Companies are preparing to deploy robots at a much greater scale, but the systems needed to manage people and machines together are developing more slowly. New Intel research points to gaps in workforce planning, safety and technical skills that could determine how quickly larger robot fleets can be put to work.
Robot Investment Is Running Ahead of Workforce Planning
An Intel-commissioned survey of 800 business and IT leaders, robotics specialists, and government and healthcare officials found that 60% of senior leaders expect their organizations to operate fleets of robots within five years.
Confidence in managing those fleets is also high. Some 67% of respondents believe their organizations will be ready to manage a mixed human-robot workforce by 2030, while 74% expect workforce planning and robotics strategy to become inseparable by then.
Yet only 40% currently have a formal strategy for managing a workforce that combines people and robots.
That gap matters as investment in automation accelerates. Preliminary data from the International Federation of Robotics shows U.S. industrial robot installations increased 11% in 2025 to 38,000 units. Growth was particularly strong in food manufacturing, where installations rose 30%.
The expansion increases the number of decisions companies need to make beyond selecting and installing equipment. Workforce design, training, maintenance capability, safety processes and responsibility for human-machine interaction all become harder to address after robot fleets have already expanded.
Intel’s research found substantial differences between sectors. Defense recorded the widest gap between confidence about readiness by 2030 and the presence of formal human-robot workforce strategies today, at 48 percentage points. Smart cities followed at 30 points, manufacturing at 26, retail at 25 and healthcare at 22.
Safety and Skills Could Set the Pace of Deployment
The constraints extend beyond workforce strategy. Intel found that 55% of respondents said safety concerns had delayed robotics deployments, while 40% identified shortages of skills and talent as an obstacle to scaling.
Employee acceptance remains another issue. Fewer than half of respondents said introducing robotics had made human workers feel more valued in their roles. At the same time, 41% said they did not believe HR leaders were equipped to plan for a workforce that includes robots.
These findings suggest that scaling robotics will require coordination across functions that have traditionally handled automation separately. Engineering and technology teams may determine what machines can perform, but workforce planning affects how jobs are redesigned, safety teams determine how people and machines share physical space, and training determines whether new systems can be supported consistently.
The issue becomes more significant as companies progress from individual installations toward interconnected fleets. A technical problem affecting one machine can be contained locally. Standardizing training, safety procedures and human-machine workflows across dozens or hundreds of robots requires a different level of organizational preparation.
Robot Capacity Will Depend on Human Systems
The next constraint on automation may emerge outside the robot itself. As fleets grow, companies will need enough trained people, safety capacity and management discipline to absorb new equipment without creating bottlenecks elsewhere. Robot investment can increase physical capacity quickly, but the pace at which organizations build the human systems around that technology could determine how much of that capacity they can actually use.
