The largest US shipbuilder is exploring physical AI in ship construction
Huntington Ingalls Industries, the largest shipbuilder in the United States, is betting big on a combination that could completely redefine how warships are built: artificial intelligence and autonomous robotics applied directly on the factory floor of its shipyards.
The company announced on Monday a strategic partnership with GrayMatter Robotics, a California-based startup specializing in intelligent robotic systems, to integrate what the industry has been calling Physical AI into shipbuilding operations. The goal is clear: speed up production, reduce dependence on an increasingly scarce workforce, and tackle head-on the most brutal and physically demanding tasks across the entire production chain.
And the timing could not be more strategic. 🤖
What motivated this partnership between HII and GrayMatter Robotics
The United States faces a real and growing problem at its naval shipyards: there simply are not enough qualified people to carry out tasks that demand extreme precision and extraordinary physical endurance. At the same time, the demand for military vessels keeps rising, and deadlines keep getting tighter. It is exactly in this scenario that automation stops being a futuristic bet and becomes a concrete, urgent necessity.
The answer HII found comes in the form of advanced robotics and a technology that is turning heads around the world: Physical AI, or artificial intelligence applied to machines that interact directly with the physical world. No algorithms running only on servers here. These robots literally get their hands dirty.
Eric Chewning, executive vice president of marine systems and corporate strategy at HII, was straightforward when announcing the collaboration: together, they plan to integrate Physical AI into the construction of both crewed and uncrewed vessels, further accelerating the industrial revitalization already underway at American shipyards.
The partnership between HII and GrayMatter Robotics will explore four main fronts: developing autonomous shipbuilding capability, integrating GrayMatter technologies into the shipyards, workforce training, and increasing production of uncrewed systems. These are four pillars that, together, outline an ambitious modernization plan that goes far beyond simply placing a robot on the assembly line.
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Physical AI: intelligence that acts in the real world
The concept of Physical AI is the technological heart of this entire transformation. Unlike the artificial intelligence models most people are familiar with — the ones that generate text, images, or answer questions — Physical AI is designed to perceive, interpret, and act on the physical environment around it. It combines computer vision, depth sensors, and real-time decision-making algorithms to enable a robot to perform complex tasks with a level of precision and autonomy that would be impossible with traditional programming.
In the context of shipbuilding, this has enormous implications. GrayMatter Robotics’ Factory Superintelligence AI technology will be explored to perform tasks like sanding, grinding, coating application, blasting, inspection, and finishing of metal structures used in the construction of crewed and uncrewed vessels. These are not trivial tasks. Each one requires not just brute force but also situational judgment that, until recently, was exclusively human territory.
A robot equipped with Physical AI can identify imperfections on a surface, adjust the trajectory of a movement in real time, or detect structural anomalies that could easily go unnoticed during a human inspection performed under fatigue conditions. This ability to read the environment is what sets the current generation of industrial robots apart from everything that came before. 🧠
And most importantly: unlike conventional automation technologies, Physical AI allows these robots to perform more than one task. Chewning was direct in explaining this limitation of previous approaches, saying that HII had already pushed traditional automation technologies to their limits in the complex production of Navy ships. Automation at the shipyards, according to him, is customized for the size and scale of military vessels but had remained limited to largely repetitive construction activities. Physical AI changes that equation by giving robots the flexibility they were missing.
The real problem automation came to solve
Understanding the context behind this initiative is essential to grasp the scale of the challenge. The American military shipbuilding industry has been facing a quiet crisis in skilled labor. Younger generations of workers show less interest in careers that involve intense physical labor, exposure to unhealthy environments, and long shifts under harsh conditions. At the same time, the most experienced workers are retiring, taking with them decades of technical knowledge that is not easy to document or transfer to new professionals on short notice.
Ariyan Kabir, CEO and co-founder of GrayMatter Robotics, did not mince words when describing the situation. He stated that these are physically brutal tasks that demand incredible precision and that there simply are no longer enough qualified people in the United States to perform them. Coming from someone who is developing the technology to solve the problem, that statement carries considerable weight.
The result of this scenario is a production bottleneck that directly affects delivery timelines for the US Navy. Billion-dollar contracts for warship construction depend on a production chain that, for a long time, relied almost exclusively on human capital. With demand rising and the supply of specialized labor shrinking, the equation simply does not work without introducing a new variable. And that variable is precisely intelligent robotics.
