Edison Electric Institute · FERC · State utility commissions · County governments · Water districts · Utilities · Hyperscalers · Colocation hosts · Quantum vendors · Project lenders
Companion work: How Quantum Technology Changes the AI Data Center Energy, Compute and Environmental Calculus
I. Physical Constraints Decide Which Agreements Can Work, and Incentives Decide Which Survive
Physical constraints decide which agreements to build an artificial intelligence (AI) data center can work. Funding, enforcement and counterparty incentives decide which of the feasible agreements survive. Quantum computing adds one new physical constraint to that bargain: equipment that cannot lose power without a costly recovery.
Thesis. Under the modeled conditions, tailored measures reduce quantum’s added approval burden at every scale and close most of it where the land objection is negotiable. Large-load tariffs and contracted curtailment anchor the selected packages for new service, and ride-through answers quantum’s continuity objection. Hard land restrictions, long-duration backup noise and on-site fossil generation remain beyond what any tested package resolves.
Findings by solution family.
Grid cost and reliability. Tariffs and curtailment anchor the selected packages for new service. Curtailment matters most: in removal tests at large campuses, dropping it cuts the share of cases that sustain an agreement by 20 points. Some small additions proceed inside existing service with few new terms.
Quantum continuity. Battery ride-through sized to the equipment’s tolerance restores most of the approvability quantum removes. A protected reserve keeps that protection intact when the battery also earns grid revenue.
Land and community. Setbacks, enforceable community benefit agreements and bonds resolve negotiable land objections. Payments change political objections but leave physical ones in place, and only relocation resolves a hard restriction.
Water, cryogens and emissions. Funding new water supply beats over-designing cooling where supply is the objection. Cryogen recovery needs an initial inventory to recover, and on-site fossil generation trades a grid objection for an emissions objection.
Shared infrastructure and measurement. Quantum hubs help compatible workloads but concentrate failure risk. Metering saves no power. Verified measurement supports enforcement when contracts define eligibility, remedies and payment conditions.
Bottom line on the controversy. In the model, the industry holds measures that reduce quantum’s added approval burden, though a gap remains at hubs. Developers rarely adopt the load-bearing local measures on their own, so those measures arrive as county conditions, negotiated agreements or rules. Stacking every measure fails, because the cost and the emissions objection from on-site generation break the bargain.
Quantum’s effect on the share of modeled cases that sustain an agreement
Shares are sensitivity results across modeled cases, not approval probabilities at real sites. Under identical mitigation, ride-through closes quantum’s gap to 1 to 3 points at additions and campuses. At hubs a 15-point gap remains, because cryogen supply and hub land use still bind.
Why now. The Edison Electric Institute’s October 9, 2026 list counts 25 states with approved large-load tariffs and 8 with only pending ones. On the same day, the Federal Energy Regulatory Commission (FERC) rejected PJM Interconnection’s curtail-first plan, finding that it appeared to dictate which retail customers get curtailed. In a concurrence, Commissioner David Rosner urged state regulators to establish clear rules for which customers get curtailed first. Local opposition has already blocked or delayed $64 billion of projects, according to Data Center Watch.
What distinguishes the MindCast approach. MindCast AI applies Predictive Behavioral Economics + Dynamic Game Theory through the MindCast AI Proprietary Cognitive Digital Twin Foresight Simulation (MP CDT FS). Each Cognitive Digital Twin (CDT) models how a named actor decides as terms and evidence change.
Behavioral economics supplies the decision rule: developers favor the measure that relieves the most salient delay, even when it creates a worse objection later. Game theory supplies the payoff structure: an agreement survives only when the developer beats its outside option and the utility and community each come out ahead. Predictive behavior emerges from the combination.
What the companion does. The series overview names the burdens quantum shifts. The companion tests 31 measures across three project types and assesses which ones resolve those burdens, who pays and who adopts them voluntarily. The companion releases one MindCast Foresight Simulation Prediction and withholds three conditions the evidence does not yet support.
Simulation Prediction highlights
R3-S-1 · 60–75% · by end-2027. At least five of the eight states with only pending large-load tariffs on the October 9, 2026 Edison Electric Institute list approve one.
Stakeholder readout
🏛️ Policymakers. Large-load tariffs will likely spread to most pending states by 2027 (R3-S-1). Pair each tariff with contracted curtailment and deadline-tiered recovery, and require enforceable local terms as county conditions.
💼 Executives. Classify each site’s land objection as hard or negotiable before spending on mitigation. Budget tariff terms into every pro forma, and protect quantum equipment on its own circuit.
