Iran has recovered an American autonomous undersea vehicle near the entrance to the Strait of Hormuz. The Dive-LD, built by Anduril, reportedly cost about $2.5 million. The Pentagon says the vehicle malfunctioned, drifted for more than a day and carried no classified sonar, radar or sensitive data. It was also an older model, which lowers the immediate intelligence value of the loss.
Iran still has a 19-foot American autonomous vehicle it can take apart.
Dive-LD can operate for as long as ten days and descend 6,000 meters. More than a cubic meter of its interior is available for payloads, with software, mechanical and electrical interfaces that let operators change sensors and mission equipment without redesigning the vehicle around them. The same hull can support intelligence collection, mine warfare, seabed work and other missions.
Iranian engineers can now inspect how that hull was actually built. They can pull apart the propulsion and power systems, look at cooling and pressure management, identify components and trace the physical connections between them. They can see how Anduril divided the internal volume and how it designed the payload interfaces. Many of the individual parts may already exist on the commercial market. The useful information lies in how engineers chose them, arranged them and made the whole thing work underwater for days at a time.
If the Pentagon builds the autonomous force it wants, this won't be the last American machine an adversary gets to examine.
Built to Be Risked
The Pentagon calls systems like Dive-LD “attritable,” a word close enough to “disposable” that the distinction can seem academic until someone has to decide whether to send one into danger. A cruise missile disappears by design. An attritable vehicle should come home and go out again, but losing one has to remain an acceptable outcome when the mission warrants it.
Price matters. Sending a $2.5 million unmanned vehicle toward a minefield or hostile coastline creates a different problem from exposing a submarine, aircraft or ship along with the crew aboard it. Removing the people, though, only solves part of the problem. A drone that costs nearly as much as the crewed platform it supplements and exists in similarly small numbers will still spend much of its life being protected as a scarce asset.
The larger ambition is numerical. Hundreds or thousands of aircraft, surface vessels and undersea vehicles can spread sensors and weapons across more territory, enter places commanders would hesitate to send people and keep operating as some of the machines disappear. The Pentagon has used the phrase “precise mass” for the idea, an attempt to recover quantity after decades in which the United States steadily exchanged numbers for increasingly capable individual platforms.
For a long time, that exchange worked. Better submarines, aircraft, satellites, sensors and precision weapons allowed American forces to do more with fewer ships and airplanes. China presents a different problem because its industrial base can support enormous quantities of ships, missiles and other military hardware.
Kathleen Hicks put the imbalance plainly when, as deputy defense secretary, she announced Replicator in August 2023. China had more ships, more missiles and more people. Replicator would add large numbers of autonomous systems around America's most capable platforms, giving commanders more sensors, more weapons and more pieces of hardware they could afford to lose.
The initial goal called for “multiple thousands” of autonomous systems within 18 to 24 months. Replicator concentrated first on All-Domain Attritable Autonomous systems, or ADA2. Hicks had a better description: “small, smart, cheap, and many.”
The Pentagon struggled with the last word. By the original August 2025 deadline it had fielded hundreds of systems rather than thousands, although thousands more were under contract and moving through production. Producing autonomous weapons by the thousand requires a procurement system and an industrial base built for that pace.
The Acquisition Clock
A major weapons program can spend more than a decade getting to its first operational capability. That timetable can make sense for a nuclear submarine or bomber expected to serve for decades. Autonomous systems carry processors, sensors and software that can move through several generations while a traditional program is still defining requirements and selecting contractors.
Anduril built much of its business around avoiding that sequence. The company identifies military problems, spends private capital developing hardware and brings products to the government after much of the engineering work has already happened. The Pentagon still has to test the machines, integrate them with existing forces and decide whether to buy them. Anduril and its investors have simply taken on more of the risk before the government writes the first large check.
This doesn't offer a universal model for defense procurement. Nobody is going to bootstrap a nuclear submarine program in a warehouse with venture capital. Submarines, stealth bombers and intercontinental missiles require specialized infrastructure, enormous engineering organizations and years of systems integration. Autonomous vehicles occupy friendlier ground for a company willing to build first and sell later.
Dive-LD followed that path. The Navy's Advanced Undersea Systems program worked with the Defense Innovation Unit to find commercial approaches to large-displacement unmanned underwater vehicles, eventually awarding prototype agreements to Anduril, Kongsberg Discovery and Oceaneering.
That puts real machines in the water before the government settles on a design for the next decade. Sailors can use them, discover what breaks and find shortcomings that don't appear in a presentation. Designs that work can move toward production while their electronics still belong to the current generation.
For autonomous systems, procurement time therefore ends up inside the performance calculation. A drone doesn't become useless because its processor is three years old, but the advantage of buying commercial technology erodes quickly if government purchasing takes long enough for the commercial market to move several generations ahead.
Getting to “Many”
Fast contracting doesn't create an attritable force if the factory can only build prototypes and small production runs.
Anduril announced a Rhode Island facility in 2024 designed to produce as many as 200 autonomous underwater vehicles each year. Arsenal-1, its much larger project in Ohio, calls for more than $900 million in planned investment and five million square feet of manufacturing space. The company says almost 90 percent of its products can be built primarily from commercially available components and materials.
