The industrial sector faces a compounding crisis: an aging workforce of experienced engineers and operators is retiring just as operational demands intensify. This talent drain has created a capacity gap that forces 77% of decision-makers to delay strategic initiatives. While interest in AI agents is surging—with twice as many businesses planning investments compared to those sitting on the sidelines—a significant trust deficit remains. Currently, only 5.7% of executives express full confidence in autonomous AI, leading most to favor human-in-the-loop models where software manages high-volume workflows while staff maintain oversight.
Industrial firms turn to AI agents to bridge widening workforce gaps
Industrial organizations are losing 41% of their operational capacity to repetitive manual tasks, according to new research from The Futurum Group. To combat this, companies are increasingly deploying autonomous digital workers, shifting from traditional automation toward AI agents capable of executing complex tasks while flagging high-stakes decisions for human review.
IFS is positioning its Loops Agentic Platform to capitalize on this transition, promising to automate 60% of agentic transactions end-to-end. Early adopters are reporting tangible gains. For instance, the Kitron Group is deploying purchase-to-order digital workers across its 13 global sites. During implementation, these agents identified a decade-old data error that had bypassed manual audits for years. Other firms, such as Ependion, have completed company-wide rollouts of supply chain management agents in as little as 10 weeks. As Somya Kapoor, CEO of IFS Loops, notes, the goal is not merely to supplement human labor but to integrate purpose-built AI directly into existing business systems to prevent downtime and missed deliveries.
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