Proof that you and your business can act on
The Revenue AI Report measures what revenue teams actually got from AI by function, and publishes what they turned off.
The problem we own
The Proof Gap
You spent money on AI and you cannot show what it changed. Not because the technology failed, but because nobody was given the time, the tools, or the permission to actually change anything. So nothing changed.
What it looks like on the way there is Optimization Theater: a year of pilots, dashboards, and time savings, reported upward as transformation.
Most AI coverage sells the promise. This one publishes the receipts.
The line for the fight
The safest thing you can do right now looks like waiting. It is not.
- /Every number carries its publisher, sample size, and field date.
- /Every failure we know about is published, including our own.
- /No sponsor sees an issue before it ships, picks a case, or buys a paragraph.
- /Every issue ends in a decision for each seat, not a takeaway to think about.
What the research shows
The Proof Gap is not an opinion. It is the pattern.
Independent research keeps landing on the same finding: the money is real, the returns are not being measured, and the failure rate is climbing. This is the gap we report on.
95%
of generative AI pilots at companies are failing to produce measurable business return, despite an estimated $30 to $40 billion in enterprise GenAI spend.
Source / MIT Project NANDA, “The GenAI Divide: State of AI in Business 2025,” July 2025. Review of 300+ publicly disclosed AI initiatives plus structured interviews.
42%
of businesses scrapped most of their AI initiatives in 2025, up from 17% the year before. Abandonment is accelerating, not slowing.
Source / S&P Global Market Intelligence, VotE: AI & Machine Learning survey, reported 2025.
30%
of generative AI projects are predicted to be abandoned after proof of concept by the end of 2025, due to poor data quality, inadequate risk controls, escalating costs, or unclear business value.
Source / Gartner press release, July 2024.
Every number above carries its publisher, its method, and its date, the same standard we hold every issue to.
The position
The only publication that measures what revenue teams actually got from AI by function, and prints what they turned off, with names.
The Revenue AI Report is the only publication treating AI-era revenue as one connected system, and the only one publishing what is failing in it. We close the Proof Gap with real cases, real numbers, and the failures nobody else prints.
The four beliefs
We will not compromise on these.
01
Receipts beat theory.
A real number from a real operator beats a thousand thought-leadership posts. Every statistic carries its publisher, its sample, and its date.
02
Revenue is a team sport.
Sales doesn't own revenue. The entire GTM org does. If your job touches the number, this newsletter is for you.
03
The problem is almost never the AI.
Bad process plus AI is faster bad process. We diagnose the system, then talk about the tools.
04
Failure is the data.
We publish what got turned off as readily as what worked, including our own misses. No sponsor sees an issue early, picks a case, or buys a paragraph.
Built for
People who own a number and are measured on AI.
- The revenue leader who wants to know what the AI SDR actually did before they buy one.
- The RevOps leader who wants the stack diagram, not the pitch deck.
- The enablement leader who wants ramp numbers, not vendor logos.
- The CMO who wants to know how attribution survives an agentic buyer.
- The founder who wants to know what their peers tried, what broke, and what they would do differently.
Where this sits
Five properties, five jobs
- The Revenue AI Report. Trust and measurement. This publication. Weekly receipts on what AI did to revenue teams, including what got turned off.
- GTM AI Academy. How-to and implementation. Where the implementation training lives, for teams who already decided to build.
- GTM AI Podcast. Weekly conversation. Long-form interviews with operators, co-hosted and separate from this publication.
- Revenue AI Job Board. Hiring. AI and GTM roles at revenue teams, curated by the publication.
- Advisory. High-ticket and human. Direct work with a small number of revenue teams. Enquiries only, never sold from these pages.