions. The experts collectively urge a shift in daily digital habits—using AI only when absolutely necessary and opting for traditional, less resource-intensive alternatives for trivial tasks.