America’s special operations forces have always operated in the shadows — small, elite teams projecting outsized effect far behind enemy lines with minimal footprint and maximum precision. That founding philosophy is not changing. But the tools those operators carry, the systems watching over them, and the intelligence feeding their commanders are undergoing one of the most significant transformations in the history of U.S. Special Operations Command. Artificial intelligence is no longer a future consideration for USSOCOM. It is already reshaping how the force fights — and the FY2027 budget makes clear that the pace of that transformation is only accelerating.
AI at the Tip of the Spear
US Special Operations Command (USSOCOM) has been deploying AI tools and autonomous systems for some time now, but the scope of that effort is broadening considerably. Speaking at the SOF Week 2026 exhibition held last week in Tampa, Florida — the premier annual gathering of the global special operations community — USSOCOM acquisition executive Melissa A. Johnson laid out the command’s intent in direct terms.
The ambition, she explained, is to leverage AI “not just in new systems, but even integrating it into legacy systems.” That distinction is important. When most people imagine AI entering the military, they picture sleek next-generation platforms built from the ground up with artificial intelligence embedded from the start. The reality of modernising a large, complex force is messier and more interesting than that. A significant portion of USSOCOM’s toolkit consists of systems acquired years or even decades ago — aircraft, sensors, communications equipment, ground vehicles — that cannot simply be retired and replaced overnight. Integrating AI into those existing platforms, extending their usefulness and effectiveness without requiring wholesale replacement, is one of the command’s stated priorities.
Johnson was equally clear about the operational context driving these investments. “We need to make sure that those [in-service capabilities] are modernised, not only to provide both kinetic and non-kinetic effects, but that they are survivable in highly contested environments.” That last phrase — survivable in highly contested environments — speaks directly to the threat landscape that special operations planners are now grappling with, one shaped by sophisticated adversary air defences, electronic warfare capabilities, and the proliferation of inexpensive but effective unmanned systems.
Speed, Decisions, and the Value of Optionality
One of AI’s most concrete and immediately valuable contributions to special operations is not about weapons or platforms. It is about time.
Captain James L. Clark, Commander of Task Force ABLE — a specialised SOF unit embedded within the U.S. Navy’s Naval Special Warfare Command — addressed the SOF Week 2026 audience on exactly this point, framing it with striking clarity.
“Speed is relevant to decision-makers,” Clark told the audience. “If you can buy a decision-maker an hour, two hours, a day, a week, you have provided them with optionality, and that is what senior leadership is always looking for.”
The word “optionality” deserves unpacking. In military planning, having options means having the ability to choose between multiple courses of action rather than being forced into a single reactive response. A commander who receives accurate intelligence twelve hours before a decision point has options — to strike, to wait, to redirect forces, to gather more information. A commander receiving the same intelligence with thirty minutes to respond is effectively boxed in. AI, by accelerating the processing of raw data into usable intelligence, by identifying patterns that human analysts working under time pressure would miss, and by compressing the analytical cycle from hours to minutes, is fundamentally in the business of manufacturing optionality for decision-makers. That framing makes the value proposition immediately legible to anyone who has faced a time-critical decision.
This cognitive offloading function — reducing the mental burden on both operators and commanders so that human judgment can be applied where it matters most — is one of AI’s most significant operational contributions. In complex, fast-moving tactical situations, human cognitive bandwidth is a finite and precious resource. AI tools that handle data fusion, pattern recognition, and preliminary assessment allow the humans in the loop to focus on the decisions that genuinely require human judgment, rather than drowning in the processing work that machines can do faster and more reliably.
For Major General (Ret.) Clay Hutmacher, currently an adviser at Primer Technologies, the command’s relationship with AI is best understood not as a destination but as a process. “You are going to continue to improve on that,” he said — a perspective that cuts against the idea that there is some finished, deployable AI system waiting at the end of a development program. The technology, and the operational understanding of how to use it, evolve continuously.
Learning from Ukraine: The Low-Cost, High-Volume Revolution
If there is a single external reference point that has most profoundly shaped USSOCOM’s current procurement thinking, it is the ongoing conflict in Ukraine. Captain Clark acknowledged this explicitly at SOF Week 2026: “What we are trying to do is build different systems that will allow us to be able to fight in a way that we are seeing play out between Ukraine and Russia.”