⚖️ Counsel. Clawbacks and bonds strengthen remedies and financial security behind community benefit promises. Draft service agreements that anticipate a tariff in the eight pending states (R3-S-1).
📊 Investors. Underwrite the selected package for each scale, not the full catalog of measures. Treat on-site fossil generation as an approval risk rather than a delivery fix.
II. State Tariffs Answer the Grid’s Cost Question While Counties Hold the Veto
State tariffs now answer the grid’s cost question, while counties and water districts keep the vetoes that decide whether a site gets built. A package therefore has to satisfy two forums at once, and the simulation’s counterparties reflect that split.
A. Large-Load Tariffs Have Become the Norm and Local Authority the Binding Veto
Large-load tariffs have moved from exception to norm. The Edison Electric Institute counted 23 states with approved tariffs by May 2026 and 25 by October 9. Tariffs such as AEP Ohio’s data center schedule set minimum demand charges, collateral and exit fees so that residential customers do not carry stranded costs.
Flexibility has become the condition for fast connection. Duke University’s Nicholas Institute estimated that U.S. grids could absorb 76 gigawatts of new load if those loads accept curtailment 0.25 percent of the time. FERC’s October 9 order found that PJM’s plan appeared to intrude on state authority over retail curtailment. Commissioner Rosner’s concurrence separately urged state regulators to set curtailment priorities.
Local authority has become the binding veto. Texas Governor Greg Abbott ordered the state environmental agency to halt data center permits on September 21, 2026. Counties and water districts can deny projects outright, while commissions and utilities attach conditions.
Takeaway. A statewide tariff narrows a developer’s utility cost exposure without clearing its local veto.
B. Eight Terms Separate What Can Work From What Survives
Eight terms carry the assessment, and the split between hard and negotiable land does the most work.
Large-load tariff: utility terms requiring a large customer to cover the costs it causes through minimum charges, collateral and exit fees.
Deadline-tiered recovery: curtailment terms that schedule deferred work by task deadline, so curtailed load does not return as a new peak.
Non-firm service: grid service the utility may interrupt until network upgrades are built.
Ride-through: on-site storage that carries protected quantum equipment through a grid interruption.
Hard land restriction: a zoning, environmental or parcel limit that no payment or agreement can remove.
Negotiable land objection: a land-use concern that setbacks, enforceable benefits and bonds can reduce.
Sustained agreement: a modeled case in which every holder of a denial right approves and the developer, utility and community each gain.
Selected package: the set of measures the simulation’s search kept for a project type.
C. The Simulation Asks Which Funded Measures Keep Quantum Sites Approvable
The simulation answers one question. Which funded measures keep quantum-coupled AI data centers approvable, who pays for them, and which constraints remain after every tested measure?
The test covers three project types. Additions place a quantum system at an existing AI facility. Dedicated hubs house quantum systems for many tenants. New campuses run 200 to 500 megawatts.
The companion excludes the outcome of any specific pending permit. The model also leaves quantum’s computational value out, so each quantum-specific measure carries a cost that quantum value must cover.
Takeaway. The governing question separates what can work physically from what survives commercially and politically.
D. Salience Pulls Developers Toward the Wrong Fix
Developers anchor on the most visible delay. Grid connection queues dominate attention, so on-site generation looks like the fastest route to power. The simulation shows developers choosing on-site generation more often than any local measure at large campuses, even though it creates the emissions objection that breaks the agreement.
Counties discount promises they cannot enforce. A community benefit payment shifts political support, but authorities facing backlash give little weight to commitments without clawbacks or bonds. Authorities also decide under docket pressure, so the simulation models their choices with decision noise rather than perfect optimization.
Takeaway. Left to their own decision rule, developers favor the visible fix, so the measures that matter arrive through conditions or rules.
E. An Agreement Survives Only When All Three Parties Gain
An agreement requires three parties to gain at once. The developer must beat its outside option, the utility must recover its costs and the community must come out ahead. A measure that helps one party at another’s expense leaves the bargain short.
Mandates change choices without creating a business case. A parallel MindCast run found that packages meeting every technical condition can still exceed the project’s value, so the developer exits or redesigns instead of complying. Who captures each measure’s benefit therefore decides whether it gets adopted.
Takeaway. The three-party game decides which feasible packages survive, and the survivors depend on who funds each measure.
