AI models require massive computational resources, contributing significantly to energy consumption and environmental impact.

Environmental Impact

  • High energy consumption for training
  • Continuous server infrastructure needs
  • Carbon emissions from data centers
  • Electronic waste from hardware upgrades

The Numbers

  • GPT-3 training: 1,287 MWh of energy
  • Daily ChatGPT usage: ~500,000 kWh
  • Carbon footprint: Equivalent to 300+ cars annually
// Every AI query has environmental cost:
const aiResponse = await openai.complete({
  prompt: "Generate a simple function",
  // This single request uses energy equivalent to:
  // - Charging a smartphone 120 times
  // - Running a laptop for 3 hours
  // - Powering LED bulb for 2 days
});

Consider the environmental impact of AI usage in development workflows.