Leidos AI Adoption Tracker
Last updated: September 18, 2026
Overview
Leidos has positioned itself as a leader in AI innovation for government and commercial markets, with over two decades of experience developing AI solutions for mission-critical applications[1]. The company's comprehensive 'Trusted Mission AI' platform serves as the foundation for its digital transformation strategy, spanning defense operations, healthcare, cybersecurity, and civil infrastructure[2]. In December 2025, Leidos appointed Ted Tanner Jr., an AI veteran with 18 U.S. patents, as its new Chief Technology Officer to accelerate deployment of AI, mission-critical software, and quantum solutions[3]. The company has demonstrated significant commitment to AI through major partnerships and investments, including a $10 million collaboration with University of Pittsburgh for AI disease detection[4] and strategic alliances with Microsoft, Moveworks, and NVIDIA to advance agentic AI capabilities[5].
- [1] Proven AI. Big Outcomes. - Leidos
- [2] Driving the future of customer missions with Trusted Mission AI
- [3] Leidos taps leading AI tech executive Ted Tanner as chief technology officer
- [4] Leidos invests $10 million in AI disease detection with University of Pittsburgh
- [5] Leidos and Moveworks bring agentic AI capabilities to government agencies
AI Maturity Index
Radar Comparison
Peer Comparison: Leidos vs industrials
Based on 79 companies in sector
| Dimension | Leidos | Sector Avg | Diff |
|---|---|---|---|
| Adoption | 4.0 | 3.4 | +0.6 |
| Proficiency | 4.0 | 3.1 | +0.9 |
| Impact | 4.0 | 3.4 | +0.6 |
| Overall | 4.0 | 3.3 | +0.7 |
AI Hiring Signals
Leidos Job Postings Analysis
Tech vs Non-Tech AI Requirements
Top Departments by AI Mention Rate
Analysis
AI skills are present but not pervasive across Leidos' workforce, with 5.7% of all job postings mentioning AI. The tech-heavy nature shows in the 11.1% tech role AI mention rate, while non-tech roles at 4.2% suggest limited org-wide AI literacy expectations despite the company's significant AI business focus.
View Sample Job Postings (8 sources)
Key Metrics
AI Initiatives
MerlinX AI Assistant
December 2025
Large language model-based AI assistant for red team cyber operations and penetration testing
Uses graph retrieval-augmented generation to provide insights from network traffic and reconnaissance data, with simulated environments for training
Imperium Information Operations Platform
October 2025
AI-powered platform for U.S. strategic information operations developed with VML
Enables automatic recognition of shifting narratives and emerging threats, reducing mission planning tasks from days to hours
AI Factory
2025
On-premises AI environment providing dedicated high-performance computing for government agencies
Built on NVIDIA accelerated computing platform, Dell Technologies infrastructure, and Sterling deployment expertise. Designed to save agencies up to 63% compared to cloud alternatives over four years
C2AI Emergency Response System
2025
Agentic AI system for disaster response command and control developed with NVIDIA
Network of task-specific autonomous agents to automate emergency response workflows and provide real-time situational awareness
AlphaMosaic Battle Management AI
2024
AI-powered solution for military battle management and decision-making acceleration
Demonstrated 90% reduction in aircraft losses (from 60% to <10%) and improved target accuracy (from 40% to 80%) in battle scenario simulations
Trusted Mission AI Platform
Ongoing development since 2020s
Comprehensive AI framework designed for mission-critical government operations with transparency, explainability, and security features
Framework includes Design-to-Trust methodology, 4A Methodology (assistance, augmentation, autonomy), and Framework for AI Resilience and Security (FAIRS)
Frequently Asked Questions
Leidos implements 'Design-to-Trust' methodology with Framework for AI Resilience and Security (FAIRS), ensuring transparency, explainability, and security in AI solutions for mission-critical applications.
The AI Factory provides on-premises, dedicated AI infrastructure that offers predictable costs (up to 63% savings over 4 years), maximum security, and reliable performance without cloud dependencies.
Leidos serves the U.S. Department of Defense, intelligence agencies, Department of Homeland Security, Veterans Affairs, and various civilian agencies with AI-powered solutions.
Tanner, with 18 AI patents and experience from BigBear.ai and IBM Watson Health, will accelerate deployment of AI, mission-critical software, and cyber/quantum solutions starting January 2026.
Success metrics include operational efficiency gains (12,000 hours saved per quarter), performance improvements (90% reduction in simulated battle losses), and cost savings (63% vs cloud alternatives).
In Application
| Application | Vendor | Use Case |
|---|---|---|
| OpenAI GPT-4 | OpenAI | Large language model implementation through Microsoft partnership for generative AI solutions |
| Google Bard | Advanced AI models for trusted generative AI applications | |
| Amazon Bedrock | Amazon | Foundation model access for AI development in secure environments |
| Sourcegraph GenAI | Sourcegraph | AI coding assistant for government software development environments |
Sources
Proven AI. Big Outcomes. - Leidos
Driving the future of customer missions with Trusted Mission AI
Leidos taps leading AI tech executive Ted Tanner as chief technology officer
Leidos invests $10 million in AI disease detection with University of Pittsburgh
Leidos and Moveworks bring agentic AI capabilities to government agencies
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About AI Tracker
AI Tracker is a research project by Larridin, the AI execution intelligence platform.
Methodology: We analyze earnings calls, press releases, partnership announcements, and product documentation. All assessments are based solely on publicly available information—no private customer data is used.
Maturity Scoring: Each dimension is rated on a 4-tier scale (Nascent → Emerging → Scaling → Leading) based on evidence from public sources. Industry averages are computed as the median across all tracked companies in the sector.