u/TyNads

Scrubgrass, PA Site Analysis

Scrubgrass, PA Site Analysis

Hey everyone,

We just posted our final site research analysis for KEEL for now!

We hope you have enjoyed this series and gotten a lot of value and understanding of where Keel is at in its developmental pipeline.

If you want to stick around for more of our AI infrastructure research, consider checking out our free newsletter for weekly updates. We will have more Keel reporting in the future!

We will also be updating our full model and forecast shortly after earnings.

Scrubgrass is a 750-acre site in Venango County, Pennsylvania, with options on an additional 1,100 acres.

The land carries an industrial legacy that creates an unusual starting position.

An 85 MW waste coal generating plant from the original buildout, a Stronghold-era bitcoin mining phase that proved on-site compute could operate continuously, and a Bitfarms acquisition that consolidated ownership before redomiciling and rebranding as Keel Infrastructure in early 2026.

The site holds 63 MW of secured grid capacity today, inherited from the legacy plant and existing FirstEnergy interconnection.

FirstEnergy is currently processing an active load study for an additional 750 MW, with visibility expected in the second half of 2026.

That study is not firm capacity. It sits in the pipeline category until it converts to an executed Electricity Service Agreement.

Separate from grid expansion, Keel is evaluating a 550 MW behind-the-meter natural gas plant using combined-cycle gas turbines.

The site sits near the Tennessee Gas Pipeline Zone 4 200 Line trading hub, providing direct access to competitively priced fuel.

If both the 750 MW grid study and the 550 MW gas option advance, the site's theoretical ceiling approaches 1,363 MW, large enough to qualify as a genuine gigacampus.

The most visible environmental overhang is the legacy coal ash pile.

A March 2025 settlement with Earthjustice requires Keel, through the Scrubgrass Reclamation Company, to complete removal by September 2026, a deadline accelerated 14 months from the original regulatory schedule.

A January 2025 FERC settlement also closed out approximately $1.4 million in penalties tied to Stronghold-era market violations between 2021 and 2022.

PJM matters structurally. The grid is facing a supply-demand imbalance driven by traditional generation retirements and surging data center demand concentrated in markets like Northern Virginia.

Available, interconnected power within PJM has become scarce. Sites with grid access and expansion room sit in a meaningfully different competitive position than comparable acreage outside the constrained zone.

The financing model is the powered shell with credit-wrapped lease structures. Keel signs a long-term lease with an investment-grade or near-investment-grade tenant, then uses that contracted cash flow to secure project-level financing.

What the market is missing and why this site matters

The bottleneck in AI infrastructure is power delivery.

Grid queue timelines in many U.S. markets stretch beyond five years for new interconnection requests, and available power in core PJM markets is increasingly spoken for.

Sites that already hold grid-connected capacity, industrial zoning, transmission infrastructure, and pipeline access skip a meaningful portion of that timeline.

Scrubgrass holds an unusual combination of those ingredients.

Most coverage either treats the site as a legacy waste coal asset that may eventually pivot, or extrapolates the full 1,363 MW ceiling as if it were already firm capacity.

Both framings collapse a real conditional opportunity into a single point estimate.

The site's actual position sits in the middle. 63 MW of operational capacity is real.

The 750 MW load study is credible given the existing FirstEnergy relationship and interconnection, but it is not yet firm.

The 550 MW gas plant is real optionality given confirmed pipeline proximity, but turbine selection, permitting, and capital commitments remain in evaluation.

The cleanup is on an accelerated schedule that has to land on time. None of these are speculative. None of them are settled either.

This is where the report does its work. It separates secured capacity from pipeline capacity from optionality.

It traces how the site got to its current starting position, what each phase of ownership left behind, and why the FERC enforcement history matters for how future co-location must be structured.

It maps the customer fit between hyperscaler deployment requirements and neo-cloud powered-shell economics, and it explains why western Pennsylvania latency to northeastern population centers becomes more relevant as AI deployment shifts toward inference.

Three things make this worth tracking. The starting position is genuinely difficult to replicate from scratch.

Power access, land scale, PJM location, and gas pipeline proximity are individually valuable and collectively rare.

The path forward is legible with specific milestones that can be observed over the next 12 to 18 months. And the financing mechanism does not require Keel to self-fund. It requires a creditworthy anchor tenant to make the capital stack work.

The risks are equally specific. The load study may not convert to firm capacity on the implied timeline.

The gas option may stall in permitting.

