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Infrastructure limitations, capability gaps, long build timelines, and fragmented decision-making rarely exist in isolation. They reinforce one another, creating compounding friction that becomes most visible at the point where AI initiatives need to scale. Progress slows not because any single constraint is insurmountable, but because the system to move forward in a coordinated way.

ST Telemedia Global Data Centres’ regional study, Mind the Gap: Bridging the AI Infrastructure Readiness Divide, establishes how Asia’s AI journey has moved beyond early experimentation. Across markets, organisations are actively piloting new use cases at pace.

Many organisations have already moved beyond asking whether AI matters. Across Asia, the more pressing question is whether they are equipped to run it reliably at scale. As AI shifts from experimentation into operational use, competitive outcomes are being shaped less by ambition alone and more by the infrastructure, operating models and specialist capabilities that support deployment in production. This is where the next divide is emerging.

Many organizations invest heavily in AI tools and talent, only to encounter a critical bottleneck: infrastructure. AI workloads place far greater demands than traditional enterprise IT, requiring higher power density, advanced cooling, low-latency connectivity, and robust security. Without environments built for these needs, even promising AI initiatives struggle to scale reliably.

While nearly 90% of organisations across the region have initiated AI efforts, momentum is increasingly stalling where it matters most: turning pilots into measurable business value. As AI matures, success is no longer defined by experimentation, but by the ability to execute at scale.

Findings from ST Telemedia Global Data Centres’ inaugural Mind the Gap: Bridging the AI Infrastructure Readiness Divide report brings this into focus. Across the region, AI ambition is widespread: nearly 90% of organisations in Asia have already embarked on their AI journey, but most are struggling to move beyond experimentation.

Strategically located within the Greenland International Industrial Centre (GIIC), STT Jakarta 6 is part of the STT Jakarta Data Centre Campus and contributes to its planned capacity of over 360MW.

Strategically located within the Greenland International Industrial Centre (GIIC), STT Jakarta 5 is part of the STT Jakarta Data Centre Campus and contributes to its planned capacity of over 360MW

STT Jakarta 2 is the second data centre facility in Indonesia and is part of the STT Jakarta Data Centre Campus, strategically located within the Greenland International Industrial Centre (GIIC). As part of a campus designed to deliver more than 108 megawatts of IT capacity, STT Jakarta 2 will contribute to the growth of Indonesia’s digital transformation.

Strategically located within the Greenland International Industrial Centre (GIIC), STT Jakarta 3 is part of the STT Jakarta Data Centre Campus and contributes to its planned capacity of over 250MW, supporting Indonesia’s growing digital economy.

Asia is winning at AI ambition but lacking in AI infrastructure. While nine in ten organisations have deployed AI, only one in six can actually scale it. This gap isn't just a technical problem—it's an economic competitiveness crisis.

STT GDC Thailand advises building tomorrow's digital infrastructure, securing power that is both "clean" and "reliable" to support AI-driven growth, highlighting a strategy to forge Thailand into a sustainable AI leader.