SINGAPORE, Radarseluma.disway.id - Media OutReach Newswire - ST Telemedia Global Data Centres (STT GDC), one of the world's fastest-growing data centre colocation service providers headquartered in Singapore, today announced the findings of a new regional research study, Mind the Gap: Bridging the AI Infrastructure Readiness Divide, examining how organisations across Asia are progressing from AI ambition to execution. Commissioned by STT GDC with research partner Ecosystm, the study surveyed more than 600 enterprise and digital-native leaders across nine Asian markets: India, Indonesia, Japan, Malaysia, the Philippines, Singapore, South Korea, Thailand and Vietnam.
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High adoption, limited readiness across Asia
The report reveals that AI ambition across Asia is high, with nearly 90% of organisations having embarked on their AI journeys. However, a significant 71% remain in the "Builder" stage of maturity, where initial AI pilots struggle to scale into production environments capable of delivering consistent and measurable return on investment (ROI). In contrast, only 17% of organisations are considered "future ready", having invested in scalable infrastructure, mature data governance and specialised operational expertise, highlighting a widening readiness gap across the region.
Challenges faced by the Builders
Across Asia, the research identifies a reinforcing cycle that keeps many organisations stuck in pilot mode. AI initiatives are often launched on infrastructure that cannot scale to production, limiting their ability to demonstrate measurable ROI and making it harder to justify further investment in purpose-built, high-density environments. This challenge is compounded by gaps in in-house expertise, with many organisations lacking the specialist operational skills required to manage increasingly complex AI infrastructure at scale.
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"Across Asia, organisations are moving quickly from experimentation to implementation, but many are discovering that AI success now depends less on training models and more on foundations," said Chris Street, Group Chief Revenue Officer of ST Telemedia Global Data Centres. "Without scalable infrastructure and operational readiness in place, it becomes difficult to convert early AI ambition into consistent business value."
The Sustainability Blind Spot
Despite rising energy and cooling demands driven by AI workloads, sustainability considerations remain secondary for most organisations when evaluating infrastructure options. Although 27% of organisations say ESG goals will actively shape or be central to their future plans, 64% of organisations across Asia continue to prioritise performance or cost, even as power density, thermal efficiency and long‑term total cost of ownership become increasingly critical factors in scaling AI responsibly.
A disconnect between what organisations want and what they need
The study also highlights a persistent disconnect between how organisations evaluate infrastructure partners and the capabilities they actually need to scale AI. Across Asia, organisations continue to prioritise baseline requirements like security and reliability, despite identifying operational expertise, scalability and cost efficiency as their most significant challenges.