HR transformation: Reinvent or risk being left behind

By 2030, 50% of HR activities will be AI-automated while the rest will be augmented. Zensai has gained access to an exclusive flex report from Gartner. It details their findings on how AI is set to change Human Resource work. Keep reading to learn why HR transformation in the AI era must be HR-led and what it could look like. 

This is a pivotal moment. How you choose to redesign HR solutions and workflows will have a huge impact on the success of your people management initiatives. Here is a breakdown of the best way forward.

How AI tools will push HR to evolve 

Gartner’s prediction for 2030 might sound bold. However, it’s a lot more believable when you look at what’s already happening. By early 2025, 61% of HR leaders reported they were in the advanced stages of GenAI implementation according to Gartner. More than triple the percentage who said the same in 2023 (19%). 

On top of that, 82% are already planning to deploy agentic AI. What does that mean for AI in HR in practical terms? 

Gartner defines agentic AI as, “the broader approach to building AI solutions based on the use of software entities that classify completely or at least partially as AI agents.” 

An AI agent is autonomous/semi-autonomous software. It can make decisions and take actions within its environment. They go beyond simple automation to perform actual, autonomous decision-making with human oversight. But how will this impact HR transformation? 

In short, I believe that AI won’t just make HR tasks faster. It’ll redefine the entire operating model for businesses going forward.

The three areas of HR transformation 

Here’s a quick breakdown of the three areas where AI will bring about the most significant HR transformation:

HR operations 

Gartner predicts that, in the future, AI will handle all tier 0 (self-service) and tier 1 (basic support) HR requests. These encompass the most low-level tasks. Jobs that more junior team members typically handle. They include, but aren’t limited to admin, payroll, and time/attendance. 

This represents a major shift away from traditional shared services models to one of full digital delivery. The aim of this HR transformation is for AI to provide simpler, always-on support in any language to streamline the employee experience. 

HR business partners 

HR business partners (or HRBPs) act as the bridge between HR and your organization’s leadership. Human HRBPs certainly aren’t going anywhere. But they can definitely benefit from incorporating AI into their workflows. 

At the moment, according to Gartner’s findings, one HRBP typically supports around 423 employees. In the next 1-5 years, they predict this ratio could rise to one for every 800-1200 as AI automates key functions. Using this level of support, you can turn HRBPs into strategic talent leaders. 

Centers of Excellence (CoEs) 

In HR terms, Centers of Excellence (CoEs) are specialized teams responsible for designing, improving, and delivering key HR solutions for areas such as: 

• L&D 

• Talent acquisition 

• Performance management 

• Rewards 

• Wellbeing 

• Workforce planning 

The most drastic change for CoEs is arguably the shift from standardized services to hyper-personalized delivery. AI-enabled HR transformation makes this possible by automating the underlying functions. This empowers CoEs to provide levels of personalization that were previously unscalable. 

With AI-powered HR software, you can deliver personalized learning paths, tailored onboarding, and fully adaptive performance management practices. That way, you can treat your people like the individuals they are.

Why operating model change is the real unlock 

The crux of Gartner’s flex report is this: Adapt or become irrelevant. That’s why they stress it’s not enough to simply deploy isolated AI solutions. Instead, HR must reinvent their entire operating model. 

That’s because operating model change drives 29% of predicted productivity gains. This exceeds both AI skills and knowledge sharing. If you just deploy AI without structural redesign, it won’t have the integration it needs to be fully effective. 

It’s also imperative that HR leads this change going forward. If you leave it for IT or senior leaders to oversee, then you risk human-led HR fading into irrelevance.

How should you approach HR transformation? 

If CHROs want to lead AI-enabled HR transformation, they need to accomplish three things: 

• Redesign roles for an AI-first workplace: Determine which roles can be fully AI-automated and which still need human involvement. Transform manual shared services into digital HR solutions. Then support HRBPs to become strategic talent leaders and upskill CoEs into product managers for hyper-personalized HR systems. 
   

• Build AI-ready infrastructure: AI is only as good as its data. That’s why you need to ensure readiness with clean, consistent data for HR metrics. You also need to ensure tech readiness with scalable, seamless HR systems. Then support them with process readiness by reimagining workflows from the ground up. 
   

• Upskill your teams: Beyond preparing HR teams, you also need to upskill the rest of the organization in AI fluency, data judgement, and transparent communication practices. Without this upskilling, you won’t be able to implement AI safely or effectively. 

Your chance to redefine HR solutions with AI 

AI is set to automate 50% of HR tasks and augment 100% by 2030. So, it seems the AI era is well and truly upon us. Although there’s definitely pressure to scale back the human elements of HR, this is a trap. 

Proper AI implementation frees HR to become more human. It’s a shift from administration to being designers of experience, culture, and capability. Now HR leaders must reinvent the future instead of being overtaken by it.