U.S. Defense Procurement (Jan–Apr 2026)
AI as the Foundation of Modern Warfare
- Wu, Shaoyuan
Global AI Governance and Policy Research Center, EPINOVA LLC
https://orcid.org/0009-0008-0660-8232
Description
This policy brief examines U.S. AI-related defense procurement from January through April 2026 and argues that artificial intelligence is becoming a foundational layer of modern warfare systems rather than a discretionary force multiplier. It interprets AI procurement growth as evidence of rising decision density, battlefield complexity, and system-stabilization requirements.
Abstract
Between January and April 2026, U.S. defense procurement entered a rapid acceleration phase in artificial intelligence integration. AI-related contracts are estimated at $16–21 billion, representing approximately 18–24 percent of total procurement value and expanding three to four times within a single quarter. The brief argues that this pattern reflects a structural transformation in modern warfare: AI is shifting from auxiliary software to embedded system infrastructure, from efficiency enhancement to system stabilization, and from optional capability enhancement to a prerequisite for operational coherence under high-intensity, high-density conditions. It concludes that military effectiveness is increasingly defined by system stability, algorithmic robustness, recovery capacity, and the ability to sustain coherence under speed, complexity, and saturation.
Files
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Open PDF Download PDF| Name | Type | |
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| U.S. Defense Procurement (Jan–Apr 2026) AI and the Emerging Foundations of Modern Warfare.pdf Full-text PDF of the policy brief | application/pdf | Download |
Keywords
- Artificial intelligence
- AI procurement
- Defense procurement
- U.S. defense spending
- Modern warfare
- Military AI
- System stabilization
- System coherence
- Missile defense AI
- ISR
- Sensor fusion
- Command and control
- C2 systems
- Drone systems
- Counter-drone systems
- Decision support
- Algorithmic robustness
- Operational tempo
- Loss-of-control threshold
- LoCT
- Strategic competition
- System resilience
- Military transformation
- AI-enabled warfare
- EPINOVA
Subjects
- AI-enabled warfare
- Defense procurement
- Military technology
- Strategic studies
- National security
- Technology policy
- Artificial intelligence governance
- Command and control
- Missile defense
- ISR systems
- Autonomous systems
- System resilience
- Security studies
- Procurement analysis
- Operational complexity
Recommended citation
Wu, Shaoyuan (2026), U.S. Defense Procurement (Jan–Apr 2026): AI and the Emerging Foundations of Modern Warfare, Policy Brief No. EPINOVA–2026–PB–28, Global AI Governance and Policy Research Center, EPINOVA LLC,. DOI: https://doi.org/10.5281/zenodo.19520723.
APA citation
Wu, S. (2026). U.S. defense procurement (Jan–Apr 2026): AI as the foundation of modern warfare (Policy Brief No. EPINOVA–2026–PB–28). Global AI Governance and Policy Research Center, EPINOVA LLC. https://doi.org/10.5281/zenodo.19520723.
Alternate identifiers
| Scheme | Identifier | Description |
|---|---|---|
| DOI | 10.5281/zenodo.19520723 | Zenodo/DataCite DOI stated in the PDF recommended citation |
| DOI | 10.5281/ZENODO.19520723 | Uppercase DOI form from ORCID-derived metadata record retained for reconciliation |
| ORCID put-code | 211424633 | ORCID Public API record identifier from early metadata |
| EPINOVA policy brief number | EPINOVA–2026–PB–28 | Policy brief number printed in the PDF |
| File name | U.S. Defense Procurement (Jan–Apr 2026) AI and the Emerging Foundations of Modern Warfare.pdf | Source PDF file name |
| Short title | U.S. Defense Procurement (Jan–Apr 2026) | Short form of the policy brief title |
Related works
| Relation | Identifier | Type | Description |
|---|---|---|---|
| Related EPINOVA article on AI procurement and the changing logic of warfare | https://epinova.org/articles/f/the-quiet-surge-how-ai-procurement-is-reshaping-the-logic-of-war | ||
| Related EPINOVA policy brief on systemic escalation assessment and loss-of-control dynamics | 10.5281/zenodo.19550886 |
References
No references listed.