F. County and Water District Denial Rights Shape Every Modeled Package
The simulation models ten counterparties as Cognitive Digital Twins. The developer and host must beat an outside option, the hyperscaler tenant needs capacity on schedule and the quantum vendor needs systems that recover from outages. The utility serves load without stranded costs, and the state commission protects residential customers through tariff and curtailment authority.
Counties and water districts hold the only denial rights, over zoning and water service. Environmental reviewers condition emissions and noise, the community seeks local benefit and lenders protect repayment under terms modeled by stated assumption.
The run tested 31 measures in six families against twelve objections, from bills and reliability to cryogens, noise and hard land restrictions. Conditional effects reflect engineering limits. Retrofits need headroom, curtailment without recovery terms rebounds and new clean supply counts only when additional and on time.
The search selected a sustaining package for each project type and then removed every measure that added little. The search does not establish a global minimum, so a smaller or lower-cost package may exist. An overlap variant tests weaker combined effects by halving the second and later measures that act on one objection.
Section conclusion. Every tested package must pass a state forum on cost and a local forum on land, water and noise, and the developer must still beat its outside option.
III. Scale-Matched Packages Work Where the Full Catalog Fails
Scale decides the package. Inside each package, measures divide into those that carry the agreement, those that help only under conditions and those that backfire.
A. Scale Sets the Package, and Only Large Campuses Need Every Local Term
The search kept six measures at an ordinary addition and seventeen at a quantum campus.
Addition, ordinary · 96% · $0.31M a year. Six measures: tariff, curtailment, local benefit, bond, setbacks and non-firm service.
Addition, quantum · 95% · $0.97M a year. Seven measures: tariff, curtailment, local benefit, bond, ride-through, battery backup and helium measures.
Hub, ordinary · 90% · $2.8M a year. Nine measures, adding brownfield siting, water supply funding and enforceable benefits to the ordinary addition’s six.
Hub, quantum · 87% · $5.3M a year. Twelve measures: the ordinary hub package plus ride-through, helium measures and an industrial cryogenic plant.
New campus, ordinary · 66% · $138M a year. Thirteen measures, listed below.
New campus, quantum · 62% · $143M a year. Seventeen measures, listed below.
Each package was selected for its own project, so ordinary and quantum entries compare different packages. The quantum addition drops setbacks and non-firm service, which the ordinary addition keeps.
The large-campus package covers four groups:
Grid and cost: tariff, curtailment, deadline-tiered recovery and non-firm service until upgrades.
Siting and local terms: brownfield siting where available, setbacks, local benefit payments, enforceable community benefit agreements and bonds.
Water and backup: water supply funding and battery backup.
Measurement: metering and verified metering.
The quantum campus drops standalone metering and adds five measures. Ride-through and a protected battery reserve count as two. Helium measures, a platform without helium-3 where possible and hub access for compatible workloads make up the other three.
Under the overlap variant, large-campus shares fall to about 48% for both versions. Small additions inside existing service sustain an agreement in about a fifth of cases with no new measures at all.
Takeaway. Over-mitigating a small site costs approval: at an ordinary addition, the broad package sustains 54% of cases against 96% for the selected one.
B. Ride-Through Closes Quantum’s Gap Except Where Cryogen Supply Binds
Two comparisons answer different questions. Identical mitigation isolates quantum’s effect by applying the ordinary package to both sites. Tailored mitigation shows the residual gap after each site gets its own package.
Addition. Under identical mitigation plus ride-through, the quantum site sustains 93% against 96%. Under tailored mitigation, the figures are 95% against 96%, and the whole quantum package costs about $0.7M a year more.
Dedicated hub. Under identical mitigation plus ride-through, the quantum hub sustains 76% against 91%. Under tailored mitigation, the figures are 87% against 90%, at about $2.5M a year more.
New campus. Under identical mitigation plus ride-through, the quantum campus sustains 63% against 64%. Under tailored mitigation, the figures are 62% against 66%, at about $5M a year more.
Without ride-through, quantum cuts the sustained share by 39 to 60 points at every scale. Ride-through costs about $0.1 million a year, annualized, at an addition and restores nearly all of the gap. At hubs, ride-through alone leaves 15 points open until helium measures and an industrial cryogenic plant join the package.
Takeaway. Hosts should budget ride-through before a quantum tenant arrives, and hub operators should secure cryogen supply before counting on ride-through.
C. Tariffs Decide Who Pays and Curtailment Decides When the Grid Can Serve
Grid measures divide into terms that decide who pays and terms that decide when the grid can serve.
