The 2026 AI Infrastructure Landscape
A benchmark of inference cost, model-routing patterns, and vendor lock-in across 380 engineering teams shipping AI features into production.
We survey operators, mine pipeline data, and publish the findings other vendors keep in internal decks. No sponsored angles, no recycled takes — every report ships with the underlying methodology.
Every issue is free to read on publication. Data tables and raw survey exports ship with the Open Access tier.
A benchmark of inference cost, model-routing patterns, and vendor lock-in across 380 engineering teams shipping AI features into production.
How 620 revenue teams structure their tooling stack, attribution models, and outbound automation — and what separates the top decile from the rest.
Live fielding now. Tracking how buying committees size, evaluate, and stall deals across 200+ B2B software categories.
The same three-stage process, every issue. No shortcuts on the data.
We survey and interview operators inside the category we're covering — not a panel vendor, not a scraped dataset.
Findings are checked against public filings, product telemetry, and a second analyst pass before anything is drafted.
Sample size, question wording, and response bias notes ship in every report. Open Access includes the raw export.
gogtmgo is an independent research publication covering go-to-market operations and AI infrastructure. We run our own surveys, interview practitioners directly, and publish full methodology alongside every finding — no sponsored placements, no vendor-commissioned angles.
The desk is operated by gogtmgo LLC, a Texas-registered company. Every report lists sample size, fielding dates, and the questions asked, so readers can judge the data on its own terms rather than take our word for it.
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