Military-Led Approaches to Technology Implementation

A Navy officer just built a fully functional flight planning application in three and a half hours using AI - a task that traditionally takes weeks and costs millions through conventional procurement. This isn't just about speed. It represents a fundamental shift from high-stakes, single-bet acquisition to rapid portfolio prototyping. Instead of spending months debating the perfect solution, programme managers can now test multiple approaches in days, using real performance data to guide decisions rather than optimistic presentations. The implications extend far beyond individual applications. Traditional defence contractors face disruption as the barriers to software development collapse. Meanwhile, militaries that master AI-powered development will gain decisive advantages in future conflicts. The author, who's built over 60 applications for the Navy, emphasises three critical enablers: using AI for non-safety-critical prototyping today, building secure software enclaves within existing platforms, and developing cyber testing infrastructure that maintains security whilst enabling speed. Perhaps most importantly, he warns that future AI models will likely achieve in days what currently takes years - integrating weapons onto legacy platforms, developing autonomous systems, and refactoring safety-critical code. Programme offices without AI experience today won't be prepared for tomorrow's capabilities. The strategic message is clear: the window for adaptation is open, but it won't remain so indefinitely. The military that embraces AI-powered development first will shape the future battlefield. #DefenceTech #MilitaryAI

With the holiday, had the opportunity to review the newly released U.S. Marine Corps Artificial Intelligence Implementation Plan (NAVMC 3000.1, Version 1.0 for FY 2025-2030). As someone who deeply values structured approaches to complex challenges – a big fan of the principles in "Flawless Execution" – this document immediately resonated. It’s a significant roadmap outlining how the USMC intends to harness AI to enhance decision advantage and operational effectiveness. What's truly striking is the methodical and comprehensive execution strategy the Marine Corps is laying out. This is a deliberate, multi-faceted plan addressing the critical pillars needed for successful AI integration, reminiscent of the discipline needed for high-stakes operations. The explicit focus on "Data as the Foundation for AI" (Section 3.2) – underscoring data lifecycle management, quality, governance, and robust architecture – is fundamental. Just like reliable intelligence, good data is non-negotiable for AI success, a principle we at Cognitive Corp champion daily. The strong emphasis on developing an "AI Competent Workforce" (Goal 2), including foundational training and talent modernization, is crucial. Success hinges on people being prepared and confident. Goal 4, AI Governance, and the consistent focus on Responsible AI principles underscore a commitment to safe, secure, and ethical deployment. This disciplined approach is paramount. The plan for a Digital Transformation Pilot Project (Appendix A) using Digital Transformation Teams (DXTs) to drive initial implementation, gather insights, and ensure solutions are fit-for-purpose, embodies that iterative, learning-focused execution model. This document tackles the very areas we focus on with our clients at Cognitive Corp: building the right strategy, ensuring data readiness, empowering the workforce, establishing robust governance, and, ultimately, achieving measurable results. The structured, "leave no stone unturned" approach feels like a playbook many organizations, civilian and military, could learn from as they embark on their own AI journeys. Highly recommend a read for anyone involved in AI strategy, implementation, or complex program management. The discipline is palpable. Kudos to the U.S. Marine Corps, LtGen Melvin G. Carter, Capt Christopher D. Clark, and Dr. Colin Crosby for this impressive and transparent roadmap. What are your initial takeaways from this plan, particularly in how it approaches execution? #USMC #AI #ArtificialIntelligence #MilitaryAI #DigitalTransformation #AIStrategy #AIGovernance #FlawlessExecution #Leadership #Innovation #CognitiveCorp

