Workday CEO wants AI agents paid from the labor budgets they replace

Workday's co-founder and CEO, Aneel Bhusri, wants customers to pay for the company's AI agents out of their staffing and outsourcing budgets, not just their IT line items. Speaking to investors at Workday's annual conference in Las Vegas, Bhusri framed the pitch as a direct expansion of the company's market: as its AI agents automate more HR and finance work, Workday wants a share of the labor spend those agents could replace. It is a rare moment of a software vendor openly pricing its product against the jobs its own technology is designed to eliminate.

The math behind the move comes from Chief AI Officer Joel Hellermark, who told financial analysts that automating tasks like HR work could expand Workday's market "beyond the software budgets into the labor and services spend," where "customers are spending tens of millions of dollars on outsourcing." Hellermark claimed self-service AI agents had already increased resolution rates for common tasks by 25 percent. "We're only getting started there," he said, arguing Workday could significantly reduce customers' outsourcing spending. For a company whose traditional revenue model counts licensed employees, that is a fundamental repositioning.

The billing shift is the real story for finance chiefs. Bhusri expects customers to pay for AI agents based on consumption, with invoices growing as usage grows, rather than the traditional per-employee subscription. "It's a flywheel. Once it gets going, it really gets going. It's a far better model than a people-based subscription-based model, which will continue for a long time," he said. "I see the bills we have to pay to Google Cloud and AWS and Azure, and I think why I'd like to be in that business." The reference to hyperscalers is telling: Workday wants the kind of usage-based revenue that has made cloud infrastructure providers some of the most valuable companies in the world.

Bhusri also said Workday is using AI internally to grow without adding headcount. "We're looking at the products across all of our software providers [to show] how we can use AI to drive margin," he said. "It may not be in terms of more reductions in workforce... but there's also the opportunity to just not hire in areas we were hiring in the past and just leverage AI instead." The message to customers is implicit: if Workday runs leaner on AI, so can they.

The product foundation for this push arrived this week. Workday announced broader "headless" access to its HR and finance systems, letting AI agents read data and perform tasks without users navigating the application interface. Its Model Context Protocol (MCP) tools provide access subject to Workday's permissions, approvals, and audit trails. Workday Data Cloud supports access to operational and historical data, including sharing with platforms such as Snowflake, Databricks, and Salesforce, built on a data lake using the Apache Iceberg open table format. In plain terms: Workday is opening its systems to third-party AI agents and data platforms, making it easier for automation to run across the enterprise without a human clicking through screens.

The strategy arrives under a returning CEO. Bhusri took back the top job in February, replacing Carl Eschenbach, who stepped down with a lump-sum cash payment of $3.6 million. Bhusri said he wanted to centralize responsibility for AI: "When I came back, it was very diffuse. AI was owned by all the application teams; APIs were owned by all the application teams. And frankly, we're moving too slowly." The consolidation of AI ownership under a single leader is a signal that Workday intends to move faster on automation, and that the usage-based pricing model is a priority, not an experiment.

The push also lands against a backdrop of deal speculation. In August, Reuters reported that private equity firm Silver Lake was in talks to buy Workday; the software company did not comment at the time. A usage-based AI revenue stream, tied to labor budgets rather than headcount licenses, could change how an acquirer values the business. It also raises the stakes for Workday's enterprise customers, who may find themselves negotiating with a company whose ownership could shift while its pricing model is in flux.

For CFOs and boards buying HR and finance software, the implications are concrete. Workday is signaling that AI agents will be priced as a variable cost that scales with how much work they actually do, not how many employees are licensed. That means procurement teams need new forecasting models for spend, and it sharpens the strategic question: if the software vendor's agents can do the work of outsourced staff, the savings may be real, but the vendor will want a growing share of them. The companies that plan for that trade-off now, rather than discovering it in their first usage bill, will be the ones that actually capture the efficiency gains.