Does saying “please” to an AI use more electricity

تصویر مفهومی مصرف انرژی و تأثیر پرامپت‌های مودبانه در هوش مصنوعی
?Does Saying "Please" to AI Consume More Electricity The Truth Behind the Scenes

Does Saying "Please" to AI Consume More Electricity

Introduction

Recently, a humorous debate emerged online: does adding "please" when asking ChatGPT a question increase electricity consumption? Some users joked that AI might "feel extra polite energy" and consume more power. But what’s the reality behind this discussion?

What Happens When You Add "Please" in Prompts? +

Technically, adding "please" does not make the AI work harder. Each token in your prompt does require computation, but the difference between "Hello AI" and "Hello AI, please answer" is negligible — less than a fraction of a watt-second.

How AI Consumes Electricity +

AI energy consumption primarily comes from:

  • Data center servers processing billions of operations
  • Cooling systems keeping hardware at optimal temperature
  • Networking and storage infrastructure

Individual prompts contribute an almost imperceptible fraction of this total consumption.

Sam Altman's Perspective +

OpenAI’s CEO, Sam Altman, stated that politeness or token length in casual prompts does not significantly affect energy usage. The main energy drivers are large-scale model training and high-traffic inference.

AI Electricity Consumption Facts

A typical ChatGPT query consumes energy in the millijoule range. Even frequent users asking "please" in every query are far from noticeably increasing the electricity bill or carbon footprint.

Tips for Sustainable AI Usage 🌱

💡
Batch questions together to reduce total calls to the AI server.
Avoid excessively long prompts that don't add value.
🛠️
Use AI locally if possible, reducing cloud energy consumption.
♻️
Turn off idle AI sessions to save power.

Conclusion 🔌

While politeness in AI prompts is courteous and makes interactions pleasant, it does not materially increase electricity usage. The real environmental impact comes from large-scale model operations.
🌍
Focus on energy efficiency in AI infrastructure rather than worrying about token-level politeness.
📊
Optimize model training and inference for minimal energy usage.
🤖
Encourage developers to build lighter models for everyday queries.
💬
Keep prompts concise and clear to reduce redundant computation.
🌱

Politeness costs almost nothing, but a sustainable AI ecosystem benefits everyone.