When you ask GTM leaders about AI, you expect a wish list of capabilities back. Smarter models, better content, sharper agents. But that's not what we saw on our survey.

In this episode of The Context Layer Tapes, Florin Tatulea and John Lloyd pick up where episode one left off, digging into what GTM leaders actually want AI to do and why they still can't. Nearly 40% described the same ambition in their own words, and it wasn't more AI. It was AI that connects the data they already have and acts on it instantly.

Florin and John break down why leaders aren't asking for capability but writing the build spec, why the signals (and the people who own them) keep bouncing off each other instead of connecting, and the automated signal-to-action play that turns scattered intent into a tailored offer in the right rep's hands the same day.

Same ambition, same AI. The only thing standing between "we wish we could do this" and "we do this every day" is the layer underneath. Stop wishing AI could connect what you have. Build the layer that connects it.

Every GTM team that's invested in AI in the last 18 months expected leverage. What they got was a sophisticated form of double-checking.

In this first episode of The Context Layer Tapes, Florin Tatulea and John Lloyd unpack fresh research from 50 senior GTM leaders at US enterprise companies. The top three things blocking them from getting value out of AI aren't three problems. They're one problem, showing up three times. And no, it's not the algorithms.

Florin and John break down why the AI conversation has been pointed at the wrong layer for years, why "nearly right" AI is the silent killer of time savings, and the play GTM teams need to run if they want AI to actually deliver.

AI thrives on context. Give it foundational context and watch it do wonders.