Load-bearing: the large-load tariff, paid by the developer, resolves utility cost recovery but not delivery timing. Contracted curtailment, paid by the hyperscaler, carries reliability everywhere. Deadline-tiered recovery keeps deferred work from returning as a peak, and non-firm service until upgrades resolves deliverability at a fraction of new supply’s cost.
Conditional: new firm clean supply counts only when additional and on time. Reassignment to a qualified successor needs utility consent and real successor demand.
Weak before 2031: a credit for released capacity rarely changes outcomes and invites speculative bookings unless eligibility rules and verified value gate it.
Curtailment carries the most weight of any single measure. In removal tests on the broad large-campus package, dropping it cuts the approvable share by 41 points. Without deadline-tiered recovery, curtailment keeps only 50 to 80% of its reliability relief, because deferred work returns as a new peak.
A parallel MindCast run quantified curtailment rebound directly. Deferring 80 megawatt-hours of work into two hours creates a 40-megawatt peak. A release credit set above booking cost also produced a positive return on speculative bookings. Eligibility rules, verified value and retained cost recovery guard against that return.
Takeaway. A tariff without curtailment leaves reliability open, and curtailment without recovery terms returns the load as a new peak.
D. Ride-Through Solves Quantum’s Distinctive Problem at Low Cost
Continuity is the one objection quantum adds on its own, and storage sized to the equipment answers most of it.
Load-bearing: battery ride-through, paid by the host, carries refrigeration and control through short interruptions in every quantum package. A protected battery reserve keeps that energy available where the battery also earns grid revenue.
Conditional: battery backup in place of diesel removes part of the noise from generator tests but not long-duration backup requirements.
Supporting: a benchmark gate verifies complete-workflow claims before quantum scales, without touching physical burdens.
Ride-through lifts a quantum addition’s approvable share by 55 points on its own. Upfront cost runs about $0.72 million at an addition and $5.3 million at a hub under stated assumptions. Hosts adopt it voluntarily in 59% of modeled addition cases, the highest uptake of any measure.
Battery duration limits what ride-through and backup can cover. Where long-duration backup remains required, at 60 to 90% of hub and campus sites, batteries deliver half their noise relief. The parallel run found that an eight-hour battery leaves sixteen hours of a 24-hour event uncovered.
Takeaway. Hosts that sell battery capacity into grid markets need the protected reserve written into the hosting agreement.
E. Enforceability Moves Negotiable Land Objections, and Only Relocation Moves Hard Ones
Developers fund every land and community measure.
Only fix for hard restrictions: brownfield or retired-plant siting, where such sites exist, also eases delivery and noise.
Load-bearing at hubs and campuses: setbacks and noise walls resolve negotiable land use and noise where the parcel fits them. Enforceable benefit agreements with clawbacks address negotiable land use and local benefit, and bonds add financial security at low cost.
Complementary: local benefit payments shift political opposition but leave physical burdens such as noise in place.
Rarely needed: heat reuse helps only where a buyer and a heat network exist.
Hard restrictions appear at 15 to 35% of new campus sites under stated assumptions. Even the best package leaves them binding in 13% of ordinary and 17% of quantum campus cases. Setbacks, enforceable benefits and bonds resolve the negotiable share. Dropping setbacks in the large-campus removal tests cuts the approvable share by 15 to 16 points.
Developers almost never adopt local terms voluntarily: setbacks, enforceable benefits and bonds each raise developer value in under 5% of modeled cases. The parallel run found that heat reuse delivers nothing when the site has no heat buyer.
Takeaway. Counties gain leverage by requiring bonds and clawbacks, since developers rarely offer them unprompted.
F. Supply Funding Beats Over-Engineering, and On-Site Fossil Generation Backfires
Developers fund the water and generation measures, while vendors and hosts share cryogen duties.
Load-bearing: water supply funding resolves supply objections where supply binds. A helium recovery and supply plan cuts cryogen losses at hubs when initial inventory exists.
Conditional: reclaimed water changes the source of supply without cutting total use. A platform without helium-3 helps where the workload allows.
Displaced: water-efficient cooling design cuts direct consumption but adds electricity demand, and supply funding resolves the same objection at lower cost.
Counterproductive: on-site generation relieves grid delivery and creates an emissions objection.
Dropping water-efficient design in the large-campus removal tests raises the sustained share by 7 points, because supply funding resolves the same objection at lower cost. Water supply funding costs about $99 million upfront at a new campus under stated assumptions.
On-site generation breaks more agreements than it saves. With all 31 measures in place, an emissions objection appears in about 81% of cases. Developers still favor on-site generation at large campuses more often than any local measure.
