For projects requiring hundreds of millions, fundraising should be split into phases. The initial "pre-industrialization" phase, focused on proving technology, is suited for venture capital. Later phases for manufacturing and scaling should target project finance structures with debt/equity combinations and strategic partners.

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.

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.

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.

Unlike private equity (terminal value) or syndicated loans (interest-only), asset-based finance (ABF) provides front-loaded cash flows of both principal and interest. This structure inherently de-risks the investment over time, often returning significant capital before a potential default occurs.

There's a critical financing gap for early-stage hardware companies. Venture debt firms avoid CapEx-heavy, unprofitable startups, while traditional banks require positive cash flow. This forces founders to either dilute themselves with expensive equity for equipment or risk their personal assets.

Unlike traditional capital-intensive industries, OpenAI's model is asset-light; it rents, rather than owns, its most expensive components like chips. This lack of collateral, combined with its cash-burning operations, makes traditional debt financing impossible. It is therefore forced to raise massive, dilutive equity rounds to fund its ambitious growth.

The enormous capital needed for AI data centers is forcing a shift in tech financing. The appearance of credit default swaps on Oracle debt signals the re-emergence of large-scale debt and leverage, a departure from the equity and free-cash-flow models that have characterized the industry for two decades.

Tech giants are no longer funding AI capital expenditures solely with their massive free cash flow. They are increasingly turning to debt issuance, which fundamentally alters their risk profile. This introduces default risk and requires a repricing of their credit spreads and equity valuations.