"The question isn’t whether it can provide value – it is how to integrate it for best effect," said Hanna Price Kenner, Senior Program Manager at the Defense Strategies Institute, summing up a practical tension driving the 2026 AI for Defense Summit.
AI for Defense Summit, September 2–3, 2026: who’s coming and why it matters
The summit on September 2–3, 2026, will bring together senior leaders from across the defense, intelligence, government, and technology communities to examine how artificial intelligence is being developed, governed, and deployed to support mission advantage. Organizers and speakers are framing the event as a moment to move beyond experimentation toward operational deployment, with an emphasis on scaling AI across systems and workflows at enterprise and operational levels.
Getting the Foundation Right: Data Management for AI
Data sits at the center of the summit’s agenda. A dedicated panel, "Getting the Foundation Right: Data Management for AI," will convene senior data and AI leaders to discuss approaches to data management, quality, governance, and accessibility. Hanna Price Kenner said the services face fragmented, siloed data across disparate networks and that there is no one-size-fits-all solution: "Because each agency and organization across the Intelligence Community and Department of War has different missions, data environments, and requirements, each one thinks about data differently."
Speakers intend to highlight strategies and infrastructure to make data safe, accessible, and trustworthy so organizations can effectively leverage and scale AI—addressing data quality, management, governance, and access as prerequisites for trustworthy decision support.
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End the scrambleDepartment of War’s Artificial Intelligence Strategy and 'wartime speed'
The Department of War’s recently released Artificial Intelligence Strategy, issued earlier this year and discussed at the summit, prioritizes the development of an "AI-first warfighting force" and calls for commercial tech integration and rapid deployment across the services at what it describes as "wartime speed." Kenner and summit organizers frame that directive as a push to close the gap between commercial innovation and defense acquisition and deployment.
At the same time, Kenner identifies persistent institutional frictions: government acquisition policies and processes are repeatedly flagged as barriers. She argues modernization is necessary so agencies can iterate, test, and compare emerging technologies rapidly while maintaining standards for security, reliability, and performance.
Human-machine teaming, transparency, and operational risk
The summit will also tackle the operational balance between speed and oversight. Kenner described the goal as augmenting human decision-making—not replacing it—so Commanders and operators receive faster, better analysis and enhanced situational awareness without sacrificing accountability. She framed the challenge succinctly: "From the warfighter’s perspective, it’s hard to use technology you don’t trust."
Panelists will discuss human oversight, trust, and transparency in AI-enabled command and control environments, including CJADC2 initiatives, and how AI can improve sensor-to-shooter timelines and mission planning while preserving appropriate human judgement and responsibility.
Acquisition modernization, cybersecurity, and legacy systems
Kenner identifies three technical and institutional constraints that must be resolved to scale AI: outdated, unsecure legacy systems; cybersecurity concerns; and acquisition timelines and hurdles. She urged acquisition policies be modernized to encourage agility and iteration so emerging commercial capabilities can be tested and fielded against mission requirements, but with continued attention to security, reliability, and performance testing.
The summit is positioned as a forum to reconcile the competing pressures of speed and safeguarding—balancing rapid integration of generative AI, agentic AI, multimodal models, and autonomous systems with testing, human oversight, and protection against adversarial threats.
What this means for Warfighters, the Intelligence Community, and commercial AI vendors
- Warfighters and Commanders: Expect emphasis on decision support that improves situational awareness, reduces workloads, and shortens sensor-to-shooter timelines—contingent on trustworthy outputs and retained human oversight.
- Intelligence Community and Department of War data leaders: The summit will push practical discussions about data governance, accessibility, and cross-domain sharing as foundational to scaling trusted AI across differing mission sets.
- Commercial AI vendors and procurement officers: The conversation stresses faster integration of commercial tech under the Department of War’s "AI-first" posture, while also demanding adherence to security, reliability, and performance standards even as acquisition pathways are modernized.
The AI for Defense Summit frames a central question plainly: how to turn an "AI-first" aspiration into fielded, trustworthy capabilities without undermining security or human accountability. With panels on data foundations, human-machine teaming, acquisition reform, and rapid commercial integration, the event will test whether leaders can convert strategy language—"wartime speed" and an "AI-first warfighting force"—into repeatable practices that deliver measurable mission advantage.
