Caterpillar (CAT) CES 2026 Keynote summary

Innovation and transformation in heavy industry

• Heavy industry is being redefined through data, autonomy, and AI, moving from traditional machinery to intelligent, connected systems.

• AI and machine learning are embedded into global fleets, enhancing efficiency, safety, and sustainability.

• Leadership transition in 2025 marked a strategic shift toward digitalization and advanced technology.

• The physical infrastructure supporting modern technology is being made smarter and more adaptive.

• Partnerships with tech leaders like NVIDIA are central to advancing AI-driven solutions.

Digital foundation and AI integration

• The Helios digital platform unifies data from 1.5 million connected assets, enabling real-time insights and AI deployment.

• Cat AI Assistant, a multi-modal AI platform, supports customers with maintenance, diagnostics, and operational guidance.

• AI agents proactively monitor equipment, recommend actions, and simplify complex tasks for operators and technicians.

• Edge computing ensures AI functionality even in remote or harsh environments, independent of cloud connectivity.

• Safety, reliability, and trust are prioritized alongside rapid innovation.

Autonomy and advanced machine intelligence

• Autonomous mining fleets have moved over 11 billion tons and traveled 385 million kilometers without injury.

• Expansion of autonomy into construction, quarries, and waste management is underway, with live customer collaborations.

• AI-powered fleets use LIDAR, radar, GPS, and cameras to create real-time digital site views and optimize workflows.

• New roles are emerging for operators, focusing on orchestration and oversight rather than manual operation.

• Investment in workforce training and education is being increased by $25 million to support this transition.