October 8, 2026
When we first chose “New Tech” as the focus for our annual Corrugated Issue, we had no idea that Artificial Intelligence (AI) would explode into the packaging arena and dominate almost every new tech conversation. The most predictable thing about changing technology is the rate at which it comes flying at us: faster every minute.
Fortunately, there are tech experts in our industry willing to help us get our Acquired Intelligence up to speed, and we were lucky enough to snag a few of them as contributors to this special issue of Paper360°. I’ve learned a lot pulling together this issue.
For instance, I now know the difference between generative AI and agentic AI. Generative AI relies on user prompts and uses advanced machine learning to generate entirely new outputs; I think it’s what most people think of when they worry about robots taking over for human poets, artists, and musicians.
Agentic AI, on the other hand, is like having a new employee—an agent, if you will—capable of collecting, sorting, and processing data points a zillion times faster than an ordinary human. (I’m still fact-checking whether “zillion” is the scientifically preferred term.) In the words of Amtech Software CEO Chuck Schneider in the article that starts on page 17 of this issue: “Agentic AI systems…are capable of monitoring operational conditions continuously and triggering responses automatically when something requires attention.”
For manufacturers, that sounds pretty amazing. Ideally, agentic AI can give your crew the data required to make informed decisions or the time required to speak directly with customers, two things at which robots do not excel. Instead of replacing your humans, it may free their time to be…more human.
My main takeaway has been that there is, and should be, a learning curve for AI adoption. The benefits far outweigh the risks—but only if you avoid the risks. For this issue’s Trendspotting feature, we’ve collected a suite of articles that point out what some of those risks might be. There’s also advice on how to manage data, maintain security, and engage employees to make AI work for your facility.
Even our Millwise section is getting in on the packaging party, with a look at how Metsä Board’s Simpele mill modernization prepared it to serve two of the fastest growing FBB markets: foods and pharmaceuticals.
Where do you see the biggest potential for AI in your process? I’d love to hear your (non-AI generated, totally human) thoughts.
