Why your AI strategy will fail at the shop floor

New PwC research found that 54% of manufacturers report low or very low confidence in their frontline leaders' ability to lead through AI adoption. The same study found CIOs and CTOs are five times more likely than COOs to say the workforce is ready.

That delta between the executive deck and the production floor is exactly where transformation projects die.

Here is what is actually happening. The AI conversation in the public square has been dominated by two narratives, how to make money with AI and how AI is taking jobs. Almost nothing has been written about how AI is going to reshape the physical work that gets done in our businesses. Frontline leaders are part of that public, so the low confidence is not surprising. It is the predictable outcome of a missing conversation.

Closing the gap is not a communications problem. It is a capability problem, and capability is built three ways.

First, AI education that is specific to the work being done. Not a generic webinar, an honest explanation of what is changing in their function and what is not.

Second, co-ownership of AI pilots. Every initiative needs a frontline leader as a co-owner from day one, not as the person who gets handed a tool at go-live. The supervisor on the floor belongs in the design conversation.

Third, AI adoption discipline that mirrors ERP discipline. Readiness assessment, change impact analysis, training plan, hypercare, sustainment. The muscle already exists in most operations functions. Apply it.

Capability, not capex, is the binding constraint on AI-era operations.

Thanks for reading,
Sarah