Nearly every company attempting to deploy artificial intelligence encounters the same obstacle: integrating the technology into everyday operations is difficult. Industrial heavyweight Caterpillar has spent decades tackling a version of this challenge in the physical world, and now it's applying that experience to AI adoption.
Caterpillar's journey into autonomy began in mining, where labor shortages and hazardous conditions make automation particularly valuable. Today, the company sells autonomous haul trucks, drilling systems, underground loaders, dozers, and remote-controlled construction equipment. Its autonomous toolkit also includes a software command center, fleet management, and remote terrain intelligence.
"Now we're in a super exciting time where we can take all of that learning from mining and bring it into much more dynamic environments, jobsites, quarries, and construction sites," Caterpillar's CTO, Jaime Mineart, told TechCrunch on the sidelines of the Ai4 conference in Las Vegas in early 2026.
Expanding AI across operations
The industrial giant is now applying AI more broadly, including in tools used by technicians and its own employees. One example is the Cat AI Assistant, which enables field technicians to use voice commands to pull up repair procedures, troubleshoot potential issues, and identify needed parts before beginning a repair. Mineart noted that the tool is now being used by customers, operators, and technicians.
The assistant leverages Caterpillar's proprietary data, which includes information generated by its connected machines. Mineart said Caterpillar has approximately 1.6 million connected assets globally and more than 16 petabytes of structured data.
The company is also using AI for site scanning software and digital twin generation in manufacturing to analyze operations, Mineart added. Like many organizations, Caterpillar uses AI across its enterprise operations and software development. "We use AI agents to modernize legacy code, generate and test new software, and identify defects earlier," she said.
The harder part: people and process
Mineart is quick to emphasize that building the technology is only part of the challenge; deploying an autonomous machine is not the same as transforming a site to use AI. Companies must also rethink how people work alongside the technology and how existing processes need to change.
"The hard part about autonomy and physical AI is incorporating that technology into the customer jobsite and into the workflows," she said.
Caterpillar relies on experienced operators to help train AI systems, leveraging institutional knowledge built over decades. As machines become more autonomous, some operators may shift from controlling a single machine to overseeing multiple machines from a remote command center.
This transition is creating a new challenge: training Caterpillar's 118,000 employees. The company plans to invest $100 million over the next five years to train its workforce in AI, autonomy, and robotics—a commitment that reflects the scale of the human side of AI deployment.
via TechCrunch AI