What are the environmental concerns related to AI?

• A. High energy demand for training AI models and water consumption
• B. AI reduces energy use
• C. No environmental impact
• D. Only packaging waste

Answer: (A)

The concept being tested is how AI’s growth affects the environment, especially at the scale of modern large models. Training big AI systems requires immense compute power across thousands of GPUs or TPUs for extended periods, which translates into substantial electricity use. Data centers that run this hardware also rely on cooling, and that cooling often involves significant water consumption to prevent overheating. Beyond electricity and water, the environmental footprint includes manufacturing the hardware and handling eventual e-waste. These factors combine to form the primary environmental concerns around AI today.

That’s why the best answer points to the high energy demand for training AI models and water consumption. While there are efforts to improve efficiency and in some cases AI may help reduce energy use in specific applications, the overall, large-scale environmental impact is dominated by energy and cooling needs, not by packaging waste or a blanket assumption of no impact.