About

Signal over noise.
Every Friday.

AI Insights is a weekly intelligence briefing written for senior technology leaders at global banks and large enterprises — not for developers, not for hobbyists.

Why this exists

The signal problem.

If you run technology at a bank, you have a problem: there is more news about AI than any executive could read in a week, and most of it is wrong, exaggerated, or simply doesn’t matter to your operating environment.

Vendor blogs over-claim. Technical news is written for an audience of practitioners. Mainstream coverage chases the breathless. None of it is calibrated for the question “does this change a decision I’m about to make?”

AI Insights answers that question, once a week, in under ten minutes of reading.

The rubric

Seven dimensions, scored before publication.

Every item that survives ingestion is scored across these seven dimensions by a structured Claude prompt against domain-specific criteria. The result drives both selection and the editorial framing.

Evidence strength

How much actual evidence backs the claim — papers, deployments, audited numbers — versus marketing.

Novelty

Is this genuinely new, or a repackage of something we covered three weeks ago?

Enterprise relevance

Will this affect technology decisions at scale in real organisations within the next 6–18 months?

Banking relevance

Specifically: does this matter to G-SIBs and large banks under PRA/FCA/OCC/ECB scrutiny?

Implementation maturity

Is this lab work, an experimental release, or a real production-ready system?

Hype level

How much of the surrounding noise is signal vs marketing. We expose this score, not hide it.

Actionability

Can a leader actually do something with this information, or is it just colour?

What to actually do about it.

Every kept item carries a recommended posture — a clear stance an executive can hold in a meeting without having to invent one.

WATCH

Track this. No action required, but should be on your scanning list.

EXPLORE

Worth a structured 1–2 week investigation by a small team.

PILOT

Mature enough for a contained, time-boxed proof of concept.

IGNORE

Surface noise. Filed for completeness, not for action.

Editorial principles

What we will and won't do.

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No vendor pitches. Ever. We do not run sponsored content. If a vendor is mentioned, it is because their work moved a decision.
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No hype laundering. If something is overhyped, we say so explicitly — and devote an entire section per edition (Contrarian Take) to making the case.
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Hype score is exposed. Other publications hide editorial judgement. We score every story for hype on a 1-10 scale and show it next to the headline.
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Banking-first framing. Most AI coverage ignores regulatory weight. We treat it as a primary axis.
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No engagement bait. No clickbait headlines, no tracking pixels in email, no growth hacks. One short briefing per week is the entire offer.

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