Operations Manager

WM CEO Jim Fish to retire, John Morris named successor. WM's revenue nearly doubled during Jim Fish's leadership. John Morris, currently WM president, will add the CEO title and join the board of directors effective Jan. 4, 2027. Published August 26, 2026 Jim Fish, WM CEO and member of the board of directors, will retire from the Houston-based firm and resign from the board after spending nearly a decade in his current roles and more than 25 years with the company. John Morris, currently WM president, will add the CEO title and join the board of directors effective Jan. 4, 2027. "John is an exceptional leader with a proven track record of delivering results and advancing WM's strategy. Over three decades of industry experience have given him a deep understanding of our business, culture and opportunities," WM Chair Kathleen Mazzarella says. "He's overseen innovative service delivery to enhance customer experience while reducing operating expenses. All of this was accomplished while improving employee satisfaction, safety and retention." Morris brings more than 30 years of industry experience, including more than two decades with WM. He's held a series of leadership roles throughout his career and has played a key role in advancing WM's long-term growth since being appointed president in 2025. During his tenure as president, Morris oversaw all field operations and led the company's efforts to integrate technology and automation across the business. However, earlier in the year WM named Tara Hemmer chief operating officer. In her expanded role, she assumed responsibility for the company's operating platform and will continue to lead the sustainability businesses. "It is an honor to step into the role of CEO and lead a company that plays such an essential role in the daily lives of the communities we serve," Morris says. "For decades, WM has been built on a strong foundation of safety, service and operational excellence. I am committed to building on that legacy while strengthening our position for innovation and continued long-term growth." Fish joined WM in 2001 and has held several key positions within the company during his tenure. Prior to joining WM, Fish held finance and revenue management positions at Westex, Trans World Airlines and America West Airlines. He served as chief financial officer from 2012-16, was named president in July 2016 and then CEO in November of that year. "I also want to thank Jim for his outstanding leadership as CEO since 2016," Mazzarella says. "Under his guidance, WM has achieved unprecedented growth, strengthened its culture and positioned the company for long-term success. Jim's philosophy on stakeholder priorities is simple: Jim always puts people first, knowing that they, in turn, will take care of the customer and the business. As a result, Jim's legacy includes making WM a great place to work. His vision and commitment to excellence have left a lasting impact on WM and all our stakeholders, and he will be missed." Under Fish's leadership, WM's revenue has nearly doubled to $25.2 billion in 2025. The company has invested heavily in its recycling capabilities, pledging to deploy $1.6 billion through the end of 2026 to modernize its infrastructure across North America. Recently, WM opened a $110 million recycling and hauling site in Colorado, a recycling facility in Ontario, a $60 million recycling facility in Indianapolis and $20 million to upgrade its recycling facility in Southern California. Sponsored Content Optimal productivity, heavy construction, safety features and operator comfort come together in the SENNEBOGEN 360 G-series telescopic wheel loader, designed for work across the waste and recycling industry. Telescopic wheel loaders manufactured by SENNEBOGEN have a growing presence at transfer stations, material recovery facilities (MRFs), construction and demolition (C&D) recycling plants and metal recycling facilities across North America. He's also helped WM expand significantly through acquisitions, including a $7.2 billion deal to acquire Stericycle in 2024 and a $4.6 billion deal to acquire Advanced Disposal in 2020. "I'm grateful for the opportunity to have served as WM's CEO over the past decade and proud of all our team has accomplished together," Fish says. "John is an authentic and remarkable leader whose industry expertise and proven track record of delivering results make him the ideal choice to lead WM into the future. Throughout his career, he has been a champion for our people, safety, innovation and operational excellence. I have every confidence that WM's success will continue and grow with John at the helm." Get curated news on YOUR industry. Enter your email to receive its newsletters.