Takeaway. A developer that answers grid delay with on-site fossil generation turns a solvable objection into one no tested package resolves.
G. Hubs Move Compatible Work, and Verified Measurement Supports Enforcement
Tenants pay for hub access, hosts for hub infrastructure and operators for metering.
Load-bearing: hub access lets compatible quantum workloads leave the AI campus, though work needing tight coupling must stay. A shared industrial cryogenic plant secures supply at quantum hubs and adds a single point of failure.
Helpful where available: a hub at a national lab or industrial park eases hub land use and cryogen supply.
Enabling: metering resolves disputed consumption claims but saves no power. Verified metering with a public dashboard checks performance for claims and capacity credits, which contracts must still make enforceable.
Hub access lifts a quantum addition’s approvable share by 38 points. Hubs concentrate failure, however: the parallel run found one hub failure interrupting ten modeled customers. Adding a remote hub to a campus that needs tight coupling made the full package infeasible in four tested cases, and removing the hub restored feasibility.
Verified measurement supports enforcement when contracts define eligibility, remedies and payment conditions. Verified metering raises developer value in 20% of large-campus cases, more than any local term. The benchmark gate verifies complete-workflow benefits before a quantum system scales.
Takeaway. Hub siting should start from coupling needs, since a hub that breaks tight coupling makes the whole package infeasible.
H. Stacking Every Measure Collapses the Agreement
Stacking every measure collapses the agreement. With all 31 measures, the agreement holds in 3% or fewer of cases. The cost exceeds what the developer would accept, and on-site generation adds an emissions objection the community will not accept.
Broad packages also fail without on-site generation. A broad package that adds phased buildout and every local measure sustains 21% of large-campus cases, against 62 to 66% for the selected package. Measures a site does not need still carry their cost.
Takeaway. Matching the package to the site beats adopting the industry’s full catalog of measures.
Section conclusion. Four measures carry most of the weight across scales: tariffs, curtailment, ride-through at quantum sites and enforceable local terms where land is negotiable. Everything else helps only under site conditions, and on-site fossil generation hurts.
IV. Simulation Predictions: Large-Load Tariffs Spread to Most Pending States by 2027
The companion releases one Simulation Prediction, original to the companion and distinct from the overview’s set. States adopt tariffs at a measurable pace, so tariffs are the one solution the evidence lets the simulation forecast.
IV.A State Adoption Pace Makes Tariffs the Most Forecastable Solution
R3-S-1 | Large-Load Tariffs Spread to Pending States
Forecast statement: At least five of the eight states that had only pending large-load tariffs on the Edison Electric Institute list of October 9, 2026 approve a large-load tariff by December 31, 2027. Band: 60–75%.
Pending states: Arizona, Delaware, Maryland, Montana, New Mexico, North Carolina, Oklahoma and South Dakota.
Class and window: event, through December 31, 2027.
Base rate: 23 states approved by May 2026, and 25 approved with 8 pending by October 9, 2026.
Explicit falsifier: four or fewer of the eight states approve a large-load tariff by the deadline.
Verification source: state commission orders and the Edison Electric Institute list. No order found counts as no approval.
R3-S-1 rests on its own event model. The approval shares in Section III are sensitivity results and do not inform its band.
Takeaway. Developers in the eight states should plan on a tariff as the base case rather than the downside.
IV.B Enforceable Local Terms Still Need County Evidence Before a Band
The run withheld bands for three conditions because the evidence did not support release. Each stays under watch and enters a later set of Simulation Predictions when evidence arrives.
First quantum approval decision rests on ordinary burdens. The governing claim rates exploratory, since no county has yet decided a quantum-equipped project.
First tariff that credits released reserved capacity. No precedent exists.
First quantum hosting specification requiring metering by subsystem. None is published.
County decisions on large campuses where developers offered setbacks, enforceable benefits and bonds would support a large-campus forecast. Each decision should show the outcome, its grounds and whether the site carried a hard restriction.
IV.C State Authority Over Tariffs Anchors the Forecast
A federal rule setting large-load terms would break R3-S-1’s mechanism. FERC’s October 9 order treated retail curtailment terms as a matter of state jurisdiction, so the forecast assumes state commissions keep that authority through 2027.
The assessment rests on stated assumptions. Counterparty positions at the county, water district, utility and lender are modeled. So is the share of sites carrying hard restrictions. Costs are anchored to public data and need site quotations before they support a decision.
Section conclusion. The tariff forecast anchors the near term, while the large-campus finding waits on county decisions that would support a band.
