In the era of automation, while artificial intelligence (AI) is reshaping white-collar jobs, creating fears of job loss across industries, blue-collar sectors like manufacturing are gearing up for a significant hiring spree. Yet, despite over nine million blue-collar job openings nationwide, an ongoing skilled labor gap leaves these positions unfilled. As manufacturers grapple with a years-long skilled labor shortage crisis, addressing that crisis requires new innovative means to provide frontline industrial workers with the skills and training necessary for success. Skills development transcends mere training by aiming to cultivate a comprehensive set of competencies and capabilities.
It seeks to foster a versatile and resilient workforce by acquiring specific skills and enhancing problem-solving, critical thinking, creativity, adaptability and a culture of continuous learning. As policymakers and manufacturers work to expand manufacturing capacity in the United States, hiring and retaining workers to fill open positions remains a major impediment to achieving those aspirations. In fact, a recent United States Chamber of Commerce report revealed that even if every unemployed worker filled an open job in their industry, millions of positions would still remain vacant. In durable goods manufacturing alone, over 20 percent of roles remain unfilled. That’s where AI is key.
Connected worker platforms utilizing AI and GenAI offer a solution for manufacturers by providing frontline workers with essential support and training. Skills development programs help bridge the gap by training existing employees or new hires in the required competencies. These platforms also enhance engagement, a vital factor in retaining employees amidst a labor shortage. Unlike fears of obsolescence in many white-collar jobs, AI is augmenting the skills of frontline workers, while leveraging manufacturers’ own data to help them become more productive and satisfied in their roles.
Harnessing manufacturing data is key
McKinsey Global Institute’s findings reveal that manufacturing is the single most data-prolific industry, generating an astonishing 1.9 petabytes of data annually. Despite the overwhelming availability of data, manufacturers are only beginning to tap into how AI can leverage that data to upskill, train, support and engage frontline workforces. By leveraging data–specifically data generated by their operations–manufacturers can uncover valuable insights to optimize processes, enhance efficiency and drive innovation. This data can be instrumental in upskilling employees and providing targeted training programs tailored to specific needs and gaps identified through data analysis.
By utilizing data-driven approaches to support employee development, manufacturers not only improve skillsets but also foster a culture of continuous learning and growth. With personalized training and support, manufacturers can increase employee satisfaction and retention rates, as employees feel valued and invested in their professional development.
AI: Revolutionizing workforce training
AI offers a responsive, adaptive approach to building capabilities in industrial workforces. Frontline worker platforms integrated with AI provide personalized, real-time guidance tailored to individual needs and accelerate skill acquisition. Cutting-edge, generative AI technology offers the opportunity to aid workers with an always available “digital coach." This plays a crucial role in boosting manufacturing skills development and training, making it easier, better and available to more people–when and where they need it during their workflow processes. This training and support creates a workforce that's better skilled and flexible, safer work environments, lower training expenses and overall better efficiency in manufacturing.
Smart connected workforce technology allows experts to guide trainees through tough tasks from afar. Those same frontline workers can access standard procedures and processes via AI assistants, view micro-targeted content and get instant instructions on the shop floor. They are able to access learning plans for trainees that are tailored to their tasks, progress and how they learn best. Once implemented, an AI-powered frontline worker platform becomes a persistent performance support system, enhancing skills sustainably over time. Companies report faster onboarding, fewer expert callouts and reliable closure of skills gaps across their workforces.
The future of continuous training
To tackle the skilled labor crisis, manufacturers must prioritize continuous reskilling and upskilling for their workforce. Operationalizing learning involves integrating training into daily operations, emphasizing a systematic process of acquiring new skills. AI-powered connected worker platforms empower manufacturers with the tools, training and support needed for success. As the skilled labor crisis persists, reskilling and upskilling the existing workforce are fundamental for future organizational success. Using artificial intelligence to harness the power of connected worker data enables manufacturers to train, support and retain employees at a time when a skilled labor crisis could derail macroeconomic, industry-level and business-level objectives.
