Workday's moat lies in its data and the development of role-based agents that focus on skill acquisition rather than just task automation.

Workday's approach to talent management includes a full lifecycle from recruiting to onboarding, talent optimization, and mobility, which can lead to a 50% reduction in the need for additional recruiters.

As we transition to an AI-driven economy, the same system that manages human workers will also manage AI agents, creating a unified workforce.

Workday's internal product leverages a database of employee skills to match them with job opportunities, emphasizing a skills-based approach to hiring.

AI agents can navigate multiple systems, understand context, and execute tasks that previously required human intervention, marking a significant shift in back-office operations.

Workday's three-pronged approach to monetizing AI includes seat-based pricing, role-based agents, and consumption-based API access.

Our underlying system integrates employee data across different business units, which will facilitate the introduction of AI in the future.

Workday's AI solutions are priced based on three models: seat-based pricing, agent-based pricing, and consumption-based pricing.

The role of AI in the workplace is evolving, with experienced employees becoming orchestrators who manage AI tools rather than performing all tasks themselves.