Beyond the personnel shortage, there is another factor that weighs heavily in this equation: workplace safety. Naval shipyards rank among the industrial environments with the highest accident rates in the manufacturing sector. Working with massive metal structures, at height, under extreme heat conditions, with high-powered equipment, and in spaces with limited ventilation is a combination that puts lives at risk every single day. Introducing robots to handle the most dangerous tasks directly contributes to reducing accidents and improving overall working conditions for the humans who remain in operations. 💪
The year of demonstrations: what to expect in the next cycle
Kabir described the coming year as the year of demonstrations. During this period, HII and GrayMatter Robotics will pilot the technology, test how the systems perform in the real environment of a shipyard, and evaluate the path to scaling production after that. We are not talking about a concept on a PowerPoint slide. This is a practical implementation, with deadlines, targets, and results evaluation under real operating conditions.
GrayMatter Robotics, based in California, is a six-year-old company that has already worked across different defense, aerospace, and manufacturing sectors, in addition to having prior experience with the US Navy. But as Kabir made a point of highlighting, this will be the first time the company works directly with Huntington Ingalls Industries to bring autonomous robots into shipbuilding inside a shipyard. That detail matters because it shows that, despite the experience accumulated in other sectors, application in naval shipyards represents new territory with unique challenges of scale, complexity, and safety requirements.
The integration process will not be simple. Naval shipyards are notoriously difficult environments for automation. Military ships are enormous structures with complex and variable geometries, and each stage of construction requires specific adaptations. Unlike an automobile factory, where processes are highly standardized, shipbuilding involves an immense number of variables that make exact repetition practically impossible. That is precisely why Physical AI, with its ability to adapt in real time, is so promising for this context. 🚢
A strategy that goes beyond robotics
It is worth noting that HII is not putting all its eggs in the automation basket. Beyond exploring artificial intelligence and robotics technologies, the company is also pursuing other strategies to increase its production capacity. This includes strengthening its supply chain, partnerships with more than 20 smaller shipyards and manufacturing centers, and raising wages to attract workers from a network of vocational schools and apprenticeship programs.
This multifaceted approach makes sense. Technology alone does not solve every problem. Even with robots handling the heaviest tasks, there will still be a need for qualified professionals to supervise operations, maintain the systems, make engineering decisions, and ensure quality control. Automation does not completely replace the human element — it redistributes the effort, pulling people away from the most grueling and dangerous roles and directing them toward activities that require critical thinking and technical expertise.
The workforce training component, which is one of the four fronts of the partnership with GrayMatter Robotics, reinforces this vision. As robots enter the shipyards, workers need to learn how to operate, monitor, and collaborate with these machines. This creates a new category of professional skills that combines shipbuilding knowledge with technology competence — a profile that will be increasingly valued in the job market.
What this partnership means for the global shipbuilding industry
When a company the size of HII, responsible for building the US Navy’s aircraft carriers and nuclear submarines, decides to embrace autonomous robotics and Physical AI as part of its operational strategy, it sends a very clear signal to the rest of the global industry. This is not an experimental project running in a lab. It is a planned implementation for real shipyards, producing vessels that will make up the most powerful naval fleet in the world.
This partnership also paves the way for other shipyards and defense contractors to consider similar moves. As use cases accumulate and operational results become public, the competitive pressure to adopt automation solutions will grow naturally within the sector. Companies that take too long to invest in this transition may find it increasingly difficult to compete on efficiency, cost, and schedule with those already operating with robots integrated into their production process.
From a technological standpoint, this initiative also represents an important moment for the maturation of Physical AI in highly complex industrial environments. Every task that GrayMatter robots perform in a naval shipyard generates data that feeds the refinement of the artificial intelligence models responsible for their behavior. Over time, this creates a virtuous cycle of continuous learning, where the system becomes progressively more capable, more precise, and more autonomous.
The broader industry push toward automation in shipbuilding is part of a larger structural shift. It is about ramping up production, bridging the gaps between a shrinking skilled workforce and growing demand for ships, and making some of the most time-consuming and physically exhausting shipbuilding tasks easier and safer.
The combination of physical artificial intelligence, autonomous robotics, and the strategic urgency of the American shipbuilding industry has created the perfect conditions for one of the most concrete and impactful transformations the defense sector has seen in recent decades.
What is taking shape at HII’s shipyards is much more than a technological curiosity. It is a direct and pragmatic response to a problem that could no longer wait for conventional solutions. And if the year of demonstrations delivers the expected results, it will be hard to imagine a competitive naval shipyard in the next ten years that does not have autonomous robotic systems as a fundamental part of its operation.
