Industrial AI Uptake is just getting started but majority of sector is uncovering new use cases, finds Honeywell research

Honeywell 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 they’re “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 utilization 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.”

AI adoption in India

As per the research findings, 29% of the Indian companies have already fully launched their AI strategy and 27% see data as their most important asset. In terms of the use cases offered by the advanced technologies, 79% see improved efficiency / productivity and data availability—to help decision-making—as the most promising use cases for AI. The report further highlights that almost 9 out of 10 (88%) Indian enterprises expect to pay more to attract the right talent pool of AI engineers.

AI unlocks workplace benefits

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 cybersecurity 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%)

· 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 a 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.”

What’s Next for AI

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 recognize 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.