AI in Practice Survey
We're excited to announce our AI in Practice survey where we sought to map where adoption is happening, where the gaps are, and how teams are hardening and scaling AI in practice. Here's what we found.
Why We Built This Survey: A Market Map for Builders Building for Builders
AI infrastructure is moving faster than any of us can track. Every week brings a new agent framework, evaluation suite, orchestration layer, or open-source model. But the question that matters for founders is simple:
What are teams actually adopting in production — and where are the white spaces no one has solved yet?
To answer that, we went straight to the builders.
Not the people posting demos, not the vendors pitching abstractions — the practitioners responsible for shipping AI into real systems at startups, SMBs, and enterprises.
We surveyed 413 senior technical builders across company sizes, sectors, and geographies to understand how organizations are actually adopting AI components and what they’re trying next.
To make this most actionable for our founders, we wanted to provide the results in an interactive dataset which you can use to pressure-test GTM strategy, refine ICP hypotheses, and identify segments that are over-served, under-served, or completely unserved.
The result is a diagnostic to address:
- Which technologies are actually being adopted (vs. talked about); this matters for founders deciding whether to compete head-on, differentiate, or pivot.
- How adoption differs across company scale. Techniques may not be relevant for a 15-person startup versus a 5,000-person enterprise — and vice versa.
- How adoption differs across sectors. Each has different failure modes, compliance constraints, and LLM tolerance.
- Where teams are investing ahead of the market. Builders experimenting with RLFT, synthetic data, or MCPs often point toward where the stack is going, not where it is.
- Where the gaps are,because massive adoption + massive pain = a founder opportunity.
We’ve shared our core findings here, and we invite founders to explore their own questions and gather specific results.
