A UK-based startup is testing a different approach to extracting metals from electronic scrap, one that could influence how downstream recovery fits into the IT asset disposition and recycling chain.
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HP EliteBoard G1a lands at 6.5 out of 10 in our Circular IT rating, with sustainability as its strongest dimension at 7.5 out of 10. We score eight dimensions, from recycled content and repairability through lifecycle and total cost of ownership.
IBM announced that it plans to launch a standalone quantum chip foundry company with support from a proposed $1 billion CHIPS Act award. The announcement adds another signal that the United States is accelerating investment in advanced computing infrastructure.
A new class of data center infrastructure is beginning to emerge, one that prioritizes sealed environments, remote operation and proximity to energy generation rather than physical accessibility.
AI‑driven camera sorting is moving into practical plant‑floor tools for ITAD and electronics recyclers. Early systems like Apple’s A.R.I.S. show that low‑cost vision models running on commodity hardware can drive pneumatic sorters at line speed and deliver high‑purity metal and PCB streams, suggesting that facilities which start piloting these techniques now will gain a structural edge on recovery, cost, and specification compliance over the next three to five years.
Over 600 million wearables shipped last year, representing the equivalent of smartphone-scale volume. And unlike phones, these devices are about to hit the disposition intake streams in waves. Available data suggests that the timeline is tight.
Apple just shipped its most recyclable and most repairable laptop to date, and priced it at $599. In the context of sustainability, the MacBook Neo is Apple’s most significant hardware design departure in years, built with a higher proportion of recycled materials and a more serviceable internal architecture than any MacBook that came before it.
The Siemens-Meta industrial AI wearable project is a high-fidelity “Digital Assistant” framework designed to transition factory-floor tasks from manual, memory-based operations to hands-free, data-driven workflows. At its core, the product is an integration of Siemens Industrial AI and Meta Ray-Ban smart glasses, serving as a front-end interface for the Siemens Xcelerator digital twin ecosystem. For the ITAD and recycling sectors, this technology could target the specific bottlenecks of manual triage and complex de-manufacturing. As the electronics recovery industry moves toward “urban mining,” the ability to identify and safely extract high-value materials is the primary driver of profitability.
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Published research on the mega trends and factors affecting ITAD, sustainability and circular IT, from ESG, AI and IT decommissioning to plant technology and economics. To learn more and/or subscribe follow this link.
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