Answer extracted from The Aerospace Executive Podcast — listen to the full episode below.
AI data center buildout is the sole driver of growth beyond historical trends, accounting for an extra 3% year-over-year increase in electronics spending. This infrastructure project—which reached $950 billion in spending last year and another $700 billion this year—is already larger than the U.S. railway system, motorway network, Apollo mission, and Manhattan Project combined when adjusted for inflation.
To understand the scale of this disruption, it helps to separate baseline growth from AI-driven acceleration. Electronics spending has historically grown at roughly 7% compound annual growth rate over the past two decades. That steady trajectory was driven by natural product development cycles, market expansion, and incremental innovation across automotive, consumer, industrial, and aerospace sectors.
But something unprecedented is happening now. According to Sebastian Shaw's analysis in The Aerospace Executive Podcast, the industry is shifting to 10% year-over-year growth, with the additional 3 percentage points coming entirely from artificial intelligence infrastructure buildout.
The scope of AI data center deployment has no equivalent in modern infrastructure. By the end of 2025, this buildout represents the largest infrastructure investment ever undertaken when adjusted for inflation—exceeding the total capital deployed on the U.S. railway system expansion, the interstate motorway network, the Apollo program to the moon, and the Manhattan Project all combined.
The spending figures make this tangible: $950 billion was deployed in 2024, with another $700 billion committed for 2025. Goldman Sachs projects $7 trillion in total spending through 2030-2031 to complete the AI infrastructure backbone. This is not venture capital chasing a trend; it is industrial-scale capital allocation rivaling the buildout of nations' core infrastructure.
As discussed in detail in this episode, the consequence for electronics component suppliers is a demand surge of 20x baseline levels on some components since 2022. For companies accustomed to 7% growth, this represents a discontinuity that traditional supply chain processes cannot absorb without structural redesign.
"Innovation diffuses at the rate of trust and the industry is sometimes very much a laggard when it comes to their own processes."
Sebastian Shaw — Founder, Luminovo. An electrical engineer from the Technical University of Munich who earned a second master's degree as a Fulbright Scholar at Stanford, Shaw co-founded Luminovo to help OEMs and contract manufacturers navigate electronics supply chain complexity. Drawing on his background in AI applications across automotive and semiconductor industries, he witnessed firsthand how traditional procurement and supply chain workflows collapse when demand accelerates beyond historical patterns.
The tension is acute for established manufacturers. The full episode explores how the aerospace sector, accustomed to stable long-term demand planning, now competes for component allocation against data center operators with effectively unlimited budget authority. When demand spikes, those without purpose-built supply chain software struggle to secure inventory, negotiate terms, or even understand where bottlenecks originate.
This is not a temporary spike—it is a structural reordering of electronics consumption. The 3% AI-driven acceleration sits atop the 7% baseline and will persist through the decade as data centers scale globally. Companies still operating on manual procurement processes or legacy supply chain systems face genuine disadvantage.
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Luminovo builds software infrastructure for the electronic supply chain that helps with quoting, procurement of components or PCBs, supply chain monitoring, and risk management.
Veterans are not owed anything and should reinvent themselves, with the military spending 12-18 months developing service members but the transition to civilian business requiring a different mindset.