"Gone are the days where UX content writers just used tools for research - these very tools are taking their jobs. One company I've previously worked with laid off all of their SEO content writers, UX writers, and content marketers in favor of using AI to write for them. They even made their managers install a separate AI annotation tool to check the output that their AI writers had generated."
"AI content shouldn't be thought of as an end-product but, rather, can be utilized to create correlations between what the business wants to relay to their end-users, the team that sends those messages, and the end-user that receives those signals. Correlation, however, is - as the saying goes - not causation; and it is most certainly not cognition. This article will cover ways to properly leverage AI-aided correlations, along with common mistakes UX writers make in doing so."
Generative AI has rapidly transformed UX content work, enabling mass-produced outputs and prompting some organizations to replace writers with AI. Fully automated AI teams lack the ability to reason, empathize, and contextualize for human end users, undermining core UX content design skills. AI-generated content often lacks proper management, collaboration, and the human connections needed to interpret user needs. AI can be used to surface correlations between business messages, teams, and users, but correlations are not causation or cognition. UX writers who combine human-centered research, testing, and judgement with AI tools will be best positioned to succeed.
Read at LogRocket Blog
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