Five layers of AI tooling, and the comms job each one is for
The problem is not that comms professionals are using AI badly. It is that most of them are using one layer of it and assuming that is all there is.
The Structural Clock: Elif Güvençer on What Communications Must Become in the Age of AI
What is the communications function now for, and will communicators rebuild it before the answer is decided for them?
Why is AI losing the communications and PR war?
AI's leading voices are losing the communications war because they are fighting a publicity war instead. They are spending on the message and neglecting the fundamentals.
The 20 roadblocks between comms and useful AI – and what to do about them
Ask a room of communications professionals what stops them getting value from AI and you tend to hear the same one or two answers: it makes things up, or the lawyers will not allow it. Both are real. Neither is the whole picture.
One Year of Applied / Comms With AI: What We Learned, What Changed, Where We Are Now
A little over a year ago, I began the Applied / Comms With AI newsletter began with a simple promise: to experiment, fail, learn, and share everything along the way. Twelve months, two dozen-plus experiments, tool tests and practitioner interviews later – as well as a couple of recent awards wins
Comms With AI: How I Built an Award-Winning AI Communications Tool in 3 Months (and What I Got Wrong)
Three months ago I documented building Comms With AI with Claude Code. On 18 June it won Gold at the inaugural AI Comms Awards, and I was named AI Communications Leader of the Year.
The Pilot Trap: Comms With AI in the Transform Phase
Most AI initiatives in communications do not fail because the tools fail. They fade because nobody owned the change. This final article in the series is about the difference between a clever pilot and a capability that lasts.
The Lag Problem: Comms With AI in the Monitor Phase
Most monitoring tells comms teams what happened after the moment to act has passed. The Monitor phase asks a sharper question: how quickly can your team detect, interpret and respond to what is happening now?
The Honesty Gap: Ben Verinder on AI, PR and Trust
Ben Verinder has researched AI in public relations for eight years. In this Applied Comms AI Leader Interview, he explains why the policy gap everyone talks about sits on top of a deeper one: an honesty gap between teams, agencies and the people they serve.
The Cost of a Miss: Comms With AI in the Govern Phase
Every efficiency gain in the Create phase lands as a workload increase in Govern. More content, produced faster, still has to be checked, approved, and stood behind. This article is about the phase where AI created the problem before it offers any of the solution.
The Volume Problem: Comms With AI in the Create Phase
Most AI adoption in communications starts with content creation. The real test is not whether agents can produce more, faster. It is whether agent-assisted work still meets the standard senior communicators would trust in public.
The Work Before the Work: Comms With AI in the Strategise Phase
Most AI conversations in communications start with the draft. That framing misses where quality is actually set – in the research, positioning, stakeholder mapping, and message architecture that happens before a single sentence gets written.