Moat.
Speed.
Allocation.
The platform moat that survives 2028 is being chosen this year.
This briefing tells you which platform moats survive 2028 in B2B media and publishing as AI rewrites build economics. Read it before your R&D allocation locks for the decade.
The 10-page briefing. Worth 20 minutes.
One email. One PDF. Worth twenty minutes of your week.
We send it once. Work emails only.
Q4 review, R&D and editorial in the same room. Subscriber retention down to ninety-one percent from ninety-four. Three lost accounts cited "we can get this from ChatGPT now" in their exit notes. Your Head of Data showed the board a Perplexity Pages comparison for your top sector page last week, six of eight questions identical. Your CFO forwarded the Causaly Series C announcement at lunch. Your CEO has the leadership team on Wednesday and one item on the agenda: AI strategy on next month's board.
You are not running a publishing platform. You are running a data corpus with a publishing wrapper, and the wrapper is the part GPT replicates in eight seconds. Underneath the wrapper sits the asset that survives the next decade: your archive, your analyst-network graph, your event-intelligence corpus, and the integration depth your product has wired into your enterprise customers' Monday-morning workflow.
The article is not the product anymore. The grounded answer to the question your subscriber's CFO asked this morning is the product.
This is the question your CEO is already asking. The briefing below is what you want in your hand before the next R&D review.
Build Velocity. Product Defensibility. R&D Capital Allocation.
Three questions every B2B publishing CTO is tracking. The middle one is the crux. The other two are how you earn the right to answer it.
Is our engineering speed shipping production-grade infrastructure, or demos that fall over?
Copilot adoption at seventy percent. Cycle time flat. Ten-thousand-line PRs barely reviewed. The retrieval pipeline behind your search has the same architecture it had in 2022. You cannot replicate four years of platform foundation in eighteen months. Buy what the tool layer can carry. Own the discipline that makes the corpus ship.
What does our product do that a public LLM at near-zero cost cannot copy?
Your article layer commoditises every eighteen months when the next foundation model rolls. Your archive, your analyst-network graph, your event-intelligence corpus, and your customer-workflow integration compound. Three of your top ten enterprise accounts have run a sector-AI research pilot this year.
Is our R&D budget one instrument or two?
Plateau capital runs the CMS, the subscription stack, the event tech. Compounding capital builds the retrieval pipeline, the data-rights audit, the customer-workflow integration. On one hurdle rate the first wins every quarter. On one scorecard the second does not exist.
What you get when you download
An 11-page report for CTOs, CPOs, and CPTOs at mid-market European B2B publishing firms. Designed to be read in one sitting before your next R&D review.
Your industry, your R&D function, and why they are one problem
What is happening to mid-market B2B publishing: AI-natives summarising sector news at near-zero cost, the article layer commoditising, named subscriber losses to public LLMs. What is happening inside your R&D function: Copilot adoption up, retrieval architecture stuck in 2022, and the board AI-strategy ownership list your seat is not on. And the intersection: same force, two altitudes, one problem.
Four moves across build engine, platform and data, product thesis, and R&D bench
Instrument review depth per line and make ADRs and eval harnesses first-class infrastructure. Build the corpus underneath the article through archive structuring, source-rights renegotiation, and customer-workflow integration depth. Stand one workflow-embedded line on protected P&L. Encode senior reasoning before retention breaks.
Five questions for your next R&D review
Is your R&D budget one instrument or two, and what is the kill criterion on each? Name the AI-native research startup in your category. How many months to reconstruct schema reasoning if your three longest-tenured engineers leave? Where did the freed hours from seventy-percent Copilot adoption go? Is your Q1 boundary agreement with the CEO and Head of Data written?
Calibrated for each seat at the table.