Honeywell, Caterpillar CTOs say AI can ease labor, skills gaps in manufacturing

Core Insights - Honeywell reports that 20% of its software code is generated by AI tools like GitHub Copilot, but this has not led to a reduction in workforce, rather a shift in required developer skill sets [1] - The use of AI allows Honeywell's software developers to engage in more complex tasks and spend additional time with customers for system integration [2] - The industrial sector has been increasingly adopting automation technologies, enhancing efficiency in various operations [3] Industry Adoption of AI - A survey by Deloitte indicates that only 29% of manufacturing companies are utilizing AI or machine learning at the factory level, with just 25% having implemented generative AI [4] - Leaders in the industry, such as Caterpillar's CTO, emphasize the need for workers to adapt to new technologies through training in areas like prompt engineering and data analysis [5] Labor Challenges - The industrial sector faces significant change management challenges, particularly regarding labor capability and availability [6] - There is a perceived labor shortage in developed markets, while emerging markets struggle more with a skills gap [6] - To address these labor challenges, companies are looking to AI as a means to augment their workforce [7]