I’m excited to share the second report in my series on Russia’s use of AI in military operations: How Russia Is Building a Sovereign Drone Ecosystem for AI-Driven Autonomy. This research started from a simple question: what does it actually take to scale AI in warfare—not in theory, but under real battlefield conditions? The answer is not frontier models or breakthrough algorithms. It is integration. Russia is not trying to win the race for cutting-edge AI. Instead, it is building something far more operational: an end-to-end ecosystem that connects commercial technologies, training pipelines, industry, and battlefield feedback loops into a system that can learn, adapt, and scale. A few key takeaways: • AI is being embedded at the tactical edge—enabling drones to operate in GPS-denied, contested environments with increasing levels of autonomy • Innovation often starts outside the formal defense industry, with “garage-level” solutions that are scaled by the state only after battlefield validation • Training—not technology alone—is emerging as the primary engine of adoption, turning new capabilities into operational effect at speed • Russia’s approach is pragmatic: adapting existing Western and Chinese models into applied military use cases rather than building frontier AI from scratch The result is not perfect autonomy—but something arguably more dangerous: functional, scalable autonomy that works well enough in combat. For the United States, the lesson is clear. Competing in AI-enabled warfare is not just about technology—it is about building systems that connect innovation, training, and deployment into a continuous feedback loop. Grateful to colleagues and Ukrainian partners who helped ground this research in real battlefield experience. Would love to hear your thoughts. #AI #Defense #Drones #Autonomy #NationalSecurity #Russia #MilitaryInnovation #EmergingTech

Most military organisations are investing heavily in technology. New sensors, drones, AI capabilities, communications systems, data platforms. The difficult question is whether we are preparing those capabilities for the conditions they are most likely to face. Much of modern defence still assumes reliable communications, available positioning, trusted data, predictable logistics, and stable information flows. Yet recent conflicts continue to show an environment where communications degrade, GPS becomes contested, data is manipulated, adaptation cycles are measured in weeks, and systems are continuously exposed to electronic warfare, cyber pressure, and information operations. The challenge is not that technology is failing. The challenge is that many of the assumptions supporting technology are increasingly becoming targets themselves. In the first full article of the Commander’s Handbook – Cutting Through the Noise series, I explore the gap between the war many systems are designed for and the war they are likely to encounter. The article looks at: • why modern conflicts are exposing hidden dependencies • what Ukraine reveals about adaptation, drones, and electronic warfare • why drone warfare is far more complex than the public narrative suggests • how incidents now spread across military, cyber, information, infrastructure, and political domains within hours • what commanders should be asking before the next crisis rather than during it The purpose is not to predict the next war. It is to challenge the assumptions we may be carrying into it. Article below. #Defence #MilitaryInnovation #CommandAndControl #OperationalReality

The Neglected Symbiosis Why Military Technology and Tactics Must Evolve Together The recent surge in defence spending across the UK and Europe has predominantly focused on acquiring cutting-edge technology - advanced weapons systems, sophisticated software, and next-generation platforms. Yet a critical oversight threatens to undermine this massive investment: the parallel development of Tactics, Techniques, and Procedures (TTPs) has been largely neglected. This disconnect creates a dangerous paradigm where technology, rather than operational need, begins to dictate the character of warfare. History has repeatedly shown that technology alone cannot win conflicts - it must be integrated within a coherent and adaptive operational framework. ➡️ Technology Without Tactical Evolution: A Recipe for Failure When examining historical precedents, we see this pattern repeating. The French military's investment in the Maginot Line without adapting their mobile defence doctrine, the US military's initial struggles in Vietnam despite technological superiority, and more recently, the challenges faced in asymmetric conflicts despite overwhelming technological advantages - all demonstrate that hardware without corresponding tactical innovation leads to suboptimal outcomes. ➡️ The Symbiotic Relationship Military effectiveness emerges from the symbiosis between technology and tactics. New capabilities demand new methods of employment, while tactical innovations often drive technological requirements. This relationship must be cultivated deliberately, not left to chance. Consider the revolution in drone warfare. The platforms themselves provide capabilities, but their transformative impact stems from how they're integrated into operations - from reconnaissance to targeting to swarming tactics. Without corresponding TTPs, these technological assets deliver only a fraction of their potential value. ➡️ The Way Forward Defence ministries and military commands must institute formal mechanisms for parallel development: ⚡️ Involve operators in technology acquisition decisions from the outset ⚡️Allocate specific funding for TTP development alongside procurement ⚡️Create rapid experimentation units to explore new tactical applications ⚡️Incorporate realistic technology integration challenges in training exercises ⚡️Develop feedback loops between equipment developers and field units The current imbalance in funding and attention between technology and tactics creates not just inefficiency but genuine strategic vulnerability. Our adversaries study these gaps and will exploit them. As defence spending continues to increase, we must ensure we're not just buying better tools but developing better ways to use them. The character of future warfare will be determined not by who has the most advanced technology, but by who most effectively integrates that technology into their operational art. Richard Gwilliam Benjamin Moody Ches Clark MA (Hons)

