Relying on one lead source, revenue stream, or indispensable team member creates critical vulnerabilities. Businesses must mitigate these dependencies to survive shocks, adopting the Navy SEALs' mindset: "two is one and one is none." This applies to technology access and key suppliers as well.

Government procurement processes are rooted in a pre-digital, paper-based mental model. They treat software like a physical commodity that must be procured anew for each jurisdiction, preventing them from leveraging software's inherent scalability and leading to massive, redundant development costs.

An outage at a single dominant cloud provider like AWS can cripple a third of the internet, including competitors' services. This highlights how infrastructure centralization creates systemic vulnerabilities that ripple across the entire digital economy, demanding a new approach to redundancy and regulation.

To minimize risk, government contracts often require bidders to have prior experience building the exact same system. This seemingly prudent rule creates a catch-22, barring new entrants and locking in a small number of incumbents who can then dominate the market and inflate prices.

When all major AI models are trained on the same internet data, they develop similar internal representations ("latent spaces"). This creates a monoculture where a single exploit or "memetic virus" could compromise all AIs simultaneously, arguing for the necessity of diverse datasets and training methods.

Recent breakdowns in student loan processing, AI governance, and cloud infrastructure highlight the vulnerability of centralized systems. This pattern underscores a key personal finance strategy: mitigate risk by decentralizing your money, data, and income streams across various platforms and sources.

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.

The global economy's reliance on a few dominant tech companies creates systemic risk. Unlike a robust, diversified economy, a downturn in a single key player like NVIDIA could trigger a disproportionately severe global recession, described as 'stage four walking pneumonia.' This concentration makes the entire system fragile.

In environments with highly interconnected and fragile systems, simple prioritization frameworks like RICE are inadequate. A feature's priority must be assessed by its ripple effect across the entire value chain, where a seemingly minor internal fix can be the highest leverage point for the end user.