HR leaders who master AI-powered people analytics are transforming from rearview reporters into strategic navigators who can pinpoint exactly which talent issues will cost millions and how to fix them before competitors do
The role of people analytics in HR is undergoing a fundamental transformation, shifting from descriptive reporting to predictive insights powered by artificial intelligence, and HR leaders who fail to adapt risk being left behind.
Justin Angsuwat, chief people officer at Culture Amp, believes the evolution of people analytics has reached a critical inflection point. While organisations have traditionally relied on what he calls very descriptive analytics– basic metrics like turnover numbers – the field has rapidly progressed through diagnostic analytics (understanding what's driving issues), predictive analytics (forecasting future trends), and now prescriptive analytics (receiving actionable recommendations).
Angsuwat useda compelling analogy to describe this shift: People analytics works like a paper map. You need to know where you are, where you want to go, and you have to figure out the route and then do that navigation yourself. But I see that AI has turned that into GPS, where you type in where you want to go, and it just tells you the fastest route.
This represents a massive shift from HR teams spending months on analyses to nowgetting real-time personalised guidanceon what to do next.
However, there's a catch. Organisations must ensure their data foundation is solid, as AI is really only as good as the data underneath it. Many organisations need to go back to the start and make sure their data foundation is really solid before they can leverage predictive tools effectively,Angsuwat said.
From gut instinct to strategic insight
At Culture Amp, the application of advanced people analytics has yielded concrete results. Using predictive analytics, the company discovered that high performing women in engineering were at one of the highest interest and risk levels for turnover.
This insight allowed leadership to share that with my PX organisation and we can really serve resources in this one critical area and know how to address this very specific employee need.
Before implementing these analytics capabilities, Angsuwat said teams were either operating from gut where you're looking in the rear view mirror and hoping that that's the same view that you're getting out of the windshield.
On top of that, Culture Amp has evolved its approach from providing singular engagement scores to what it calls the Performance Culture Quadrant. This framework maps organisations across two axes – workplace engagement and performance confidence—revealing distinct organisational states:
1.Peak performance (high engagement, high performance confidence)
2.Engaged skepticism (high engagement, low performance confidence)
3.Strained (low engagement, high performance confidence)
4.Disconnected (low engagement, low performance confidence)
This level of diagnostic precision transforms HR conversations at the board level. Rather than reporting that engagement scores sit at a certain number, HR leaders can now say: This specific issue is going to cost you $3 million if you don't address it.
What HR leaders need to know
The skills required for HR success are changing rapidly. Domain knowledge is very quickly becoming a commoditywith AI equalising the playing field, according to Angsuwat.
The critical shift for HR leaders is being able to know what AI is capable of and being able to ask the right questions. This doesn't mean HR professionals need to become data scientists or learn to code, but they do need to understand how technology functions and what questions to pose.
The responsibility for upskilling is shared. Organisations need to create the right environment for people to be able to use AI, Angsuwat said, because AI is only as good as the culture it lands in.
He added: If your people don't trust leadership, no amount of AI tooling is going to really fix that. But if the trust is there, AI becomes a genuine multiplier.
At the same time, it's incumbent on the individual to show that curiosity to go explore AI, because there isn't a linear path in learning or knowing AI.
Democratising insights across leadership
Perhaps the most significant advancement is the democratisation of analytics. At Culture Amp, every leader in our organisation understands what drives engagement and performance in their part of the organisation without needing to request custom data cuts from the analytics team, saidAngsuwat.
Leaders can have a conversation with our AI coach and learn what drives their organisation and then they can go take action on that.
This represents a paradigm shift where analytics don't need a hypothesis and teams no longer need to chase after hypothesis for weeks or months.
For HR leaders still on the fence about diving into data and analytics, The AI-powered transformation of HR is here whether you're ready or not, he said, urging leaders to secure their data foundations and develop AI fluency before competitors gain an insurmountable advantage.
People analytics has evolved from a nice-to-have reporting function into a strategic imperative that can unlock millions in value, prevent costly turnover, and transform HR into a core driver of business performance.
