Report · September 2026
The State of AI Coding Infrastructure in Media & Entertainment
A benchmark of 204 M&E engineering and technology leaders on how their organizations adopt AI coding tools, manage model access and cost, evaluate new models, and build governance around fast-moving developer workflows.
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Take the AI Coding Survey →- Visibility is still the central gap. 79% of organizations report partial or no visibility into AI coding usage and spend.
- Routing is happening before teams name it. 65% of respondents whose organizations automatically select models by cost, speed, or complexity do not describe the practice as task-based routing.
- Priorities vary sharply by role. Platform teams focus on maintaining quality while reducing cost, while leadership is more likely to surface evaluation, cost, and visibility concerns.
- Open-weight interest exceeds production adoption. 39% rank self-hosting among their top model-selection factors, but only 8% report extensive production use.