Ukraine has functioned as an accelerated, real-world laboratory for the kinds of capabilities USSOCOM is now prioritising — autonomous drones, electronic warfare, AI-enabled targeting, counter-UAS systems, and the use of inexpensive attritable platforms to extend the reach and lethality of small forces operating against a larger, better-equipped adversary. The lessons have not been subtle.
Bryan Bockmon, CEO of AimLock — a U.S.-based supplier of AI-powered targeting and engagement systems — told Shephard Media that the conflicts in Ukraine and the Middle East have created a decisive shift in demand across global military services. “The low-cost, high-volume solutions are absolutely dominating everything right now. It is an economic driver, a technology driver and a capacity driver,” he said.
The economics Bockmon is describing are the same cost-exchange dynamics that have frustrated conventional air defence planners: cheap, mass-produced systems being used to saturate, attrit, and degrade expensive, limited-inventory capabilities. The difference is that USSOCOM is not simply trying to defend against that dynamic — it is trying to adopt it offensively as well, fielding its own low-cost, high-volume attritable systems that can project effect at scale without requiring proportionally expensive platforms or personnel.
“Systems and products that have been available for years are now being drawn into immediate action,” Bockmon added — reflecting the broader pattern visible across the defence industry, where technologies that existed in demonstration or limited-use form are suddenly in urgent operational demand.
The FY2027 Budget: Building an Autonomous Warfare Ecosystem
USSOCOM’s Fiscal Year 2027 budget request, totalling nearly $6 billion for intelligence, combat development, cyber, and operational support, does not include a standalone dedicated AI funding line. That is a deliberate reflection of how AI has been embedded across the command’s portfolio rather than siloed as a separate programme. The funding effectively supports a wide range of AI, autonomy, and human-machine teaming efforts distributed throughout the command’s activities.
What makes the FY2027 request particularly notable is what it signals about USSOCOM’s strategic direction — a shift, as analysts have noted, from simply buying drones to building an autonomous warfare ecosystem specifically tailored for the unique operational requirements of Special Operations Forces. This is a meaningful distinction. Procurement of individual platforms — a drone here, a sensor there — is a transactional approach that yields capable tools but not necessarily an integrated capability. What USSOCOM is pursuing is something more coherent: an interconnected system of systems, designed from the outset to work together, share data, and function under the specific constraints and conditions of SOF operations.
Multi-Mission Tactical Unmanned Aerial Systems (MTUAS)
The budget continues funding the Multi-Mission Tactical Unmanned Aerial Systems (MTUAS) programme, which covers the acquisition and development of aerial, ground, and maritime robotic capabilities across a range of missions — reconnaissance, logistics support, electronic warfare, and precision strike. The programme funds air vehicles, payloads, ground control stations, training systems, and mission kits, providing the building blocks for a versatile unmanned fleet that can be configured for different operational requirements.
Alongside MTUAS, the budget supports the modernisation of the Group 4 MQ-1C Gray Eagle and the Group 3 ScanEagle UAV platforms — both well-established systems with proven operational records that are being upgraded to remain relevant in an increasingly contested environment. The command is also pursuing expendable drones — low-cost, one-way or short-life platforms that can be expended without the operational and economic cost of losing a major asset — though specific models have not been publicly named.
Swarm Carriers and the MQ-9 as a Mothership
One of the most operationally interesting elements of the FY2027 plan is the pursuit of Group 3 signature-managed systems and swarm carrier platforms. The swarm carrier concept involves transforming the MQ-9 Reaper — already a mature and capable unmanned aircraft with deep operational history in special operations — into a drone mothership: a platform that can carry, launch, and control smaller unmanned systems while airborne.
This concept multiplies the effective reach of each MQ-9 sortie. Rather than a single large platform conducting a single type of mission, a mothership-configured MQ-9 could deploy a swarm of smaller, specialised drones to conduct simultaneous reconnaissance, electronic warfare, or strike missions across a wider area than any single platform could cover alone. It is a force multiplier at the platform level — and it reflects the broader shift toward distributed, networked unmanned architectures that is reshaping military thinking across every domain.
