Agentic AI adoption in Singapore more than doubled in 2026, with 51% of organisations now deploying the technology, up from 22% in 2025. The shift is reshaping what employees actually do day-to-day, even though job titles have not kept pace with the change.
"AI is changing job content much faster than it's changing job titles," said Audrey Chan, executive director and head of human resources practice at Kerry Consulting. She told Channel News Asia that employers are prioritising workers who can apply AI to improve productivity and rethink processes.
A separate SAP survey across 200 firms found that 92% were exploring or already using agentic AI, up from 69% last year. The numbers point to a workforce in transition - one where directing digital agents is becoming a core expectation rather than a niche skill.
What agentic AI looks like in practice
Ong Zhi Chuan, a senior manager in assurance at EY, described a task that once took two hours of detailed document review now taking about three minutes. He directs AI agents with a few clicks to analyse working papers while he shifts his attention elsewhere.
But the expanded use of AI agents has not reduced the need for human oversight. EY Singapore's head of assurance Lee Wei Hock said professional judgement remains non-negotiable. "The tolerance for error arising from AI hallucination is very thin. In fact, it's almost non-existent," he said.
SAP Singapore's managing director Eileen Chua described the core skill requirement as AI bilingualism - fluency in both one's profession and in AI. "AI has crossed a very important threshold, that it is no longer a tool that employees use on the side. Rather, it's becoming more and more embedded into the core processes that run businesses," she said.
The gap between adoption and execution
Despite the surge in deployment, most organisations have not moved beyond surface-level use. Only 10% of employers have redesigned processes where AI Agents & Automation complete multi-step business tasks end-to-end, according to the ServiceNow report. A third are using it only to assist employees with day-to-day tasks.
CK Tan, APJ Innovation Officer at ServiceNow, said the focus of investment needs to shift. "Singapore is ahead on foundations, but weaker on embedding AI into daily operations. If the next wave of investment goes mainly into tools rather than workflow redesign, the maturity gap will widen instead of close," he said.
For HR leaders, this signals that buying AI tools is not the same as integrating them. The organisations seeing real returns are the ones redesigning how work flows, not just adding AI assistants to existing processes.
Why this matters for HR professionals
The job titles on your org chart are lagging behind what your people actually do. Chan's observation that AI changes job content faster than titles means HR teams need to rewrite job descriptions, competency frameworks, and performance criteria around skills like directing AI agents and exercising judgement over AI outputs - not around static role definitions.
The concept of AI bilingualism should inform hiring and L&D priorities. Candidates and current employees need depth in their functional expertise plus the ability to instruct and validate AI. Screening for one without the other will leave gaps that surface-level AI for Human Resources training cannot fill. The 90% of firms that have not yet redesigned end-to-end processes represent a competitive window - and a retention risk if employees grow frustrated with tools that sit on top of broken workflows.
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