AI @ Caterpillar
Summary
- Caterpillar has progressively integrated AI technology since 2018, evolving from machine learning applications in logistics and asset intelligence to deploying AI-driven autonomous equipment and predictive maintenance, with notable partnerships such as OSIsoft integration and alliances in the aggregates industry.
- From 2024 onward, Caterpillar has sharply pivoted towards supporting AI infrastructure, notably expanding large-engine manufacturing capacity to meet the booming demand for data center energy needs, while committing over $100 million to upskilling its workforce in AI and digital technologies.
- Recent quarters in 2025 show Caterpillar achieving significant financial growth linked to AI-powered sectors, including a 31% jump in sales of power generators and turbines driven by AI data center demand, alongside strategies to increase services revenue to $28 billion, highlighting AI as a key growth driver beyond core heavy machinery.
VIBE METER
5 AI Use Cases at Caterpillar
AI Workforce Upskilling2025
Infrastructure Support2025
Autonomous Control2024Customer Facing
Predictive Maintenance2023Customer Facing
Timeline
2025 Q4
Caterpillar saw a 31% sales increase in power generators and turbines driven by artificial intelligence infrastructure demand; recognized as a growth leader amid AI data center boom, surpassing traditional equipment sales growth.
2025 Q3
Caterpillar integrated AI extensively in manufacturing, logistics, and administrative workflows aiming for $28 billion in services revenue; enhanced AI engineering hiring activity evident.
2025 Q2
Caterpillar focused on AI infrastructure growth by expanding large-engine plants to meet soaring electricity demand from AI data centers; committed $100 million to upskill workforce with AI and digital skills.
2025 Q1: no updates
2024 Q4
Caterpillar's digital center in Chennai leveraged AI and IoT to transform machine maintenance and improve customer engagement through prioritized service events.
2024 Q3
Caterpillar sought to expand enterprise generative AI capabilities and employed senior AI engineers to strengthen data-driven business decisions and AI ecosystem foundations.
2024 Q2
Caterpillar reaffirmed its active pursuit of AI to improve business outcomes, including embracing emerging technologies like generative AI for forecasting improvements and industry revolution.
2024 Q1: no updates
2023 Q4
Interview with Caterpillar's CTO elaborated the company's customer-driven innovation leveraging autonomy, AI, and machine learning to improve safety and efficiency across operations.
2023 Q3
Caterpillar highlighted three key areas where AI-powered smart technology simplifies equipment ownership and operation, reinforcing its focus on AI-enhanced customer experiences.
2023 Q2: no updates
2023 Q1: no updates
2022 Q4
Caterpillar collaborated with Luck Stone to drive artificial intelligence adoption in the aggregates industry, signaling expansion of autonomous technologies in heavy equipment.
2022 Q3: no updates
2022 Q2: no updates
2022 Q1: no updates
2021 Q4: no updates
2021 Q3: no updates
2021 Q2
Caterpillar utilized AI to reduce manufacturing and selling costs by installing sensors in equipment and leveraging AI-based services to improve supply chain forecasting and operational efficiency.
2021 Q1: no updates
2020 Q4: no updates
2020 Q3: no updates
2020 Q2: no updates
2020 Q1: no updates
2019 Q4: no updates
2019 Q3: no updates
2019 Q2: no updates
2019 Q1: no updates
2018 Q4
Through its Asset Intelligence Platform, Caterpillar applied machine learning to identify meaningful correlations in data that optimize equipment performance producing tangible Return on Investment.
2018 Q3
Caterpillar partnered with OSIsoft to integrate advanced data management systems into its AI services, aiming to reduce logistics costs and enhance equipment support for land and sea operations.