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Aerospace & Defense AI Strategy: opportunities, use cases & the operating model
AI creates value in MRO turnaround, program schedule and cost risk, and mission analytics, all constrained by ITAR, airworthiness certification, and the need for auditable, explainable models.
Where AI creates value
Predictive MRO — Component life prediction cutting aircraft-on-ground time
Program schedule risk — Cost and milestone forecasting on complex programs
Supply chain resilience — Sole-source and obsolescence risk detection
Design and engineering — Generative structures and simulation acceleration
Mission and ISR analytics — Sensor fusion for detection and targeting
Manufacturing quality — Non-destructive inspection of composites and welds
Top AI use cases
- Predictive engine and fleet health monitoring to plan MRO inductions
- Schedule and cost overrun forecasting across multi-year defense programs
- Automated non-destructive testing of composite structures via vision models
- ISR sensor fusion and object detection for surveillance analytics
- Digital thread twins linking design, build, and sustainment data
What has to change (operating model)
- ITAR and export-control classification governing training data and model weights
- Airworthiness certification pathways for AI in safety-critical avionics
- Explainability and audit trails mandated for defense acquisition and use
- Secure sovereign compute and accredited environments for model development
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