The effort to modernize the American maritime industrial base has taken a significant leap toward automation. HII, the nation’s largest shipbuilder, has entered into a memorandum of understanding (MOU) with GrayMatter Robotics to integrate Physical AI into shipbuilding operations, targeting both manned and unmanned vessels.
The partnership, formalized during a ceremony at GrayMatter Robotics’ headquarters in Carson, California, focuses on automating some of the most repetitive and labor-intensive stages of naval fabrication. By deploying autonomous systems for surface preparation, coating, and inspection, the two companies aim to accelerate production timelines and increase overall throughput for the U.S. Navy.
For those of us who have spent time in software engineering, the shift from generative AI—which lives in a cloud—to “Physical AI” is the real story here. This technology doesn’t just process data; it manipulates the physical world in real-time, adapting to the high variability of a shipyard where no two hulls are identical. This integration is a central piece of HII’s broader High-Yield Production Robotics (HYPR) initiative.
Closing the Gap Between Demand and Capacity
The urgency behind this partnership is driven by a need to scale production rapidly. HII reported a shipbuilding throughput increase of 14% in 2025, and the company is now targeting an additional 15% increase for 2026.
“We are in the midst of an American shipbuilding renaissance and we are extremely excited to partner with GrayMatter Robotics to explore incorporating their state-of-the-art physical AI models into our shipbuilding operations,” said Eric Chewning, HII’s executive vice president of maritime systems and corporate strategy. Chewning noted that the partnership has the potential to increase efficiency “without sacrificing quality.”
The collaboration will prioritize four key operational areas:
- The development of autonomous shipbuilding capabilities.
- The integration of GrayMatter technologies with existing shipbuilding tech initiatives.
- Workforce training designed to extend the reach of automation.
- The acceleration and scaling of production for unmanned systems.
The Technical Edge: Factory SuperIntelligence
GrayMatter Robotics describes its approach as “Factory SuperIntelligence.” Unlike traditional industrial robots that follow a rigid, pre-programmed path, Physical AI can adapt to “high-mix” environments. In a shipyard, this means the robot can handle tasks like sanding, grinding, blasting, and coating whereas adjusting for the unique contours and variances of a ship’s structure.
The performance claims are substantial. GrayMatter Robotics asserts that its systems can deliver up to 12x the throughput of skilled manual labor while achieving a 95% reduction in rework. For a shipbuilder, reducing rework is critical; eliminating scrap and repair not only saves material but prevents costly bottlenecks in the production line.
From a cybersecurity perspective, the architecture is built for defense. The systems utilize an air-gapped, edge-deployed architecture, ensuring that sensitive production data remains sovereign and protected from external networks—a non-negotiable requirement for U.S. Navy shipbuilding production.
Augmenting the Skilled Workforce
A recurring theme in this partnership is the concept of “augmentation” rather than replacement. Shipbuilding remains a craft that relies heavily on time-honored craftsmanship and highly skilled labor. However, tasks such as sandblasting and coating are not only repetitive but can be hazardous to human health.
By delegating these specific, high-variability tasks to AI-driven robots, HII aims to reduce the burden of repetitive work on its 44,000-strong workforce. This allows human shipbuilders to focus on the more complex assembly and integration tasks that require high-level problem-solving and expertise.
Ariyan Kabir, CEO and co-founder of GrayMatter Robotics, emphasized the strategic necessity of this speed. “We are partnering with HII to solve tricky problems. We will push to drive down delivery time, build our arsenal, build the essential components for our war fighters, and we have to do this very, very quickly,” Kabir said. He added that bridging the gap between demand and capacity is of “utmost importance.”
Comparative Impact of Physical AI in Shipbuilding
| Metric | Manual Labor Baseline | Physical AI Potential |
|---|---|---|
| Production Throughput | Standard Baseline | Up to 12x Increase |
| Rework Rate | Standard Industry Rate | 95% Reduction |
| Data Security | Standard Networked | Air-gapped / Edge-deployed |
| Task Focus | Manual Repetition | Autonomous Execution |
National Security and the Unmanned Future
The integration of Physical AI extends beyond the construction of traditional aircraft carriers and submarines. HII is currently the world’s largest producer of unmanned underwater vehicles (UUVs), and this partnership is designed to scale the production of these autonomous systems.
As the Navy shifts toward a more distributed maritime force, the ability to rapidly iterate and produce unmanned surface and underwater vessels becomes a strategic advantage. The apply of AI to build AI-driven ships creates a feedback loop where the manufacturing process itself becomes as agile as the vessels it produces.
The next phase of this partnership will involve identifying specific integration points within HII’s facilities to move these technologies from the demonstration phase into active production lines. Official updates on the deployment of these systems are expected as HII works toward its 2026 throughput targets.
Do you think Physical AI will redefine the future of heavy industry, or will the human element always be indispensable in shipbuilding? Share your thoughts in the comments below.
