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Widespread use of AI tools could make it harder to craft effective business communications

Generative AI tools such as ChatGPT make it easier for business owners to produce polished pitches, business plans and other communications, but according to new research from The University of Manchester and Canada's University of Alberta, their widespread use could ultimately make it harder for businesses to effectively communicate with their audiences.

Widespread use of AI tools could make it harder to craft effective business communications

New research from The University of Manchester and Canada's University of Alberta suggests that the growing use of AI tools like ChatGPT for business communications may ultimately hinder rather than help companies effectively convey their messages. While these AI-powered writing aids can assist entrepreneurs in crafting polished pitches and business plans, the widespread adoption of these tools risks homogenizing business storytelling.

The study argues that as more companies rely on the same AI solutions, their communications become increasingly similar, making it harder for individual businesses to distinguish themselves in the eyes of their audiences. According to the lead author, Dr. Karl Taeuscher from The University of Manchester's Alliance Manchester Business School, AI can indeed make storytelling easier for a single business owner, but its widespread use could create a paradox where collective effective storytelling becomes more difficult.

The researchers caution that while AI can support entrepreneurs in many aspects of communication, it cannot replace the crucial understanding of cultural nuances and audience expectations needed to create truly distinctive content. They emphasize that business owners must still develop the relevant skills and expertise to navigate the evolving landscape of AI-assisted communication.

The study presents a plausible scenario rather than a definitive prediction, as both AI technology and societal norms around its use are rapidly changing.

Written by urgent.news from Phys.org's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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