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Workday Earnings Show Why It is Focusing on Better AI

Workday’s second-quarter results show AI becoming a more significant part of its growth, with the company reporting strong customer adoption of its agents while investing in research, development and partnerships designed to make enterprise AI more reliable and easier to deploy at scale

Workday Earnings Show Why It is Focusing on Better AI

Workday has reported a strong second quarter, with revenue rising 12.8% year over year to $2.649 billion.

Workday’s subscription business remained the main engine of that growth, while its backlog continued to expand, giving the company a stronger base of contracted revenue heading into the rest of the fiscal year. It also raised its full-year non-GAAP operating margin guidance to 31%, suggesting that the stronger performance is not coming at the expense of profitability.

AI, however, is becoming harder to separate from the company’s broader commercial performance. Workday said the technology contributed to more than a quarter of its new annual contract value during the quarter, while thousands of customers are now using its AI agents. The figures point to a shift in how the company is selling and expanding its core HR and finance platform.

AI Becomes a Bigger Part of Workday’s Growth

Workday reported total revenue of $2.649 billion for the quarter ended July 31, with subscription revenue reaching $2.471 billion, up 13.9% from the same period last year. Its 12-month subscription revenue backlog also rose 14.2% to $9.034 billion, providing a measure of the contracted demand underpinning future revenue.

A significant development for Workday’s AI strategy was the contribution of AI to new business. The company said AI accounted for more than 25% of its new annual contract value during the quarter, suggesting the technology is increasingly influencing purchasing decisions rather than simply being added to an existing product portfolio.

Workday also said more than 5,500 customers are now using at least one of its organic AI agents, an increase of more than 35% from the previous quarter.

Workday’s AI Strategy Gains Momentum

Workday’s earnings growth and rising use of AI agents help explain why the company has made several recent announcements. In August, it introduced a dedicated AI research team focused on technical challenges including agent memory, multi-agent collaboration, governance and trust, areas that could become increasingly important as more customers put agents to work.

At the same time, the company expanded its agent ecosystem through capabilities including Developer Agent, which is designed to let developers create applications and agents using natural language, and Agent Passport, which is intended to test, verify, and continuously monitor agents before and after deployment.

The commercial significance of that push is becoming clearer, as according to Mark Vigoroso, President, North America, at The Enterprise Edge: “AI is a larger share of Workday's new business than of anyone else's disclosed mix. Salesforce's $1.5 billion Agentforce ARR sits on a $46 billion revenue base. Workday's $600 million sits on roughly $10 billion," he said.

"Workday is not winning a separate AI market; it is defending and repricing its own.”

That makes the technical challenges around enterprise agents more important. An agent operating within an HR or finance environment needs to do more than generate a useful response. It needs to handle sensitive information appropriately, work reliably alongside other agents and operate within the controls expected of enterprise software.

Workday is also extending that strategy through its partnerships with AWS and Google Cloud, opening its governed data layer to external AI services and bringing Workday agents into Gemini Enterprise. As AI becomes a larger part of Workday’s commercial performance, the company is increasingly betting that making agents more capable, accessible and controlled will help turn that momentum into longer-term growth.

Workday Bets on AI That Can Scale

The combination of rising AI-related sales and investment in agent reliability points to a more mature phase of Workday’s AI strategy. The company is no longer simply adding generative features to HR and finance software, but building a wider environment in which agents can access data, interact with one another and perform work under defined controls.

That creates an important distinction between AI adoption and successful AI deployment. A growing number of customers using agents is evidence of demand, but sustained enterprise use will depend on whether those agents can operate within the security, governance and reliability requirements of business systems.

Workday’s approach is consequently becoming more vertically integrated. It is developing agents, providing tools for customers and developers to build them, establishing mechanisms to verify and monitor them, and researching the underlying technical issues that could limit their effectiveness.

As AI becomes a larger contributor to new software spending, those capabilities could become increasingly important to Workday’s growth. The company’s latest results show that customers are already buying into the agentic AI proposition. The next test will be whether the technology can become reliable enough to support that growing investment across the enterprise.

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