Operating in the Dark: AI for DDIL Environments
One of the most technically demanding operational scenarios for special operations forces is the DDIL environment — communications that are Disrupted, Degraded, Intermittent, or operating on Low Bandwidth. In practice, this means operating in areas where adversaries are actively jamming radio and satellite communications, where the electromagnetic environment is so contested that reliable links back to higher command cannot be assumed, and where autonomous systems must be capable of executing their assigned tasks without continuous human guidance.
This is a fundamentally different and more difficult problem than autonomous operation in a permissive communications environment. An autonomous drone that requires constant satellite uplink to function is useless in a heavily jammed environment. USSOCOM’s FY2027 request allocates funds specifically to advance onboard computing and AI tools designed to function under these degraded conditions — systems capable of making local decisions, maintaining mission continuity, and coordinating with other platforms even when external communication links are absent or unreliable.
The Mission Command System / Common Operational Picture
Central to this effort is the Mission Command System / Common Operational Picture (MCS/COP), designated Programme Number 841. This is a software-defined situational awareness platform designed to provide SOF commanders with a shared, near-real-time common operational picture — an integrated view of the intelligence and operational environment — across all domains simultaneously: air, land, maritime, cyber, and space.
The MCS/COP is not simply a map with icons. It is a data integration layer that fuses inputs from multiple sensors and intelligence sources into a coherent, actionable picture accessible to commanders at tactical, operational, and strategic levels. As USSOCOM’s own budget justification documents state, it “delivers a near real-time common operational picture for understanding of the intelligence and operational environment and support decision-making.”
In FY2026, the focus for MCS/COP is on specific integration and data transport into the Joint Fires Network — connecting the system to the broader architecture through which fires are coordinated and deconflicted. In FY2027, the programme advances to procuring additional equipment to increase processing power, enabling data-rich sensor integration and autonomous vehicle command-and-control applications. Critically, it will also fund advancements in generative AI enablement and data transport across the mesh network — incorporating the latest generation of AI-driven analysis and synthesis tools into the operational picture.
Small Uncrewed Multidomain Systems and GPS-Denied Navigation
Also in FY2027, USSOCOM intends to progress with the acquisition of small uncrewed multidomain systems (sUMS) and a microvisual positioning capability — a technology that allows platforms to navigate accurately in environments where GPS signals are blocked, jammed, or unreliable. GPS denial is one of the most commonly employed adversary countermeasures, and the ability to maintain precise navigation and autonomous operation without GPS is a critical enabler for SOF missions deep in contested territory. Microvisual positioning uses visual cues from the environment — terrain features, landmarks, structural details — combined with onboard processing to maintain positional awareness independently of external signals.
The “Super Soldier” Doctrine: AI for Human Performance
USSOCOM’s AI investment is not exclusively focused on machines and software. The command has made explicit its intention to use artificial intelligence to enhance the performance, readiness, and survivability of the human operators at the core of its mission.
Acquisition executive Melissa Johnson was direct about the underlying philosophy: “The human is more important than the hardware.” For USSOCOM, which has always placed an extraordinary premium on the quality of its individual operators — investing years and enormous resources in selection, training, and development — this is more than a rhetorical point. It reflects a genuine institutional belief that the most important asset the command fields walks on two legs.
The FY2027 budget supports the deepening use of AI in personnel preparation and training, with USSOCOM’s justification papers stating: “Future technology development will focus on creating artificial intelligence prototypes for scenario preparation and object control, streamlining mission planning and increasing adaptability for complex training scenarios.” The documents add that these improvements “enhance training realism, operational readiness and mission success while reducing risks and costs associated with live flight training.”
Colonel Amanda Robbins, USSOCOM’s command psychologist and clinical psychology consultant to the Army Surgeon General, addressed the human performance dimension at SOF Week 2026, describing how AI can enhance individual warfighter performance by providing and analysing training and health data. The system improves diagnostics, enables earlier identification of potential health issues, and gets operators access to appropriate treatment sooner. The practical effect, as Robbins framed it with characteristic directness: “That guy gets back on the line faster.”
