Part of the labour shortage’s solution has nothing to do with employees.
The manufacturing sector is facing an unprecedented challenge: a growing skilled labor shortage that threatens daily operations and long-term growth. According to ManpowerGroup’s 2026 Global Talent Shortage Survey, 72% of manufacturing employers said they are struggling to find the skilled talent they need. Additionally, government labor data indicates that over a third of the active maintenance workforce is now aged 50 or older. As skill gaps widen and veteran maintenance technicians retire across industries, industrial facilities can no longer rely on traditional hiring tactics alone.
While market disruptions like the pandemic created acute shocks, the labor shortage presents a far more sustained, structural challenge. Even companies that fully realize these consequences often rely on non-viable, short-term fixes.
In response to workforce constraints, many management teams instinctively try to recruit through immigration, student visas, or work permits, or by offering higher salaries and sign-on bonuses. While competitive compensation and traditional recruitment remain essential, they are no longer sufficient on their own. It is time to leverage digital innovation, automation, predictive analytics, and machine learning.
The Right Way to Fill Positions with Technology
First, organizations must overcome the fear of technology. The goal is not to eliminate jobs, but to stop bottlenecking business growth due to a lack of personnel.
Technology is an ally for the prosperity and growth of our businesses. By 2035, it will probably be the difference between those who make it through this shortage and those who have to shut down.
The correct approach to bridging labor gaps with technology is to automate repetitive tasks while reserving value-added, data-driven work for human judgment:
- Put exactly 150 screws in a box, 2,000 times a day → automation
- Judgment, creativity, decision-making, empathy → human
Adopted properly, this technology-driven approach ensures that your existing maintenance team is more than sufficient, boosting overall productivity without sacrificing employee retention.
How Can Predictive Maintenance Help a Company Address the Labor Shortage?
Reducing Burnout to Improve Staff Retention
Unscheduled downtime and late-night emergency repairs are primary drivers of technician burnout and turnover. By shifting maintenance operations from reactive firefighting to planning and scheduling, predictive maintenance minimizes stress and overtime for frontline teams. While technology alone may not instantly solve recruitment, improving work-life stability plays a critical role in retaining skilled workers.
In fact, 85% of executives surveyed by Deloitte agree that smart manufacturing initiatives make the industry more attractive to new talent, helping shift perception away from outdated, labor-intensive work toward modern, tech-forward careers.
Doing More with Less: Maximizing Existing Team Efficiency
By leveraging real-time sensor data and predictive machine learning models, facilities can drastically minimize manual inspection tasks and prevent unscheduled breakdown events. This approach does not eliminate the need for skilled technicians — instead, it maximizes their daily efficiency. According to Deloitte’s findings, manufacturers implementing smart factory and predictive maintenance tools see an average 7% to 20% boost in employee productivity, a 10% to 20% increase in production output, and up to 15% in unlocked capacity.
Furthermore, data from the U.S. Department of Energy (DOE) demonstrates the transformative financial and operational impact of functional predictive maintenance strategies. Their research shows an average 10x return on investment (ROI), a 25% to 30% reduction in overall maintenance costs, and a 70% to 75% elimination of breakdowns. This enables companies to bridge the labor gap without relying solely on aggressive hiring tactics.
Overcoming the “False Excuses” for Postponing Innovation
When evaluating technology adoption, many organizations hesitate due to perceived budget constraints and time investments. However, these challenges stem less from impossibility and more from misjudging risk and operational priority.
In today’s landscape, delaying digital transformation is not a cost-saving measure; it is a direct risk to long-term competitiveness. Your competitors are already taking action: Deloitte reports that 78% of manufacturers allocate over 20% of their improvement budgets to smart manufacturing initiatives, with 88% planning to maintain or increase these investments in the coming fiscal year.
The Lack of Money
What is the real cost of your current maintenance? Studies published in the DOE’s Operations & Maintenance Best Practices Guide reveal that over 55% of industrial facilities still operate under a reactive maintenance (“run-it-till-it-breaks”) model. This status quo is astronomically expensive, costing approximately $18 per horsepower per year — double the cost of a predictive maintenance model ($9/hp/year).
If you haven’t adopted condition monitoring or predictive insights, hidden costs such as raw material loss, excessive overtime, and lost production capacity likely represent an additional 10% to 15% on top of your known maintenance costs. However, several companies, such as Soralink, now offer monthly subscription solutions using high-fidelity IoT sensors and a predictive maintenance platform. This subscription model makes advanced analytics and modern technology accessible without the need for a significant initial investment.
The Lack of Time
You are already wasting that time. How much time would you save by eliminating unplanned breakdowns and costly downtime on critical assets? How many overtime hours does your production team work following an unexpected disruption? Knowing that innovation attracts and retains competent employees, how much time do you currently devote to hiring?
The labor force shortage is too big a problem to be solved by hiring alone. We must explore all the possibilities offered by innovation, automation, and predictive maintenance tools. The concept of digital transformation in maintenance operations is no longer just for the future — it is happening right now.
While you hesitate and wait, your competitors dare and get ahead of you.
If you’d like assistance with implementing predictive maintenance in your company or simply want to discuss your challenges, you can contact us, follow us on LinkedIn, or subscribe to our newsletter to stay up to date on the latest news in this field.