RUSI (Royal United Services Institute) published a commentary on 6 March arguing that the binding constraint on attritable mass is not production but manpower. Legacy drone systems require 150 to 200 personnel each, including pilots and maintainers, and Ukraine still operates most front-line drones one-to-one. Software must update every six to twelve weeks to keep pace with adversary countermeasures. The commentary proposes open architectures, integration-speed contracts, and mandatory day-one surge manufacturing capacity.
Those proposals bear directly on whether the Berlin package can produce combat-effective mass. Skyhammer's May delivery schedule will be the first test of whether the procurement side can move; the RUSI analysis says the doctrine side is further behind. The Strategic Defence Review's 20-40-40 force-mix target, splitting capability between traditional, attritable and autonomous tiers, cannot be met on current personnel ratios without either doctrinal change or a dramatic drop in personnel-per-system demand.
The six-to-twelve-week software update cadence is the most operationally specific element of the commentary and the one that most directly pressures contracting. Conventional MoD procurement timelines assume stable configurations over multi-year support contracts, which is incompatible with adversary electronic-warfare evolution. RUSI argues this requires integration-speed contracts, meaning awards tied to the ability to push updates within weeks rather than years, and the open architectures that make such updates possible across a multi-vendor fleet.
The commentary is quiet on one thing worth naming: the manpower ratio argument is also the strongest argument for accelerated autonomy, because the only sustainable way to break the 150-200 personnel-per-system baseline is to give each operator many more airframes to supervise rather than to fly. That is the one-to-many doctrine the title names, and the evidence base that can move it from commentary to doctrine will come from whichever force first demonstrates it at scale.
