Intelligence for AI infrastructure decisions

Workloads · Power · Planning · Delivery

The big question / AI infrastructure

Can the UK compete for the next wave of AI infrastructure?

The answer depends on the workload. Look beyond headline megawatts to location, electricity costs and the capacity that can actually be delivered.

Analysis · Includes electricity-cost sensitivity

Read the analysis

Power, computing and demand. A conceptual illustration, not a real site.

Behind the project headline

All articles

Power / Agreements & availability

What does “power secured” actually mean?

An application, a reported agreement and an energised connection are different things. Manor Farm, Wapseys Wood and Pinewood show why the distinction matters.

Analysis · 3 October 2026

Planning / Consent & conditions

Planning is not delivery

Permission does not establish construction. Read the application, the relevant phase and the conditions before treating consent as delivered capacity.

Analysis · 3 October 2026

Project evidence / Claims & sources

Why headline MW cannot tell the whole story

Four projects show why planning decisions, power claims, customer commitments and delivery forecasts need different evidence, not one status label.

Analysis · 2 October 2026

These three analyses use evidence retained through 1 October 2026. Publication dates are not new project observations. This is analysis, not a live status feed.

The Smarter BI approach

Know what the evidence actually supports.

For readers assessing projects, allocating capital or choosing where to run AI: separate the announcement from the decision it can support.

Explore the research

Keep the boundaries: IT load, incoming supply and generation are different measures. So are one phase and a whole campus.
Keep the attribution: A developer’s statement, an official decision and an observed outcome establish different things.
Keep the unknowns: A forecast is not a completed milestone. Unverified does not mean absent, zero or adverse.

From research to a practical decision

Services

For teams choosing AI hosting

Start with your workload.
Not a supplier shortlist.

Model APIs, GPU cloud or your own hardware? An AI hosting requirements review helps clarify what needs to run, what constrains the choice and what to investigate next.

Explore the requirements review

A focused starting point

Your workload and current setup
Cost, latency and location constraints
The evidence needed for your next decision

Delivered by Pishty, an independent software engineer. Early-stage service: scope and any fees are agreed before work begins. No guaranteed savings or automatic supplier introductions.

Discuss your requirements