Indonesia maps grid strategy for hyperscale data center boom

Indonesia is planning to rapidly build the power infrastructure needed to support expected growth in artificial intelligence and hyperscale data centers, with government officials and the state electricity company outlining coordinated strategies to nearly tenfold national data center capacity by 2029 while managing grid pressures from a sharp rise in connected power capacity by 2034.

At the Enlit Asia 2026 conference in BSD City on Sept. 22, senior officials from Indonesia's Ministry of Communication and Digital Affairs and PT PLN (Persero) outlined the scale of the challenge and the policy and infrastructure responses under development, warning that power grid readiness could determine whether Indonesia captures the surge in hyperscale investment sweeping Southeast Asia.

"The future of digital infrastructure depends not only on how fast we grow, but on how well we build resilience from the beginning," said Denny Setiawan, director of digital infrastructure strategy and policy at the Directorate General of Digital Infrastructure of the Ministry of Communication and Digital Affairs. Setiawan was speaking at a seminar titled "Powering Indonesia's AI and Hyperscale Data Center Ecosystem Sustainably."

Nayusrizal, executive vice president for retail and commerce at PT PLN (Persero), said the scale of data center demand was fundamentally transforming the utility's role, describing a shift from "selling electricity" to enabling "digital infrastructure growth." Behind every AI model and every data workload, he said, there lies a power requirement that must be planned for from the outset.

Grid and capacity

The ambition is anchored in Indonesia's 2025-29 National Mid-Term Development Plan, or RPJMN, which targets national data center capacity at 6.87 watts/capita by 2029, up from a baseline of just 0.74 W/capita in 2024, an increase of more than 800%.

The plan also calls for the fiber optic network reach to expand from 70.53% to 90% of sub-districts, and for mobile broadband population coverage to rise from 97.16% to 98%, forming what the ministry describes as the combined foundation for an AI-ready Indonesia.

Indonesia's data center power capacity pipeline is projected to reach 25,297 MW by 2034, up from an existing connected capacity of 1,990.5 megavoltampere, requiring an unprecedented pace of grid investment, substation expansion and generation capacity additions concentrated within a narrow geographic corridor, according to Nayusrizal.

The existing data center landscape is already heavily concentrated. The JAMALI system -- covering Java, Madura and Bali -- served 142 of Indonesia's 159 data center customers as of July 2026, accounting for 99% of the total connected capacity of 1,989.5 MVA, Nayusrizal's presentation showed.

Greater Jakarta leads with 50 customers and 1,047 MVA of connected capacity, closely followed by West Java with 63 customers and 1,036.36 MVA, according to Nayusrizal's presentation. Outside Java, regions including North Sumatra, Riau, Kalimantan and Sulawesi collectively account for less than 1% of total connected capacity.

The expansion pipeline deepens that concentration further. West Java dominates projected capacity additions, with the largest single-year increases forecast for 2027 at 6,884 MW and for 2028 at 7,798 MW, the peak year for additions, Nayusrizal's presentation showed.

This compression of massive load growth into a two-year window within a single regional grid system represents one of the most acute infrastructure planning challenges Indonesia's power sector has faced, according to Nayusrizal.

Setiawan said effective development requires coordination among the ministry, PLN, local governments and industrial estate managers for priority location mapping, capacity planning, load scheduling and permitting.

"Hyperscale and large-scale colocation data centers typically require between tens and hundreds of megawatts of electricity on a sustained, long-term basis, with requirements for 24/7 operational reliability, high power quality, uninterrupted supply, dual feeds and backup systems," Setiawan said.

Clean energy

To manage the risk of grid misalignment, PLN has developed an early alignment strategy under which AI requirements, data center site selection, grid and substation readiness, generation supply and green energy solutions are coordinated from the earliest planning stage.

Without such alignment, Nayusrizal said, operators risk selecting sites without adequate grid capacity, facing substation and transmission gaps with long lead times, failing to secure generation and green power in advance, and ultimately suffering delayed commercial operation dates and higher costs.

"PLN proactively aligns AI requirements, data center site selection, grid and substation readiness, generation supply, and green energy solutions from the earliest planning stage, ensuring that time-to-power becomes a competitive advantage in accelerating data center development in Indonesia, rather than an investment bottleneck," Nayusrizal said.

PLN outlined a four-pillar service framework for data center customers, encompassing clean and flexible generation, a strengthened grid with N-1 reliability, dedicated infrastructure with scalable capacity and reliable data center services with tailored service-level agreements.

On clean energy, Nayusrizal said PLN is actively developing renewable energy sources and offering green tariffs and renewable energy certificates to meet the decarbonization requirements that hyperscale operators increasingly impose as conditions of investment.

Platts, part of S&P Global Energy, assessed vintage 2026 solar I-REC for Vietnam at 29 cents/MWh, Thailand at 57 cents/MWh, Malaysia at $3.35/MWh, India at 46 cents/MWh and Singapore at S$31.50/MWh ($24.665/MWh) on Sept. 22.

Nayusrizal identified four core requirements that data center operators demand from utilities: large capacity and high power reliability; fast grid connection and dedicated infrastructure; access to renewable energy and green tariffs; and long-term commercial commitments with predictable costs.

"PLN's evolving model is structured to address all four," Nayusrizal said, as the utility transforms from a traditional electricity supplier into what it describes as an integrated energy partner for Indonesia's digital economy.