DCI Indonesia CEO Sees a Path to an Asian AI Hub—But Power Will Decide It

Indonesia is moving from being primarily a consumer of digital technology toward becoming a possible home for the infrastructure that powers artificial intelligence.

DCI Indonesia founder and president director Otto Toto Sugiri believes the country has several structural advantages: a huge domestic market, abundant energy resources and competitive electricity economics.

Sugiri is among the speakers at the 2026 Bali Annual Telkom International Conference, according to the event’s official website.

His argument arrives at an important moment. International AI infrastructure companies have started making concrete commitments to Indonesia rather than merely discussing its potential.

CoreWeave Has Already Chosen Indonesia

The strongest recent signal came from CoreWeave.

On August 4, the US AI-cloud company announced its first physical expansion into Asia-Pacific, selecting Indonesia for three facilities with a combined 360 MW of contracted IT power.

The sites are expected to come online in 2028.

CoreWeave cited rapidly expanding AI-cloud demand, data-locality requirements and the need to place compute capacity closer to Southeast Asian customers.

That matters because a regional AI hub requires more than local startups using generative AI.

It requires actual GPU clusters, cloud infrastructure, high-capacity connectivity and data centers physically located in the country.

Indonesia Has the Demand Side

Indonesia’s size gives it an obvious advantage.

The Coordinating Ministry for Economic Affairs has described Indonesia as Asia’s fourth-largest potential AI market after China, India and Japan, with an estimated value of about US$70 billion.

A large user base produces local demand for cloud computing, ecommerce, financial technology, streaming, digital government and eventually AI inference.

As AI applications become more latency-sensitive, running workloads physically closer to users becomes increasingly valuable.

That gives operators an economic reason to build capacity inside Indonesia rather than serve all Indonesian demand from Singapore or another regional hub.

Batam Is Emerging as a Second Digital Cluster

Jakarta is no longer Indonesia’s only important data-center location.

Batam is developing rapidly because of its proximity to Singapore, submarine-cable connectivity and access to new power infrastructure.

Oracle now lists North Indonesia (Batam) as a live cloud region.

Indonesia’s government says BW Digital’s NDP1 facility in Nongsa has around 120 MW of IT capacity, while DayOne and the Indonesia Investment Authority are developing a hyperscale campus with contracted power capacity potentially reaching 450 MW.

That creates the beginnings of a two-node market: Jakarta for domestic-scale demand and Batam as a cross-border digital gateway.

How Big Is Indonesia’s Data-Center Market?

This is where the numbers require caution.

Industry estimates are not identical.

IDPRO says installed Indonesian capacity reached roughly 600–650 MW in the first half of 2026 and could reach 1.7 GW by year-end.

BRI Danareksa Securities uses an estimate closer to 580 MW in the first half and projects about 3.5 GW by 2030.

The source material for Sugiri’s latest comments uses approximately 400 MW currently and 1.4 GW by the end of 2026.

Those figures should not be silently combined. Different estimates may count operational IT load, contracted capacity, pipeline projects or different facility categories.

The safest conclusion is that capacity is expanding rapidly, while the exact number depends on the measurement being used.

An 11.7 GW Pipeline Is Possible—but Far From Guaranteed

IDPRO has presented a much more aggressive long-term scenario of up to 11.7 GW of potential data-center capacity by 2030.

That figure incorporates a pipeline involving companies including CoreWeave, Oracle and other international investors.

It is better described as potential pipeline capacity, not a committed or guaranteed installed total.

Turning that pipeline into operational infrastructure would require enormous investment in substations, transmission lines, generation, water, fiber, permitting and computing equipment.

The bottleneck is increasingly obvious.

AI Data Centers Are Extremely Power-Hungry

Traditional cloud data centers already require substantial electricity.

AI facilities take the problem to another level.

Large GPU clusters need far greater power density, while cooling those clusters creates additional electricity and water requirements.

IDPRO chairman Hendra Suryakusuma has described modern data centers as both power-hungry and water-thirsty.

For investors, the key question is no longer simply whether a country has enough generation on paper.

It is whether a developer can obtain firm power at the right location and within a commercially viable timeline.

That “time-to-power” issue has become one of the most important competitive variables in the global AI infrastructure race.

Indonesia Has 108 GW of Installed Generation

Indonesia does have substantial energy resources.

The Energy Ministry reported 108 GW of installed national generating capacity as of April 2026.

But around 85% still comes from fossil fuels, including 60.53 GW of coal-fired capacity.

