Rare Earths and Forging Capacity: The Physical Chokepoints Behind the AI-Defense Build-Up

Deloitte's September update to its 2026 Aerospace and Defense Industry Outlook reframes where the AI bottleneck in defense actually sits. As the sector moves from experimentation to an explicitly "AI-first" force posture, the report argues the binding constraint is no longer model capability but "trusted deployment" — and two of the physical inputs behind that deployment are now visibly strained.

The first is materials: critical minerals and rare earths used in advanced aircraft, munitions, naval systems, satellites and secure communications remain concentrated in foreign-controlled supply chains, which Deloitte flags directly as a national-security vulnerability rather than a routine sourcing issue.

The second is manufacturing capacity itself: forging and casting capability for mission-critical, long-lead parts is constrained, pushing contractors toward additive manufacturing — AI-optimized digital production — as a resilience tool to augment supply that cannot otherwise scale quickly.

The pairing matters for how the sector should be read going into 2027 planning: an "AI-first" defense strategy is only as fast as its slowest physical input, and right now that input sits upstream of any model. Cardan-AI's companion analysis applies a 1945 trade-dependency framework, updated for today's networked supply chains, to explain why that vulnerability is structural rather than temporary.