The software sector has faced significant market pressure following the emergence of AI coding assistants, with nearly $1 trillion wiped from company valuations in early 2025. Despite a subsequent rally fueled by strong earnings, the S&P 500 software and services index remains down 21% year-over-year. This sell-off has prompted debate over the long-term viability of established software firms, hinging on whether their products possess sufficient "moats" – deep integration into customer businesses that makes replacement difficult.

Companies like Intuit, Workday, ServiceNow, Salesforce, and Oracle have experienced substantial valuation drops, with forward price-to-earnings ratios falling to the low teens despite continued double-digit profit growth. This suggests markets are pricing in a rapid erosion of these moats. The counterargument posits that these firms act as "systems of record," housing critical data and embedding complex regulatory compliance, making them difficult to dislodge.

While AI coding agents accelerate development, their ability to displace incumbents relies on customer adoption, not just faster creation. Some analysts believe legacy tech companies are innovating too slowly, risking being relegated to mere database managers by AI-native startups. However, others argue that AI labs will require access to incumbents' APIs to leverage their embedded business logic and compliance frameworks, potentially evolving the SaaS model to generate revenue through API tolls. This suggests a differentiated future, with "systems of record" providers better protected than peripheral "low or no code" companies.