Every day, recycling facilities process enormous quantities of plastic bottles, cardboard, aluminum cans, textiles and other discarded materials. Some have significant economic value, while others are contaminated, damaged or mixed with materials that make recovery difficult. Separating what can be reused from what cannot remains one of the most labor-intensive challenges in the waste industry.
The AI infrastructure discussion is typically framed around the cost of data centers, the power requirements, and the compute needed to train and run models, including GPUs and high-performance storage. That’s hardly surprising given the eye-watering investment numbers occupying the headlines.
