Private equity and venture capital funds create an illusion of stability by avoiding daily mark-to-market pricing. This "laundering of volatility" is a core reason companies stay private longer. It reveals a key, if artificial, benefit of private markets that new technologies like tokenization could disrupt.

AI's ability to generate ideas and initial drafts for a few dollars removes the high cost of entry for new projects. This "ideation" phase, once proven successful, often justifies hiring human experts for full execution, creating net-new work that was previously unaffordable.

The traditional IPO exit is being replaced by a perpetual secondary market for elite private companies. This new paradigm provides liquidity for investors and employees without the high costs and regulatory burdens of going public. This shift fundamentally alters the venture capital lifecycle, enabling longer private holding periods.

Venture-backed private companies represent a massive, $5 trillion market cap, exceeding half the value of the 'Magnificent Seven' public tech stocks. This scale signifies that private markets are now a mature, institutional asset class, not a small corner of finance.

Increased developer productivity from AI won't lead to fewer jobs. Instead, it mirrors the Jevons paradox seen with electricity: as building software becomes cheaper and faster, the demand for it will dramatically increase. This boosts investment in new projects and ultimately grows the entire software engineering industry.

Historically, labor costs dwarfed software spending. As AI automates tasks, software budgets will balloon, turning into a primary corporate expense. This forces CFOs to scrutinize software ROI with the same rigor they once applied only to their workforce.

The trend of companies staying private longer and raising huge late-stage rounds isn't just about VC exuberance. It's a direct consequence of a series of regulations (like Sarbanes-Oxley) that made going public extremely costly and onerous. As a result, the private capital markets evolved to fill the gap, fundamentally changing venture capital.

Previously, building 'just a feature' was a flawed strategy. Now, an AI feature that replaces a human role (e.g., a receptionist) can command a high enough price to be a viable company wedge, even before it becomes a full product.

Unlike traditional software that supports workflows, AI can execute them. This shifts the value proposition from optimizing IT budgets to replacing entire labor functions, massively expanding the total addressable market for software companies.