To meet growing demand, heavy equipment companies are betting on AI as a core part of their growth strategies in 2026 and beyond. While it’s already largely part of modern software systems, many companies have yet to adopt or manufacture AI-powered equipment. Companies like Caterpillar, Hitachi, and Cummins are among the first to take the plunge, and their perks could include reduced overhead costs, increased productivity, and a narrowing of the labor gap.
Where AI is already making an impact
As of 2025, many companies are adding AI and automation to their digital tooling, including in finance software, BIM tooling, and design products. AI assists with invoice management and processing, arbitration functionality, safety improvements, contract drafting and review, and largely eliminates tedious administrative work that slows office employees.
Many businesses trust that AI use will give them a competitive edge in the market. By planning projects with greater precision and reliability, they expect it to boost their reputation and win more business in the long term. Some business owners, however, are concerned about AI tooling, citing inaccuracies, hallucinations, and data security risks as key issues.
AI as a physical asset is a growing concept in construction, with some companies piloting autonomous equipment and robotics. Heavy equipment heavyweight Hitachi is investing in heavy equipment health monitoring and using intuitive software to analyze machine health to better predict the type and frequency of maintenance. Their system, LANDCROS Connect Insight, can also detect unsafe operation and inefficient use, while boosting long-term performance.
The heavy equipment companies powering AI through generators
Cummins and Caterpillar are producing dozens of generators to power the AI boom, with some capable of powering more than 1,000 homes. The goal here is to ensure AI models and software products can run consistently and without interruption. And being some of the first to ride the AI equipment bandwagon has proven to be a lucrative choice for these heavy equipment companies.
Tech companies have yet to step into the AI-powered manufacturing space, so part production falling to the heavy equipment sector isn’t unexpected. As data center construction continues to skyrocket, generator demand follows suit. Both Cummins and Caterpillar have outperformed the S&P 500 over the last year, and their stock prices have risen above those of many prominent data center customers, including Meta, Amazon, and Microsoft.
While there are many ways the construction industry can benefit from AI, getting in on the manufacturing game can be the most profitable move.
Like this and want more? Subscribe to our newsletter and follow us on LinkedIn to stay up to date with AI in AEC.
