A common question is "who will buy all the debt?" The answer is that money borrowed and spent by a company on a project becomes income and then savings for others. These new savings are then used to buy the debt, completing a self-funding circular flow.
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.
A surge in corporate spending on AI, capex, and M&A can boost stock prices. However, this same activity often requires issuing large amounts of new debt, increasing supply and causing credit spreads to widen, leading to underperformance versus equities.
While AI represents the largest segment of corporate debt, the risk is not yet systemic. The current build-out is primarily financed by the massive free cash flow from operations of megacap tech companies, not excessive leverage. The real danger emerges when this shifts to debt financing that cash flow cannot support.
Instead of treating private credit creation as a black box, analyze it by tracking corporate bond issuance in real-time and observing whether the market is rewarding high-debt companies over quality names. A rally in riskier firms signals a positive credit impulse.
The AI ecosystem appears to have circular cash flows. For example, Microsoft invests billions in OpenAI, which then uses that money to pay Microsoft for compute services. This creates revenue for Microsoft while funding OpenAI, but it raises investor concerns about how much organic, external demand truly exists for these costly services.
Beyond its original meaning of refining data, the "data is the new oil" metaphor now aptly describes the tech industry's capital structure. Tech is adopting a massive, trillion-dollar debt model, similar to the oil and gas industry, to finance its infrastructure boom.
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.
A surge in capital expenditure indicates rising corporate confidence and, more importantly, a strategic pivot. Companies are moving away from passive stock repurchases, showing an urgency to pursue active growth through investments and acquisitions.
According to the Kalecki-Levy equation, gross investment spending immediately becomes revenue for another company. Unlike consumption-driven revenue which has immediate wage costs, the cost of investment (depreciation) is recognized slowly over time, creating a powerful, immediate boost to aggregate corporate profits.
The popular narrative of a looming 'wall of maturities' is a fallacy used in investor presentations. Good companies proactively refinance their debt well ahead of time. It's only the poorly managed or fundamentally flawed businesses that are unable to refinance and face a maturity crisis, a fact the market quickly identifies.