At the same time, practitioners are already looking beyond basic writing assistance. Many respondents want AI to support metadata tagging, content classification, terminology management, content structuring, and the generation of examples or walkthroughs. This signals an emerging shift toward AI-supported content operations, where AI helps scale documentation systems rather than simply accelerating writing tasks.

However, the survey also highlights persistent structural challenges in the documentation field. Teams continue to struggle with keeping documentation up to date with product changes, managing heavy workloads, maintaining legacy content, navigating fragmented tooling, and building effective content operations frameworks.

As a result, the long-term impact of AI on documentation will likely depend less on the availability of new tools and more on how well AI is integrated into documentation workflows, governance models, and content operations practices.