US Aerospace & Defense: Record $45B Capex — But Capacity for What?
AIA puts 2025 US aerospace & defense capex at $45B, up 13% year-over-year, funded by a record $109.2B trade surplus. The number that matters isn't the amount — it's whether it buys conventional capacity or AI-native capacity.
The Aerospace Industries Association (AIA), with S&P Global Market Intelligence, released its annual "Facts & Figures" report on June 25, 2026: $988.6 billion in combined 2025 revenue for the US aerospace & defense industry ($1 trillion including the broader supply chain), exports up 25% to $172.7 billion, a $109.2 billion trade surplus — the largest of any US manufacturing sector — and capital expenditures up 13% to $45 billion. The sector supports 2.1 million jobs and contributes $500 billion directly to US GDP.
A 13% capex increase looks like unambiguous good news: the industry is investing. But the report says nothing about what that investment buys — expanded conventional assembly and machining capacity, or AI-native capacity (digital twins, predictive maintenance built on structured proprietary data, automated verification systems). That distinction determines whether today's capital is solving the right problem.
Cardan-AI noted on July 29 that the sector's first AI battleground had shifted to procurement and the supply chain rather than production itself, and on August 7 that the deployment-speed gap between predictive maintenance (fast) and decision autonomy (slow) traced back to verification cost structure, not model capability. In both cases, the binding constraint has moved from physical to software and data. Capex funneled mostly into more conventional physical capacity would be solving last cycle's problem, not this one.
"Putty-clay" investment theory (Johansen, 1959) frames the stakes: capital is malleable ("putty") at the point of the investment decision, but rigid ("clay") once installed — it locks in the nature of production capacity for a decade or more. A misallocated 2025 capex dollar doesn't get corrected next year; it sets a trajectory. The AIA report doesn't break down the $45 billion between conventional and AI-native capacity — that is exactly the missing figure industry leaders and analysts should demand before treating the headline number as good news on its own.
Analysis by
Cardan-AI Intelligence
Our research and analysis unit, dedicated to applied AI for business, industry and regulatory compliance.
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