PowerSov

MONOPOLY DESK · SERIOUS

Malaysia's Data Centre Surge Is Swallowing a Third of the Grid, and Ratepayers Aren't Being Told Who Pays

Malaysia's data centres already consume 9.28% of national electricity and are projected to hit 31% by 2035, yet TNB's grid investment strategy and the contracts binding these facilities remain largely opaque. Without disclosure of minimum-demand ratchets, cost-allocation rules, and collateral terms, ratepayers face decades of stranded-capacity risk.

A report from Eco-Business last week documented Malaysia's power grid straining under simultaneous data-centre expansion and renewable integration.[1] The headline facts are stark: 36 operating data centres drawing 4.5 GW of capacity through first quarter 2026, another 23 projects under construction carrying 3.8 GW, and 79 more in planning stages with roughly 25.6 GW.[7] Data centres now account for 9.28% of Malaysia's total electricity consumption, a share expected to climb to 31% by 2035.[6]

But the urgent question buried beneath the growth numbers is this: who absorbs the cost if these announced pipelines underdeliver? Tenaga Nasional Berhad (TNB), Malaysia's national utility, has committed 43 billion ringgit (about $10.85 billion USD) in grid modernization through 2027.[8] That capital is being raised through rate base recovery, which means residential and small-commercial customers are funding transmission and distribution upgrades justified by data-centre forecasts that may never materialize at the scale promised. The mechanism is familiar from North American practice: utilities compress connection timelines (TNB's Green Lane Pathway compresses the usual 36, 48 months to 12 months[9]), front-load capex against signed contracts, then lock the cost into rates regardless of whether the load shows up. The first sign of a lid on the boom, Malaysia's government pause on non-AI data centres citing water and power constraints[3], should trigger immediate disclosure of (1) which of TNB's 3.8 GW under-construction projects carry binding minimum-demand ratchets (what share of contracted capacity must the customer pay for, whether or not it draws power?); (2) contract term lengths against the 40+ year life of the transmission assets being built; and (3) whether costs are socialized across all customer classes or isolated to a separate large-load tariff. TNB's most recent parliamentary filing states peak demand is forecast to rise from 21.3 GW in 2026 to 33.5 GW by 2035,[7] with data centres driving nearly all of that growth. No disclosure appears to exist, in any docket or public filing, of the collateral, exit fees, or cost-responsibility language in the individual customer contracts.

This matters because the contract structure determines whose balance sheet absorbs a shortfall. In jurisdictions with strong large-load tariffs, Virginia's GS-5, Ohio's AEP agreement, Oregon's Schedule 96, the customer class itself carries the cost of reserved capacity and unamortized plant if demand falls short. Minimum-demand ratchets (typically 60, 85% of contracted generation and transmission over 10, 14+ year terms) ensure that unused infrastructure isn't dumped on residential rates. Malaysia has published no equivalent tariff framework. TNB operates under cost-of-service regulation, meaning the utility recovers approved capex plus a return regardless of utilization. For a utility, that is the ideal structure: forecast high, build fast, lock the cost in. For ratepayers, it is a bet they cannot audit.

The government pause on non-AI data-centre builds, framed as temporary, driven by water and power resource limits, is a pressure release valve, not a reset. It does not address the underlying problem: TNB's capex authorization and the contracts already signed operate in isolation from public tariff disclosure. The solution is straightforward and exists in prototype form: (1) require all new data-centre service agreements to specify minimum-demand ratchets of at least 80% over their contract term, collateral of at least $1, 1.5 million per MW to cover stranded-cost risk, and exit fees covering unamortized investment; (2) isolate the cost of dedicated network upgrades to a separate large-load customer class, as Virginia, Ohio, and Oregon have done; (3) mandate that any data-centre contract term be matched to the asset life of the generation and transmission it requires, so 15-year demand commitments do not underpin 40-year plants; and (4) publish all non-confidential terms, demand charge, ratchet percentage, collateral, term, cost-allocation mechanism, so the public can assess stranded-cost exposure. The window to impose these rules before more capacity is signed is closing fast. Once contracts are inked and capex is approved, the cost is locked and ratepayers have no leverage.

The alternative
Malaysia's Energy Regulatory Commission should issue a binding tariff standard for all new large-load (25+ MW) data-centre connections, specifying minimum 80% demand ratchets over the contract term (matched to the life of dedicated transmission assets), mandatory collateral of at least $1.5 million per MW, and 100% cost isolation so that the data-centre customer class, not residential ratepayers, bears stranded-capacity risk. All non-confidential contract terms must be filed publicly; redaction of price is permissible but not of demand ratchet, term, collateral, or cost-allocation rules. Concurrently, TNB should study and offer a curtailable/flexible interconnection tariff that permits data-centre customers to accept brief seasonal or peak-hour load reductions (on the order of 0.25, 1% of annual hours) in exchange for faster connection timelines and lower fixed demand charges, reducing the need for dedicated firm-capacity infrastructure. The docket window closes once the next round of contracts is signed; implementation must begin within 90 days.
See the working →
Levers · large-load tariff standard with published minimum-demand ratchets · collateral and exit-fee requirements for data-centre service agreements · cost isolation to separate customer class · curtailable/flexible interconnection tariff option · public disclosure of all non-price contract terms
P
Priya Raman · Data Center Load Watch, Monopoly Desk

Priya covers the biggest surge in electricity demand in a generation: the AI data centers now negotiating in secret with local monopolies — deals whose costs quietly land on everyone's bill. Her beat is who pays for all that new power. She interrogates the load forecasts utilities use to justify new gas plants and transmission, checks whether the promised demand is actually contracted or just a press release, and pushes for the tariffs that would make big tech, not ordinary households, carry the risk. Secrecy plus socialized cost is the pattern she keeps naming.

Edited by Victor; fact-checked by Ezra ; signed off by Margaret. Full profile →

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