Those numbers matter more to the attritable concept than the terminology does. Losing a $2.5 million vehicle looks manageable if another can come off the line behind it. The calculation changes when a specialized component has a two-year lead time or the entire fleet consists of a few dozen machines that the factory can't quickly replace.
For much of the post-Cold War period, the United States could lean heavily on technological superiority. A relatively small number of exceptionally capable weapons could accomplish an extraordinary amount, and the ability to manufacture replacements quickly didn't always sit at the center of force planning.
A war against another industrial power would put the production line back in the fight. A missile magazine that empties faster than factories can refill it has a hard limit. So does a drone program built around components that can't be supplied in volume. An autonomous vehicle that works beautifully in demonstrations but remains stuck between prototype and production never becomes mass.
Anduril has also tried to make the hardware less dependent on a single family of vehicles. Its Lattice software connects Anduril equipment and third-party systems, combines sensor information and gives operators a way to supervise autonomous systems across air, land and sea. If the software can coordinate a changing mix of platforms, commanders don't have to preserve one specific machine simply because the rest of the architecture depends on it.
Replicator took a similar approach at the department level. Rather than create one enormous autonomy program, spend years writing requirements and then choose a contractor to build it, the Pentagon looked for systems already emerging from the military services and private companies and accelerated the ones mature enough to use.
The first publicly disclosed tranche included AeroVironment's Switchblade 600 loitering munition along with maritime and aerial systems. Later tranches added more platforms and software for coordinating autonomous vehicles under contested conditions. The Pentagon considered hundreds of commercial companies; dozens received contracts, and 75 percent qualified as nontraditional defense contractors.
In June, the Air Force selected Anduril and General Atomics to produce its first Collaborative Combat Aircraft, autonomous aircraft intended to fly alongside crewed fighters. Anduril is no longer supplying only experimental systems at the edge of the force. It has started competing inside major aircraft programs.
A lost Dive-LD is easier to replace in that world because there are more factories, more suppliers and more machines. It also means the military will put many more machines into situations where replacement becomes necessary.
What Iran Gets
The logic works well enough from the commander's side. A $2.5 million unmanned vehicle can perform useful work in waters where sending sailors carries a much larger consequence. If the fleet owns enough of them, losing one doesn't derail the mission or gut the inventory.
Capture adds a cost that doesn't show up in the unit price.
Software can be protected. Encryption, secure boot, compartmentalized mission software, protected cryptographic keys and automatic zeroization can make a captured computer far less useful. Particularly sensitive sensors can stay ashore when the mission doesn't require them, and modular payloads limit what any single captured vehicle reveals about the rest of the fleet.
Iran doesn't need to defeat the encryption to learn from the machine in front of it. Engineers can measure the hull, cut it open and trace the propulsion system. They can examine batteries, cooling, seals, pressure management and internal support structures. They can see what Anduril considered worth spending weight on, where it accepted commercial components and how much volume each function consumed.
The value of that information is easy to underrate because none of it sounds exotic. Integration is often the hard part. Buying a battery, motor, processor or sensor doesn't tell an engineer how to package those components into a vehicle that can dive thousands of meters, operate for days and leave enough internal space for useful military payloads. An intact vehicle answers some of those questions directly.
Iran has tried this before. After recovering an American RQ-170 Sentinel in 2011, Tehran spent years displaying aircraft it said drew from the captured design. Analysts still dispute how much later Iranian hardware actually incorporated American technology from the RQ-170. Iran's effort to study and reproduce elements of the aircraft isn't seriously in doubt.
Autonomous warfare creates many more opportunities for that kind of exploitation because the machines have to operate where they can be lost. The same force design that makes commanders more comfortable risking them also produces more crashes, breakdowns, navigation errors and recoveries by whoever happens to reach the wreck first.
Designing for Capture
Engineers can make the next captured vehicle less useful than the last one. They can protect keys and storage, isolate mission software, add anti-tamper systems and move sensitive capabilities into interchangeable payloads. Mission planners can leave a particular sensor behind when the intelligence risk exceeds the value it would add.
Every protective measure has to fit inside the same hull. Anti-tamper equipment uses weight and space. Additional security costs money and engineering time. Better sensors make the vehicle more useful to the United States and more interesting to whoever recovers it. More onboard computing helps the vehicle navigate and make decisions after communications fail or someone starts jamming them, which also puts more capable computing hardware inside a machine that may someday sit in a foreign laboratory.
This is where the economics of attrition start imposing their own discipline. Add enough specialized protection and exquisite hardware and the cheap autonomous vehicle starts moving toward the cost and complexity that the concept was meant to escape.
A force with a few extraordinarily expensive systems can spend extraordinary amounts protecting each one. A force with thousands of autonomous vehicles has to accept more mundane failures. Motors break. Communications disappear. Vehicles run aground, drift, surface in the wrong place or never return.
According to the Pentagon, this Dive-LD drifted for more than a day before Iran recovered it. As the autonomous fleet grows, the Navy and the rest of the military will have to assume that some lost vehicles won't remain lost for long. The practical design question is how much an adversary can learn when one of them ends up on a workbench.