APAC AI Spending Surges but Most Businesses Still Can't Measure Returns
Source: Techgoondu
AI spending across Asia-Pacific is climbing at a blistering pace, but a majority of business leaders admit they cannot clearly attribute revenue or cost savings to their AI investments — a tension that Singapore's AI-heavy economy is navigating in real time.
AI spending across Asia-Pacific is climbing at a blistering pace, but a majority of business leaders admit they cannot clearly attribute revenue or cost savings to their AI investments — a tension that Singapore's AI-heavy economy is navigating in real time.
According to the Expereo report, APAC AI infrastructure spending surged 40% year-on-year, with Singapore ranking among the top three markets. However, only about a third of surveyed executives could identify concrete ROI from AI deployments, with most citing intangible benefits like improved customer satisfaction or brand perception.
The spending-without-clear-ROI pattern mirrors earlier technology cycles — cloud computing and big data went through similar growing pains. Singapore's position is distinctive: government-driven AI adoption through Smart Nation and IMDA initiatives creates structural demand that cushions private-sector uncertainty. But for SMEs, the compute cost and integration complexity of AI remain significant barriers to measurable returns.
The report suggests that early movers absorb costs for long-term positioning while companies that delay risk falling behind competitively. For Singapore's finance sector — the heaviest AI investor locally — regulatory compliance requirements may be driving adoption more than immediate profitability.
Why it matters for Singapore: With Singapore leading APAC in AI spending intensity, the ROI question is especially relevant here. The government's ability to structure AI procurement around measurable outcomes through Smart Nation and GovTech could provide a template that helps the private sector move from faith-based AI investment to evidence-based deployment.