AI for manufacturers: From experimentation to capital expenditure - RSM US

Most manufacturers aren't falling behind on AI because they're slow. They're falling behind because they skipped the homework and went straight to the purchase order. You've probably been there. A

Most manufacturers aren't falling behind on AI because they're slow.

They're falling behind because they skipped the homework and went straight to the purchase order.


You've probably been there. A tool gets bought, a login gets shared, and three months later nobody can remember the password. The $200/month keeps getting charged. Nobody mentions it.

That's not a technology failure. That's a sequencing failure.


Here's what the RSM research on middle market manufacturers actually shows: the companies winning with AI didn't start with the biggest tools. They started with the most specific problems.

Not "we need AI." But "we need to stop losing four hours every Monday to manual inventory reconciliation."

That specificity is the difference between a shelfware subscription and a real return.


The one thing you can do this week: write down the single most repetitive, time-consuming task your team complains about. Don't think about AI yet. Just name the pain clearly.

That problem statement is worth more than any demo call. It becomes your filter for every vendor conversation.


What's one AI tool you've tried that your team quietly stopped using — and what do you think actually went wrong?


#Manufacturing #AIStrategy #OperationalExcellence #BusinessGrowth

Original Source

While adoption remains uneven, the shift is clear: AI is moving from small ... Most U.S. middle market manufacturing companies are already using AI and ...