The defense industrial base faces war-related demand, strategic megaprojects and supply-chain disruption
The U.S. defense industrial base is under pressure from several directions at once. Military stockpiles are being depleted by equipment and munitions expenditures in the conflict with Iran, major initiatives such as Golden Dome require highly specialized materials and components, and persistent supply-chain problems threaten to slow down all of these efforts.
“The reality we are facing is that the traditional way of building military platforms — where it can take years, and sometimes even a decade, to move a system from a concept on a whiteboard to operational deployment — has become a strategic vulnerability,” said Ana Garcia Olson, managing director and Navy and Marine Corps business lead at Accenture Federal Services.
To accelerate design, development and manufacturing, the defense industry is seeking new tools. Artificial intelligence is emerging as one of the most promising options because it can automate processes, streamline workflows and analyze massive volumes of data to support better decisions.
Production capacity remains the central bottleneck
“When you look at the immediate constraints, the problem almost always comes down to capacity,” said Amy Bahrani, managing director for AI and data and defense industrial base lead at the same company.
According to Bahrani, the industry is being squeezed simultaneously by shortages of materials, production space and skilled workers. Overcoming these obstacles requires the defense industrial base to stop treating itself as merely a reactive or passive supply-chain function.
The digital defense industrial base
AI accelerates design and testing
Processes such as digital twins, computer modeling and robotic automation are not new to the defense industry. What is changing is the way artificial intelligence enables those tools to operate faster and more effectively.
Engineers and designers can identify flaws in a system and correct them in a virtual environment instead of rebuilding a physical component after every modification. Once the optimal configuration has been established, the product can be manufactured and tested in the real world.
“When you can securely share data across domains and run high-performance simulations, you unlock the ability to field advanced military technology at commercial speed and industrial scale,” Bahrani said.
Data must be shared securely and quickly
Putting these capabilities into practice requires secure, cloud-based data infrastructure. Information must be accessible and transferable between design centers, production facilities and teams working on the same systems.
Data loses much of its value if it cannot be accessed. Everyone involved must work from the same updated and verified source of information.
Artificial intelligence, however, cannot fully replace human judgment. People must review the results, make final decisions and determine whether the information generated is accurate, practical and relevant. AI models depend on the quality of the data they receive, and human oversight is needed throughout the process — not only at the end.
“It is not enough to drop information into data lakes or insert a human into isolated points of a legacy process. The most effective AI-powered operations are redesigned from the ground up, with humans at the center,” Olson said.
Supply chains must be rebuilt
Military demand is exceeding delivery capacity
Supply chains are only as strong as their weakest link. Recent years have repeatedly demonstrated this reality through shortages of rare-earth minerals, semiconductors and personnel, as well as logistical disruptions such as difficulties accessing the Strait of Hormuz.
Military support for Ukraine and the consumption of munitions in the conflict with Iran have placed additional pressure on manufacturers. Meeting current and future requirements will require more than increasing ammunition production. The defense sector must also expand its ability to source the materials and components needed to build air-and-missile-defense interceptors.
Component shortages and rising costs are making the situation even more difficult. Expanding industrial capacity requires major investments in factories as well as in the procurement of essential raw materials.
Three causes of the widening demand-delivery gap
A recent Accenture analysis identified three principal reasons for the growing gap between demand and delivery:
- supply chains built for peacetime conditions are buckling under sudden increases in demand;
- military requirements, including autonomy and counter-drone capabilities, are evolving faster than industrial processes can adapt;
- order volumes are exceeding current delivery capacity across the major categories of defense systems.
Supplier consolidation and the entry of new competitors into the defense market are adding further risk. In some cases, a single company or a small group of suppliers must provide components for several major products and defense manufacturers, creating serious bottlenecks.
AI can help anticipate disruptions
Artificial intelligence can strengthen supply chains by mapping the movement of materials and components, identifying vulnerable points and locating alternative suppliers.
Early detection of a potential disruption allows companies to prevent it or reduce its impact before production is halted. In this way, AI becomes a prevention tool rather than merely a mechanism for responding to problems after they occur.
The human factor remains decisive
The industry needs digitally prepared workers
Although AI can take over a significant share of routine tasks, people will continue to play a central role in every stage of the defense industrial base. However, the way employees perform their jobs will change, and the industry will need new skill sets.
Familiarity with digital tools is becoming essential. Companies must rethink training for design and manufacturing positions and prepare workers for an industrial environment in which the use of artificial intelligence will continue to expand.
In some cases, organizations must adapt to the digital capabilities of new employees rather than forcing them to work with outdated tools.
“The younger generation entering the workforce grew up in a real-time data environment. If they step onto a submarine or a shipyard floor and cannot access even basic information, their potential is being wasted,” Olson said.
AI assistance can keep production moving
Workers who have used tablets and smartphones throughout their lives can often learn more quickly how to use digital tools in manufacturing and design environments. To take advantage of that strength, companies must provide intuitive systems and accessible information instead of relying exclusively on traditional training methods and paper-based documentation.
If a technician encounters an unfamiliar error code on an assembly line, production should not have to stop while the worker searches for a supervisor. AI-powered systems can process procedures, manuals and technical blueprints in real time, quickly presenting the precise solution needed to correct the problem.
The strategic stakes
The defense industry must become faster and more adaptable
The defense industrial base has reached a critical point. Demand is changing rapidly, new technologies are disrupting established processes and an increasing number of competitors are entering the market.
To meet these challenges, companies must adopt artificial intelligence and other technologies capable of accelerating production, reducing waste and increasing operational flexibility. The success of this transformation will determine whether U.S. warfighters receive the equipment they need not only today, but also in an increasingly dynamic strategic environment.
“Government and industry must transform their own operations into an ‘Intelligent Enterprise’ so they can collectively support a true ‘National Enterprise,’” Bahrani said.
That transformation requires end-to-end data integration across the entire product life cycle — from initial ideas and design to engineering, manufacturing and field maintenance — supported by artificial intelligence systems capable of operating autonomously within controlled limits.
