HeyJaredData to Decision Activation
You've spent millions on data and AI. Why aren't decisions getting better? Frameworks for marketing, data, and AI leaders on the decision layer from a 3x founder, Growth systems and CDP pioneer.
- Indexed issues, last 90 days
- 5
- Latest publication
- Sep 27, 2026
- Audience
- Checking…
- Earliest in this view
- Jul 26, 2026
Latest issues
Ownership isn’t building it yourself (opens the original)
Read excerpt
Being an enterprise buyer might be the hardest job in tech right now.If you’re a CIO, CDO, CMO or CFO at a large company, your inbox is a queue of AI pitches. Every platform you already pay for is selling you some version of a control plane: context layer, decisioning engine, agent platform, harness, control tower. Different words, same ask. Put your intelligence here.Some of it is real. A lot of it isn’t. Gartner calls the worst of it “agent wash
AI Marketing Doesn’t Work (opens the original)
Read excerpt
Marketing has never had more AI. Name one tool in your stack without it. Name one person on your team not working on it.And I’ve never seen growth teams this tired.I’ve spent twenty years on growth with data and AI, and I’m bullish on both. AI made marketing better at doing things. Content velocity up, cost down, campaigns live in hours. That part worked.It has not made marketing better at knowing what to do. To be clear, what doesn’t work is AI marketing without memory, context and a learning l
The Advertising Paradox: A 2H 2026 Primer (opens the original)
Read excerpt
I’ve spent over a decade building, operating and writing in MAD tech (marketing, advertising, and data), and I’ve never seen numbers this strange.US digital ad revenue: $294.6 billion in 2025, up 13.9%. Programmatic up 20.5% to $162.4 billion. Commerce media at $63.4 billion. The largest U.S. digital ad market on record.At the same time: MediaMath’s assets sold out of bankruptcy for about $22 million, Oracle exited advertising at roughly $300 million a year, and this year Microsoft <a href="http
You Can’t Build an Enterprise Brain. Start With Your Audience. (opens the original)
Read excerpt
Part 2 of The Compounding Company BrainPart 1 argued that AI-readiness can’t show ROI because readiness has no unit of value. This part is the alternative: one decision loop that pays.Almost every enterprise AI program I see eventually arrives at the same ambition: build an enterprise brain. It's the classic holding-a-hammer-looking-for-a-nail problem.That is exactly where the trouble starts.Not because the ambition is wrong. Because an enterpr
Nobody can tell you when “AI-Ready” Is Done (opens the original)
Read excerpt
Part 1 of The Compounding Company Brain, a three-part series on why AI-readiness programs struggle to show ROI, and what to build instead.Every conversation now starts with the same two letters. #AIBoard meetings. Earnings calls. Vendor pitches. The standup that was supposed to be about something else. AI, and then a version of the same question: is our data ready, is our company ready, are our workflows ready.Nobody argues with the question. It sounds like the responsible thing to ask.The troub
Publishing over time
Last 90 days. Choose a month to open its work.
Recurring subjects
Named in the text we hold. One piece can cover several.
Audience
No verified audience measurement yet.
About this data
Counts cover the work we have indexed. Tone needs enough text and a confident classification. Excerpts and episode notes are not full articles or transcripts.
Identity or attribution wrong? Suggest a correction.