Firm capacity
Interruptible computing load can reduce the need for expensive reserve capacity without reducing demand for computing.
The Portfolio at a Glance
The following overview summarizes the strategic building blocks, position directions, and allocated assets for this research theme.
Long
Regulated networks with funded returns
Networks are preferred for contractually and regulatorily defined returns, not for short-term electricity-price optionality.
Long
Rotating equipment with service revenue
The service case is stronger for turbines than for static grid equipment because parts and long-term agreements are better protected.
Long
Project delivery and qualified labour
Electrical installation, commissioning and technical services become attractive where scarce teams are visible in contracts and margins.
Long
Difficult-to-replicate supply
Resources, the fuel cycle and heavy components are structurally constrained but investable only selectively and with political risk.
Long
Contracted and low-cost energy
The preferred energy positions combine long-term contracts or low costs with less dependence on the short-term oil price.
Short
Limited negative positions
These positions address excessive scarcity premiums and credit-dependent development. They are not a wager against power investment.
The analysis
The data-centre, grid and dispatchable-generation build-out remains a real investment cycle. The narrower investment question is which parts of that cycle retain their returns when the market no longer rewards every demand forecast with a higher valuation multiple.
This analysis separates physical scarcity from economic scarcity. Transformers, turbines and connections may be scarce. Their owners receive sustained excess returns only where contracts, regulation and financing do not transfer those returns to customers, governments or capital providers.
The preferred approach is not a wager against electricity demand. It favours earnings that can persist when capacity premiums normalise: regulated rate base, OEM service for rotating equipment, qualified project teams, difficult-to-replace resources and long-term contracted gas infrastructure.
The Argument
Not every additional megawatt has the same value
Capacity markets and grids are often set by a limited number of hours with extreme demand. For part of training and batch workloads, reducing load in those hours may be cheaper than paying scarcity prices. If utilities contract for that flexibility and recognise it in planning, the firm-capacity requirement per installed megawatt falls.
That would not represent disappointment in AI demand. It would change the distribution of returns. Peaking generation owners and highly valued equipment suppliers would retain less of the expected scarcity premium, while contractually funded network investment could continue.
Legal entitlement matters more than visible scarcity
A scarce object is not automatically an attractive equity investment. The valuable part of the chain is where a listed minority shareholder has a durable claim on the return. This favours regulated networks with funded investment bases and service revenue from rotating equipment, where replacement parts and long-term maintenance agreements can be genuinely OEM-specific.
The same logic is weaker for static grid equipment. Maintenance and project work are often competitive. Governments, customer prepayments and private infrastructure lenders can also secure the most profitable bottlenecks in advance. Physical scarcity then remains, but the accessible equity return is smaller.
Funding is the earliest stress test
Multiple compression need not wait for physical demand to fall. Higher funding costs or a more cautious investment guide can reach orders with a delay and reprice the whole group together.
The largest cloud providers fund a growing share of investment through bonds, project vehicles and private credit structures. This is not in itself a crisis signal. It does make credit spreads, project-finance costs and data-centre funding terms earlier indicators of deferred orders.
A correction is therefore more likely to be triggered by one large buyer’s investment guide or a visible rise in funding costs than by a technical change to a grid forecast. The portfolio decision should be set in advance: examine higher-quality, contracted earnings during a broad sell-off rather than wager on the precise trigger.
Returns migrate within the value chain
The base case is a transition from visible equipment scarcity toward activities that remain scarce for longer or can protect returns contractually. These include regulated networks, turbine and rotating-equipment service, high-voltage installation and commissioning, and selectively the fuel cycle, copper and contracted gas infrastructure.
The negative positions are not directed against the build-out itself. They address capacity and equipment premiums that require exceptional scarcity to persist, and data-centre developers dependent on credit markets. High volatility, takeovers and new contracts require small positions and defined risk.
The Earnings Chain
| Rank | Layer | Rationale |
|---|---|---|
| 1 | Regulated transmission networks | A funded investment base and regulated return can support growth even if scarcity rents elsewhere decline. |
| 2 | Rotating-equipment service | Long-term maintenance and replacement parts can create recurring, OEM-adjacent earnings for turbines and similar equipment. |
| 3 | Project delivery and commissioning | Qualified electrical teams and commissioning specialists take time to develop and determine project schedules. |
| 4 | Qualified supply and heavy components | Fuel-cycle and heavy-component suppliers may be protected by licensing and security requirements, but remain exposed to policy. |
| 5 | Difficult-to-replace resources | Copper and selected fuels require long development and permitting cycles, although equity returns still depend on prices and policy. |
| 6 | Long-term contracted energy | Fee-based LNG infrastructure and low-cost gas provide a more direct earnings link than a short-term oil-price wager. |
The weakest position is where earnings depend on a scarcity premium that can be changed administratively or on continual access to capital markets.
