Methodology
Clear sources. Focused analysis. Nothing hidden.
Compute Current exists to help readers understand what is actually constraining the AI buildout. These are the principles every published piece follows.
We work from public reporting
Coverage is grounded in publicly available material: news reporting, company announcements, regulatory and financial filings, and primary technical publications. Every article links to the original source it draws on, and the source remains the authoritative record.
We stay inside our beat
The publication covers the physical and financial layer of AI: power and grid access, data centers, semiconductors and systems, cloud capacity, cooling, policy and siting, and the capital behind all of it. Stories outside that boundary do not get forced into it.
We separate facts from interpretation
Facts come from the linked source. The added value — why a development matters, who is affected, and what to watch next — is clearly editorial framing, and it must stay consistent with what the source actually supports. When the evidence is thin, we say less, not more.
We hold analysis to a quality bar
Not every item becomes a full analysis. Pieces are reviewed for accuracy against their source, for repetition, and for whether they genuinely help an infrastructure reader make a decision. Items that fall short run as shorter briefs with a source link, or not at all.
We disclose how we work
Production combines editorial tooling, including AI assistance, with fixed publication standards — described in the AI-assisted disclosure andeditorial policy. Corrections are applied directly to the published page; the fastest way to flag one is the contact desk.