As the UK ETS expands to include EfW facilities, Local Authorities face significant new carbon-related costs, projected to exceed £600M. With CCS proving slow, capital-intensive, and reliant on government intervention, the industry starts to explore how advances in AI-driven mixed-waste sorting offer an immediate, lower-cost, and lower-risk alternative for reducing fossil-based emissions at source. Modern automation can help councils cut future ETS liabilities, unlock material value, and strengthen their net-zero strategy as the 2028 deadline approaches.

This webinar will explain how advanced mechanical and AI-driven waste sorting can provide a cost-effective route to ETS compliance. By removing fossil-based materials upstream of EfW, advanced sorting delivers immediate carbon reductions, lowers future ETS exposure, and strengthens overall system resilience using proven technology available today.

We will also examine how AI-driven compositional data strengthens MRV compliance, improves governance, and gives councils clearer visibility over carbon drivers in the residual waste stream. Attendees will learn how advanced sorting delivers a win-win outcome: immediate ETS risk reduction, improved recycling performance, lower residual tonnage, and alignment with national environmental targets, regardless of how ETS policy evolves.

Details About the Webinar

Tuesday, March 31, 2026 · 11:00 a.m. London (GMT +1:00)
Cost: Free
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About the Speaker

1772211614-e42a8cc40b9df1fa Niall Bolster
Manager, Commercial Origination & Business Development - Europe, AMP

With more than 15 years in Sales & Business Development in Machine Vision, AI coupled with 15 years Engineering experience in the Automotive industry, Niall Bolster has a deep understanding of computer vision and the challenges of running a successful business. With a background in Mechanical Engineering, he worked all over Europe, from Ireland, UK , Germany and France. He is now focused on AI-powered sortation at scale that increases productivity, overcome labor challenges, maximize purity rates, and generate more revenue for their recycling businesses.

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