The AI Grid Report

The AI Grid Report

Everything Connects in Texas. That’s the Problem.

ERCOT has the fastest interconnection in the U.S.—and the highest system stress. The constraint didn’t disappear. It moved.

Neil Winward's avatar
Neil Winward
Apr 21, 2026
∙ Paid

The Paradox

Texas has a 0% withdrawal rate.

Every project in the interconnection queue gets through.

→ No mass cancellations.
→ No multi-year attrition.
→ No system breakdown at the application stage.

On paper, it’s the most efficient grid in the United States.

But the queue is only one part of the system.

The grid behind it is a different question.

From Hardware Constraints to System Constraints

Last week, we outlined the emerging hardware constraint — transformers, substations, and long-lead equipment.

This week, the focus shifts.

Texas doesn’t fail at the hardware layer. It doesn’t fail at the queue.

It fails somewhere else.

Two Systems, Two Outcomes

The contrast with PJM is stark.

PJM:

  • 9,251 active projects

  • 67.4% withdrawal rate

  • ~3.5-year average wait time

ERCOT:

  • 1,832 active projects

  • 0% withdrawal rate

  • ~710-day average timeline

Two systems. Two completely different outcomes.

At first glance, the conclusion seems obvious:

PJM is constrained. ERCOT works.

But the data doesn’t fully support that.

The Signal Beneath the Surface

Demand pressure tells a different story. Demand pressure is measured as the ratio of generation ready to deliver power to peak load (which is a close proxy for the grid’s capacity to satisfy that load).

PJM demand pressure:

  • ~3.0x

ERCOT demand pressure:

  • 5.4x — the highest in the country

Nearly six times more capacity is attempting to connect than the system currently supports.

Where the Model Starts to Break

So:

  • every project gets through

  • timelines are shorter

  • the queue appears functional

And yet:

  • the system is under the highest pressure in the country

Those two things should not coexist.

The Open Question:

If the queue isn’t the bottleneck, where does the constraint actually show up?

In This Week’s Edition

Most analysis stops at the queue.

That’s not where the problem is.

This week’s edition breaks down:

  • why 0% withdrawal does not mean low risk

  • where ERCOT is already showing signs of saturation

  • how the constraint moves from the queue to the operating grid

  • what the reliability tradeoff actually means for AI infrastructure in Texas

The full Constraint Index shows exactly where this pressure is building—and where it’s about to break.

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