An economic moat is a sustainable competitive advantage that protects a company's profits from competition over extended periods. The concept, popularized by Warren Buffett, borrows the medieval castle metaphor: just as a moat defends a castle from invaders, an economic moat defends a business from competitors eroding its margins. Moats come in several forms: network effects (each user makes the product more valuable), switching costs (moving to a competitor is expensive or disruptive), cost advantages (structural scale or process efficiency), intangible assets (brands, patents, regulatory licenses), and efficient scale (natural monopolies where the market only supports one or two profitable players).
In AI infrastructure, the strongest moats are equipment monopolies (ASML in EUV lithography), fabrication scale (TSMC's process leadership), and ecosystem lock-in (NVIDIA's CUDA software platform). Agentic AI threatens moats built on switching costs and workflow integration — precisely the moats that protected SaaS companies for the past decade. When an AI agent can switch between platforms frictionlessly, the switching-cost moat evaporates.
In the AI era, traditional moats (brand, switching costs, network effects) are being tested by agentic software that can replicate workflows and bypass interfaces. Closelook distinguishes between physics-based moats — competitive advantages rooted in physical constraints that software cannot circumvent — and software moats that face structural erosion from AI agents.
ASML's EUV monopoly is a physics moat: no amount of AI can replicate the precision engineering of 13.5nm wavelength lithography. TSMC's process knowledge is a physics moat: decades of yield optimization cannot be compressed into a training run. By contrast, SaaS pricing moats built on workflow lock-in are software moats vulnerable to the SaaSpocalypse. This distinction — physics vs. software — is central to Closelook's investment framework.
Moat analysis connects to the SaaSpocalypse thesis, the EBITDA Multiple implications of moat erosion, and the Net Revenue Retention metric that signals moat strength in real time.
