How Token Terminators Made AI Greener with Smarter Prompts

Ever wondered how much energy it takes to generate an AI response? At the BCG Platinion Hackathon 2024, Team Token Terminators explored that question and created a solution that could make AI usage more sustainable.
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Video
August 6, 2025

The team discovered that large language models like ChatGPT consume nearly ten times more energy than traditional search engines. With AI becoming a part of everyday life, they saw a clear opportunity to reduce its environmental impact by focusing on one of the most basic interactions: the prompt.

To address this, they developed a full-stack application that intelligently compresses user input before it reaches the model. The backend identifies and retains only the essential elements of the message, while the front end allows users to test the results in real time. This streamlined process reduces energy usage, improves performance, and lowers operational costs — all without compromising the quality of the output.

The solution impressed the judges and secured the team a well-earned win.

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As we look ahead to the BCG Platinion Hackathon 2025, we’re excited to see what bold ideas this year’s participants will bring. The theme, Future of Education & Learning, invites teams to explore how technology can reshape the way we teach, learn, and grow.

Applications are now open. Apply here.

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Phil Gerrard

Manager Director
London, United Kingdom

Tom is an Engineering Lead based in the London office. He has vast experience delivering products and services with a human centered approach – including artificial intelligence solutions at scale and new startup ventures across a wide range of industries. Covering topics ranging from privacy enhancing AI to digital consortium design, he brings expertise in open innovation’s evolving role in solving high impact issues such as climate action, healthcare and online privacy.

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