V. Every Stakeholder Should Classify the Site, Fund the Anchors and Enforce Local Terms
Counties and commissions impose the terms, developers and hosts fund them, counsel drafts them and investors decide which packages to underwrite. Exposure therefore lands on each party at a different point in the sequence.
Counties Gain Most by Requiring What Developers Will Not Volunteer
🏛️ Policymakers. State commissions hold the tariff and curtailment levers, while counties hold the denial right. Tariffs answer residential bill exposure, and curtailment with deadline-tiered recovery answers reliability. Counties gain the most by requiring setbacks, enforceable benefits and bonds as conditions, since developers rarely offer them voluntarily.
💼 Executives. Developers, hosts and hyperscalers share one sequence. Classify the land objection first. Then budget tariffs, curtailment and non-firm service, and add the local terms the site needs. Hosts protect quantum equipment with ride-through and a protected reserve before the first tenant installs.
⚖️ Counsel. Enforceability separates a community benefit from a payment. Clawbacks and bonds strengthen remedies and financial security, while verified metering lets counties check performance. Service agreements signed in the eight pending states should anticipate tariff terms (R3-S-1).
📊 Investors. The selected package by scale is the right underwriting case. Selected quantum packages cost about $0.7 million a year more at an addition and $2.5 million more at a hub, which quantum value must cover. Hard land restrictions and on-site generation mark the cases where no package sustains the agreement.
Measured Gaps Become Documented Knowledge Once a Party Finds Them
MindCast’s Foresight-to-Duty Conversion in AI Governance (2026) shows how an institution’s own measurement becomes evidence once it keeps the gap it found. The solutions assessment produces such measurements early: land classification, ride-through sizing, rebound schedules and cryogen inventory.
Judge Learned Hand’s formulation weighs the burden of precaution against the probability and magnitude of harm together. Several tested measures carry small modeled burdens, such as ride-through at about $0.1 million a year at an addition. A low modeled mitigation cost alone does not complete that analysis, because probability and magnitude depend on the site.
Hard land restriction found after site commitment. The developer’s site team holds the measurement and the developer funds the fix. County planning staff verify it.
Quantum equipment without sized ride-through. Host engineering holds the measurement and the host funds the fix. Vendor recovery tests and the tenant verify it.
Curtailment without a catch-up schedule. Hyperscaler operations hold the measurement and the hyperscaler funds the fix. The utility verifies it.
Community promise without clawbacks or bond. The developer’s community team holds the measurement and the developer funds the fix. The county and community verify it.
Cryogen plan without confirmed initial inventory. The vendor and host hold the measurement and the vendor funds the fix. The tenant and host verify it.
On-site generation proposed as a delivery fix. The developer’s energy team holds the measurement and the developer funds the fix. Environmental reviewers verify it.
Takeaway. Documented awareness can strengthen the case for evaluating and addressing a foreseeable risk.
Site Classification Comes First and Quantum Continuity Terms Follow
The sequence starts with site classification, because every later spend depends on whether the land objection is hard.
Now to 30 days: classify every pipeline site as hard or negotiable before a county cites a non-negotiable standard.
30 to 90 days: add clawbacks and bonds to pending benefit agreements before a county requests enforceable terms.
3 to 12 months: model tariff terms in the eight pending states before a pending tariff reaches a commission vote.
Beyond 12 months: write ride-through and reserve duties into hosting agreements before a quantum tenant signs a letter of intent.
Tariff Spread Exposes Budgets, Dockets, Agreements and Underwriting
Entry 1 · 💼 Developers · R3-S-1 (60–75%).
Exposure: a developer that budgets a large campus in one of the eight states at standard service terms omits a modeled $58 million upfront and $27 million annual tariff-and-upgrade obligation if its state adopts comparable terms. Severity: high. Probability: R3-S-1 forecasts the eight-state count only and supplies no probability for any single state or developer.
Mitigating actions: the development finance lead models tariff terms in every pro forma for the eight states before the next interconnection filing. The commercial lead negotiates minimum-demand and exit terms before the state’s tariff order. The site lead ranks pipeline sites by tariff exposure through December 31, 2027.
Residual exposure: final tariff terms vary by state and may exceed the modeled obligation.
Entry 2 · 🏛️ Policymakers · R3-S-1 (60–75%).
Exposure: a pending state that has not approved a tariff by end-2027 leaves residential customers exposed to stranded upgrade costs for at least one more session calendar. Severity: high. Probability: R3-S-1 forecasts the eight-state count only and supplies no probability for any single state.
