Article

Robot-ready: The next wave of automation for manufacturers

Manufacturers should build automation readiness before adoption becomes urgent

September 10, 2026

Key takeaways

AI system with a robotic arm representing intelligent automation.

Robotics is increasingly viewed as a strategic component of manufacturing competitiveness.

Clean multicolor icon of a robot with internal circuit lines, symbolizing artificial intelligence.

Middle market manufacturers need to understand whether they are equipped to use humanoid robots.

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Returns depend on utilization, process stability, integration complexity and workforce adoption.

Robotics technology is evolving rapidly, and even middle market manufacturers that have already embraced automation need to be intentional about how they prepare for the next iteration of this technology.

Robotic arms, conveyors and automated guided vehicles have been fixtures on factory floors for decades. What is changing is the range of work robotic systems can perform, the flexibility of those systems and the economics behind adoption.

For middle market manufacturers, humanoid robots won't take over the factory floor overnight. However, as labor constraints, wage pressure and global competition intensify, companies need to have a clear understanding of whether they have the operational, digital and workforce capabilities needed to start deploying these technologies as they advance.

Manufacturers that wait until robotics adoption becomes more urgent will find that the real constraint is not the technology itself, but their own readiness to use it.

Robots are becoming more capable—and more accessible

For decades, advanced robotics adoption was largely confined to specialized applications among large manufacturers that could justify significant capital investment and integration costs. That is beginning to change. AI and machine vision are enabling robotic systems to perform more complex and variable tasks, including work that requires more discerning judgment, such as identifying defects or adapting to inconsistent parts.

Collaborative robots and autonomous mobile robots have already become common in many facilities, while humanoid robots—machines designed in the shape of human bodies—are emerging as a distinct category designed to operate in spaces built for people, using existing tools, walkways and workstations rather than requiring a redesigned production line.

The economics of adoption are changing as well. Robotics as a service, subscription-based automation and turnkey solutions are reducing up-front capital requirements, making automation more accessible to middle market manufacturers that previously could not justify the investment. As deployment models continue to evolve, manufacturers may have more flexibility in how they evaluate, finance and implement robotics initiatives.

Robotics as a service, subscription-based automation and turnkey solutions are reducing up-front capital requirements, making automation more accessible to middle market manufacturers that previously could not justify the investment.
Ryan Farlow, Industrials Senior Analyst, RSM US

Labor and cost pressures are making robots a strategic decision

Robotic systems should not be viewed solely as a labor replacement tool. Labor scarcity, rising wages and global cost pressures are making productivity increasingly central to manufacturers’ competitiveness. As a result, automation is becoming a broader strategic decision rather than simply a workforce solution.

The economics are moving faster than many manufacturers realize. Traditional industrial robots are already inexpensive to run: A $50,000 unit, accounting for electricity and maintenance over a seven-year lifespan, works out to roughly $1.90 an hour—a fraction of the fully loaded cost of a U.S. manufacturing worker, which now exceeds $40 an hour.

Humanoid robots are on a similar trajectory, just earlier in the curve. According to Bank of America Global Research, humanoid unit prices are expected to fall from roughly $35,000 in 2025 to approximately $17,000 by 2030 as production scales and components become more commoditized. At that price point, amortized over a multiyear lifespan with dual-shift operation, humanoid labor costs could fall to roughly $3 an hour—a return on investment fast enough to justify capital approval in many manufacturing organizations.

The potential benefits extend beyond labor cost savings. Robotics can improve consistency, reduce operational variability, increase asset utilization and lower unit production costs. In many cases, the business case may be driven as much by productivity, quality and operational resilience as by workforce savings.

Many manufacturers also continue to struggle to recruit and retain workers for repetitive, physically demanding or difficult-to-staff positions. At the same time, customers increasingly expect shorter lead times, consistent quality and reliable delivery. These pressures are increasing the value of technologies that can improve throughput, reduce downtime and create more efficient operations.

TAX TREND: Robotics, AI and manufacturing automation

Manufacturers adopting automated production lines, AI-enabled processes and smart factory technologies often make related investments in software, data systems, facility improvements and product development. Those decisions can influence tax incentives, after-tax cash flow and the return on automation investments. Evaluating tax considerations as part of automation readiness planning may help manufacturers improve project economics while supporting long-term growth.

Read more: R&D tax credit myths that may be costing you money

Even in a more protectionist trade environment, tariffs alone may not eliminate cost advantages held by competitors operating with lower labor costs or more advanced automation capabilities. Manufacturers that improve productivity through automation will be better positioned to compete regardless of how trade policy evolves. At the same time, successful deployment is never guaranteed by implementation alone. Returns depend on factors such as utilization, process stability, integration complexity and workforce adoption, making a disciplined approach to capital allocation and return on investment essential.

The robotics race is becoming a competitive and geopolitical issue

Robotics is increasingly viewed as a strategic component of manufacturing competitiveness, economic security and industrial leadership. Governments and private industry around the world are investing heavily in robotics and physical AI tools as they seek to strengthen domestic manufacturing capacity and improve productivity in their respective countries.

South Korea, Singapore, Germany and Japan are the global leaders in robot density (robots per manufacturing worker), while China has emerged as the world's largest market for industrial robot deployment (annual robot installations). Policymakers across the United States and Europe are also placing greater emphasis on automation as part of broader industrial strategies. These developments reflect the growing role robotics is expected to play in future manufacturing competitiveness.

For middle market manufacturers, the implications are practical. Automation intensity—the extent to which production processes rely on robotics and automated systems—increasingly influences productivity, quality, cost structures and delivery performance. Companies that wait until automation becomes a baseline necessity may find themselves reacting to competitive pressures rather than preparing for them. Competitive advantage is likely to accrue not only to manufacturers that invest in robotics, but also to those that develop the capabilities needed to deploy automation effectively.

What manufacturers should do now

Manufacturers do not need to predict exactly when humanoid robots or next-generation automation technologies will become mainstream. The organizations that stand to benefit most from the next wave of industrial automation will likely be those that begin preparing now.

Readiness requires more than purchasing equipment. Manufacturers should evaluate where automation can create value, whether their digital infrastructure can support advanced technologies, and how workforce strategies may need to evolve alongside increasing automation.

Recommended actions include:

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Map robot-ready work. Identify repetitive, dangerous, quality-sensitive or labor-constrained processes where robotic systems could create business value.

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Test the economics. Evaluate whether robotics could reduce unit costs, improve throughput, increase uptime or support reshoring economics.

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Strengthen the digital foundation. Assess enterprise resource planning, data quality, connectivity and cybersecurity readiness before adding more automated equipment.

demographic

Plan for the workforce shift. Determine whether current workforce strategy assumes labor availability that demographic and wage trends may not support.

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Evaluate vendor and deployment models. Compare ownership, leasing, robotics as a service and turnkey automation options before committing capital.

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Monitor policy and safety requirements. Track robotics-related regulation, machinery safety, cybersecurity and trade policy as governments respond to the global automation race.

Automation readiness will be key

The next robot era is unlikely to arrive all at once. Adoption will vary by industry, application and economics. But the overall trend is becoming increasingly clear: Robotics is more capable, more flexible and more accessible than it was only a short while ago.

Companies that build automation readiness will be best positioned to capitalize on the next wave of industrial automation as it unfolds.

RSM contributors

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