"Honeywell says that 20% of the company's software code is written by GitHub Copilot and other AI-assistant coding tools. But, does that mean that the industrial giant's embrace of AI has corresponded with a 20% reduction in that team's workforce? No, according to Suresh Venkatarayalu, the chief technology officer and president of the company's software-focused division, Honeywell Connected Enterprise. "What has changed is the type of developer skill sets," said Venkatarayalu at the Fortune Brainstorm Tech conference held last week in Park City, Utah."
"For decades, the industrial sector has been embracing automation technologies that have made it easier to move goods across the factory floor, perform quality control inspections, and monitor machinery to predict when a fix may be in order before any breakdowns occur. Workers have also gotten more access to AI-enabled tools, helping recommend when supplies need reordering, predict demand from customers, and help handle repetitive back-office tasks."
Honeywell reports that 20% of its software code is produced using GitHub Copilot and other AI-assisted coding tools. The company did not reduce the software team's headcount by 20%; instead, developer skill sets have shifted toward more complex tasks. Reduced time spent writing code allows developers to focus on system integration and spend more time with customers solving field issues. The industrial sector has long adopted automation for material movement, quality control, and predictive maintenance. AI tools now help with supply reordering, demand prediction, and repetitive back-office tasks. Adoption of AI at the factory or network level remains limited, with only 29% using AI/ML and 25% deploying generative AI.
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