THE AI LEGIBILITY PARADOX

As artificial intelligence becomes central to business operations, companies face a strategic tension. Making internal processes, data, and workflows legible to AI systems improves efficiency and automation. Yet the same transparency that enables AI could expose the unique elements that differentiate a company from competitors. Halligan frames this as the "strategic illegibility" problem. Competitive moats—whether proprietary processes, unique data structures, or hard-to-replicate workflows—often derive their value from complexity and opacity. Revealing these to AI systems risks commoditizing them, making them easier for competitors to understand and replicate. The solution requires precision. Companies must selectively expose information: enough for AI to operate effectively, while protecting core differentiators. This means auditing what gets fed into AI systems, compartmentalizing sensitive processes, and maintaining human gatekeeping over strategic assets. Founders must balance operational modernization with competitive protection. The companies that navigate this tension effectively will gain AI's productivity benefits while preserving their durable advantages.