Mitigating actions: commission staff publish draft terms with minimum charges, collateral and exit fees before the 2027 sessions. Staff pair the tariff with curtailment priorities, as Commissioner Rosner’s concurrence urged state regulators to establish.
Residual exposure: large customers can contest terms and delay a final order.
Entry 3 · ⚖️ Counsel · R3-S-1 (60–75%).
Exposure: a service agreement executed in a pending state without tariff-change provisions widens the dispute over which terms apply once a tariff takes effect. Severity: moderate. Probability: R3-S-1 forecasts the eight-state count only and supplies no probability for any single state or agreement.
Mitigating actions: transaction counsel adds tariff-change provisions to agreements executed before each state’s order. Regulatory counsel documents the client’s assessment of pending docket terms before execution.
Residual exposure: a commission may apply new terms to agreements signed during the pending docket.
Entry 4 · 📊 Investors · R3-S-1 (60–75%).
Exposure: an underwriting case using standard service terms in the eight states overstates annual margin by the tariff cost, about $0.94 million at a hub and $27 million at a large campus under stated assumptions. Severity: moderate to high. Probability: R3-S-1 forecasts the eight-state count only and supplies no probability for any single state or asset.
Mitigating actions: the credit committee applies tariff terms to the base case in all eight states through 2027. The diligence lead requires the utility’s draft terms before closing.
Residual exposure: a state that adopts unusually strict terms can still compress returns below the modeled case.
Nothing in Section V constitutes legal, investment or fiduciary advice.
Section conclusion. The tariff forecast gives every party the same near-term action: build tariff terms into budgets, dockets, agreements and underwriting before the eight pending orders arrive.
VI. Local Enforceability and State Tariffs Divide the Work
Counties and water districts decide large campuses, while developers and hyperscalers fund most of what those authorities require. The split shapes institutions, distribution and the consequences of a missed tariff forecast.
A. County Conditions Will Shape More Outcomes Than Statewide Rules
Counties and water districts hold the vetoes that decide large campuses. State tariffs resolve utility cost exposure but leave land, noise and water with local authorities. Local conditions requiring enforceable terms will therefore shape more outcomes than any statewide rule.
B. Developers Fund the Local Terms and Hosts Fund Continuity
Developers fund most local measures, while hyperscalers fund curtailment and non-firm service. Hosts fund ride-through and gain the early quantum tenants. Residents gain bill protection from tariffs and local terms from enforceable agreements.
C. A Missed Forecast Could Leave Utility Cost Terms to Case-by-Case Negotiation
If R3-S-1 fails, four or fewer of the eight pending states approved a tariff by the deadline. Utility cost terms could then continue through case-by-case negotiation. The assessment’s other findings would still hold, since they rest on sensitivity results rather than on the forecast.
Section conclusion. State tariffs and local enforceability divide the work, and neither substitutes for the other.
VII. Each Installment Inherits a Tested Measure and an Open Question
Each of the five installments inherits a tested measure from the companion and an open question it must answer with its own simulation.
Power grid: curtailment, recovery terms and non-firm service arrive as load-bearing measures. The grid installment will test whether flexibility terms change reserved capacity and peak.
Cross-border compute: hub access carries additions, while hubs concentrate failure. The cross-border installment will test where compatible quantum workloads move under export controls.
Clean technology market: ride-through, protected reserves and cryogenic plants become purchased services. The clean technology installment will test what clean developers and storage suppliers can sell.
Environmental balance: on-site generation rates counterproductive, and supply funding beats over-design. The environmental installment will test total burden by architecture, with rebound.
Data center approval: the split between hard and negotiable land carries forward, along with enforceable county conditions. The approval installment will test county decisions on quantum-equipped projects and the credibility of claims.
Section conclusion. The approval finale inherits the most, because the companion’s central claim on enforceable local terms still awaits county evidence.
Tariff Orders in Eight States Resolve the Forecast First
Four signals resolve or move the companion’s forecast and watch conditions.
Resolves R3-S-1: large-load tariff orders in the eight pending states, reviewed monthly in commission dockets and the Edison Electric Institute list.
Breaks R3-S-1: a federal large-load rule, reviewed at each FERC order.
Supports a large-campus forecast: county decisions on campuses offering enforceable terms, reviewed quarterly.
Releases watch conditions: tariffs crediting released reserved capacity and quantum hosting specifications with subsystem metering, reviewed quarterly.
Section conclusion. Monthly tariff orders resolve R3-S-1, while quarterly county decisions decide whether a large-campus forecast follows.
