There is no single mathematical digit that triggers this crisis, but the breaking point occurs when the cost of servicing debt or diluting equity exceeds the net present value of future model improvements. For AI firms, the danger zone arrives when capital expenditures for compute clusters outpace the speed of revenue scaling. If a company must burn through its entire cash runway just to maintain its current training compute capacity, it has entered a death spiral.
Hardware firms face this threat earlier. They require massive upfront investment in fabrication and supply chains before a single chip ships. If interest rates spike during a fabrication cycle, the debt service might swallow the margins needed to fund the next generation of silicon. Software firms often have more breathing room, but they are not immune. When venture capital dries up, they must prove that their models generate immediate enterprise value rather than just academic novelty.
The threat becomes existential when R&D ceases to be an investment and becomes a survival cost. If a company stops innovating to pay its creditors, it loses its competitive moat. Once the technical lead evaporates, the high cost of capital effectively kills the business.
