System of action: How AI is reshaping the talent acquisition operating model

For the past two decades, technology has transformed how talent acquisition is managed. Applicant tracking systems, CRMs and point solutions have given organizations visibility, data and control.

Yet the operating model behind talent acquisition has remained largely unchanged: technology recorded work, and people performed it.

That dynamic is changing. As AI becomes capable of participating in execution — shifting work into what McKinsey & Company defines as the new Agentic Era, where systems “act in the real world and execute multistep processes” — the operating model that brought talent acquisition this far won't take it where it needs to go next.

At the same time, expectations continue to rise. If you’re leading hiring today, you’re expected to improve outcomes, deliver exceptional candidate experiences, provide strategic workforce insight and help your organization adapt to constant change.

Meeting those growing expectations requires more than visibility into the hiring process. Technology adoption laid the foundation for recording some of the work, but the next step is taking a more holistic approach to how talent acquisition gets work done.

From system of record to system of action

For years, TA tech has been designed to store information, carry out discrete actions, track activity and improve visibility. But AI changes that dynamic. Gartner forecasts that 15% of day-to-day enterprise work decisions will be made autonomously by 2028. As technology moves beyond recording work, it can now participate in the execution — coordinating workflows, completing routine tasks, surfacing insights and supporting decision-making.

At Cielo, we define this next evolution of talent acquisition as the shift toward a system of action: an operating model that connects data, workflows, AI-powered execution and human expertise to drive better outcomes. Rather than serving primarily as a system that records activity or stopping at execution, technology becomes part of how work is orchestrated and delivered. Here’s how a system of action differs from a traditional system of record.

While systems of record store information and track activity, a system of action helps coordinate workflows, execute routine tasks, surface insights and connect human expertise to drive outcomes. In practice, that means fewer manual handoffs, less process friction, and a smoother path from opening a role to making a hire.

This new operating model creates opportunities to deliver talent acquisition differently. Candidate engagement becomes more scalable and personalized. Workflows become more connected. Insights become more actionable. Talent teams increase their impact without increasing complexity.

For years, talent acquisition leaders have focused on improving how work is tracked. The opportunity now is to redesign how outcomes are delivered.

How talent leaders can think about the next operating model

The organizations creating the greatest advantage from AI aren't focused solely on deploying new tools. They're using this moment to rethink how work gets done.

As technology moves beyond recording work to participating in it, new considerations emerge:

• How should work flow across people, technology and AI-powered execution?

• Where does human expertise create the greatest value?

• How can TA deliver better outcomes without adding complexity?

These considerations increasingly shape the outcomes you’re accountable for — from candidate experience and recruiter effectiveness to hiring manager support and business impact.

Why AI increases the value of human expertise

A system of action is built on more than technology. It depends on the combination of data, workflows, AI-powered execution and human expertise.

As technology takes on more work, human expertise becomes even more valuable. Judgment. Adaptability. Relationship-building. These capabilities have shaped hiring and remain essential to candidate decisions, hiring manager relationships and workforce planning. What’s changing is how much time and energy teams can devote to them.

Cielo's research on the rise of the Supergeneralist reinforces the growing importance of adaptability, cross-functional thinking and the ability to work effectively alongside AI. Success depends less on executing a single task and more on navigating complexity, connecting information and applying human judgment where it matters most.

This is one of the most meaningful advantages of the new operating model. By moving routine execution to technology, talent teams can focus more of their attention on the work that drives the greatest impact for candidates, hiring managers and the business.

The system of action era is now

Few moments have given TA leaders this much influence over how value is created.

Previous waves of technology changed how hiring was managed. The challenge now is deciding how it should be delivered.

The decisions you make today will shape how talent acquisition operates, scales and creates impact in the years ahead.

The next era of talent acquisition is already taking shape. As technology continues to evolve, your opportunity is to adopt a new operating model that connects human expertise, AI-powered execution and connected workflows to create better outcomes.