November 2, 2025
November 2, 2025
Labor shortages, especially of trained line workers and engineers, are grinding productivity to a halt across industries.
Even when they can hire, much of the workforce is temporary, undertrained, or overwhelmed.
The result?
⇨ Increased scrap and rework
⇨ Poor quality outcomes
⇨ Regulatory compliance issues
⇨ Millions lost in productivity and revenue
In response to these kinds of issues, more manufacturers are turning to AI-powered assembly copilots.
Tools that combine computer vision and real-time feedback to assist workers as they build.
These systems can:
✅ Recognize which step a worker is on
✅ Alert them instantly if they’re about to make an error
✅ Surface patterns in non-standard behaviors
✅ Provide insights for process improvement and ergonomics
As a result, AI copilots help bridge the labor shortage gap by:
⇨ Helping temp workers act like trained professionals
⇨ Giving line leaders visibility and support
⇨ Highlighting areas where small changes can drive big improvements
Kudzai Manditereza is an Industry4.0 technology evangelist and creator of Industry40.tv, an independent media and education platform focused on industrial data and AI for smart manufacturing. He specializes in Industrial AI, IIoT, Unified Namespace, Digital Twins, and Industrial DataOps, helping digital manufacturing leaders implement and scale AI initiatives.
Kudzai hosts the AI in Manufacturing podcast and writes the Smart Factory Playbook newsletter, where he shares practical guidance on building the data backbone that makes industrial AI work in real-world manufacturing environments. He currently serves as Senior Industry Solutions Advocate at HiveMQ.