Singapore Firms Are Spending Big on AI — and Getting 3% Productivity Back

Singapore companies are pouring money into artificial intelligence — and getting surprisingly little back from it. New analysis from Gartner suggests the problem is not the technology, but how it is being rolled out: only one in five organisations here considers its workforce AI-ready, and the productivity returns executives were promised are nowhere close to what employees are actually seeing.

The numbers frame the disconnect sharply. Business leaders went into their AI deployments expecting productivity improvements of around 18%, according to Swagatam Basu, Senior Director Analyst in Gartner's HR practice. Workers who use AI frequently are currently seeing closer to 3%. Basu attributes the gap to organisations prioritising adoption over effective use — employees are being pushed to use AI before they see its value, which undercuts both productivity and engagement.

The pattern will be familiar to anyone watching Singapore's enterprise AI push: spending is easy to measure, outcomes are not. Adrian Choo, CEO of Career Agility International, points to organisations introducing AI without first identifying the operational problems it is meant to solve, and argues for starting with workflows and bottlenecks rather than platforms. He also flags the messy reality of tool sprawl — employees who have already trained their personal AI assistants keep using them, while others avoid corporate systems for sensitive work out of fear their activity is being monitored. That combination, Basu warns, raises data privacy and intellectual property risks as personal tools sit alongside enterprise platforms.

The findings cut against the direction Singapore's own AI strategy has been nudging firms. Government programmes — from the National AI Strategy's enterprise tracks to IMDA's accreditation push — assume that adoption translates into value. This data suggests the missing step is organisational readiness: redesigning workflows, rebuilding employee trust, and giving workers a genuine reason to use the tools they are being handed.

Why it matters for Singapore: As one of Asia's most aggressive AI adopters, Singapore is effectively the test case for whether enterprise AI investment pays off. If local firms keep measuring adoption instead of applying AI to critical business tasks — the shift Basu recommends — the productivity dividend will stay out of reach, and the gap between AI spending and economic output will keep widening. The next few quarters will show whether Singaporean companies learn to close that gap before investment fatigue sets in.