Conclusion: Counties and Commissions Decide Whether the Measures That Matter Arrive
Physical constraints decide which agreements can work, and funding, enforcement and counterparty incentives decide which of them survive. Large-load tariffs and contracted curtailment anchor the selected packages for new service. Ride-through answers quantum’s continuity objection at low cost, while cryogen supply keeps a gap open at hubs.
In the model, large campuses become approvable more often where the land objection is negotiable and the county can enforce the terms. Hard land restrictions, long-duration backup noise and on-site generation remain the cases no tested package resolves. Developers rarely volunteer the measures that matter most, so counties and commissions will decide whether those measures arrive.
The decisive near-term signal is tariff adoption in the eight pending states. If four or fewer approve a large-load tariff by December 31, 2027, R3-S-1 fails. Utility cost terms could then continue through case-by-case negotiation.
A Site’s Package Depends on Inputs Public Analysis Cannot See
Public analysis cannot tell a specific developer which package its site needs. The answer depends on whether the land objection is hard or negotiable, how much existing service covers and what the county will enforce. Site inputs stay confidential.
MindCast builds Cognitive Digital Twins of the developer and its counterparties: utility, county, water district and prospective quantum tenants. The engagement reruns the package search against the site’s actual options, costs and counterparties.
Commissioned scope adds complete probability distributions, P10/P50/P90 ranges and organization-specific calibration. The scope also adds package alternatives by cost, removal tests on every measure and red-team tests of county and utility responses.
The bounded next step is a scoped site diagnostic: one site, one county and one package decision. Contact mcai@mindcast-ai.com or visit www.mindcast-ai-simulation.com to arrange it.
Appendix A. Selected MindCast Works
The series
How Quantum Technology Changes the AI Data Center Energy, Compute and Environmental Calculus (October 2026). The series overview. Names the burdens quantum shifts across power, cross-border compute, clean technology, environment and approval, which the companion tests solutions against.
Frameworks and methods
The Dynamic Predictive Game Theory Collection (July 2026). Supplies the changing-game frame used to model the three-party bargain among developer, utility and community.
The Authorization Market: Standardized Bargaining, Rationed Power, and the Competition to Build America’s AI Infrastructure (August 2026). Supplies the finding that connected power is not firm power, which frames non-firm service until upgrades.
Burden-Based Authorization for AI Data Centers, Modular Clean Compute, and the Backlash Gap Between Grid Tariffs and State Law (September 2026). Supplies the measured-burden test behind the split between tariffs and local conditions.
Foresight-to-Duty Conversion in AI Governance, Series Introduction (October 2026). Supplies the conversion of measured gaps into evidence of awareness, the frame for the Foresight-to-Duty list.
Related AI data center analysis
AI Data Center Veto Points Show Where Projects Get Stopped and How Authorization Risk Moves (September 2026). Maps the county and water district vetoes that the selected packages must clear.
The Lowest-Exposure AI Data Center Approval Route for Developers, Hyperscalers and Investors (September 2026). Supplies the route-selection logic that the scale-matched packages extend.
The Grid-Anchored Clean Power Bargain: Powering AI Data Centers Through 2040 (September 2026). Supplies the firmness inversion that keeps quantum islands apart from curtailable campuses.
The Clean Compute Match: Which Clean Power Pairs With Which AI Compute, And What Stays On Fossil(September 2026). Pairs firm clean power with anchored compute, the supply route the companion rates conditional.
Appendix B. External Sources
Edison Electric Institute, “List of Large Customer Projects and Tariffs“ (updated October 9, 2026).
FERC, Order on PJM Interconnection Large Load Proposal, Docket ER26-3515-000 (October 9, 2026).
Utility Dive, “FERC Rejects Core of PJM Large Load Interconnection Plan“ (October 2026), reporting Commissioner Rosner’s concurrence.
Data Center Watch, “$64 Billion of Data Center Projects Have Been Blocked or Delayed amid Local Opposition“ (2025).
Bracewell, “Governor Abbott Orders TCEQ to Pause All Permit Issuance for Data Center Projects“ (September 23, 2026).
AEP Ohio, Data Center Tariff (Schedule DCT).
Columbia Law School Sabin Center, “Data Center Regulation: What Local Governments Should Know about Large-Load Tariffs and Clean Transition Tariffs“ (June 2, 2026).
Duke University Nicholas Institute, “Rethinking Load Growth“ (February 2025).
NREL Annual Technology Baseline, Commercial Battery Storage.
