The AI boom is fueled by 'club deals' where large companies invest in startups with the expectation that the funds will be spent on the investor's own products. This creates a circular, self-reinforcing valuation bubble that is highly vulnerable to collapse, as the failure of one company can trigger a cascading failure across the entire interconnected system.

When the IPO window opens, nearly every stakeholder—from bankers and lawyers to VCs and management—is financially motivated to go public. This collective "irrational exuberance" can lead to a rush of mixed-quality companies, perpetuating the industry's historical boom-bust IPO cycles.

The current AI boom is driving valuations to unprecedented highs across all stages. While this creates opportunities for massive companies, it also creates significant risk for founders who may struggle to raise subsequent rounds above their large liquidation preference stacks if they don't achieve breakout growth.

Unlike traditional B2B markets where only ~5% of customers are buying at any time, the AI boom has pushed nearly 100% of companies to seek solutions at once. This temporary gold rush warps perception of market size, creating a risk of over-investment similar to the COVID-era software bubble.

Bubbles are created when assets like startup equity are valued astronomically, creating immense perceived wealth. However, this "wealth" is not money until it's sold. A crash occurs when events force mass liquidation, revealing a scarcity of actual money to buy the assets.

A confluence of major IPOs (SpaceX, Anthropic) and expiring lockups is set to release nearly a trillion dollars of new stock into the market. This supply glut is predicted to overwhelm investor demand, leading to a significant price correction, particularly for AI-related stocks.

The capital financing AI—from venture and credit to public markets—is so deeply interwoven that the system is fragile. Experts warn this creates systemic risk where a single negative event, like a major struggling AI IPO, could rapidly shift sentiment from the current "peak buoyancy" and trigger a broad market correction.

The time between AI startup funding rounds is shrinking dramatically, a pattern reminiscent of the dot-com bubble. This rapid re-valuation often outpaces actual enterprise value creation, creating significant risk as investor hype overwhelms fundamentals.

VCs are paying astronomical seed valuations (up to $200M) for AI infrastructure startups from 'legible' founders (e.g., ex-OpenAI). This high-risk strategy mirrors the 2021 market, where investment decisions are driven less by business viability and more by a VC's capital and access to play in a consensus-driven space.