Interview, Fireside Chat
Building the System of Record for the AI Era ft Workday CEO Carl Eschenbach
- Workday is evolving its core definition from a "system of record for people and money" to a unified "system of record for human employees, AI agents, and the work/data produced by both."
- The platform currently manages a curated database of over 70 million users and processed 30% of all job wrecks (likely "job openings" or "payroll" based on context, though transcript says "wrecks") in the US last year, providing high-value context for AI agents.
- Workday is launching an "Agent System of Record" to onboard, manage, track, and govern AI agents similarly to human employees, addressing concerns regarding security, compliance, and "agent sprawl."
- To monetize AI, Workday is implementing a three-pronged pricing strategy:
- Seat-based uplift: Increasing subscription costs per seat where AI tools enhance employee productivity.
- Role-based agent pricing: Charging specific fees for specialized AI agents (e.g., a payroll agent) based on the value or cost of the human role they support.
- Consumption-based API access: Metered pricing for enterprise agents accessing Workday data, functioning as a platform business model.
- Carl Eschenbach explicitly rejected a 20% price hike for "co-pilots" alone, arguing AI features should be core to the product foundation rather than a bolt-on fee.
- Workday purchased HiredScore a year ago to accelerate its recruiting agent capabilities, which has demonstrated a 50% increase in recruiter productivity and a 20-40% reduction in time-to-hire.
- Implementation of Workday's "Talent Optimization" and "Talent Mobility" agents has resulted in a 40% reduction in employee attrition by matching internal skills to project needs.
- The company is initiating "Everyday AI," a mandatory training curriculum for all 20,000 employees to foster a "skills revolution" and ensure peaceful coexistence between humans and AI.
- Workday conducted a workforce restructuring earlier in the year affecting approximately 8% of the workforce (1,650 employees) to free up operating expenses for reinvestment in AI and go-to-market transformation.
- Eschenbach identifies "skills" as the new moat for enterprise AI, arguing that future agents will be role-based and skills-driven rather than task-based, leveraging Workday's unique data context.
- Workday plans to build an "entire economy" rather than just an ecosystem, incentivizing partners to build on the platform, sell to the marketplace, and leverage the "build once, sell to many" model.
- The CEO emphasizes a narrative shift from AI as a cost-saving (ROI) tool to an AI-driven growth engine, aiming to prevent employee anxiety about job replacement.
- Workday intends to maintain a "human-in-the-loop" for critical decisions like hiring, prioritizing empathy and human connection over fully automated AI judgment.
- Workday's core values (People First, Customer, Integrity, Innovation, Fun, Profitability) remain unchanged as the foundation for the next 20 years of AI integration.
- Eschenbach noted that while AI commoditizes intelligence, "agency" (the uniquely human ability to determine objectives) remains the distinct human advantage.
- In a lightning round, Eschenbach identified "Emily" (Sequoia partner) as the partner he misses most, while citing Joe Tucci and Sachi (likely Satya Nadella) as CEOs he respects for longevity and adaptability.
- His top advice for founders transitioning to CEO roles is to "focus on the success of others, not your own success."