Many analysts report that traditional approaches to talent management are giving way to dynamic, data-driven strategies enabled by HR tech. Sara Gutierrez, chief science officer at talent acquisition platform SHL, says artificial intelligence is at the heart of this transformation.
“Roles are becoming more fluid, teams more cross-functional and career paths less linear,” Gutierrez explains. Organizations that adapt to this shift will be best positioned to attract, retain and develop top talent, she predicts.
The HR tech marketplace is populated with new, AI-powered talent intelligence tools that provide insights into workforce capabilities. These tools are moving companies beyond rigid job frameworks, allowing them to think more strategically about skills, potential and future readiness.
“Where we once operated reactively—filling roles, plugging gaps and relying on intuition—AI is helping us operate proactively,” Gutierrez says. The technology enables organizations to forecast critical skills, identify employees with growth potential and meaningfully personalize development, she says.
Critically, this approach is not about automation but augmentation. By using bias-mitigated, data-driven assessments, companies can uncover talent in unexpected places, including among neurodiverse candidates and those without traditional credentials.
According to Gutierrez, the future of work is clear: Career paths are becoming more like skill trees than linear ladders, and internal mobility is no longer a luxury—it’s a necessity. For many HR leaders, enabling this will require technology support.
As Gutierrez emphasizes, “The most inclusive organizations will be those that use AI not to reinforce old patterns, but to challenge them.”
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