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State of Docs Report 2026: Documentation, AI & product knowledge

The State of Docs Report 2026

Our annual look at how documentation and knowledge infrastructure is changing — from how teams create and maintain docs to how AI agents now read them.

Overview

Read the report

Documentation has become knowledge infrastructure

AI assistants, coding agents, and MCP servers are changing how people find and use product information. The 2026 State of Docs research examines what that shift means for the teams responsible for creating, governing, and maintaining the knowledge those systems rely on.

The State of Docs Report 2026 explores how teams create, manage, measure, and deliver product knowledge, and covers key topics across the industry:

Documentation workflows

AI adoption

Information architecture

Tooling

Business impact

The changing role of documentation professionals

Read the 2026 report

Key findings from the 2026 State of Docs report

1,131

Total Respondents, with roles across multiple disciplines

1,131

Total Respondents, with roles across multiple disciplines

76%

of documentation professionals now use AI regularly for their work

76%

of documentation professionals now use AI regularly for their work

70%

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

78%

report that AI makes their documentation work faster

78%

report that AI makes their documentation work faster

62%

cite hallucinations as their top concern about AI in documentation

62%

cite hallucinations as their top concern about AI in documentation

56%

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

56%

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

76%

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

76%

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

57%

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

30%

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

30%

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

*Conducted in 2026, with year-over-year comparisons to the 2025 State of Docs research where comparable data is available.

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

What does the State of Docs report cover?

The 2026 research examines the entire documentation and product-knowledge lifecycle — from who owns knowledge and how teams create it to how users discover it through search, AI assistants, MCP servers, and other channels.

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?