This dimension of AI application — accelerating human recovery, optimising individual performance, and sustaining the readiness of an operator pool that takes years to develop — may lack the drama of autonomous strike systems, but it addresses a real and persistent operational challenge. Elite special operations operators are extraordinarily expensive to train and difficult to replace. Anything that extends their effective careers, shortens their recovery from injury, and keeps them mission-ready longer has direct operational value.
What Industry Sees: Capability Gaps and Market Opportunities
The SOF Week forum brought together not just military leaders but the companies building the technologies USSOCOM is pursuing. Several industry representatives offered perspectives on where they see unfilled capability gaps — and where they are investing to fill them.
Todd Greene, Director of Advanced Technologies at BlackSea — a Maryland-based robotic maritime systems supplier — identified medium uncrewed surface vessels as an area of emerging operational need. “We see opportunities coming. We see a space in the market where [medium uncrewed surface vessels] fill a mission need,” he told Shephard. Maritime autonomous systems have been a growing area of interest across U.S. special operations, with applications ranging from intelligence gathering and hydrographic surveying to logistics support and, potentially, direct action missions in coastal and littoral environments.
Brett Melancon, Chief Solutions Architect at Anduril Industries — one of the most prominent defence technology companies of the current era, founded specifically to bring Silicon Valley-style development speed to defence applications — flagged DDIL networking and connectivity as a key area for improvement. “We foresee that we can reduce the amount of resources that are required [in deployments in DDIL scenarios],” Melancon told Shephard. “We can dial in [SOF teams’] use cases, in their resource constraints, in the core customer set needs, and we can build it out completely from end to end.”
The ability to build coherent, end-to-end communication and networking solutions for environments where conventional communications infrastructure cannot be relied upon is exactly the kind of capability that SOF commanders need. Small teams operating without reliable uplink need systems that are robust to communications degradation, capable of intelligent local operation, and able to maintain coordination with other elements of the force through mesh networking and other resilient architectures.
Perhaps the most striking call for closer partnership came from the submarine community. Captain (Ret.) Eric Jabs, Strategic Integrator for the Commander, Submarine Forces (COMSUBFOR) at the Naval Sea Systems Command Warfare Centre, made a direct appeal from the SOF Week panel stage: “There are opportunities that we, at SUBFOR, really want industry support right now.” His call included specific areas: tactical and airborne mission networking, and alternative Positioning, Navigation, and Timing (PNT) technologies — the latter being a direct response to the GPS vulnerability problem that has become increasingly visible as adversaries invest in jamming and spoofing capabilities.
A Force Transforming Itself
The picture that emerges from SOF Week 2026 and the FY2027 budget documents is of a command engaged in a deliberate and accelerating transformation — one that is not simply adding new tools to an unchanged operational model, but genuinely rethinking how special operations forces will fight in the decade ahead.
The lessons of Ukraine have been absorbed and are being applied. The proliferation of low-cost, high-volume autonomous systems has been recognised not just as a threat to be defended against but as a model to be adopted. The cognitive and physical enhancement of the human operator is being pursued with the same rigour previously applied to platform acquisition. And the infrastructure that makes all of this work — resilient communications, shared situational awareness, AI-curated intelligence — is being built out with a seriousness of purpose that reflects genuine institutional urgency.
The operational environment that USSOCOM’s forces will face in the coming years is one defined by sophisticated electronic warfare, contested communications, capable adversary drone fleets, and the near-impossibility of surprise against a peer or near-peer opponent with persistent surveillance capabilities. Navigating that environment successfully will require exactly the combination of AI-enabled decision acceleration, autonomous platform support, and enhanced human performance that USSOCOM is now systematically building.
Final Thoughts
Special operations forces have always depended on being smarter, faster, and better prepared than their adversaries. The tools change; the underlying logic does not. What USSOCOM is investing in with its AI and autonomy programmes is, at its core, an attempt to preserve and extend that fundamental advantage into an era when adversaries have access to more capable technology than at any previous point in history.
The FY2027 budget is not the completion of that effort. As Major General Hutmacher noted, it is a journey without a destination — a continuous process of improvement and adaptation. But the direction is clear, the funding is committed, and the operational urgency is real. America’s special operators are getting smarter, more networked, and increasingly supported by machines that can see, process, and respond faster than any human. For adversaries who might have to face them, that combination should be a genuinely sobering prospect.
