Manufacturing Automation: Discover Asset Management in 2026

Paweł Bęś, Logistics and Maintenance Marketing Expert, QRmaint

Posted 3/17/2026

Modern manufacturing is currently undergoing a profound transformation driven by AI-powered automation. In this landscape, Computerized Maintenance Management Systems (CMMS) are redefining the factory floor once again. While these technologies promise to eliminate downtime through predictive maintenance, they also bring significant shifts to the labor market. According to the MIT Shaping the Future of Work Initiative, roughly 1.6–3.2 million workers—about 1–2% of total US employment—could see their roles displaced over the next 20+ years. While these figures represent gross job losses, historical data suggests many of these workers will eventually transition into new roles—a sentiment recently echoed by IFS CEO Mark Moffat, who noted that industrial AI is designed to expand capacity and create new opportunities rather than simply eliminate positions.

Our goal is not to dwell on the anxieties of the labor market, as we view this shift as a massive game-changer and an opportunity for a new employment model. As manufacturers integrate CMMS to streamline operations, the core role of the workforce remains essential; these professionals are the stewards of the business who will safeguard these changes and help companies navigate this era of volatility. Ultimately, the challenge lies in balancing these massive efficiency gains with the economic reality of a workforce in transition.

Manufacturing and automation: Where does it begin?

To understand where we are in 2026, we must look back at 2020—the year that served as the ultimate stress test and the Great Accelerator for manufacturing automation.

While your data shows that the UK manufacturing sector contributed 9% to GDP in 2023, the landscape in 2020 was one of “survival through digitization.”

In 2020, the manufacturing world faced a dual shock: a global pandemic and, in the UK, the final countdown to Brexit. This “perfect storm” changed automation from a “nice-to-have” luxury into a “must-have” survival strategy.

1. The Death of the “Paper Trail”

Before 2020, many factories still relied on physical clipboards and manual handovers. When social distancing and “stay at home” orders were issued:

Remote Monitoring became the only way to keep lines running with skeleton crews.
CMMS adoption surged: 74% of maintenance professionals surveyed in 2023 reported that CMMS was now their primary tool for productivity, moving away from spreadsheets that couldn’t be easily shared in a remote environment.

2. The Shift from “Just-in-Time” to “Just-in-Case”

The 2020 supply chain collapse exposed the fragility of global manufacturing.

Resilience over Cost: Manufacturers stopped focusing solely on the cheapest part and started using automation to track real-time inventory.
Predictive Maintenance (PdM): If a machine broke in 2020, getting a technician or a spare part from overseas was nearly impossible. This forced companies to invest in sensors that could predict a failure before it happened, keeping the UK’s £224bn industry alive.

3. Labor: From Displacement to Protection

The MIT study mentions the fear of job losses, but 2020 proved a different point.

Safety first: Robots were deployed not to replace people, but to handle tasks in “high-density” areas of the factory where humans couldn’t safely stand together.
The “Digital Shield”: Sectors with high levels of digitalization saw 20% fewer productivity losses during the 2020 lockdowns compared to less-automated peers.

Automation in the manufacturing industry in EU and US

While the UK remains a global leader in output value (£224 billion), the data on Robotization Density reveals a critical “automation gap” that separates the world’s top economies from those currently in transition, such as Poland. This might be always a good indicator for US companies to approach EU in certain regions. We still see this as Global vs. Local struggles for EU, where The Robotization Gap in 2026 is quite big among various countries in EU.

The International Federation of Robotics (IFR) data highlights a stark contrast in how countries utilize automation to bolster their GDP.

The Global Leaders: As of our current standing in 2026, the global average has surged past the 2018 level of 99 robots per 10k employees, reaching a new record of 177 robots globally. Countries like South Korea (1,220) and China (567) have utilized this density to dominate the “Gross Production” rankings mentioned in your introduction.
The Polish Context: Poland has made strides from its 2018 density of 42, reaching 78 robots per 10,000 workers by the start of 2026. However, it still sits 28th globally. For Poland, robotization is no longer just about “modernization”—it is a demographic necessity to counter a shrinking labor pool.
The UK Position: The UK is currently the 11th largest manufacturing economy globally. While it saw a “one-off” peak in installations due to tax incentives in 2023, the 2026 focus has shifted toward investment in people to manage these high-tech assets.

CMMS system: Automation answer

In 2026, the Computerized Maintenance Management System (CMMS) has officially moved beyond its origins as a “digital filing cabinet” for work orders. It has become the central nervous system of the factory, connecting the robotic hardware you’ve researched with the human “stewards” of the business.

1. From “System of Record” to “System of Action”

In the past, a CMMS simply recorded that a machine broke. In 2026, the system prevents the break.

Real-Time Integration: Modern CMMS platforms are natively integrated with IoT sensors. If a robot’s motor in a Polish automotive plant exceeds a vibration threshold, the CMMS doesn’t just send an alert—it automatically checks spare parts inventory, orders the required bearing if it’s out of stock, and schedules a technician who has the specific certification to fix that model.
Predictive Power: By 2026, AI-driven CMMS can predict failures 60–90 days in advance with up to 97% accuracy. This eliminates the “reactive death spiral” where maintenance teams are constantly firefighting instead of improving.

Summary: Let’s give some outlook

The “anxieties of the labor market” mentioned in the MIT study are being answered by a new reality: Automation is not replacing the worker; it is replacing the “downtime” that threatens the worker’s job. In 2026, the companies that thrive are those that view their robots as tools and their employees as the essential stewards of those tools.

The reality on the factory floor is that CMMS is a job-preservation engine. By converting raw sensor data into actionable work orders, a modern CMMS ensures that the £224 billion UK manufacturing output—and the growing robotic density in Poland—is not sidelined by unexpected failures. It transforms the role of the 2.6 million workers from manual repair crews into data-driven asset managers.

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Manufacturing Automation: Discover Asset Management in 2026