# Combined Joint All-Domain Command & Control (CJADC2)

**R-2A activity** of project 625315 — C4I Dominance Technology  
**Program element:** 0602788F — Dominant Information Sciences and Methods  
**Component:** U.S. Air Force · **Budget Activity:** 2  
**Vintage:** President's Budget PB2027  
**Canonical URL:** https://hitchintel.com/programs/0602788F/625315/a0  
**Parent:** https://hitchintel.com/programs/0602788F/625315

## Summary

This activity requests $28.6M in FY2027, 30% of project 625315, down 7.1% on FY2026. The R-2A exhibit describes it across FY2026–FY2027, including what the FY2027 money is planned to buy.

## What the FY2027 request buys

**FY2027 planned work.** - Continue development of standards that will be used to create an end-to-end (Australia, United Kingdom, and United States) joint machine learning ecosystem for the rapid development, sharing, and deployment of machine learning (ML) and artificial intelligence (AI) tools to enable joint AI missions for nation and coalition operational capabilities, and to enhance interoperability of AI assets between international partners for improved coalition operations. Activities include development, testing, assessment, and verification of "AI Passport" for release to partner nations and their respective users. - Continue research and development of an AI battle management command and control (BMC2) system to bring operators into the 5th Generation combat fight to develop a tech insertion module assisting with BMC2 decisions and enable seamless synchronization and mission persistence throughout the long-range kill chain (LRKC) life cycle. Activities include algorithm development and experimentation of capability during test event.

**FY2026 to FY2027 change.** FY 2027 funding decreased compared to FY 2026 by $2.171 million due to re-prioritization to meet the nation's future security needs and the completion of research and development of counter-AI techniques and an end-to-end analysis engine, an AI predictor to enable AI adaptation for pulsed operations, a capability to represent and display spatio-temporal logistics information, an identification and characterization of technical gaps for pulsed operations, management of distributed command and control resources and assessment of task redistribution, and an application of generative AI techniques for indicators & warnings analysis, for advancing ML approaches for operations in complex adversarial environments.

## Before the request year

**FY2026 plans — current year.** - Continue development of standards that will be used to create an end-to-end (Australia, United Kingdom, and United States) joint machine learning ecosystem for the rapid development, sharing, and deployment of machine learning (ML) and artificial intelligence (AI) tools to enable joint AI missions for nation and coalition operational capabilities, and to enhance interoperability of AI assets between international partners for improved coalition operations. Activities include development, testing, assessment, and verification of "AI Passport" for release to partner nations and their respective users. - Complete research and development to manage the complexity of distributed C2 resources and assess the ability to perform task redistribution in a highly-resource constrained environment. Optimize, orchestrate, and execute workflows from across multiple locations for distributed C2. Activities include development, testing, and assessment of distributed C2 optimization algorithms on operationally relevant data and scenarios. - Complete research and development of generative AI techniques applied to DAF data and problem sets through selected use cases, focusing on indicators & warnings analysis and multi-modal knowledge analysis through sensor fusion. Increase effectiveness for DAF operations by leveraging generative AI techniques to process large amounts of data that leads to optimal decision-making and C2. - Complete advancing research and development ML approaches for supporting and performing operations in complex adversarial environments. Increase the speed to employ AI agents for operational evaluation for potential implementation. - Commence and complete research and development of counter-AI techniques via non-cyber means for DAF and DoW missions to enhance warfighter counter-AI that will degrade or deny adversaries' own ability to utilize their AI & ML. Activities include initiating the development of an end-to-end analysis engine to perform operational analytics against adversarial AI using established counter-AI techniques. - Commence and complete research and development for an AI predictor to enable AI adaptation for pulsed operations to enhance the adaptation of AI & Autonomy for operations in contested environments against peer adversaries. - Commence and complete research and development for a capability to represent and display spatio-temporal logistics information and connections to varying mission objectives and perform analysis on the robustness of logistics plans to enhance logistics planning for DAF operations that reduce, or are resilient to, adversary attacks. - Commence and complete research and development to identify and characterize technical gaps for pulsed operations as it relates to command, control, communications, computers, and intelligence (C4I). Identify technological capabilities needed for command and control (C2) and battle management (BM) of pulsed operations in the Pacific theater. - Commence research and development of an AI battle management command and control (BMC2) system to bring operators into the 5th Generation combat fight to develop a tech insertion module assisting with BMC2 decisions and enable seamless synchronization and mission persistence throughout the long-range kill chain (LRKC) life cycle. Activities include algorithm development and experimentation of capability during test event.

## Funding

| Fiscal Year | Estimate Type | Amount ($M) |
|---|---|---|
| FY2025 | Actual | 22.0 |
| FY2026 | Enacted | 30.7 |
| FY2027 | Request | 28.6 |

> Prior, current and budget year only — an R-2A activity carries no five-year plan. It sums exactly into its project in the request year and not necessarily in any other.

## Other activities in project 625315

- [Multi-Domain Exploitation and Decision Support](https://hitchintel.com/programs/0602788F/625315/a1) — FY2027 29.4
- [Assured Communications & Networks](https://hitchintel.com/programs/0602788F/625315/a2) — FY2027 28.3
- Quantum Information Science — FY2027 8.9
- Data to Decisions — FY2027 0.0
- Processing Technologies — FY2027 0.0

## Source & machine access

- **Source:** FY2027 Department of the Air Force RDT&E Budget Justification, Exhibit R-2A, PE 0602788F project 625315 (PB PB2027). Narrative is the government's own text.
- **No marks, no contractors at this grain** — congressional marks land on the program element and R-3 performers on the project.
- **MCP:** `mcp.hitchintel.com` — `budget_get_activity`.

*HitchAI is an independent intelligence service, not affiliated with the U.S. Department of Defense. Budget figures are requests/estimates, not obligations.*