Stuffing banks with reserves via Quantitative Easing doesn't spur lending if there's no real economy demand. The current shift is driven by a genuine "pull" for credit from sectors like AI and onshoring, making banks willing to lend, which is a far more powerful economic force.

The massive capital required for AI infrastructure is pushing tech to adopt debt financing models historically seen in capital-intensive sectors like oil and gas. This marks a major shift from tech's traditional equity-focused, capex-light approach, where value was derived from software, not physical assets.

The post-Powell Fed is likely to reverse the QE playbook. The strategy will involve aggressive rate cuts to lower the cost of capital, combined with deregulation (like SLR exemptions) to incentivize commercial banks to take over money creation. This marks a fundamental shift from central bank-led liquidity to private sector-led credit expansion.

Unlike prior tech revolutions funded mainly by equity, the AI infrastructure build-out is increasingly reliant on debt. This blurs the line between speculative growth capital (equity) and financing for predictable cash flows (debt), magnifying potential losses and increasing systemic failure risk if the AI boom falters.

For the past decade, the Fed was the primary driver of liquidity. Now, the focus shifts to commercial banks' willingness and ability to create credit to fund major initiatives like AI and onshoring. Investors fixated on Fed policy are missing this crucial transition.

Widespread credit is the common accelerant in major financial crashes, from 1929's margin loans to 2008's subprime mortgages. This same leverage that fuels rapid growth is also the "match that lights the fire" for catastrophic downturns, with today's AI ecosystem showing similar signs.

The buildout of AI infrastructure, specifically data centers, is projected to require five trillion dollars in financing over the next five years. J.P. Morgan analysts note that credit markets, including leveraged finance, are the primary source for this capital, with market sentiment shifting from fear to a focus on allocating these massive deals.

The AI infrastructure boom has moved beyond being funded by the free cash flow of tech giants. Now, cash-flow negative companies are taking on leverage to invest. This signals a more existential, high-stakes phase where perceived future returns justify massive upfront bets, increasing competitive intensity.

Unlike past tech booms funded by venture capital, the next wave of AI investment will come from hyperscalers like Google and Meta leveraging their pristine balance sheets to take on massive corporate debt. Their capacity to raise capital this way dwarfs the entire VC ecosystem, enabling unprecedented spending.