Day 2 of HR Tech Asia 2026: Purpose, People Data, and the Human Side of AI Transformation

Why It Matters

HR must own the human side of AI to unlock talent retention, upskilling, and ethical compliance, making it a strategic differentiator for organisations navigating digital disruption.

Key Takeaways

• UOB’s Better U Pivot shows 80% reskilling success rate.
• Cornerstone’s PeopleGraph delivers real‑time workforce intelligence using AI.
• 91% of AI adoption issues stem from cultural, not technical, factors.
• HR governance must address bias, transparency, and ethical data use.
• HR leaders urged to own AI transformation, not just support it.

Pulse Analysis

Purpose‑driven HR is emerging as a competitive advantage, especially in regions facing demographic shifts. UOB’s Better U Pivot Programme pairs purpose conversations with AI‑generated training, allowing displaced employees to transition into new roles with an 80% success metric. By protecting employees from performance reviews for a year and offering a Gig+U part‑time model, the bank tackles Singapore’s rising retirement age while preserving employee purpose—a proven lever for engagement and retention.

Dynamic people data is reshaping workforce planning. Cornerstone’s PeopleGraph aggregates internal HR signals with 28 TB of open‑source labour market data, delivering real‑time visibility into skill gaps, succession risk, and emerging talent trends. The platform’s AI‑driven approach slashed a typical 12‑month, multi‑million‑dollar job‑architecture overhaul to just 12 weeks, illustrating how intelligent data layers replace static reporting with actionable insight. Companies that adopt such living workforce maps can proactively re‑skill staff, reduce turnover, and align talent supply with rapid market changes.

Governance and cultural readiness are the true bottlenecks in AI adoption. Rita Tsui’s framework stresses fairness, transparency, and ethical data use, turning compliance checklists into daily cultural prompts. Dominique Rose Van‑Winther reinforced that 91% of AI challenges are human, urging HR to champion change management, address visibility, reward, and trust binds, and embed AI stewardship within HR’s core remit. Organizations that empower HR to steer AI strategy now will set the standard for the next decade, while those that wait risk falling behind in an increasingly automated talent landscape.