The AI news cycle never stops. Every week brings a new model launch, a new benchmark, a new controversy — and dozens of newsletters competing to be first with the headline.
Most of it is noise. A lot of it is hype. And almost none of it answers the question that enterprise leaders and practitioners actually need answered: what does this mean for me, and what should I do about it?
Distilled AI Digest was built to answer that question. Every week, we read the newsletters so you don't have to — and we distil the week's signal into five stories with the context, the consequences, and the strategic implications that matter.
Each issue covers five stories, selected against a single filter: would a senior enterprise technology leader need to know this to do their job well next week?
We draw from primary sources — lab announcements, research papers, earnings calls — and from a curated set of the best analyst and practitioner voices in the space, including Gartner, McKinsey, Turing Post, Superhuman, Mindstream, and more.
We don't chase clicks. We don't amplify rumours. We don't pretend certainty where there is none. And we never write a headline we can't defend three months later.
Subramanian Ranganathan (Ram) writes the Distilled AI Digest. He is an enterprise technology partner and business leader with a track record across financial services, consulting, and digital transformation.
Ram started D·A·D because he found himself spending hours every week tracking the latest AI tools, breakthroughs, and solutions to stay ahead in a fast-moving landscape — and realised the synthesis itself was more valuable than any single source. The newsletter is that synthesis, made available to everyone.
Published every Sunday. Free, always.
Seven issues in. Every one is in the archive, free to read.