Bank of America Securities reinstated its coverage of Workday Inc. on Wednesday with a neutral rating and a $140 price target [1].

The move highlights a growing tension in the enterprise software sector as artificial intelligence begins to challenge traditional revenue models. While Workday maintains a dominant market position, the shift toward AI-driven efficiency may change how companies pay for software services.

Tal Liani, an analyst at BofA, said Workday remains deeply embedded as a mission-critical system of record for payroll and Human Capital Management across major enterprises [1]. This integration provides a significant moat for the company, as the software is essential for the daily operations of large organizations.

According to BofA, Workday currently serves 65% of the Fortune 500 companies [1]. This level of penetration demonstrates the firm's ability to capture the high end of the corporate market, a feat that creates high switching costs for its clients.

However, Liani said AI could compress the company's per-seat pricing model [1]. Most enterprise software companies charge based on the number of employees using the system. If AI reduces the number of human workers required to perform these tasks, the total number of seats available to bill could decrease.

This pricing pressure comes as software providers attempt to integrate generative AI into their platforms to add value. The challenge for Workday is to transition from a volume-based pricing strategy to one that captures the value provided by AI automation without losing revenue.

“BofA reinstated coverage on Workday with a neutral rating and a $140 price target”

The BofA analysis underscores a broader systemic risk for the SaaS (Software as a Service) industry. For years, the 'per-seat' model has been the gold standard for predictable growth. If AI enables a smaller workforce to manage the same volume of human capital and payroll data, the fundamental unit of revenue for companies like Workday is threatened, forcing a pivot toward value-based or consumption-based pricing.