Because insurers only pay into guarantee funds after a failure occurs, a struggling firm has no disincentive for taking on excessive risk. They are not charged a higher premium for their behavior, creating a moral hazard that contrasts with the FDIC's risk-based system for banks.

The government inevitably acts as an "insurer of last resort" during systemic crises to prevent economic collapse. The danger, highlighted by the OpenAI controversy, is when companies expect it to be an "insurer of first resort," which encourages reckless risk-taking by socializing losses while privatizing gains.

During a financial crisis, even profitable firms face existential threats. The risk isn't from direct exposure to bad assets, but from a systemic "daisy chain" of distrust where counterparties refuse to pay their obligations, leading to a complete liquidity freeze that can bankrupt anyone.

Despite Dodd-Frank providing tools to wind down failing mega-banks, former FDIC Chair Sheila Bair believes regulators lack the political will to ever use them. This implicit guarantee of a future bailout is the "unspoken rationale" driving the largest banks' relentless push for lower capital requirements.

Silicon Valley Bank was already a member of deposit networks that could have prevented its collapse. However, 94% of its deposits remained uninsured because the bank failed to actually use the tools at its disposal. This reveals that the mere existence of a solution is worthless without proper implementation, integration, and incentives for adoption within an organization.

A proposed solution for the insurance sector's moral hazard is to adopt the "Source of Strength Doctrine" from banking. This would legally require affiliates within a holding company (like a PE parent) to financially support a failing insurer, directly aligning the downside risk with the controlling entity.

Core components of today's financial landscape, including FDIC insurance, Social Security, and even the 30-year mortgage, were not products of gradual evolution. They were specific policies created rapidly out of the financial ashes of the Great Depression, demonstrating how systemic shocks can accelerate fundamental structural reforms.

Drawing from the nuclear energy insurance model, the private market cannot effectively insure against massive AI tail risks. A better model involves the government capping liability (e.g., above $15B), creating a backstop that allows a private insurance market to flourish and provide crucial governance for more common risks.

Insurers can price a single large loss. What they cannot price is a single AI model, deployed by thousands of customers, having a flaw that leads to thousands of simultaneous claims. This "systemic, correlated" risk could bankrupt an insurer.