Amadeus reinvests heavily in R&D, with a spend equivalent to its #3 competitor's total revenue. This creates a widening technology and product gap that smaller players cannot bridge, fortifying its market leadership and making it increasingly difficult for others to keep up.

While high capex is often seen as a negative, for giants like Alphabet and Microsoft, it functions as a powerful moat in the AI race. The sheer scale of spending—tens of billions annually—is something most companies cannot afford, effectively limiting the field of viable competitors.

The founders initially feared their data collection hardware would be easily copied. However, they discovered the true challenge and defensible moat lay in scaling the full-stack system—integrating hardware iterations, data pipelines, and training loops. The unexpected difficulty of this process created a powerful competitive advantage.

In the AI arms race, competitive advantage isn't just about models or talent; it's about the physical execution of building data centers. The complexity of construction, supply chain management, and navigating delays creates a real-world moat. Companies that excel at building physical infrastructure will outpace competitors.

Unlike traditional SaaS where a bootstrapped company could eventually catch up to funded rivals, the AI landscape is different. The high, ongoing cost of talent and compute means an early capital advantage becomes a permanent, widening moat, making it nearly impossible for capital-light players to compete.

While most tech giants focus on the digital world of "bits," Amazon's true dominance comes from its mastery of the physical world of "atoms." Its massive, hard-to-replicate logistics infrastructure for moving goods creates a formidable competitive advantage that software-only companies cannot challenge.

A powerful, non-obvious moat for software is deep integration with hardware. DJ software Serato partnered with hardware makers like Pioneer, becoming the industry standard. This makes switching extremely costly for users who have invested thousands in hardware, creating a durable competitive advantage.

As AI and better tools commoditize software creation, traditional technology moats are shrinking. The new defensible advantages are forms of liquidity: aggregated data, marketplace activity, or social interactions. These network effects are harder for competitors to replicate than code or features.

Inspired by Google, Cloudflare made an early decision to build its global network using inexpensive, commodity hardware instead of specialized equipment. This software-centric approach allows them to scale their infrastructure rapidly and cost-effectively, a key structural advantage over competitors.