A new regional study by ST Telemedia Global Data Centres (STT GDC), Mind the Gap: Bridging the AI Infrastructure Readiness Divide, reveals that while 90% of Asian organisations have started their AI journeys, 71% are currently stuck in the “Builder” stage—unable to scale pilots into production due to critical infrastructure and talent gaps.
The research, covering over 600 leaders across nine markets including Malaysia and Singapore, suggests that the “honeymoon phase” of AI experimentation is over, replaced by a harsh reality: AI success now depends more on the foundational physical layer than on the models themselves.
The Scaling Bottleneck
Despite the hype, only 17% of organisations in Asia are considered “future ready”. Most are trapped in a cycle where they run AI on legacy infrastructure that cannot handle production-level workloads, leading to poor ROI and difficulty justifying the investment needed for high-density environments.
- The Talent Gap: A lack of specialised operational skills to manage complex, AI-optimised infrastructure remains a top-tier barrier to growth.
- Singapore’s Advantage: Singapore is the regional outlier, with 40% of its organisations reaching the “Integrator” stage, far outpacing the 17% regional average.
The Sustainability Blind Spot
As AI power density and cooling demands skyrocket, the research highlights a dangerous disconnect between corporate ESG goals and actual infrastructure procurement.
| Infrastructure Priority | Asia Regional Average | Strategic Implications |
| Performance & Cost | 64% of organisations. | Short-term gains are being prioritised over long-term Total Cost of Ownership (TCO) and thermal efficiency. |
| Sustainability/ESG | 27% of organisations. | Sustainability remains a “secondary” factor in provider selection, despite rising regulatory pressure. |
| The Scaling Risk | High. | Without “responsible scaling,” power density constraints will eventually halt AI deployment regardless of budget. |
Singapore’s “Leadership Gap”
Even in the region’s most mature market, the final step is the hardest. Only 3% of Singaporean organisations have achieved “Leader” status in AI maturity. The barriers have shifted from “How do we start?” to “How do we find the power and space to grow?”.
Editor’s Take: Moving from “Training” to “Foundations”
For the Malaysian Business reader, the STT GDC report is a stark warning: AI is no longer a software problem; it is a real estate and energy problem. As Chris Street (CRO of STT GDC) points out, the ability to convert AI ambition into business value is now tethered to scalable infrastructure. For Malaysia, which is seeing a surge in data centre investments, the focus must shift toward high-density readiness and specialist talent if we are to avoid the “Builder” trap and leapfrog into the “Future Ready” category.
To download the report, Mind the Gap: Bridging the AI Infrastructure Readiness Divide, please visit: https://www.sttelemediagdc.com/resources/ai-readiness-assessment-report.