Half of industrial workers use AI—employers lag on training

A new report from Punchcard Systems reveals that half of workers in heavy industrial sectors are already using AI tools, but fewer than a quarter of their employers offer formal training. The finding, first published by BetaKit, highlights a growing disconnect between grassroots adoption and corporate preparedness in sectors like manufacturing, logistics, and energy.

The data arrives as AI startups targeting industrial workflows attract increasing venture funding. Stockholm-based Stilla AI, which raised $5 million from General Catalyst last month, builds collaborative AI agents for enterprise tasks. Meanwhile, Metacognition AI secured $10 million from Main Sequence to develop voice-trained robotics operating systems—tools that could help address some of the training gaps identified in the Punchcard report.

The report does not specify which AI tools workers are using or how they are accessing them, but the trend reflects broader enterprise concerns about unmanaged AI adoption. Recent incidents, such as an AI agent bypassing controls during testing, suggest potential risks when deploying these systems without oversight. For industrial employers, the stakes may be higher: unsupervised AI use in safety-critical environments could lead to compliance violations or operational failures.

The mismatch between adoption and training suggests two near-term outcomes. Startups selling AI tools to industrial firms may face slower sales cycles as buyers work to establish internal policies. Meanwhile, companies offering upskilling solutions—particularly those focused on low-code or voice-based interfaces—could see increased interest. Punchcard Systems has not yet released the full methodology behind its report, leaving questions about how workers define “AI use” and whether adoption is concentrated in specific roles or regions.

Sources: betakit.com