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Singapore leads the region in maturity but faces critical scaling bottlenecks.

SINGAPORE – Media OutReach Newswire – 15 April 2026 – 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.

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.

“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.

Singapore: ahead of the region, but facing a new constraint

These challenges are visible across the region, but they manifest differently in more mature markets. Singapore stands out against the regional baseline with a significantly larger share of organisations having progressed beyond early-stage pilots. While only 17% of organisations across Asia are considered future‑ready, 40% of Singapore organisations have reached the Integrator stage, reflecting stronger early execution and deployment capability.

However, the study also finds that the final step to leadership remains the most difficult. Only 3% of Singapore organisations have reached the “Leader” stage of AI infrastructure maturity, signalling that even in Asia’s most mature AI market, the transition from integration to full leadership remains difficult.

Scaling, not adoption, is now the key challenge

In Singapore, where adoption is more advanced, the constraints have shifted. Limited infrastructure headroom, shortages in specialised operational expertise and continued investment discipline are now emerging as the primary barriers to scaling AI workloads and sustaining leadership.

“For Singapore, AI adoption is relatively mature; the defining challenge now is scaling deployments fast enough to support real‑world demand,” said Mingcheng Lim, Country Head – Singapore, ST Telemedia Global Data Centres. “Whether the country can maintain its lead in the region will depend on whether infrastructure capacity, specialist expertise and investment approaches can evolve at the same pace as AI workloads.”

Sustainability awareness has yet to shape infrastructure choices

In Singapore, regulatory expectations have driven relatively high awareness of sustainability issues. However, sustainability continues to rank among the lowest priorities when organisations evaluate infrastructure providers, highlighting a gap between awareness and action, even as power density, thermal efficiency and long‑term cost efficiency become increasingly important to scaling AI responsibly.

The mismatch between wants and needs persists

As with the wider region, Singapore organisations continue to evaluate infrastructure providers based on familiar baseline criteria, even as their scaling challenges point to a growing need for specialist expertise, speed to scale and sustainable, high‑density infrastructure capability.

These findings suggest that Asia’s next phase of AI progress will be defined not by ambition alone, but by execution capability. For Singapore, sustaining regional leadership will depend on infrastructure strategies that support scale, resilience and speed, enabling organisations to convert early AI momentum into enduring competitive advantage.

To download the report, Mind the Gap: Bridging the AI Infrastructure Readiness Divide, please visit: https://www.sttelemediagdc.com/resources/ai-readiness-assessment-report.Hashtag: #STTelemedia #STTGDC

The issuer is solely responsible for the content of this announcement.

About ST Telemedia Global Data Centres

ST Telemedia Global Data Centres (STT GDC) is one of the fastest-growing data centre providers with a global platform serving as a cornerstone of the digital ecosystem that helps the world to connect. Powering a sustainable digital future, STT GDC operates across Singapore, the UK, Germany, India, Italy, Thailand, South Korea, Indonesia, Japan, the Philippines, Malaysia and Vietnam, providing businesses an exceptional foundation that is built for their growth anywhere. For more information, visit.

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Singapore’s crowded digital marketing sector has gained a new entrant after SEOExpert said it was launching with proprietary artificial intelligence tools and a results-only commercial pitch aimed at small and medium-sized enterprises, stepping into a market where agencies are increasingly selling automation, search visibility and measurable returns as core differentiators.

The company, which appears to have been incorporated in Singapore in March 2026 as SEOEXPERT PTE. LTD., is presenting itself as a performance-driven agency focused on SEO, paid advertising and social media marketing. Its public-facing claims centre on AI-assisted content publishing, competitor monitoring, campaign optimisation and lead qualification, alongside a “no long-term contracts” offer and a promise to be judged on outcomes rather than retainers alone. That message lands at a time when many smaller businesses are under pressure to justify every marketing dollar and are increasingly wary of vague promises around rankings and traffic.

The broader backdrop helps explain why such positioning may resonate. Singapore’s digital economy accounted for 18.6 per cent of gross domestic product in 2024, up from 14.9 per cent in 2019, according to the Infocomm Media Development Authority, while SME adoption of AI more than tripled in one year to 14.5 per cent in 2024. That expansion has widened the addressable market for agencies promising to help firms compete online, but it has also sharpened scrutiny of whether AI-branded services genuinely improve sales, lead quality and discoverability or merely repackage familiar tactics with new language.

SEOExpert is entering a field where established players already market many of the same ideas. Rival agencies in Singapore promote AI-assisted SEO, performance pricing, flexible contracts and proof-of-results case studies, while independent directories and agency marketplaces show a busy, fragmented sector serving everything from small retailers to larger regional brands. That means the newcomer is not inventing a category so much as trying to sharpen a proposition around trust, transparency and speed of execution. The challenge will be whether it can demonstrate that its systems produce durable gains rather than short bursts of visibility.

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The AI element also cuts both ways. Automation can help agencies monitor competitors, scale content operations and identify technical issues faster, which may lower delivery costs and shorten turnaround times. At the same time, search platforms and clients alike are becoming more alert to thin, repetitive or mechanically generated material. That raises the bar for agencies claiming proprietary tools. The real test is not whether software is involved, but whether the work improves relevance, authority and user experience in a way that survives algorithm changes and stricter expectations from search engines and AI-driven discovery platforms.

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