The cutting edge

IMTS 2026 showed AI that writes toolpaths, picks strategies and fills the gap left by retiring programmers. But every one of those systems depends on accurate tool data. If the data going in is poor, the toolpaths coming out will be too, only faster.

AMB 2026 launched its first defense program. At IMTS, new additive systems were pitched to defense buyers who want shorter supply chains. Defense has become a show category of its own, and that raises the bar for every shop that machines A&D parts.

IMTS in Chicago and AMB in Stuttgart ran the same week in September and sent the same message. Automation is now the starting point for every machine purchase. The shops that win will be the ones whose tool data is ready for it.

If I told you there's a line item that represents 3-4% of your machining costs but controls the other 96%, you'd probably want to know what it is. Cutting tools.

The term sounds like conference jargon, so let's be precise: a digital twin is a living digital model of a physical thing — a part, a machine, a process — that updates as reality changes. Not a CAD snapshot. A feed.

How many times does the same carbide insert get typed into a computer before it ever touches metal?

26% of the U.S. manufacturing workforce is expected to retire by 2030. That stat gets quoted a lot. But here's the part that doesn't get enough attention: it's not just people leaving. It's knowledge.

A customer recently asked a question that's coming up more and more: "We keep reading about AI changing manufacturing. Are we already behind?"
The honest answer is complicated. Most shops aren't behind. But they're not wrong to feel uneasy, either. There's a real gap forming between shops laying the groundwork for AI and shops waiting for it to show up as a button they can press.