"US private AI investment reached $285.9 billion in 2025, according to Stanford HAI's 2026 Artificial Intelligence Index Report. That money has economic benefits but also adds stress to environmental resources, utilities, and communities."
"AI data center power capacity rose to 29.6 GW, comparable to New York state at peak demand, and annual GPT-4o inference water use alone may exceed the drinking water needs of 12 million people."
"The price of tokens has been much on the mind of developers using AI subscription plans because plan providers like Anthropic and GitHub have been pushing customers away from token-subsidized subscriptions toward pay-as-you-go consumption."
"The answer is about $0.0038 per million tokens - in a very specific context. That's the base cost for inference on an Nvidia H100 GPU, rented at a cost of $2.50/hour and generating 185 tokens/second at 100 percent utilization."
US private AI investment reached $285.9 billion in 2025, with economic benefits but environmental costs. AI data center power capacity rose to 29.6 GW, and GPT-4o inference water use may exceed the needs of 12 million people. Overreliance on AI can lead to skill atrophy. The cost of AI tokens is a concern for developers, with a base cost of $0.0038 per million tokens based on specific GPU utilization. However, actual utilization rates are often lower than 100 percent.
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