After ANDURIL, who now controls American military innovation?

In just a few years, Anduril Industries, a startup founded by Palmer Luckey, has been reshaping the lines of American military innovation. Moving away from a model structured around large industrial programs, the sector is evolving towards software architectures that are faster to design and more agile in their deployment.

Long perceived as an exception, Anduril is seeing new players follow in its path, starting with Shield AI, which has just announced a $2 billion funding round with a valuation of $12.7 billion.

This funding round, led in particular by Advent International with the support of JPMorgan, also signals an increase in capital being deployed in defense, now at the intersection of venture capital, private equity, and systemic finance.

The question is no longer just about the emergence of new players, but about where military innovation is now situated: in the physical platforms or in the software architectures that control them?

For Shield AI, the answer revolves around Hivemind, an autonomy system designed to operate without GPS or communications. The drones V-BAT or the X-BAT project are the visible vectors, but the value lies in the software, designed to be deployed on third-party systems. It is no longer just the equipment that structures the operations, but the systems that orchestrate them.

The acquisition of Aechelon Technology extends this logic, by internalizing advanced simulation capabilities, Shield AI strengthens its control over the training of its systems. In an environment where real data is limited, simulation becomes a central lever, serving not only to test, but to create the necessary learning conditions.

Around these players, a larger ecosystem is emerging, with Palantir Technologies holding a key position in data and command layers, while other companies work on data preparation or associated infrastructures. Gradually, a coherent value chain is being established, from sensor to decision-making.

This restructuring is not limited to the emergence of new entrants, but also redefines the role of historical industrial players. Companies like Lockheed Martin, Northrop Grumman, or RTX Corporation maintain a central position in complex systems, production, and integration, but their control over the entire chain is beginning to erode.

Faced with more modular architectures, some critical pieces (software, autonomy, simulation) are partially slipping away from the industrial players. The companies are adapting by developing their own capabilities, forging partnerships, or making acquisitions, but this evolution is constrained by organizations designed for long cycles, not aligned with software logics.

This results in a hybrid configuration, where historical players retain control over physical platforms, while new players position themselves in the software and decision-making layers. Production remains essential, but system control, and therefore a portion of strategic control, is changing camps.

In this context, the prospect of a new round of funding for Anduril is closely watched, as the startup has already received over $6.4 billion in financing. It could confirm the visible trend where American military innovation is no longer solely structured around industrial capabilities, but at the intersection of software, capital, and strategy. The question remains whether this evolution will lead to a concentration around a few dominant platforms or to a sustainable coexistence between old and new players.

What the American case suggests for Europe

First lesson: value is shifting towards software architectures. Physical systems remain important, but value, and some control, are now concentrated in the architectures that control, train, and interconnect them.

Second lesson: innovation is organized at the intersection of public and private. States retain control over usage, but delegate an increasing portion of the design to technological actors, financed by hybrid capital. This articulation redefines the traditional decision-making circuits.

Third lesson: speed becomes a strategic factor. Shortened development cycles, modular architectures, rapid iterations: elements that contrast with historically dominant long program logics.

Fourth lesson: the platform logic is gradually imposing itself. Beyond products, it is complete environments (software, data, simulation) that structure the ecosystem, with potential standardization effects.

For Europe, these elements raise less the question of catching up than that of making choices. Integrating these evolutions requires adapting financing methods, facilitating bridges between industrial and technological actors, and recognizing the structuring role of software in the value chain.