AI disrupts the Optical Sorter market as billion-dollar investment wave targets recycling precision, mining efficiency, and circular economy compliance. "AI-powered optical sorting systems are reaching up to 99% accuracy as hyperspectral imaging, deep learning and tightening circular-economy mandates accelerate adoption across recycling, mining and food processing." Boston, Aug. 25, 2026 (GLOBE NEWSWIRE) - Artificial intelligence is fundamentally reshaping the global optical sorter market, transforming legacy rule-based sorting systems into adaptive, high-throughput platforms capable of near-perfect material identification across recycling, food processing, mining, and construction sectors. BCC Research's newly published AI Impact on Optical Sorter Global Market - BCC Pulse Report examines the strategic forces, emerging technologies, investment activity, and competitive dynamics driving this transformation worldwide. Key Findings - Investment is accelerating rapidly. Waste Management Inc. committed $90 million to a single AI-powered recycling facility in Pembroke Pines, Florida - capable of processing approximately 275,000 tons of material annually - as part of a broader $1.4 billion capital deployment across 39 new and upgraded recycling facilities in North America through 2026. This signals a decisive shift in industrial-scale recycling infrastructure strategy. - Europe is the regulatory frontrunner. Stringent EU recycling mandates and circular economy policy frameworks are driving widespread deployment of AI-enabled optical sorters for polymer, metal, and paper separation, establishing the region as a primary adoption engine and de facto global benchmark for compliance-driven investment. - Asia-Pacific is the fastest-emerging demand center. Rapid industrialization and escalating waste management pressures are accelerating investment in AI-integrated optical sorting technologies across the region. DataBeyond Technology's January 2025 launch of China's first AI-powered hyperspectral optical sorter for mixed textiles - achieving up to 99% sorting accuracy - illustrates the pace of domestic innovation. - Deep learning and hyperspectral imaging are redefining sorting precision. Convolutional neural networks enabling automatic threshold adjustments, AI-powered hyperspectral systems capturing 256 spectral bands, and AI-driven XRT ore sorting using machine learning for potash preconcentration represent a generational leap beyond fixed RGB-threshold systems, addressing longstanding limitations in e-waste, textile, and mineral processing applications. - Collaborative ecosystems are compressing the technology adoption curve. Strategic partnerships - including ZenRobotics and USConveyor deploying seven AI-powered Heavy Picker robots for 24/7 scrap metal operations (September 2025), BRT HARTNER GmbH and RTT System GmbH integrating hyperspectral imaging with advanced sensor fusion (December 2025), and Recycleye and STADLER installing the first AI optical sorter at a construction and demolition waste facility in Germany (July 2025) - are accelerating commercialization across previously underserved waste streams. - Key players shaping the competitive landscape include Waste Management Inc., Tetra Pak, TOMRA, Recycleye, ZenRobotics, DataBeyond Technology, BRT HARTNER GmbH, RTT System GmbH, STADLER, Brazil Potash Corp., USConveyor, and SWEEEP Kuusakoski. Strategic Implications The structural drivers underpinning AI adoption in optical sorting are mutually reinforcing. Regulatory pressure - particularly Europe's circular economy targets and North America's escalating recycling mandates - is compelling operators to move beyond conventional sorting systems that fail under seasonal raw material variability, irregular e-waste geometries, and overlapping spectral signatures. AI addresses these limitations directly: real-time feed material monitoring, predictive self-diagnostic maintenance, and automated ejector control are collectively enabling higher throughput, reduced labor dependency, and measurably improved material purity. TOMRA's November 2024 expansion of its GAINnext AI ecosystem across North America - introducing applications including PET Cleaner and Deinking/Paper Cleaning for material recovery facilities - exemplifies how platform-level AI deployment is replacing point solutions across the sorting value chain. The trajectory from manual inspection in 2020 toward near-perfect adaptive efficiency projected by 2030 represents one of the most definable technology adoption curves in industrial automation. Investment Considerations For investors, the optical sorter AI market offers exposure to a confluence of durable structural tailwinds: tightening environmental regulation, food safety compliance requirements, mining cost optimization, and the global push toward circular economy infrastructure. Tetra Pak's approximately $1.8 million deployment of Recycleye AI-powered optical sorting systems across U.K. facilities - achieving over 98% purity as part of a broader $41 million-plus annual global recycling investment - and Brazil Potash Corp.'s December 2025 XRT ore sorting trial illustrate that adoption is spanning both consumer-facing and extractive industries. Companies with proprietary AI platforms, hyperspectral sensing capabilities, and established integration partnerships - particularly those embedded within regulated waste management or food processing supply chains - appear best positioned to capture disproportionate value as compliance timelines tighten globally. Key risks include high initial capital intensity, integration complexity in legacy facilities, and potential margin pressure from increasing commoditization of AI vision components. About the Report AI Impact on Optical Sorter Global Market - BCC Pulse Report provides qualitative analysis of AI adoption trends, emerging technology developments, strategic investment activity, competitive dynamics, and regional demand drivers shaping the global optical sorter industry across recycling, food processing, mining, and construction and demolition applications. About BCC Research BCC Research provides objective, unbiased measurement and assessment of market opportunities with detailed market research reports. Our experienced industry analysts assess growth trends, identify and evaluate new and changing market opportunities, and provide critical information and innovative decision support tools to help inform the strategic decision-making process. For media inquiries, email [email protected] or visit our media page for access to our market research library. Any data and analysis extracted from this press release must be accompanied by a statement identifying BCC Research LLC as the source and publisher.