Renewables represented about 16.26 GW, or 15% of installed generation.

That mix creates both an advantage and a challenge.

Indonesia can provide large amounts of electricity, but hyperscale technology companies are increasingly demanding low-carbon power to meet corporate climate targets.

The country therefore has to expand capacity and improve its energy mix.

Renewables Could Become a Competitive Advantage

Indonesia’s current electricity plan calls for 69.5 GW of new capacity through 2034, with roughly 76% linked to renewables and storage.

If delivered on schedule, that expansion could become a powerful selling point for AI infrastructure.

But generation resources alone are not enough.

IDPRO says Indonesia still faces constraints in delivering renewable power directly and quickly to the locations where new data centers want to build.

So the real competitive product is not merely “cheap electricity.”

It is:

affordable + reliable + scalable + low-carbon + quickly deliverable power.

Electricity Costs Have Long Been Part of Sugiri’s Argument

Sugiri previously estimated Indonesian data-center electricity at about US$0.07 per kWh, compared with roughly US$0.12 in Malaysia and US$0.30 in Singapore in the comparison he presented in early 2025.

That helps explain why power economics are often described as an Indonesian advantage.

Still, cross-country electricity prices are difficult to compare directly because industrial contracts, demand charges, voltage levels and renewable-energy arrangements vary.

For a hyperscale AI campus, reliability and connection speed can matter as much as the headline tariff.

Geopolitics Is Giving Southeast Asia a Window

Sugiri also sees geopolitics as part of the opportunity.

Strategic competition between the United States and China can encourage global companies to diversify infrastructure across Southeast Asia.

A country with a large domestic market, energy resources and a politically acceptable position can become attractive for AI training and inference workloads.

Indonesia fits several of those criteria.

But geopolitical demand is not necessarily permanent.

A sustainable AI hub must still be competitive after geopolitical conditions change.

That means Indonesia cannot rely on external tensions alone.

Malaysia and Singapore Are Not Standing Still

Indonesia is competing against two strong neighbors.

Singapore already has one of Asia’s deepest cloud, submarine-cable and financial ecosystems.

Malaysia—especially Johor—has been building large amounts of hyperscale capacity aggressively.

Current industry analysis suggests investors now evaluate an entire ecosystem: high-capacity electricity, renewable energy, submarine cables, permitting speed, talent and even semiconductor infrastructure.

Indonesia’s biggest risk may therefore not be a lack of resources.

It may be execution speed.

The country can have cheaper land and more energy, but a competitor that can connect a 200 MW site two years sooner can still win the investment.

The 11.7 GW Comparison Needs Context

It is tempting to compare IDPRO’s 11.7 GW potential directly with Indonesia’s current 108 GW of installed power capacity.

Mathematically, that equals about 10.83%.

But that does not mean data centers will consume 10.83% of Indonesia’s electricity in 2030.

The 108 GW figure describes installed generation capacity in April 2026, while 11.7 GW is a potential future data-center capacity scenario.

Indonesia’s generation fleet will also change before 2030.

In addition, capacity measured in GW is not the same as actual annual energy consumption measured in GWh or TWh.

The ratio is useful only to illustrate the enormous scale of power infrastructure that a mature AI-data-center industry could require.

What Does This Mean for DCII?

DCI Indonesia is one of the listed companies most directly exposed to the industry.

BRI Danareksa identifies DCII, along with TLKM, ISAT and DSSA, among the Indonesian listed names with comparatively direct data-center exposure.

That does not make an industry boom a guarantee of share-price performance.

Capacity utilisation, new capital expenditure, customer contracts, competition and valuation still matter.

AI infrastructure can be a powerful structural theme while individual listed stocks remain subject to very different investment risks.

Bottom Line

Indonesia has a credible case for becoming a major Southeast Asian AI-infrastructure hub.

The demand base is enormous, international players are arriving, and CoreWeave has already committed 360 MW for its first Asia-Pacific data-center expansion.

IDPRO sees domestic capacity potentially reaching 1.7 GW by the end of 2026, with a much larger long-term pipeline possible.

But Indonesia’s success will ultimately depend less on how much theoretical energy it possesses and more on how fast it can deliver large volumes of reliable, competitively priced and increasingly clean electricity to AI campuses.

The question is no longer whether Indonesia has AI-hub potential.

It is whether its power and infrastructure systems can scale as quickly as AI demand itself.

Disclaimer: References to DCII are informational and do not constitute personalised investment advice or a recommendation to buy or sell the stock.