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Addressing the question of how medical manufacturers can embrace technology without displacing the skilled workforce that drives their success.
March 4, 2026
By: Kevin Ledversis
VP Sales
A recent World Economic Forum report found that the skills gap remains the most significant barrier to business transformation today. Nearly 40% of required job skills are expected to change by 2030, and 63% of employers already cite it as their primary challenge. The rapid adoption of artificial intelligence (AI) and automation has been a major catalyst for this gap, which is reshaping manufacturing by enhancing efficiency and productivity in ways unimaginable even ten years ago.
For medical device manufacturers, the adoption of new technology solutions brings opportunities for innovation but also poses deployment challenges. With automation’s promise to reduce variability and improve throughput, there is an industry push for automation, but it has proven unable to fully replace the human judgment needed to interpret data and meet evolving demands. Workforce capability remains central to operational resilience and long-term success.
This raises a critical question: How can medical manufacturers embrace technology without displacing the skilled workforce that drives their success? Upskilling has emerged as a key strategy, enabling employees to adopt new skills while preserving institutional knowledge. Complementing this is the rise of employee-focused tools that show that technology strengthens, not replaces, human capability. By keeping staff engaged on the production floor while allowing seamless interaction with digital workflows, these systems combine operational efficiency with a human-centered approach to transformation. For medical device developers and manufacturers, striking the right balance of technology and human capability is essential to creating strong, resilient business practices.
Your workforce is just as important as the machines on the floor, especially in the medical device industry. Automation and artificial intelligence can handle repetitive tasks quickly and precisely, but human discernment remains essential in medical device production. Products such as prosthetic implants, surgical instruments, and other high-precision devices demand judgment and problem-solving that machines cannot easily replicate. Investing in preexisting talent and upskilling the workforce empowers employees to tackle more complex tasks, such as quality assurance, streamlining regulatory requirements, and troubleshooting issues in real time.
Newcastle’s 2025 Trend Report found that 26% of facilities expect to have some form of automation by 2027, contributing to an overall anxiety surrounding machines taking on routine tasks and responsibilities. This trend further speaks to the power of upskilling. By supporting employees through training, organizations can alleviate negative sentiment around technology adoption and safeguard institutional knowledge. Automation that displaces skilled workers can do more than harm company culture. When turnover rises and experience gaps appear, operations are at risk, and the adoption of new systems can slow, limiting the full potential of investments.
Training programs that enable staff to work alongside automation allow employees to creatively expand their roles and remain fully engaged in operations. A recent report found the most common workforce response to these changes is expected to be upskilling, with 77% of employers already planning to do so. This approach strengthens the workforce, preserves institutional knowledge, and ensures that modernization enhances both operational efficiency and human capability.
For many medical device manufacturers, the dilemma is not if they should modernize, but how to do so strategically without jeopardizing processes and established systems. Legacy platforms are the foundation for critical documentation, records, and workflows that have been rigorously tested and iterated over years. Replacing these systems can introduce significant risk and strain limited resources. For smaller and mid-sized manufacturers in particular, large-scale automation can create compliance concerns if implementation outpaces workforce readiness or process alignment.
A phased approach to modernization allows organizations to reduce risks while maintaining continuity. Introducing targeted technologies to address specific bottlenecks or repetitive tasks can help teams improve efficiency without dismantling existing systems. Mobile-powered workstations and flexible digital tools help bridge the gap between legacy and modern platforms, allowing employees to access information, record data, and support quality processes without forcing abrupt change.
Mobile workstations and other adaptable tools can also help connect established and emerging systems. Employees can apply their expertise where it matters most while gradually becoming familiar with new technologies. This measured introduction of technology integration allows workflows to evolve naturally, giving teams time to adjust, gain confidence, and observe operational improvements. By focusing on how technology is introduced, companies can preserve critical skills, maintain continuity, and lay a strong foundation for long-term modernization.
By working to enhance the workplace experience, businesses can unlock hidden value within existing teams and systems with minimal disruption. By being clear about deployment and intention, management can strengthen relations and culture among frontline employees, improving talent retention and overall workforce security.
Automation’s true power lies within its ability to handle standardized or repetitive tasks such as inventory management and data collection. Additionally, upgrades that augment work, rather than fully automate it, better interact with both legacy and modern systems. Tools such as AI-assisted tracking, hands-free voice picking, and mobile-powered workstations expand employee capabilities by automating small functions of their day. Piece-meal adoption also ensures that critical processes remain unchanged, preserving operational security.
Adopting this modernization perspective reduces upfront costs and training requirements as the technology is easier to use and more intuitive for workers. This reallocation of time allows employees to focus on higher-value work. With transparency and the workforce’s best interest in mind, modernization can become a unifying force that strengthens performance and sets teams up for success as the industry continues to rapidly evolve. When employees are given the opportunity to learn new processes or take greater control of their workday, teams can assume expanded responsibilities and contribute insights more freely to overall success. By creating a partnership rather than a competition between employees and technology solutions, employees feel valued, and efforts are maximized.
The past year has shown that AI and automation’s impact is real and continuing to grow. Once only able to complete simple tasks, recent innovations promise more complex functionality down the line. With manufacturing facing labor shortages and pressure to speed up production, automation initially appears to be a fix-all solution. But technology alone cannot yet ensure quality, compliance, or device safety, nor has it proven to be widely accessible. Continuing to deliver on established standards while modernizing processes depends on retaining skilled employees and equipping them with the tools they need to compete.
By adopting a collaborative mindset towards technology adoption rather than a competitive one, organizations can safeguard the foundational trust that drives medical product manufacturing. Together, businesses can strengthen operations by preparing entire teams to implement current and new innovations, providing a clear pathway to improved operations. In an industry where precision and trust are paramount, preserving the human element should not be viewed as a barrier to progress, but rather, as the foundation that enables progress.
Kevin Ledversis is the vice president of sales at Newcastle Systems.
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