The Defence Investment Plan brings renewed focus to an increasingly important question for national security: how quickly we can turn technological innovation into operational capability. The commitment of more than £5billion towards autonomous systems, drones and next-generation military technologies reflects a fundamental shift in modern defence. Readiness is no longer determined solely by the size of a force, but by its ability to harness, deploy and continuously evolve new technologies. The nations that can innovate faster, scale production faster and adapt faster will be the nations best prepared for the challenges ahead. What particularly stands out is the recognition that this cannot be delivered by government alone. The creation of a new Uncrewed Systems Taskforce, working directly with industry, acknowledges something many of us have been saying for years: innovation happens most effectively when government, industry, academia and technology providers work together with a shared purpose. Just as important as innovation itself is the ability to scale. Developing breakthrough technologies is only part of the challenge. Building the manufacturing capacity, supply chains, skills and industrial capability needed to produce them at pace and at scale is what ultimately strengthens resilience and security. The UK has world-class strengths in advanced manufacturing, engineering, digital technologies, automation and robotics. The opportunity now is to harness those strengths to accelerate the journey from innovation to deployment. Achieving that requires more than technical expertise alone. It requires organisations that can help de-risk new technologies, validate manufacturing approaches, strengthen supply chains and support the transition from prototype to production. This is where organisations such as the MTC - Manufacturing Technology Centre have an important role to play. The challenge is no longer simply inventing the technologies of the future; it is creating the industrial capability to deploy them at pace, scale them with confidence and continuously improve them as requirements evolve. By bringing together industry, government and academia, and by helping organisations develop the manufacturing processes, supply chains and skills needed for adoption, centres like the MTC help accelerate the journey from innovation to operational capability. The focus must now be on delivery: turning investment into capability, innovation into deployment, and technological excellence into operational advantage for the UK. UK Ministry of Defence

There’s a real conversation to be had about AI and national security. But this Financial Times piece misses the mark—and the moment. Jonathan Guyer raises important questions in today’s FT. But in conflating today's AI developments with vague dystopian tropes, the piece misses an opportunity to seriously engage what’s happening inside the United States Department of Defense (DoD). Yes, the stakes are high. But the systems in place are far more robust—and far more thoughtful—than the article suggests. 1. Humans are in the loop. Every credible AI-enabled capability used by the U.S. military today requires human oversight. Autonomous systems are subject to strict DOD policy, and decisions with lethal consequences are governed by multiple layers of human review. 2. This is not happening in secret. Far from it. The DoD has publicly released ethical frameworks (like the 2020 AI Ethical Principles and the 2022–24 Responsible AI Implementation Pathway), launched dedicated oversight bodies like the DoD Chief Digital and Artificial Intelligence Office (CDAO), and built in auditability, red-teaming, and transparent test-and-evaluation protocols across the lifecycle of AI systems. Congressional reporting adds another layer of visibility. 3. We’ve seen progress—even in hard times. It’s true that Google exited Project Maven in 2018, but others—including Palantir Technologies—stayed, helping U.S. forces protect civilians and improve battlefield intelligence. We should be proud that Google has now reengaged and is working alongside companies like Microsoft, Amazon, Anduril, and Anthropic to responsibly bring advanced AI into defense. 4. Mindsets are shifting. Several tech and AI companies are rethinking prior bans on military use—recognizing that working with democratic governments on national security can align with ethical values. OpenAI recently updated its policies and is piloting its first Pentagon contract. Meta now allows LLaMA for defense use. These aren’t careless choices—they’re signs that leading firms are finding principled ways to engage on missions that matter. 5. This collaboration didn’t happen overnight. The progress we’re seeing is the product of years of meetings, demos, offsites, classified briefings, pilots, and mutual learning. There’s more to do—but we’re building a more responsive, resilient, and mission-aligned innovation ecosystem. 6. To make an obvious point: this isn’t about war for war’s sake. It’s about building software that reduces friendly fire, accelerates logistics, enables humanitarian response, and helps democracies—not autocracies—compete in a fast-changing world. We should debate how AI is used in defense. But that debate deserves precision—not platitudes. Let’s push for serious public dialogue. Let’s challenge assumptions. But let’s also recognize the deliberate, transparent, and ethical work already underway. #AI #NatSec #DefenseTech #ArtificialIntelligence #EthicalAI #DoD #Innovation #ResponsibleAI

