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The State of Docs Report 2026

Overview

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State of Docs brings together insights from documentation experts from across the industry

This comprehensive report explores how teams track their docs’ success, the future of the industry, the ongoing impact of AI on documentation, and much more

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Total Respondents, with roles across multiple disciplines

of documentation professionals now use AI regularly for their work

of teams now factor AI into their information architecture decisions — up from 31% a year ago

report that AI makes their documentation work faster

cite hallucinations as their top concern about AI in documentation

of regular AI users report spending less time writing and more time editing and reviewing

of teams use AI regularly; only 44% have AI guidelines in place

of teams don't track leads from their documentation — even though half say docs matter for closing deals

name keeping docs in sync with the product as their single biggest challenge — nearly double the runner-up

Insights from our contributors

“When the information architecture is right, customers can self-serve the sales process. They find what they need, they understand the product, they make the decision — without needing a call.”

Delfina Hoxha

Little Language Models

“AI is not going to go away. We have to figure out how to coexist with it.”

Doug Purcell

Supermicro

“I think you need to know your users. AI doesn't know your users.”

Mirna Wong

dbt Labs

“You cannot directly derive intent reliably from quantitative data.”

Sarah Moir

Sigma Computing

“Don't be scared. The industry has always been in flux. Good communication is always valuable and will continue to be so.”

Diana Payton

HackMamba

“When the information architecture is right, customers can self-serve the sales process. They find what they need, they understand the product, they make the decision — without needing a call.”

Delfina Hoxha

Little Language Models

“AI is not going to go away. We have to figure out how to coexist with it.”

Doug Purcell

Supermicro

“I think you need to know your users. AI doesn't know your users.”

Mirna Wong

dbt Labs

“You cannot directly derive intent reliably from quantitative data.”

Sarah Moir

Sigma Computing

“Don't be scared. The industry has always been in flux. Good communication is always valuable and will continue to be so.”

Diana Payton

HackMamba

Jump to a section

Introduction and demographics

Purchase decisions and business impact

How does documentation influence purchase decisions, user adoption, support efficiency, and overall customer satisfaction?

Documentation team structure and process

How are documentation teams organized, who's responsible for docs, and how does team structure shape AI readiness?

Documentation and product

How do teams keep documentation in sync with the product, and where are users finding docs beyond the website?

Docs tooling

What tools and frameworks are teams using to publish and structure documentation, and how is AI influencing those choices?

Measuring docs success

How do teams measure documentation's impact, and why is there such a gap between belief in docs' value and proof of it?

AI and documentation creation

How are teams using AI to create documentation, where is it actually saving time, and what's keeping governance from catching up?

AI and documentation consumption

How are users consuming documentation through AI, and what does it take to ship AI-powered documentation features?

Docs and professional development

How is the documentation role changing, what skills matter now, and what does the career path look like in an AI-augmented profession?

Conclusion

Introduction and demographics

Purchase decisions and business impact

How does documentation influence purchase decisions, user adoption, support efficiency, and overall customer satisfaction?

Documentation team structure and process

How are documentation teams organized, who's responsible for docs, and how does team structure shape AI readiness?

Documentation and product

How do teams keep documentation in sync with the product, and where are users finding docs beyond the website?

Docs tooling

What tools and frameworks are teams using to publish and structure documentation, and how is AI influencing those choices?

Measuring docs success

How do teams measure documentation's impact, and why is there such a gap between belief in docs' value and proof of it?

AI and documentation creation

How are teams using AI to create documentation, where is it actually saving time, and what's keeping governance from catching up?

AI and documentation consumption

How are users consuming documentation through AI, and what does it take to ship AI-powered documentation features?

Docs and professional development

How is the documentation role changing, what skills matter now, and what does the career path look like in an AI-augmented profession?

Conclusion

Documentation has always mattered. In 2026, it became infrastructure.

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