Insights from a survey of enterprise software teams on how they're using AI to build in the cloud
300+ enterprise developers and team managers at large enterprises told us how AI is changing the way they build and ship for the cloud.
65%create at least 2x more code since adopting AI.
32%create at least 5x more code
The acceleration
Driving an increase in output is growing adoption of fully autonomous AI agents and deployment across every stage of the software delivery lifecycle.
40%of AI-generated code never makes it to production, on average
The shipping gap
On average, developers estimated that 61% of AI-generated code is released to production. More developers estimated that they ship less than half than those who release 80% or more of AI-generated code to production.
79%give AI agents access to cloud environments
26%of those let agents into production
97%have concerns about giving AI agents cloud access
The access dilemma
AI agents now deploy, test, and debug code, so most teams give them cloud access — sometimes all the way to production. Almost everyone is worried about what that could cost them.
The State of AI in Cloud Development 2026 report explores the perspectives and behaviors of enterprise software teams tasked with deploying AI to ship high-quality applications to the cloud as rapidly as possible.
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Walk through this brief video to learn more about how enterprise software developers responded to our survey about AI agents building cloud applications.
Dimensional Research invited independent sources of development stakeholders to an online survey on AI coding tools, agentic AI, and cloud development environments.
Every respondent develops applications deployed to public cloud infrastructure, in a hands-on developer or team manager role.
Fielded online September 7–14, 2026, in English. A snapshot of how teams were working with AI and the cloud that week.
309Participants
26Questions
8,538Answers
Canada13%
87%United States
Team manager34%
66%Developer
