Fear of missing out: why Asia-Pacific firms pour money into AI despite scant returns
A survey finds Asia-Pacific firms are spending aggressively on AI even when they have not fully measured results, driven by fears of falling behind rivals.
Intelligence analysis by GPT-5.4 Mini
A survey commissioned by Expereo says many Asia-Pacific enterprises are pushing money into AI before proving it works, with Singapore standing out for rapid adoption. The article frames the rush as a gap between AI ambition and measurable outcomes.
Many companies in Asia-Pacific are buying lots of AI tools because they do not want to be the last one to try them. It is like a class where everyone starts using a new fancy calculator, even before anyone knows if it helps with homework.
A survey says a lot of these companies are spending money but not checking carefully whether the tools actually help. That means some are acting fast first and asking questions later.
Singapore is one place where this rush is especially strong. The article says the big challenge is making sure the new tools really work and that the company’s computers and networks can handle them.
Analysis
What the survey found
A market consultancy survey commissioned by Netherlands-based managed network-as-a-service provider Expereo suggests that many enterprises in Asia-Pacific are investing in AI faster than they are checking whether it works. The article says 37% of organisations in the region admitted to investing aggressively in AI with little assessment of outcomes, compared with a global average of 20%.
Where the pressure is coming from
The piece says the main driver is fear of being left behind. Ben Elms, Expereo’s chief executive, says every enterprise the company speaks to is investing in AI, but there is a widening gap between “AI ambition” and “AI outcomes.” That framing makes the story less about a single product and more about a broad corporate pattern: companies do not want rivals to move first.
Singapore as an example
Singapore is described as a hotspot for rapid adoption, with more than one-third of organisations in the city state reporting heavy AI investment without fully evaluating the impact. The article places that trend in the context of a wider race to adopt AI across the region, even as companies struggle to show return on investment and ensure their infrastructure can support AI at scale.
Why this matters
The story suggests that AI budgets are not yet tightly tied to proof of value. That matters because it hints at a coming divide between companies that can turn AI spending into usable results and companies that are mostly buying time, confidence, or competitive cover.
Key points
- 37% of Asia-Pacific organisations surveyed said they were investing aggressively in AI with little assessment of outcomes.
- That share is nearly double the global average of 20%, according to the survey.
- The article says fear of being left behind is a major reason companies are moving quickly.
- Singapore stands out, with more than one-third of organisations reporting heavy AI investment without fully evaluating impact.
- The piece says businesses still face problems proving ROI and supporting AI infrastructure at scale.
If companies do manage to close the gap between AI ambition and AI outcomes, the region could turn heavy spending into measurable business gains. The article suggests adoption is already widespread, which gives firms a base to build on if they start evaluating results more carefully.
If firms keep spending without checking impact, they risk pouring money into AI projects that do not deliver returns. The article also points to infrastructure limits, which could make it harder to scale AI reliably across large enterprises.
