AI is already part of the everyday recruiting experience. Talent acquisition teams are using it to source candidates, screen applications, communicate with talent and schedule interviews.

But using AI and getting the most from it are two different things. In fact, research suggests only 5% of organizations rate their talent acquisition function as world-class.

That points to an important distinction: AI recruiting maturity is less about how many AI capabilities an organization has deployed and more about how effectively they work together to support better hiring outcomes.

 

AI Recruiting Adoption is Becoming the Norm

AI is finding its place across more of the recruiting process. Gartner identifies AI-driven high-volume recruiting and AI-shaped talent assessment among the trends defining talent acquisition in 2026.

Deloitte’s 2026 Global Human Capital Trends report points to a similar opportunity beyond talent acquisition. Organizations are bringing AI into everyday work, but only 6% of leaders say they are making progress in intentionally designing human-AI interactions.

For talent acquisition leaders, simply asking, “Do we use AI?” only tells part of the story.

A more useful question is: Where is our AI creating measurable value, and where could greater connection make it more effective?

 

Why AI Recruiting Maturity Matters

The difference between AI adoption and AI maturity often comes down to how the technology is implemented.

Teams can automate individual tasks and see immediate benefits. A sourcing tool can help identify talent. A screening solution can evaluate candidates. A scheduling application can reduce manual coordination.

The next stage of AI maturity is connecting these capabilities so intelligence can move across the hiring journey – and increasingly, enabling agentic AI to use that intelligence to help coordinate actions and workflows across it.

When systems rely on different data and produce disconnected insights, teams may gain efficiency in individual tasks without improving the recruiting experience as a whole.

Adding more AI is only part of the answer.

The path to stronger AI recruiting ROI is about connecting data, workflows, intelligence and human judgment so that each AI-enabled interaction can make the next one more informed and effective – and AI can increasingly help turn those insights into action.

 

Why This Matters for Workday Customers

For organizations using Workday, this creates a valuable opportunity.

Workday can provide a strong foundation for core HR and recruiting data, while the broader candidate journey extends across many interactions before and after an application. Candidates discover jobs through career sites and recruitment advertising, engage with employer content, enter talent communities and move through screening and scheduling workflows.

Connecting the data generated across these interactions gives AI more context to work with.

That is why mature AI involves more than adding automation to existing processes. It requires connected intelligence:  bringing data, responsible AI and workflows together across the hiring journey so intelligence can inform decisions, trigger appropriate actions and continuously improve the experience.

For Workday customers, the opportunity is to connect upstream candidate engagement and attraction data with the recruiting process, creating a more complete view of candidate intent and behavior.

 

AI Maturity Also Depends on Candidate Trust

There is another important part of AI maturity: whether candidates trust the experience.

According to the 2026 research, 34% of candidates believe they have been automatically rejected by AI. Whatever happened behind the scenes, that perception matters because it can shape how candidates feel about the hiring process.

The encouraging news is that candidates are open to AI. The same research found that 63% are comfortable with AI playing a role in hiring. They also want greater clarity, including human review of AI recommendations, the ability to request human review and transparency about how AI is being used.

Mature, human-guided AI should help recruiters make more informed decisions while keeping people actively involved and in control of consequential hiring decisions. It should also give candidates a clearer understanding of how the process works.

 

What Mature, Connected AI Looks Like

In practice, AI recruiting maturity means bringing intelligence into the candidate journey in a connected and purposeful way.

On a career site, AI-powered job search and AI-generated job summaries can help candidates find relevant opportunities and understand roles more quickly. Across candidate engagement, AI-assisted communications can help recruiters deliver relevant messaging at scale.

Further into the process, screening can give recruiters structured candidate information and transparent fit scoring. Connecting that rationale to candidate responses makes recommendations easier to understand and act on. Scheduling automation can then reduce coordination and keep candidates and hiring teams aligned.

The common thread is connected data, contextual intelligence and human oversight working together. As AI becomes more agentic, that connected foundation can also enable AI to coordinate actions across the hiring journey – moving beyond individual task automation toward intelligent orchestration while keeping people in control of critical decisions.

That is the foundation for moving from AI adoption to AI maturity in talent acquisition and turning AI investment into measurable recruiting ROI.

 

The 2026 Opportunity for Workday Customers

For talent acquisition leaders evaluating AI in 2026, the focus is shifting from whether AI belongs in recruiting to how well it supports the complete hiring journey.

If your recruiting technology automates individual tasks while candidate data remains spread across different systems, connecting what you already have could create more value than simply adding another tool.

That is the opportunity behind connected intelligence:  bringing data, AI and workflows together so technology has the context to support better decisions, increasingly orchestrate actions across the hiring journey and create experiences candidates can trust – while keeping people in control.

Ready to move from AI adoption to connected, intelligent hiring?

Start the conversation with Radancy.

 

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