Once relegated to science fiction and foil-covered school projects, robotics has become a multi-billion-dollar engine of American productivity. The proof is in the procurement: according to data from the Association for Advancing Automation, last year alone, American companies invested $2.25 billion in nearly 37,000 units. That’s a structural shift. Morgan Stanley forecasts that the humanoid robot market is projected to surpass $5 trillion by 2050. Today, robots are essential to securing our infrastructure, scaling our economy, and redefining the very nature of the American workplace.

As the industry continues to grow, the future of American resilience will lie in general-purpose robots that can protect companies against global disruption.

From the Lab to the Real World

Robots are the result of decades of research, creativity, and engineering. From the first mobile robot with the ability to perceive and reason about its surroundings to legged robots navigating uneven terrain, early prototypes created the blueprint for the modern robots we have today. The success of the industry is also largely thanks to the beginnings of commercialization and decades of venture capital and defense funding that propelled the market forward.

With increased investment in AI, the development and scale of robot adoption is moving faster than ever. Robots are becoming the physical embodiment of AI and the impressive behaviors that used to take engineers months of programming and testing can now be accomplished overnight. The core challenge, however, is that robots must be taught everything from scratch. One of the reasons large language models were so seemingly intelligent is because they were trained on the entire history of the internet. Robots don’t have a dataset like that for the physical world. They don’t know how much objects weigh, how much grip force to apply, or whether something is solid, flexible, or breakable. Building an internet-scale dataset for the physical world is the defining engineering challenge of this decade — and AI will help us get there faster.

From patrolling factories and performing surgeries to handling last-mile delivery and enhancing customer service, robots are having a real-world impact. People worry robots will take their jobs, and that’s a legitimate concern. At Boston Dynamics, the most powerful deployments we’ve seen aren’t the ones where robots replace workers. They’re the ones where robots take on the dangerous, repetitive, or physically backbreaking work so that people can focus on what they’re actually good at. Historically, countries that have aggressively adopted automation have tended toward lower unemployment, not higher. The goal isn’t a workforce without humans. It’s a workforce where humans are doing more meaningful work. That requires investing in retraining and reskilling at the same scale we’re investing in the technology itself — and that responsibility falls on industry as much as government.

Moving the American Economy Forward

As robots emerge at the front lines of the American economy, the current surge of competition in the industry — from established leaders to emerging startups — is one of the greatest drivers of innovation in our country. However, the U.S. isn’t the only country moving fast. China currently accounts for over 54% of all global robotic deployments. To stay ahead, the U.S. needs healthy competition, a dedicated national robotics strategy, investment in AI, and rigorous safety protocols.

The stakes are straightforward: without a national robotics strategy, the U.S. risks dependence on foreign technology, exposure to supply-chain shocks, and a permanent loss of competitive ground to China. We have seen what that looks like in semiconductors. We cannot afford to repeat it in robotics.

Creating a national robotics strategy is about putting the programs and processes in place that establish adoption at scale. This includes creating incentives, expanded workforce development and training programs, supply chain strategies, and national messaging that drives cultural change. Early this year, legislation was introduced that would launch a Congressional National Robotics Commission, which will provide policy recommendations to strengthen American leadership in robotics. This is a crucial first step and we need to move urgently.

Innovation without trust is a liability. As robots become more integrated into our physical lives, safety is non-negotiable. On the software side, that looks like embedding ethical guardrails directly into the machine’s decision-making process, especially as these machines are integrated more closely with large language models. On the hardware side, this means functional safety measures that keep the robot from hurting the people around it. The International Organization for Standardization (ISO) is already working to develop new standards dedicated to the safety of industrial robots. Robots need to be reliable in unpredictable scenarios, and we won’t see expanded adoption until they are.

As we approach the 250th anniversary of American independence this summer, the transition of robotics from the lab to the real world signals a new era of national resilience. With healthy competition, a unified AI and robotics strategy, and increased adoption, the U.S. will ensure its ability to withstand economic uncertainty and remain a leader in technological innovation for the next two and a half centuries.

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