AI is fundamentally transforming people analytics, moving HR from traditional workflow-based processes to real-time insights and predictive analytics. Justin Angsuwat of Culture Amp highlights how AI can identify specific issues that affect performance, such as employee engagement, and provide actionable solutions. HR leaders must adapt quickly, focusing on AI literacy and data management to maintain a competitive edge.

A cohesive HR technology stack requires collaboration among HR, IT and finance, according to members of the Forbes Human Resources Council. They recommend starting with data governance, establishing a single data source and conducting regular tech audits to ensure security and compliance. "HR, IT and finance must align from day one to ensure systems are secure and fiscally sound," says Sherry Martin. "By partnering early, these departments bridge the gap between user experience, data privacy and budget."

Companies are investing heavily in AI-powered HR tools, with budgets expected to reach $1.6 million by 2026, according to an ISG report. However, many organizations are not seeing meaningful results, as AI-driven productivity gains have been modest. The main challenges are data integration and governance, but a bigger issue is that organizations are approaching AI on a process-by-process basis rather than as a tool to redesign work.

Employee engagement technology often faces cuts during budget tightening because HR struggles to demonstrate its financial impact, says Rebecca Wettemann, CEO of Valoir. Wettemann notes that HR relies on self-reported survey data, which fails to convince CFOs of a direct link between engagement and business outcomes. Wettemann suggests HR should use operational data to highlight risks, such as reduced productivity and legal exposure from disengaged employees.

Employee engagement worldwide fell to a post-pandemic low of 20% last year, according to Gallup, which began tracking the metric in 2009. The State of the Global Workplace report shows that remote workers are more engaged than hybrid or on-site workers, but are also more likely to experience sadness and loneliness.

A Docebo report highlights a gap between AI training and on-the-job confidence: 66% of employees feel unsupported by their organizations, and 57% find the training irrelevant to their roles. The report suggests that companies should provide role-specific training to boost engagement and AI readiness.

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