Paul listed fintech as a key area, noting it relies on "proprietary data sets," "regulatory constraints," and "transactional behavior over time." These factors (data, regulation, embedded workflows) act as defensive barriers, making it challenging for generic AI solutions to quickly replicate and disrupt established companies or viable startups. WATCH for opportunities, as the sector's inherent moats can protect companies that effectively integrate AI into their defensible offerings. Aggressive new regulations or the emergence of AI agents that can bypass traditional financial intermediaries could undermine these defensive characteristics.