The AI Adoption Gap

​Everyone is using AI. Almost nobody has embedded it to its full potential.

​Over the summer, we surveyed 50+ founders, CMOs and heads of growth at startups and scaleups about what they are actually doing with AI. Not what they plan to do — what is running today. How it got rolled out. What they spend. How many tools they juggle. What they have genuinely built. And how autonomous any of it really is.

​The headline finding is uncomfortable and useful in equal measure: AI as a productivity tool is solved. AI as an operating system is not. Teams are broad but shallow. Adoption is bottom-up and fragmented rather than designed. And the ceiling isn't tool access — it's connecting AI to your own data, holding your institutional knowledge, and having someone actually own it.

​In 45 minutes we'll walk through the full findings, show you where your team sits against companies your size and stage, and break down the three things the teams getting compounding value do differently.

​What you'll get

• ​The full research report — first-party data, before it's published anywhere

• ​Your own benchmark: spend, tool count, use cases and autonomy against companies your size

• ​The three behaviours that separate teams getting compounding value from teams getting time savings

• ​A working example from a growth team that built it, including what it cost in hours and what broke

• ​Live Q&A

​Who it's for

​Founders, CMOs and heads of growth at startups and scaleups who are past the experimenting stage and trying to work out what "embedded" actually looks like in practice.

​Agenda

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• ​14:00 — Why we ran this, and what the sample looks like

• ​14:05 — The findings: what's working, what's stuck, where it's going

• ​14:20 — What the leaders do differently

• ​14:30 — A practitioner on what they actually built

• ​14:40 — Q&A and your benchmark

​Can't make it live? Register anyway — we'll send you the recording and the report.

​Hosted by GREX AI. GREX is a growth operating system. It connects your stack into channel-level workflows and runs them with AI agents, so a small team operates like a big one.