What prices already assume
In the early 2030s, electricity may be the scarcer and more politically administered input to increasingly inexpensive computing in many regions. Large computing loads are likely to be treated more like industrial customers, with minimum bills, prepayments, collateral, contributions to grid costs and, where suitable, interruptibility.
Equipment capacity may ease progressively from 2027. Labour, permitting, water rights and social consent should remain constrained for longer. Returns should therefore shift from fabrication toward project capability, legally protected infrastructure, resources and skilled labour. Regulation, states and private capital providers will capture part of those returns.
The stock recommendations in this analysis
The selection groups companies by their economic role in the power build-out. Ratings shown on company cards come from Leeway’s general equity analysis and are independent of this research theme.
The Business-Rating scores the quality of the business model, independent of the share price. The Market-Fit-Rating tests eighteen fundamental figures for how well the company currently fits the market; a negative reading implies expected negative performance. The Cycle-Rating places the valuation in the stock’s own history: a higher figure means the shares are historically cheaper. The Leeway-Score combines the three in equal parts. How the ratings are calculated
The recommendations since publication
From 4 September 2026 to 15 October 2026: Portfolio-1.7%ACWI-1.6%
Regulated networks with funded returns
LongNetworks are preferred for contractually and regulatorily defined returns, not for short-term electricity-price optionality.
Role in thesis: Regulated Italian transmission networks with a growing investment base.
Investment case: Terna combines permitted grid investment with a regulated earnings model and is therefore less dependent on short-term capacity prices.
What would invalidate it: The case weakens if regulation materially reduces the return or funding persistently dilutes existing shareholders.
Position and what to watch
Position: Terna is a core regulated-network position and may be more attractive after a broad power-theme sell-off.
What to watch: Watch allowed returns, funding for the investment plan and long-term interest rates.
Invalidation risk: Regulatory changes, higher rates or heavily dilutive funding could impair expected returns.
Role in thesis: Regulated transmission network in a potential growth location for computing.
Investment case: Power Grid Corporation of India combines a large regulated asset base with India’s potential importance for energy-intensive, less latency-sensitive workloads.
What would invalidate it: The case weakens if competition displaces regulated returns or investment becomes predominantly political rather than economic.
Position and what to watch
Position: This is a long-term network position best built when Indian rates and the currency are relatively stable.
What to watch: Watch the share of regulated projects, tender discipline and government capital allocation.
Invalidation risk: State influence, currency risk and competitive tendering limit comparability with Western network operators.
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Timeline and Checkpoints
| Window | What happens | What it means for the portfolio |
|---|---|---|
| September to December 2026 | Large cloud providers’ investment commentary, new equipment orders and large-load tariffs shape expectations for 2027. | Slower order intake would affect equipment valuations before reported margins. |
| January to March 2027 | Investment guides and updated regional load forecasts provide the first combined test of demand and funding. | Stable spending alongside weaker forecasts would be a valuation opportunity for contracted earnings rather than necessarily a break in volumes. |
| Second half of 2027 | New transformer and turbine capacity, changing capacity auctions and wider large-load tariffs become more visible. | Shorter lead times and flatter capacity prices would support rotation away from pure equipment and scarcity premiums. |
| 2028 | Funding costs and contract structures reveal which data-centre developers retain durable access to capital. | Credit-dependent developers could exit while established buyers, networks and infrastructure investors take over the build-out. |
| 2029 to 2032 | Manufacturing capacity continues to ease while labour, permitting and legal entitlements remain scarce. | Relative returns should favour networks, service, delivery and selected resource supply over general equipment. |
Scenarios
| Path | Weight | What happens |
|---|---|---|
| Bull: demand outruns the funded ramp | 25% | Investment guides keep rising, funding costs stay contained and large loads prove scarcely interruptible. Equipment and merchant power retain their premiums longer than expected, leaving the more defensive and cheaper selections behind. |
| Base: rotation after one correction | 47% | Demand stays robust but becomes more externally funded. A weaker forecast or wider spreads causes a broad correction without breaking physical volumes. Leadership moves to networks, service, specialists and contracted energy. |
| Bear: credit stress meets more cautious investment | 28% | One major buyer reduces investment plans as financing costs rise and lead times fall. Data centres, merchant power and equipment de-rate materially. Regulated networks and less correlated earnings sources should be relatively more resilient. |
Counter-arguments and Risks
The strongest counter-case is that the visible winners can continue to win for years. If turbine and transformer slots are committed into the early 2030s, buyers make prepayments and investment guides keep rising, slower order growth does not yet imply normalised earnings.
