Five major organizations have been shortlisted for the 2026 Global Sustainability Awards' Tech and AI category, showcasing how artificial intelligence can reduce energy consumption, cut food waste, and improve operational resilience across industries. Canon Europe, Metafoodx, NVIDIA, One New Zealand, and Tata Consultancy Services (TCS) are finalists announced ahead of the September 8 ceremony in London, demonstrating that AI's sustainability impact extends far beyond climate modeling, touching everything from device lifespan optimization to real-time network management during natural disasters.

How Are Companies Using AI to Improve Energy Efficiency and Reduce Waste?

The five finalists are applying AI and automation to operational challenges in ways that directly reduce environmental impact. Their approaches span multiple sectors and demonstrate practical pathways for organizations looking to embed sustainability into their technology strategies.

• Hardware Optimization: Canon Europe has integrated machine learning algorithms into its imageFORCE device range to identify potential component failures and extend device lifespan, while incorporating up to 30 percent recycled plastics and low energy consumption across the product line.
• Data Center Infrastructure: Tata Consultancy Services is building HyperVault, an AI-ready infrastructure platform combining direct-to-chip liquid cooling, high rack density, and resilient power systems, with over 1 gigawatt of new capacity planned across key locations in India and a pathway toward fully green power.
• GPU Efficiency Gains: NVIDIA reports that its Blackwell GPUs deliver more than 50 times the energy efficiency of traditional CPUs for large language model (LLM) inference workloads, while the company's data processing units (DPUs) reduce power consumption by offloading networking and infrastructure functions from CPUs.
• Network Resilience: One New Zealand uses AI-powered network optimization tools that respond to changes in demand and real-time disruptions such as flooding, earthquakes, and storms, helping telecommunications infrastructure adapt without manual intervention.
• Food Waste Reduction: Metafoodx applies computer vision and AI to track food from production through disposal, using its Mobile AI Scanner to identify menu items, temperature, and weight, enabling kitchens to optimize inventory based on actual demand rather than estimates.

What Makes These Approaches Stand Out in the Sustainability Space?

The shortlisted organizations were selected based on demonstrable outcomes, innovation, scalability, and transparency, according to the awards criteria. What distinguishes these finalists is their focus on embedding sustainability into core operations rather than treating it as a separate initiative. NVIDIA, for example, purchased or generated enough renewable electricity in fiscal year 2025 to match 100 percent of its global electricity usage, while simultaneously working with organizations to apply AI to energy efficiency and climate adaptation.

One New Zealand's approach highlights how AI can support operational resilience while maintaining human oversight. The company has established responsible AI principles covering deployment transparency, customer choice, and human accountability. More than 1,000 employees now have access to enterprise-grade AI tools, and staff receive training in responsible AI practices.

TCS is moving toward an AI-first enterprise model in which data, models, and AI agents support redesigned value chains, with people remaining involved in decision-making and oversight. This human-in-the-loop approach reflects a broader trend among the finalists: technology is a tool for amplifying human judgment, not replacing it.

How to Implement AI-Driven Sustainability in Your Organization

Organizations looking to follow the lead of these finalists can adopt several practical strategies to integrate AI into their sustainability efforts:

• Predictive Maintenance Programs: Deploy machine learning algorithms to analyze sensor data from equipment and devices, identifying potential failures before they occur and extending product lifespan while reducing replacement waste.
• Energy-Efficient Infrastructure Design: Invest in AI-ready data center infrastructure that incorporates direct-to-chip liquid cooling, high rack density, and resilient power systems designed to evolve toward fully renewable energy sources.
• Real-Time Operational Monitoring: Implement AI-powered tools that respond dynamically to changes in demand and environmental disruptions, enabling infrastructure to adapt without manual intervention and reducing energy waste during peak or crisis periods.
• Data-Driven Waste Reduction: Use computer vision and AI scanning to track consumption patterns and waste streams, feeding insights into forecasting and purchasing systems that optimize inventory based on actual demand rather than historical estimates.
• Responsible AI Governance: Establish clear principles for AI deployment that emphasize transparency, human accountability, and employee training, ensuring that automation supports rather than undermines organizational values.

Why Does AI Energy Efficiency Matter Now?

The recognition of these five organizations comes as AI infrastructure demands continue to grow globally. Data centers powering AI workloads consume significant electricity, making efficiency improvements critical for both operational costs and environmental goals. By showcasing real-world applications of AI to reduce waste, optimize hardware, and improve network resilience, the awards highlight pathways that other organizations can follow.

Canon's integration of machine learning with digital workflows demonstrates how AI can improve security and device management while supporting product lifecycle optimization. The company's cloud-based services enable secure printing, document capture, and workflow automation, helping organizations move toward more digitally connected operations with lower environmental footprints.

Metafoodx's approach to food waste is particularly relevant for large-scale food service operations. By scanning returning trays to record leftover food and categorize it as reused, donated, or composted, the company gives kitchens detailed visibility into consumption patterns. This data feeds into the Kitchen Management Software, supporting forecasting, planning, and purchasing decisions that reduce waste across operations.

The 2026 Global Sustainability Awards ceremony will take place on September 8, 2026, at the JW Marriott Grosvenor House in London. The event is co-located with the Global Supply Chain Awards and Global Procurement Awards, bringing together sustainability leaders, innovators, and organizations working across sustainability, procurement, and supply chain to support a more sustainable global economy.