Workday’s Last Workday? AI and the Future of Enterprise Software

What It Covers

a16z partner Joe Schmidt argues that Workday — a 20-year-old HR platform with 97% gross dollar retention — faces its first genuine displacement threat from AI-native competitors. The same platform shift logic that let Workday unseat PeopleSoft in 2005 now applies against Workday itself, across HR, CRM, and ITSM categories.

Key Questions Answered

• •Platform shift timing: Enterprise software incumbents get displaced during technology transitions, not between them. Workday beat PeopleSoft by rebuilding for cloud in 2005. AI now creates the same window — the first moment a CHRO or CIO can be shown a fundamentally different system architecture, not just a point solution layered on top of existing infrastructure.
• •Brownfield over Greenfield: Startups like Gusto pursue Greenfield customers not yet locked into enterprise platforms. The AI-era opportunity is Brownfield — targeting existing Workday customers who have 97% retention not from satisfaction but from switching costs. Enterprises report willingness to replace Workday if a feature-equivalent, AI-native alternative existed and could be deployed in 30–60 days.
• •Deployment compression as unlock: Legacy enterprise HR implementations take 12-plus months and significant consulting spend. AI-native coding and migration tooling can compress deployment to 30–60 days. This timeline reduction is the structural prerequisite for rip-and-replace to become viable — without it, switching costs remain prohibitive regardless of product quality or pricing advantages.
• •AI revenue skepticism: Workday reports $400M AI ARR growing triple digits, but Schmidt characterizes this as procurement innovation rather than genuine product transformation. Flex credits still require $25,000 licensing fees plus consultants to build anything. No agentic experiences are actually deployed inside customer Workday instances — enterprises are spending AI budgets without receiving AI-native functionality.
• •Agent permissioning as next battleground: As companies deploy more AI agents, those agents need role-based permissions and tracking tied to HR data — the same data Workday holds. CIOs are already asking how to manage agent permissioning at scale. An AI-native HR system becomes the identity and permissions layer for the entire agentic enterprise, expanding its strategic value well beyond payroll and benefits.