ST Telemedia Global Data Centres: Philippines' AI Ambitions Face Infrastructure Gap

STT GDC Philippines CEO shares key findings on the country’s AI readiness and infrastructure gaps shaping its digital future.

• Rising Ambition: Philippine organizations are rapidly embracing AI, with most already moving beyond experimentation into active deployment.
• Infrastructure Limits: Compute, storage, and network constraints are emerging as the biggest barriers to scaling AI initiatives nationwide.
• Talent Shortage: A lack of specialized skills and organizational readiness is slowing progress toward advanced AI maturity.

The Philippines is clearly leaning into artificial intelligence, but the journey toward true scale is proving more complex than expected. According to ST Telemedia Global Data Centres, local organizations are showing strong enthusiasm for AI, yet structural challenges are holding back broader transformation.

On April 22, 2026, the Singapore-headquartered data centre provider released Philippine-specific insights from its latest study, Mind the Gap: Bridging the AI Infrastructure Readiness Divide. The report paints a picture of a market eager to innovate but still building the foundations required to sustain long-term AI growth.

Most Firms Stuck in Early AI Stages

The numbers reveal both progress and limitations. A significant 79% of Philippine organizations are now classified under the “Builder” stage, meaning they are actively deploying early operational AI solutions. This signals a shift from experimentation toward practical use.

However, the momentum slows sharply beyond that point. Only 2% have reached the “Integrator” stage, where AI becomes more embedded and scalable across operations. Not a single organization has achieved “Leader” status, which represents advanced, fully optimized AI deployment. Meanwhile, 19% remain in the “Explorer” phase, still testing the waters.

Infrastructure Emerges as the Biggest Roadblock

As organizations attempt to scale, infrastructure limitations are becoming impossible to ignore. The study found that 71% of respondents identify insufficient compute capacity, storage, or network bandwidth as their top barrier.

While many companies report that their current systems can support basic AI workloads, these setups struggle under heavier demands. In fact, the same percentage, 71%, also point to latency issues, bandwidth constraints, and network bottlenecks as factors already affecting performance.

Talent and Culture Add to the Challenge

Beyond infrastructure, human capital remains a major concern. More than three-quarters, or 76%, of organizations report critical gaps in AI talent. At the same time, 53% admit they lack the in-house expertise needed to manage advanced AI infrastructure and operations.

The issue extends beyond technical skills. Organizational readiness is also uneven, with 94% of respondents describing their company culture as sceptical, cautious, or ambivalent toward AI. This suggests that even when technology is available, internal resistance or uncertainty can delay adoption.

Industry Insight from Leadership

For Carlo Malana, the findings reflect a familiar pattern across emerging AI markets.

Carlo Malana, President and CEO of STT GDC Philippines, emphasized the challenge clearly: “The data shows a clear pattern — Philippine organisations are investing and experimenting with AI, but many are reaching an infrastructure and capability ceiling. Compute, storage and connectivity constraints, combined with a shortage of specialised operational expertise, are making it difficult to move from pilots to reliable, scaled deployment. Addressing these challenges together is essential if organisations are to fully realise the value of AI.”

Future Demand Outpacing Readiness

Looking ahead, the gap between ambition and readiness may widen further. Nearly half of respondents, or 46%, expect their AI workloads to grow by more than 50% within the next one to three years.

Despite this anticipated surge, only 3% say they are currently prepared to scale high-demand AI workloads effectively. This mismatch raises concerns about whether organizations can keep up with their own growth projections.

Understanding the Research Behind the Findings

The study itself provides a structured way to assess AI maturity across the region. Commissioned by STT GDC and conducted by Ecosystm, Mind the Gap: Bridging the AI Infrastructure Readiness Divide evaluates organizations across five key dimensions.

These include strategy, organizational readiness, data governance, current digital infrastructure, and future AI infrastructure planning. Based on these factors, companies are categorized into four stages: Explorer, Builder, Integrator, and Leader.

The Philippine insights are drawn from responses gathered from 62 organizations across multiple industries, offering a snapshot of how the country is navigating its AI journey. 

A Defining Moment for AI in the Philippines

The report ultimately highlights a turning point. The Philippines has clearly moved beyond early curiosity about AI and is now actively building solutions. However, without stronger infrastructure, deeper talent pools, and more aligned investments, progress toward large-scale impact may remain limited. 

For businesses and policymakers alike, the message is straightforward. Bridging the gap between ambition and execution will determine how far and how fast the country can go in the AI era.