A research brand for the people who actually have to ship AI inside enterprises. We publish what we wish someone had written for us when we were doing the same job. No hype. No hot takes. Numbers we can stand behind.
What we publish
Every surface here has to carry something a CIO, CoE head, or innovation lead can use the week they read it. If a piece doesn’t pass that test, it doesn’t go out.
A weekly brief that lands every Tuesday at 7:30 AM. Eight hundred words on what actually moved in enterprise AI, with the survey data or teardown to back it up.
Quarterly flagship reports on enterprise AI in production. Our methodology is in the appendix. Our raw data is downloadable. Sponsors fund distribution; they don’t shape the findings.
Invite-only sessions of fifteen practitioners. Chatham House rules. One vendor underwrites the room. Everyone else is a peer at the table.
Biweekly conversations with the people actually shipping AI inside large companies. Forty minutes per episode. No mid-roll ad reads cutting into the answer.
A premium print magazine for our paid subscribers. Sixty-four pages of long-form research, every quarter, mailed to your office. Think of it as the part of the year that earns a coffee table.
Why this exists
In a survey we ran last quarter, 87% of AI leaders told us they can’t close the gap between pilot and production. If you’re one of the people who has to close it, you probably already know the existing research wasn’t written for you. That’s the gap we’re filling.
Every number you read in our work is sourced. Every claim is testable. When the data is too thin to draw a conclusion, we say so out loud rather than dressing it up.
The people accountable for shipping AI systems are the audience. If a paragraph wouldn’t survive a Monday morning standup, it doesn’t make it into the brief.
Sponsors fund our distribution. They don’t shape what we cover. Once a quarter we publish exactly who paid us and what they paid for. The Morning Edition itself stays free for readers.
Latest issue
Issue 9 · 14 July 2026
The second AI feature inherits a trained team, a working stack, and an approved vendor, and still ships slower than the first. Three patterns explain it: infrastructure bought on a project budget, an approval path walked rather than paved, and builders who became operators.
Read Issue 9Also recent · what's coming
Issue 8 · 7 July
Build versus buy, asked again at Month 12. 14 of 120 programme owners replaced their primary AI vendor after production. Three signals a change is overdue.
Read Issue 8Issue 7 · 30 June
Why accuracy as a production KPI predicts nothing useful, and the three numbers consistent shippers track weekly: intervention rate, adoption decay, and cost-per-outcome.
Read Issue 7Coming next Tuesday
Why "our data is not ready" is the most common reason stalled programmes give, what data readiness actually meant for the cohort's shippers, and the minimum data work production really required, set against the maximum the readiness committee asked for.
Deep reads
Longer-form pieces that go deeper than the Tuesday morning newsletter. Free to read. Free to share.
Editorial · July 2026 · 10 min read
Vikram-1 was privately built, but its success belongs to a much larger India. How two ISRO engineers, the 2020 reforms and eight years of patient capital carried the country into the private orbital age.
Read the editorialEditorial · June 2026 · 15 min read
How a Friday-evening Commerce Department letter ended the era of open AI — and why the fracture lines now running through frontier technology will define the next decade of global power.
Read the editorialFlagship · June 2026 · 12 min read + 42-page report
GDP cannot see the AI economy. Seven national AI capital accounts, one score, and a conversion ratio that separates the nations that own AI assets from the nations that monetize them. India is the first full case study.
Read the reportBriefing · June 2026 · 9 min read
A $99B market becoming a $500B+ one. A 1,210% surge in AI-enabled fraud. Three nation-states quietly building the infrastructure that will decide who runs financial AI for the next decade.
Read the briefingSignals
Animated data films — each one a single insight, visualised. Sixty seconds. No commentary. The numbers do the talking.
From the Perceptron in 1958 to 5 trillion-parameter models in 2026. Every major lab. Every AI Winter. The full 80-year arc — in 67 seconds.
More Signals dropping soonSubscribe
It’s free. About five minutes to read. One-click unsubscribe whenever you’re done. A new issue lands every Tuesday at 7:30 AM IST.
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Founder
A publication is only as honest as the person doing the writing. Here’s who that is at Inference.
Founder & Editor
I started Inference because the research I wanted to read about enterprise AI didn’t actually exist. Plenty of vendor blogs. Plenty of analyst reports priced for boards, not operators. But not much in between for the people who own the actual production roadmap.
Before this, [edit: your prior role and one specific thing you did there]. I write every word of the Morning Edition myself. If a brief sounds like it came out of a content factory, it didn’t come from us.
Connect on LinkedInFor sponsors
Our readers are CIOs, CoE heads, and innovation leaders at the companies actually deploying AI inside large enterprises. If your product solves something on their plate this quarter, sponsorship slots in the Morning Edition open from May 2026. Private roundtables and flagship research follow in the second half of the year. Drop me a line and we’ll send you the rate card.
Email aditya.patro@theinferencemedia.com