The evolution of technical writing in the age of generative AI

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As we move into 2025, generative AI is poised to redefine the technical writing profession. While it brings tools that enhance productivity and expand creative possibilities, it also introduces challenges that could disrupt the industry. Below are six key areas where its impact will be felt:

Job displacement
Generative AI’s growing capability to produce high-quality, human-like content may reduce the need for human input in routine tasks, such as drafting user manuals or FAQs. As a result, entry-level and repetitive roles in technical writing could see diminished demand.

1. Devaluation of expertise
   AI-generated content that is “good enough” might overshadow the value of skilled writers. Organizations may prioritize cost-efficiency over the nuanced expertise of professional writers, potentially affecting earning potential and diminishing the role’s prestige.
2. Content homogenization
   AI models often draw from shared datasets, leading to a risk of less original and less distinctive content. Writers may find it increasingly challenging to stand out in a landscape dominated by similar AI-generated material.
3. Shift toward AI oversight
   The role of writers may shift from creators to editors and curators of AI-generated content. This demands new skills, including fact-checking, bias identification, and ensuring technical precision — areas where many professionals may need to upskill.
4. Maintaining accuracy
   Generative AI is prone to producing inaccuracies or “hallucinations,” placing the onus on writers to detect and correct these issues. This added responsibility could detract from creative content generation, making the job more about damage control than innovation.
5. Pressure to upskill
   To remain competitive, writers must adapt by learning AI-driven workflows, managing automated systems, and developing complementary skills such as data analysis and AI training. Those unable or unwilling to embrace these changes risk obsolescence.

Strategies for adaptation

While the challenges are significant, technical writers can evolve and thrive by embracing these strategies:

• Upskilling: Gain proficiency in AI tools, advanced editing techniques, and data analysis to complement traditional writing skills.
• Specialization: Focus on high-value niches such as compliance, cybersecurity, or medical documentation where expertise and precision are irreplaceable.
• Emphasizing human value: Highlight the unique human traits of empathy, cultural nuance, and storytelling — qualities that AI struggles to replicate effectively.

Generative AI doesn’t signal the end of technical writing but rather its transformation. By embracing the opportunities and addressing the challenges, writers can continue to bring unparalleled value to the industry.

Will Kelly is a writer, content strategist, and keen observer of the IT industry. Medium is home to his personal writing projects. His professional interests include generative AI, cloud computing, DevOps, and collaboration tools. He has written for startups, Fortune 1000 firms, and leading industry publications, including CIO and TechTarget. Follow him on X: @willkelly. You can also follow him on BlueSky: willkelly.bsky.social.