“We can no longer afford to wait a decade for our legacy primes to deliver the next ‘perfect system’… only to find that it is delivered years behind schedule and costs ten times what it should.” Secretary of War Pete Hegseth didn’t mince words when he laid out the U.S. military's vision for the future of defense tech innovation in a speech on Monday. And with good reason: the breakneck evolution of drone warfare in recent years is a stark reminder that innovation “is happening at a pace we can't even foresee,” as Hegseth put it – and the Pentagon must adapt just as quickly or suffer the consequences. The United States Department of War memo accompanying Hegseth’s speech at Starbase details how military leaders plan on making this vision a reality – namely, by attacking the “tangle of overlapping organizations and confused authority” that defines the current innovation ecosystem. Here’s how: - Unifying that ecosystem under the department’s Chief Technology Officer (CTO) to ensure that organizations are in lock-step around producing “outcomes that matter for the warfighter” - Streamlining efforts through a CTO Action Group that operates with standardized tools and shared priorities – one innovation body to rule them all - Integrating the fragmented innovation organs like the Defense Innovation Unit and Strategic Capabilities Office under a DoW Field Activity designation - Empowering service program offices to organize their own innovation communities around shared objectives - Sending stronger demand signals to the defense industry through clear channels rather than chaotic and incoherent outreach These policies are designed to replace decades of bureaucratic inertia with a CTO-led, outcome-driven innovation ecosystem. No more competing councils and overlapping org charts; instead, a unified technical direction, empowered execution teams, and direct engagement with industry will shape the Pentagon's path forward. If this is implemented with urgency, it could unlock a wave of commercial tech adoption, modular systems development, and tactical innovation at exactly the moment when the U.S. military needs it most. The adversary isn’t waiting for our acquisition timelines to catch up – now, hopefully, we’re not either. This is the kind of framework that gives startups like ACS a shot to get critical tech in the hands of warfighters faster. Let’s make sure this transformation is more than a memo.

In the United States Department of War, we often hear frustration about why it takes so long to get new technology in the door. The reality is that the process is complicated because we’re not just plugging in tools; we’re building entire ecosystems that have to hold up under operational stress. At SOCPAC, the first step was simply making sense of our data, understanding what it is, where it is, and how it works together. From there, we have to define a foundational data stack and make it executable. That meant visualizing our data, automating the work with AI, and now pushing into the harder problem of how to transport it across different formats and modalities. Multi-modal vs. text, packet size, and memory are not small challenges. Once those foundations are in place, then we can layer in weapon systems, autonomous platforms, and more advanced capabilities. At each step, the goal is to bring in foundational technologies, like Big Data tools, CSPs, and frontier AI labs, that everything else builds on top of. This is also why procurement often feels broken. Too often, requirements are written without fully explaining this progression, and programs ask for point solutions before the foundation is ready. Without the right roadmap, even great technology ends up sidelined. The lesson: we need to be deliberate about sequencing. Build the foundation first, align it with operational requirements, and only then bring in the advanced capabilities. That’s the only way we’ll accelerate adoption while ensuring our systems are resilient, explainable, and truly useful at scale. If you come in with an unplanned spend plan, you'll just confuse the program offices that have no idea what any of this technology does, how it affects the warfighters, or what is the best way to put it together to get the most out of it.