The manufacturing industry is at a critical juncture, as it struggles to cope with a crippling labor shortage and skills gap.

Deloitte’s 2024 Outlook on Manufacturing found that nearly 75% of manufacturing executives view attracting and retaining talent as their top challenge. With baby boomers retiring and younger generations shunning factory jobs, the manufacturing sector is facing a persistent skills vacuum that could derail the post-pandemic production rebound.

The numbers are stark: The manufacturing skills gap in the U.S. could leave as many as 2.1 million jobs unfilled by 2030. This shortfall poses an imminent threat to the industry by limiting growth potential and creating downstream disruptions throughout supply chains. Companies simply cannot keep up with increasing demand without skilled workers to operate complex production lines.

How, then, can manufacturers replenish their labor pools and equip the next generation with industry knowhow? The key to solving this challenge is modernizing workforce training, by implementing emerging technologies such as artificial intelligence and connected worker platforms. Innovative training programs that utilize these cutting-edge tools are game-changers for attracting digital-native workers and closing skills gaps.

The old ways of workforce training are no longer adequate. The days of thick technical manuals and intermittent classroom sessions have given way to on-the-job, hands-on approaches that mirror how younger employees acquire skills in the modern age. Smart factories require tech-savvy operators who can rapidly absorb and apply knowledge in technologically advanced environments.

Smart connected worker platforms put AI-optimized data, instructions and insights directly into the hands of frontline workers with mobile technology and computer systems. This leapfrogs traditional methods, and ensures that the right knowledge and training are delivered to where and when they’re needed, and by whom. McKinsey Global Institute reports that manufacturing is the single most data-prolific industry, generating an astonishing 1.9 petabytes of data annually. Despite this wealth of available data, manufacturers are only beginning to tap into how AI can draw on operational data to upskill, train, support and engage frontline workforces.

By analyzing data generated from their own processes, equipment and workforce, manufacturers can uncover valuable insights to optimize workflows, enhance efficiency and drive innovation. This data is instrumental in upskilling employees by providing targeted training programs tailored to specific skill needs and gaps identified through AI-powered analytics.

AI-enabled connected worker platforms give manufacturing organizations the ability to seamlessly integrate digital tools and knowledge bases into operational workflows; support frontline workers with personalized step-by-step work instructions, remote experts or GenAI-powered industrial assistants, and optimize processes through AI-driven analytics. These platforms allow manufacturers to digitize and easily manage skills tracking and training programs across the workforce. Manufacturers can create, track, and optimize training material through simple drag-and-drop editors, visualize team and individual skills gaps through digital skills matrices, and even create custom skills dashboards to intelligently assign work.

As workers perform tasks, AI can analyze their performance data to automatically generate personalized upskilling and reskilling content. Personalized work instructions deliver this bite-sized training directly to tablets and computers at the point of need. With in-line support and continuous microlearning, workers perpetually enhance their skills as operations evolve.

By connecting training to live work being done on the factory floor, companies drive seamless knowledge transfer. As new processes or equipment get rolled out, manufacturers can rapidly update digital work instructions to ensure that workers remain proficient. 

This closed loop of continuous learning directly addresses a key challenge undermining workforce development: the inability to maintain cutting-edge skills as operations shift. With connected worker platforms, companies ensure that their teams remain perpetually competent on the latest processes and technologies. Upskilling and reskilling happen organically, through bite-sized instructional content personalized for each individual.

As the transition to a smart, connected workforce takes hold, manufacturing stands to massively upgrade its ability to cultivate talent pipelines. Connected worker platforms equip employers with the tools needed to get workers trained and competent faster. Knowledge-sharing and mentorship becomes frictionless. And accessible on-the-job training opens pathways for more people to join the industry.

To stay competitive in the modern digital-industrial economy, manufacturers have no choice but to reimagine workforce training for a new era. Old models are ill-equipped to supply the skilled workers needed to run smart factories. By harnessing technologies such as AI and connected worker platforms, the sector can overcome skills gaps, attract next-gen talent, augment existing worker capabilities, and position itself for sustainable growth.

Chris Kuntz is vice president of strategic operations at Augmentir.