I don't want to read what you didn't write

You will soon need to identify if content is AI-written or human-written to trust it.

Many professionals are increasingly using AI to generate extensive written content, including design proposals, business plans, documentation, and meeting summaries. However, the author finds this AI-generated writing to be unreadable, impersonal, and lacking context. The author's frustration stems from receiving AI-generated summaries of their own comments and pull requests that lack the necessary "why" and value. This trend is supported by survey data indicating that a significant majority of developers stop reading and avoid authors whose content they suspect is AI-assisted or AI-authored. The author contrasts this with their own positive experience using AI as a writing assistant for an academic paper, where AI helped with tasks like verifying information against source code, checking grammar, and formatting citations, but did not generate original content. The abstract of the paper was the only part entirely AI-generated and left unchanged. The author notes that AI writing quality may have plateaued due to the difficulty in providing clear, verifiable outputs and the lack of empathy or human lived experience in AI models. Efforts like ASD-STE100 Simplified Technical English and AI detection tools like Pangram are emerging to address the issues of AI-generated text quality and authenticity.

The widespread adoption of AI for content generation is creating a significant disconnect between creators and audiences, as readers find AI-produced text difficult to engage with due to its lack of context and human perspective. This suggests a potential market demand for tools that can authenticate human authorship or ensure a certain standard of readability in AI-assisted content. Companies relying heavily on AI for client-facing communication may need to re-evaluate their strategies to avoid alienating their audience, as trust and authenticity are paramount in building relationships.

Emerging solutions like ASD-STE100 for simplified technical English and AI detection models like Pangram indicate a developing industry effort to combat the perceived degradation of writing quality and authenticity. This signals a future where clear, human-centric communication may become a competitive differentiator, potentially influencing how businesses approach content creation and internal/external communications in the coming years.