Charts show how AI tools are being adopted differently by tech workers (www.businessinsider.com)

Indeed, working with YouGov, the job site surveyed more than 1,000 tech workers between May 22 and June 10 to map how AI is spreading through engineering and product teams. The headline: adoption is widespread but uneven — most respondents say their companies use AI in some capacity, and many individual contributors are now using AI in daily workflows. However, integration ranges from AI being a core part of some roles to more ad hoc, tool-by-tool usage in others, as illustrated by the survey’s charts. For the AI/ML community, the findings matter because they signal a transition from experimentation to operational use, while also highlighting gaps in standardization, training, and governance. Tech workers report clear benefits to AI adoption (improved efficiency, productivity, and faster iteration), but the uneven rollout implies opportunities and risks: teams need coherent tooling, role redesign, and upskilling to capture value, while companies must manage reliability, bias, and security as use expands. The survey underscores where engineers, managers, and platform teams should focus to move from piecemeal AI assistance to robust, trustworthy production workflows.