Generative AI’s Impact across the operations value chain

Most of the companies I serve are European industrials, and the biggest change I’ve seen with them is ability to dream again. With generative AI, you suddenly have this new technology that can have a really drastic impact across the whole business, compared to the operational improvements we typically make. That’s across the whole business, including internally with employees, externally with customers, procurement, R&D, the supply chain, and across the entire value chain and operations. There’s a buzz among our companies, with people asking, “What can I do, what can I ask gen AI, and how can I apply it to make my job more fun?”

There are, of course, risks to be aware of, and limitations as to what this technology can do. But that doesn’t limit the opportunity, it just frames it. Over the past few years, European industries have faced so many challenges, such as inflation, geopolitical risks, raw material challenges, and a lack of supply chain resiliency. Companies have worked thoughtfully and tirelessly to define their strategies, their next steps, and how to mitigate these risks and remain successful.

Gen AI, just like any other technology, must serve a business purpose and be business-driven, not just technology-driven. Otherwise, we’re just talking about a toy to have fun with in our daily lives. Regardless of how businesses choose to invest in this new technology, the goal must be to help achieve these targets. As for the impact and potential of gen AI, I find it both refreshing and a real game-changer. It can serve our company’s purpose if used thoughtfully and purposefully, and can act as a positive catalyst for our people, because we’re boosting excitement, the ability to learn, and the ability to dream again.