The manufacturing industry, long a cornerstone of the global economy, is facing a growing and complex challenge that could significantly reshape its future. As a large portion of the workforce approaches retirement age, valuable expertise is steadily leaving factory floors. At the same time, manufacturers are struggling to retain employees, with turnover rates climbing as high as 32 percent annually in some sectors. Together, these trends are making it increasingly difficult for companies to preserve, transfer, and build upon the critical skills required to keep operations running efficiently, safely, and competitively.
For decades, manufacturing has relied heavily on hands-on experience as a primary method of learning. While formal training programs play a role, much of the most valuable knowledge has traditionally been passed down informally, through mentorship and day-to-day collaboration between seasoned workers and newer employees. This type of understanding—often referred to as institutional knowledge—includes insights into machine behavior, troubleshooting techniques, workflow optimization, and quality control practices. When experienced workers retire or leave, much of this knowledge goes with them. Without a structured way to capture and retain it, companies risk losing the practical expertise that keeps production consistent and reliable.
The combined impact of retirements and high turnover has created a cycle in which knowledge is disappearing faster than it can be replaced. Although new employees may receive initial training, they often lack the time, guidance, or real-world exposure needed to fully develop their skills. Without sufficient mentorship or opportunities to handle complex scenarios, they may struggle to reach the same level of proficiency as their predecessors. This growing knowledge gap can lead to slower production times, increased errors, and reduced product quality. It can also limit innovation, as fewer experienced workers are available to suggest improvements or refine existing processes.
Technology offers some tools to help address this problem. Advanced monitoring systems, digital twins, and artificial intelligence can record processes and provide guidance to newer employees. Some companies are going further by implementing model-based, interactive work instructions. These instructions document processes in a way that is accessible to multiple employees, capturing knowledge that does not rely on any single person. Garth Coleman, CEO of Canvas Envision, is one leader working in this space, using these tools to ensure that expertise lives beyond individual employees and can be shared across the workforce as needed.
Many manufacturers are also investing in structured training and mentorship programs. Pairing experienced employees with new hires allows skills and practical knowledge to be transferred directly. Combining this approach with digital tools and interactive work instructions creates a more robust system for capturing institutional knowledge. This approach helps ensure that critical expertise is preserved and that new workers are trained effectively, even as experienced employees retire or move on.
The challenge extends beyond individual factories. As the industry struggles to maintain a skilled workforce, productivity, innovation, and competitiveness are at risk. Companies that fail to address the knowledge gap may experience higher costs, slower production, and difficulties in maintaining quality standards. Conversely, those that invest in systems to capture and share knowledge can create a more resilient workforce, better equipped to meet changing demands in manufacturing.
Ultimately, the knowledge crisis is prompting a fundamental shift in how manufacturing operates. Success is no longer determined solely by output or efficiency, but also by how effectively companies manage and preserve their expertise. Retaining and transferring knowledge has become a strategic priority, essential to long-term sustainability. Manufacturers that take steps now to document processes, support employee development, and integrate technology with human expertise will be better positioned to navigate future challenges and remain competitive in an evolving industry.
