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.
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.
Official liquidity measures like Fed balance sheet levels are too slow to be tradable. A better approach is to monitor the symptoms of liquidity conditions in real-time market data. Indicators like SOFR spreads, commercial paper spreads, and unusual yield curve shapes reveal the health of private credit creation.
The previous era of central bank money printing lifted all asset classes together. The new regime, driven by private borrowing for real economic investment, is different. It creates GDP growth (good for stocks) but also a large supply of debt (bad for bonds).
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 the asset-light software era dominated by venture equity, the current AI and defense tech cycle is asset-heavy, requiring massive capital for hardware and infrastructure. This fundamental shift makes private credit a necessary financing tool for growth companies, forcing a mental model change away from Silicon Valley's traditional debt aversion.
Private credit has become a key enabler of the AI boom, with firms like Blue Owl financing tens of billions in data center construction for giants like Meta and Oracle. This structure allows hyperscalers to expand off-balance-sheet, effectively transferring the immense capital risk of the AI build-out from Silicon Valley tech companies to the broader Wall Street financial system.
The financing for the next stage of AI development, particularly for data centers, will shift towards public and private credit markets. This includes unsecured, structured, and securitized debt, marking a crucial role for fixed income in enabling technological growth.
Since 2014-2015, the Federal Reserve's actions have not materially impacted the economy's flow of funds. The intense market focus on Fed announcements is a distraction from the true economic driver: fiscal policy. Analysis should sideline the Fed to gain a clearer picture of the economy.
The global shift away from centralized manufacturing (deglobalization) requires redundant investment in infrastructure like semiconductor fabs in multiple countries. Simultaneously, the AI revolution demands enormous capital for data centers and chips. This dual surge in investment demand is a powerful structural force pushing the neutral rate of interest higher.
The US economy is seeing a rare combination of high government deficits, massive AI-driven corporate investment, and bank deregulation. If the Federal Reserve also cuts rates based on labor market fears, this confluence of fiscal, corporate, and monetary stimulus could ignite unprecedented corporate risk-taking if growth holds up.