AI disrupts the Optical Sorter market as billion-dollar investment wave targets recycling precision, mining efficiency, and circular economy compliance. "AI-powered optical sorting systems are reaching up to 99% accuracy as hyperspectral imaging, deep learning and tightening circular-economy mandates accelerate adoption across recycling, mining and food processing." Boston, Aug. 25, 2026 (GLOBE NEWSWIRE) - Artificial intelligence is fundamentally reshaping the global optical sorter market, transforming legacy rule-based sorting systems into adaptive, high-throughput platforms capable of near-perfect material identification across recycling, food processing, mining, and construction sectors. BCC Research's newly published AI Impact on Optical Sorter Global Market - BCC Pulse Report examines the strategic forces, emerging technologies, investment activity, and competitive dynamics driving this transformation worldwide. Key Findings - Investment is accelerating rapidly. Waste Management Inc. committed $90 million to a single AI-powered recycling facility in Pembroke Pines, Florida - capable of processing approximately 275,000 tons of material annually - as part of a broader $1.4 billion capital deployment across 39 new and upgraded recycling facilities in North America through 2026. This signals a decisive shift in industrial-scale recycling infrastructure strategy. - Europe is the regulatory frontrunner. Stringent EU recycling mandates and circular economy policy frameworks are driving widespread deployment of AI-enabled optical sorters for polymer, metal, and paper separation, establishing the region as a primary adoption engine and de facto global benchmark for compliance-driven investment. - Asia-Pacific is the fastest-emerging demand center. Rapid industrialization and escalating waste management pressures are accelerating investment in AI-integrated optical sorting technologies across the region. DataBeyond Technology's January 2025 launch of China's first AI-powered hyperspectral optical sorter for mixed textiles - achieving up to 99% sorting accuracy - illustrates the pace of domestic innovation. - Deep learning and hyperspectral imaging are redefining sorting precision. Convolutional neural networks enabling automatic threshold adjustments, AI-powered hyperspectral systems capturing 256 spectral bands, and AI-driven XRT ore sorting using machine learning for potash preconcentration represent a generational leap beyond fixed RGB-threshold systems, addressing longstanding limitations in e-waste, textile, and mineral processing applications. - Collaborative ecosystems are compressing the technology adoption curve. Strategic partnerships - including ZenRobotics and USConveyor deploying seven AI-powered Heavy Picker robots for 24/7 scrap metal operations (September 2025), BRT HARTNER GmbH and RTT System GmbH integrating hyperspectral imaging with advanced sensor fusion (December 2025), and Recycleye and STADLER installing the first AI optical sorter at a construction and demolition waste facility in Germany (July 2025) - are accelerating commercialization across previously underserved waste streams. - Key players shaping the competitive landscape include Waste Management Inc., Tetra Pak, TOMRA, Recycleye, ZenRobotics, DataBeyond Technology, BRT HARTNER GmbH, RTT System GmbH, STADLER, Brazil Potash Corp., USConveyor, and SWEEEP Kuusakoski. Strategic Implications The structural drivers underpinning AI adoption in optical sorting are mutually reinforcing. Regulatory pressure - particularly Europe's circular economy targets and North America's escalating recycling mandates - is compelling operators to move beyond conventional sorting systems that fail under seasonal raw material variability, irregular e-waste geometries, and overlapping spectral signatures. AI addresses these limitations directly: real-time feed material monitoring, predictive self-diagnostic maintenance, and automated ejector control are collectively enabling higher throughput, reduced labor dependency, and measurably improved material purity. TOMRA's November 2024 expansion of its GAINnext AI ecosystem across North America - introducing applications including PET Cleaner and Deinking/Paper Cleaning for material recovery facilities - exemplifies how platform-level AI deployment is replacing point solutions across the sorting value chain. The trajectory from manual inspection in 2020 toward near-perfect adaptive efficiency projected by 2030 represents one of the most definable technology adoption curves in industrial automation. Investment Considerations For investors, the optical sorter AI market offers exposure to a confluence of durable structural tailwinds: tightening environmental regulation, food safety compliance requirements, mining cost optimization, and the global push toward circular economy infrastructure. Tetra Pak's approximately $1.8 million deployment of Recycleye AI-powered optical sorting systems across U.K. facilities - achieving over 98% purity as part of a broader $41 million-plus annual global recycling investment - and Brazil Potash Corp.'s December 2025 XRT ore sorting trial illustrate that adoption is spanning both consumer-facing and extractive industries. Companies with proprietary AI platforms, hyperspectral sensing capabilities, and established integration partnerships - particularly those embedded within regulated waste management or food processing supply chains - appear best positioned to capture disproportionate value as compliance timelines tighten globally. Key risks include high initial capital intensity, integration complexity in legacy facilities, and potential margin pressure from increasing commoditization of AI vision components. About the Report AI Impact on Optical Sorter Global Market - BCC Pulse Report provides qualitative analysis of AI adoption trends, emerging technology developments, strategic investment activity, competitive dynamics, and regional demand drivers shaping the global optical sorter industry across recycling, food processing, mining, and construction and demolition applications. About BCC Research BCC Research provides objective, unbiased measurement and assessment of market opportunities with detailed market research reports. Its experienced industry analysts assess growth trends, identify and evaluate new and changing market opportunities, and provide critical information and innovative decision support tools to help inform the strategic decision-making process. For media inquiries, email [email protected] or visit its media page for access to its market research library. Any data and analysis extracted from this press release must be accompanied by a statement identifying BCC Research LLC as the source and publisher. BCC Research LLC 50 Milk St., Ste. 16, Boston, MA 02109 [email protected] | +1 781-489-7301 www.bccresearch.com Legal Disclaimer: EIN Presswire provides this news content "as is" without warranty of any kind. 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