Technical writers

Edit material prepared by other writers or staff

AI-powered editing tools can now check grammar, style consistency, technical accuracy, and adherence to style guides at near-human levels. They can restructure unclear passages and suggest improvements, requiring only light human review for final approval, similar to how AI handles copyediting tasks.

BLS evidence: Technical writers edit material prepared by other writers or staff, as listed in the Duties section.

Manage consistency of technical content across departments and platforms

AI excels at identifying inconsistencies across large document sets, enforcing style guides, and flagging terminology variations. Modern systems can automatically harmonize content across platforms and maintain version control, significantly reducing the manual labor required for consistency management.

BLS evidence: Technical writers are responsible for managing the consistency of technical content and its use across departments, and standardize content across platforms and media.

Write and revise instruction manuals, how-to guides, and supporting documentation

AI can now generate clear, structured technical documentation from product specs and existing materials with minimal human input. LLMs excel at translating technical information into user-friendly language and maintaining consistent formatting, though human review for accuracy and brand voice remains valuable.

BLS evidence: Technical writers prepare instruction manuals, how-to guides, journal articles, and other supporting documents to communicate complex and technical information more easily.

Incorporate graphics, animations, illustrations, or photographs into documentation

AI tools can now generate diagrams, select appropriate stock images, and integrate visual elements into documentation based on text descriptions. Modern multimodal AI can create illustrations and suggest optimal placement, though final aesthetic judgment often benefits from human oversight.

BLS evidence: Technical writers incorporate animation, graphs, illustrations, or photographs to increase users' understanding of the material.

Collect user feedback to update and improve content

AI can aggregate and analyze user feedback from multiple channels, identify common pain points, and suggest content updates. However, prioritizing changes, understanding nuanced complaints, and deciding what feedback to act on still benefits from human judgment and strategic thinking.

BLS evidence: Technical writers collect user feedback to update and improve content, as listed in the Duties section.

Select appropriate medium for message or audience

AI can analyze audience characteristics and recommend formats (PDF, web, video, interactive), but selecting the optimal medium involves understanding organizational constraints, budget, maintenance capabilities, and strategic priorities that require human contextual knowledge.

BLS evidence: Technical writers select appropriate medium, such as manuals or videos, for message or audience, and use interactive technologies of the Web and social media.

Determine the needs of users of technical documentation

AI can analyze user data, support tickets, and usage patterns to identify documentation gaps, but determining nuanced user needs still requires human judgment about context, unstated requirements, and stakeholder interviews that AI cannot fully conduct autonomously.

BLS evidence: Technical writers typically determine the needs of users of technical documentation, as listed in the Duties section.

Study product samples and consult with product designers and developers

While AI can process product specifications and technical documents, the consultation aspect requires real-time dialogue with designers and developers, asking clarifying questions, and building working relationships that current AI cannot replicate without heavy human mediation.

BLS evidence: Technical writers study product samples and talk with product designers and developers, and must understand and discuss complex information with people of diverse occupational backgrounds.

Work with technical staff to make products and instructions easier to use

This collaborative task requires ongoing dialogue with technical teams, negotiating design changes, and influencing product decisions through interpersonal relationships and organizational navigation that AI cannot perform. AI can suggest improvements but cannot drive cross-functional collaboration.

BLS evidence: Technical writers work with technical staff to make products and instructions easier to use, and may serve on teams that conduct usability studies to improve product design.