To bypass supply chain backlogs for new power generation equipment, Elon Musk's data centers are retrofitting jet engines from retired Boeing 747s and 767s. This "hack" uses proven, available, last-generation technology to gain a speed advantage in the AI infrastructure race.

FTAI's "Aero Derivatives" business repurposes end-of-life jet engines, which would otherwise be scrapped, into gas-powered turbines. This meets urgent power demand for data centers while monetizing an asset with a very low input cost, creating a high-margin, non-obvious revenue stream.

The AI revolution isn't just about software. For the first time in years, venture capital is flowing into hardware like specialized semis and even into energy generation, because power is the core bottleneck for all AI progress.

Power for AI data centers is not limited to the traditional grid or a few turbine suppliers. Operators are turning to a diverse portfolio of 'behind-the-meter' power sources, including repurposed jet engines (aeroderivatives), large reciprocating engines from ships and trucks, and fuel cells to rapidly scale capacity.

The insatiable demand for power from new data centers is so great that it's revitalizing America's dormant energy infrastructure. This has led to supply chain booms for turbines, creative solutions like using diesel truck engines for power, and even a doubling of wages for mobile electricians.

The immense energy demand from AI is creating a new market for "trapped" natural gas reserves that are hard to transport. Energy companies can co-locate data centers with these reserves to harness cheap, reliable power, transforming a stranded asset into a highly valuable one.

The massive energy consumption of AI data centers is causing electricity demand to spike for the first time in 70 years, a surge comparable to the widespread adoption of air conditioning. This is forcing tech giants to adopt a "Bring Your Own Power" (BYOP) policy, essentially turning them into energy producers.

The demand shock from AI is so immense it requires industrial revolutions in foundational sectors. Beyond silicon, this will drive massive growth in energy, steel, mirrors, and manufacturing, reshaping the physical economy for the first time in decades.

The demand for AI computing extends far beyond GPUs, creating a massive supply chain for physical infrastructure. This boom benefits traditional industries like civil engineering, industrial turbine manufacturing (Caterpillar), and even specialized financial sectors like insurance syndicates at Lloyd's of London.