Flexible loads may also be less effective than expected. Latency-sensitive applications, high utilisation requirements and the cost of idle computing equipment may lead operators to pay scarcity prices rather than curtail operations. In that case, firm capacity and equipment retain their value for longer.
Unresolved Market Factors
The central unresolved question is the real flexibility of large computing loads. Public commitments are insufficient. The relevant evidence is contracted interruption hours, grid-operator recognition and the results of capacity auctions.
A second uncertainty concerns prepayments and cancellation rights for equipment. The more these contracts protect order books, the later an investment correction reaches manufacturers. Both questions can materially change the sequence of returns.
What Investors Should Watch
- Contracted interruption hours and flexibility clauses in new tariffs for large electricity users.
- The share of latency-sensitive applications in incremental computing load, because a rising share limits flexibility.
- Prepayments, cancellation rights and reservation-to-firm conversion at turbine and transformer suppliers.
- Cloud-provider credit spreads, data-centre financing terms and the mix of internal and external investment funding.
- Large-load customer collateral, especially prepayments, letters of credit and the allocation of potential stranded costs.
- Wages, vacancies and margins in high-voltage installation and commissioning as a test of scarce-labour pass-through.
- Contracted and under-construction data-centre load compared with long-term grid forecasts.
- The separate development of rotating-equipment service revenue and maintenance revenue in static grid equipment.
- The funding and ownership of scarce nodes such as grid connections, fuel-cycle capacity and equipment slots.
- Gas prices, LNG contracting and new nitrogen capacity as conditions for the energy positions.
What Would Falsify the Thesis
The analysis requires revision if these developments persist.
- Large computing loads remain effectively non-interruptible in scarcity hours and capacity auctions continue rising despite recognised flexible demand.
- Equipment orders, prepayments and lead times remain stable for several years as new manufacturing capacity enters operation.
- Regulated networks cannot expand their investment base without sustained dilution or clearly lower allowed returns.
How this analysis is produced
The assessment is produced in several steps. Independent model families answer the same question separately and then attack the results. What you read here has survived several rounds.
- Two independent first theses. The same opening question goes to several model families that cannot see one another. Disagreements are kept, not averaged away.
- Dated evidence. Every claim that depends on facts is broken into individual search questions and answered with dated, sourced web research. Question, answer, sources and timestamp are logged and remain traceable.
- Adversarial review. Several review roles attack the thesis from different angles: one hunts for the strongest refutation, one for the awkward edge cases, one tests whether a path from thesis to share price exists at all, one checks the timeline for contradictions. Each role raises its own questions, which are again answered with evidence.
- Merge, then the next round. The surviving theses are merged into one and attacked again. The counter-position and the unresolved tension on this page come out of that step. They were not bolted on afterwards to look balanced.
- Back to the start. The process runs again until there is a clear result and a list of tradable companies with structural advantages.
Any analysis can be wrong. That is why the falsification criteria and the counter-position sit on the same page as the thesis, not in the small print.
The numbers shown against individual companies do not come from this process. The Business-Rating scores business-model quality, the Market-Fit-Rating eighteen fundamental figures against the current market, the Cycle-Rating the valuation against the stock’s own history. They are documented under the Leeway scores.
Evaluate the analyzed stocks with the three Leeway ratings
The Business-Rating assesses business model quality, the Market-Fit-Rating evaluates fundamentals in the current market regime, and the Cycle-Rating contextualizes valuation within historical cycles. Evaluate each company with Leeway’s general equity analysis.
Company Valuation and Fundamental Analysis
The data is recalculated on a weekly basis and depends on the current market value of the company and the balance sheet figures of the annual financial statements. The market value changes continuously with price changes, the balance sheets are created annually and change the valuation massively. The time of the annual financial statements and the metrics used can be viewed under "Metrics". Further information on how the analyses work can be found as tooltips directly on the analyses as well as in our explanations.
General
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