How Much Energy Does One AI Prompt Use? What the Latest Research Really Shows

Artificial intelligence is increasingly being used across entertainment for script development, dialogue, research, production planning and creative ideas. A simple request may produce an answer within seconds, but the amount of electricity behind that response can vary considerably depending on what the system has been asked to do.

Research suggests that straightforward text prompts can use relatively small amounts of electricity under some modern conditions. More complicated requests, longer responses and advanced reasoning can require considerably more computing, making claims about the energy cost of “one AI prompt” difficult to reduce to a single number.

What exactly is an AI prompt?

A prompt is simply the question, instruction or information someone gives an artificial intelligence system. Asking for three alternative lines of dialogue, requesting a story synopsis or giving the system an entire script to analyse are all prompts, but they are very different computing tasks.

Once a trained AI model receives that request, it processes the information and generates a response. This stage is called inference, which simply means using an existing AI model rather than carrying out the much larger process of training it from scratch.

How much electricity can one prompt use?

Research published in 2025 by Oviedo and colleagues examined the electricity needed to run very large language models. Under one of the model configurations studied, the researchers estimated around 0.34 watt hours of electricity for a typical query.

A watt hour, shortened to Wh, measures a relatively small amount of electricity. To put 0.34 Wh into perspective, it is roughly enough electricity to power a 10 watt light emitting diode, commonly known as an LED bulb, for about two minutes.

Those figures apply to the particular models, hardware and conditions examined in the research. They should not be treated as a universal measurement for every AI prompt on every service.

The same study estimated around 4.32 Wh for substantially more demanding tasks under the conditions it examined. That would power the same 10 watt LED bulb for roughly 26 minutes, showing how quickly electricity use can increase when a system has considerably more work to do.

Why can two prompts use very different amounts of energy?

The amount of information an AI system has to process matters, as does the amount of information it produces. A short question followed by a brief answer generally represents a different workload from analysing a lengthy document and generating several pages of detailed reasoning.

The model itself also matters. Different AI systems use different designs and can run on different computer hardware, meaning two services carrying out apparently similar tasks may not use exactly the same amount of electricity.

Research comparing tens of thousands of AI inference tests across many models has found substantial differences in energy consumption between systems and hardware configurations. This is why a single figure labelled “the energy cost of an AI prompt” can easily become misleading.

What does this mean in entertainment?

The difference becomes easier to understand when looking at real creative work. A writer asking an AI system for three alternative lines of dialogue is carrying out a much lighter task than a production team uploading a full script and requesting a detailed breakdown of every character, location and scene.

The same production might also use hundreds of prompts during development as ideas are tested, rejected and revised. Even if each individual text request uses relatively little electricity, the overall demand grows when AI becomes part of everyday workflows across thousands of productions and creators.

Research published in June 2025 by the British Film Institute, known as the BFI, and CoSTAR found that generative AI was already being explored across areas including development, production and post production. Its environmental impact therefore depends partly on which AI tools become widely used and how frequently they are used.

Is an AI prompt much worse than a normal internet search?

For simple text tasks, the gap is becoming smaller as AI systems become more efficient. The International Energy Agency, known as the IEA, reported in April 2026 that energy use per individual AI task has fallen rapidly as computer hardware and software have improved.

The IEA estimated that replacing every conventional internet search worldwide with a simple AI text query would use less than four terawatt hours of electricity a year. A terawatt hour, shortened to TWh, equals one billion kilowatt hours, and the IEA says that hypothetical total would amount to less than 1% of current global data centre electricity consumption.

That comparison applies to simple text queries rather than every possible AI task. Advanced reasoning, image generation and especially video can require far more computing than a straightforward text response.

Does that mean text prompts barely matter?

At an individual level, a simple modern text prompt can represent a relatively small amount of electricity. The wider environmental question comes from scale, because small amounts multiplied across millions or billions of requests can still become significant.

There is also a major difference between using AI occasionally and building it into everyday business or entertainment workflows. Improving efficiency therefore matters, but so does how frequently systems are used and whether people generate far more content simply because doing so has become easier.

So how much energy does one AI prompt really use?

There is no single answer that applies to every artificial intelligence system. Modern research suggests that simple text requests can use a fraction of one watt hour under some conditions, while larger models, longer outputs and more demanding reasoning can raise that figure considerably.

For entertainment, that context matters more than attaching one dramatic number to every prompt. AI can provide useful creative and production tools, but understanding how the model, task and scale of use affect electricity demand gives creators and audiences a much clearer picture of its environmental impact.

For more on how artificial intelligence is changing film, television, music and digital storytelling, explore SoapLandTV’s AI & Entertainment page.

Sources: - International Energy Agency research from April 2026, energy measurements published by Oviedo and colleagues in 2025, inference testing by Caravaca and colleagues, and British Film Institute and CoSTAR research from June 2025.