SPECIAL REPORT | Manual jobs face highest automation risk — report
The findings show that production roles are the most vulnerable, driven by the increasing use of robotics, machine learning, and automated systems in manufacturing and industrial environments.
A new April 2026 study on job automation found that manual and production roles—often overlooked in artificial intelligence discussions—face some of the highest risks of displacement, with patternmakers topping the list at 99% automation risk.
The report, based on research by Planera, a construction technology company that develops software for project scheduling and workforce planning, examined more than 55 physical and manual occupations across production, agriculture, mining, retail, logistics, and services. It found that automation is rapidly transforming the “physical backbone” of the workforce, not just white-collar jobs.
Production, manual labor most exposed
The findings show that production roles are the most vulnerable, driven by the increasing use of robotics, machine learning, and automated systems in manufacturing and industrial environments.
Patternmakers in metal and plastic—responsible for creating molds and templates used in manufacturing—face the highest risk at 99%, with employment projected to decline by 24.4% in the coming years. Only about 1,570 workers remain in the role in the United States, earning a median annual wage of $54,540.
Other high-risk occupations include underground mining machine operators (97%), milling and planing machine operators (91%), and agricultural graders and sorters (89%). Many of these roles involve repetitive, process-driven tasks that are increasingly handled by automated machinery.
The production sector dominates the top 10 most at-risk occupations, highlighting a structural shift in how goods are manufactured and processed globally.
Retail, agriculture jobs also vulnerable
The report also identifies large-scale service roles such as cashiers as highly exposed to automation. With more than 3.1 million workers employed in the occupation, cashiers face an 88% automation risk, driven by the expansion of self-checkout systems, digital payments, and AI-powered retail platforms.
Agricultural roles, particularly graders and sorters, are also at risk as automated sorting technologies and precision agriculture systems reduce reliance on manual labor.
Despite lower wages compared to national averages—some roles earning as little as $31,000 annually—these jobs remain critical sources of employment, raising concerns about large-scale displacement.
Global labor trends mirror findings
The shift identified in the report aligns with broader global labor trends. The International Labour Organization has warned that automation disproportionately affects routine, low- to medium-skill jobs, particularly in manufacturing and agriculture.
In developing economies, including parts of Southeast Asia, a significant share of jobs—especially in production and assembly—are at high risk of automation due to their repetitive nature. This raises concerns about job quality, income stability, and the need for reskilling.
The World Trade Organization has also observed that automation is reshaping global value chains, with companies investing in advanced manufacturing technologies to improve efficiency and reduce labor costs.
Human cost, wage pressures
The study factors in not only automation risk but also employment size and wage levels to assess the broader impact on workers. Many of the most vulnerable roles are relatively low-paying, suggesting that automation may further widen income inequality.
For example, sewing machine operators—another high-risk group at 85% automation risk—earn about $36,000 annually, while print binding and finishing workers and polishing workers earn below $42,000.
These wage levels limit workers’ ability to transition easily into new roles without access to training or education, increasing the risk of long-term displacement.
Shift beyond white-collar automation narrative
An automation expert cited in the report said the focus of automation discussions has largely been on office and knowledge work, overlooking parallel disruptions in manual sectors.
“The production floor is quietly going through an equally significant shift,” the expert said, adding that manufacturing and production workers are facing “some of the most immediate disruption in the entire job market.”
This suggests that automation is not a sector-specific phenomenon but a systemic transformation affecting both digital and physical labor markets.
Implications for the Philippines, ASEAN
For economies like the Philippines, where a large portion of the workforce is engaged in manufacturing, retail, and service roles, the findings highlight potential vulnerabilities.
ASEAN economies integrated into global supply chains may experience similar pressures as firms adopt automation to remain competitive. This could lead to job displacement in export-oriented industries such as electronics, garments, and food processing.
However, international agencies emphasize that automation does not necessarily lead to net job losses if accompanied by effective policy responses. Investments in skills development, digital literacy, and industrial upgrading can help workers transition to new roles created by technological change.
Balancing productivity, workforce transition
The report underscores a central tension in the global economy: automation drives efficiency and productivity but can displace workers in the short term.
As industries continue to adopt automated systems, policymakers and businesses face the challenge of balancing technological advancement with inclusive labor outcomes. This includes expanding reskilling programs, strengthening social protection systems, and ensuring that workers in vulnerable sectors are not left behind.
The findings reinforce a growing consensus among international institutions that the future of work will depend not only on technological capability but also on how societies manage the transition.
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