Cleanup slippage past September 2026 would create institutional diligence problems.

The absence of a publicly announced anchor tenant means the lease-driven financing model remains theoretical.

And FERC enforcement history requires that any future co-location maintain clear physical and contractual separation between generation and data center loads.

Scrubgrass is one of the more interesting raw setups in the AI infrastructure transition pipeline.

Whether the ceiling gets reached depends on execution across several fronts in a compressed timeline.

The next 12 to 18 months will determine whether the site becomes a credible AI campus or remains an unusual collection of unrealized inputs.

northwiseproject.com
u/TyNads — 6 days ago

Hey everyone,

I run a small independent research shop and posted quite a few times here last year.

We shifted our focus quite a bit to the AI infra buildout last quarter, as we saw quite a bit of value there, but have recently turned back to value and currently see SAAS as an opportunity (some names).

Recently published our full analysis and modeling for NOW and see it as a pretty appealing opportunity.

Not often you can get a 20%+ grower at these valuations, especially one that may actually benefit short to medium term from AI sales integrations.

I've included the full report link, as well as an overview for those that prefer staying on the sub.

ServiceNow operates as a workflow control platform embedded inside large enterprises, governing how requests, approvals, incidents, and tasks move across IT, HR, security, customer service, and finance. Calling it generic SaaS understates how the revenue actually compounds inside accounts.

Q1 2026 subscription revenue grew 22 percent year over year, with FY2026 subscription guidance of $15.74B to $15.78B and total revenue near $16.2B. Remaining performance obligations sit at roughly $27.7B, up 25 percent, providing forward visibility that materially exceeds current-year revenue.

The AI debate reduces to a single fork. Does AI reduce the volume of work routed through enterprise systems, or does it expand it. Each AI deployment inside a regulated enterprise creates a governance surface that did not previously exist, and the response to agent failure modes inside large organizations is more governance, not less.

Stock-based compensation has declined as a percentage of revenue from 17.9 percent in 2023 to a guided 15 percent in 2026, but absolute dollars have risen to roughly $2.4B. ServiceNow repurchased 20.1M shares in Q1 2026, but the activity functions as dilution control rather than per-share leverage.

Our 2030 scenario range spans from a Bear case of 10 to 12 percent revenue CAGR producing $5.46 to $6.07 EPS, to an Ultra Bull case of 25 to 28 percent revenue CAGR producing $12.01 to $13.94 EPS. The width of that range reflects genuine uncertainty about whether AI fragments or consolidates enterprise workflow infrastructure.

The Ultra Bull case does not depend on ServiceNow building better AI models. It depends on ServiceNow becoming the system enterprises rely on to make AI behave like enterprise software rather than experimental code, capturing a category of agent-driven workflow demand that did not previously exist.

Why NOW is worth a closer look out of the SaaS names

The market is pricing ServiceNow as a SaaS casualty of AI. The framework underneath that pricing assumes AI commoditizes workflow automation, compresses seat-based revenue, and routes new enterprise activity through hyperscaler or model-provider orchestration layers. Apply that framework, and the multiple compresses with the rest of the SaaS complex.

The framework has a problem. It treats AI as something that happens to enterprise software, rather than something that happens inside enterprises that already run on enterprise software. Those are different questions, and they produce different answers.

Inside large regulated organizations, AI deployment does not reduce the need for governance. It expands it. CIOs, CFOs, general counsel, and chief risk officers all need to know who authorized an agent action, what data the agent accessed, what permissions it used, what downstream systems were affected, and whether the audit trail holds up under regulatory review. None of those questions get answered by the model. They get answered by whatever system surrounds the model.

ServiceNow already runs the system that surrounds enterprise activity. Approvals, ticket routing, identity-linked actions, change management, audit trails. The platform was built around the idea that enterprise actions need authorization, documentation, and traceability, which is exactly what an AI governance layer needs to provide.

That mismatch between the SaaS-casualty framing and the actual enterprise reality is where the opportunity sits. Either ServiceNow extends its existing role into the AI control layer, or AI deployment inside regulated organizations stalls until something else takes that role. Both outcomes carry information the current price does not appear to reflect.

This is worth time for three reasons. The forward visibility is unusually high for a name being priced as if growth is at risk. The conditional upside is real and underwritten by an installed base that competitors cannot replicate quickly. And the bear case does not require AI to fail. It only requires the control layer to form somewhere else, which is a debate worth having explicitly rather than collapsing into the broader SaaS narrative.

u/TyNads — 18 days ago