Honeywell has released the findings of its Industrial AI Insights global research study, which captures the state of Artificial Intelligence (AI) in the sector. While only 17% of AI decision makers around the world have fully implemented their initial AI plans, more than 9 in 10 say they are uncovering unexpected new use cases whether they are in the prototyping, launch, or scaling stages of AI implementation.
The research also finds AI leaders are “sold” on AI for industrial applications. The enthusiasm for a deeper commitment to AI investment is nearly universal, with 94% of those surveyed saying they have plans to expand their utilisation of AI.
“There is no question that AI is currently at a pivotal moment,” said Kevin Dehoff, Honeywell’s Chief Strategy Officer. “With the advent of Gen AI and more sources of data from advanced analytics, Industrial AI is poised to grow exponentially, and the possibilities are endless for revenue growth and employee satisfaction.”
When asked for their thoughts on the impact of AI on industrials, nearly two-thirds (64%) of AI leaders cited efficiency and productivity gains among the most promising benefits. Sixty percent say improved cyber security and threat detection result from AI and 59% report better decision making due to real-time data generation.
Several other benefits of AI for workers were also cited by respondents, including, increased work flexibility (49%), greater job satisfaction (45%), more time for skills development and creative thinking (44%), and increased workplace safety (39%).
Skills development is crucial in today’s economy with baby boomers retiring and fewer replacements entering the workforce. Through AI, employers can more quickly upskill and reskill workers. AI will transform industrials as it enables workers to perform jobs at higher levels, providing greater job satisfaction while increasing productivity and addressing the skills shortage.
Lucian Boldea, President and CEO of Honeywell Industrial Automation, offered one direct example: “There can be tens of thousands of instruments, equipment, and valves needed to process and manufacture a product and many of the parts we supply manufacturers require highly experienced technicians for operation and maintenance – and there are fewer and fewer of those experienced technicians available. With AI training and AI as a “co-pilot” the skills of less experienced technicians can more quickly be upgraded, turning them into more elite experts that perform tasks based on enterprise knowledge and best practices. In turn, plants’ operations can run more safely and reliably by dramatically reducing human error.”
While the enthusiasm for AI to expand is palpable, there are still some challenges in the way of full adoption. More than a third of survey respondents (37%) feel that their C-Suite fully doesn’t understand how AI works and almost half (48%) say they are having to continually justify or request resources needed to implement AI plans.
“Businesses of all types recognise that AI is transforming our world and creating new possibilities. For building operations – such as hospitals, campuses, and offices – it is clearly the future. As AI orchestrates controls that regulate HVAC, lighting and electricity usage, it helps to improve safety, operational and sustainability outcomes,” said Billal Hammoud, President and CEO of Honeywell Building Automation.
All of this suggests the pace of change will be driven by compelling use cases that can be measured in terms of improved business performance. As new solutions demonstrate clear benefits to workforce productivity, safety, and reliability, AI adoption will dramatically increase with the potential to transform industrial operations.
Honeywell commissioned Wakefield Research to survey AI leaders around the world. The online survey, which was conducted from April 22 through May 2, 2024, involved 1,600 executives in 12 global markets (US, Brazil, Canada, China, France, Germany, India, Japan, Mexico, United Kingdom, Kingdom of Saudi Arabia and United Arab Emirates). Each respondent works at a company with at least 1,000 employees that is currently using AI to automate processes and tasks. All respondents are influencers or decision makers related to the use of AI within their departments or across their organisations
