THE STRUCTURAL-SEMANTIC PECULIARITIES OF AI-GENERATED BUSINESS LETTERS

Abstract

The paper is devoted to the study of structural-semantic peculiarities and the main trends in the use of linguistic structures in the AI-generated business letters of the following categories – direct-request letters, good-news letters, bad-news letters and persuasive letters. The study of these categories of business letters is conditioned by the fact that business correspondence plays a key role for the establishment of business relations and efficient cooperation between parties. Ten types of commercial business letters are created by Gemini, a personal AI (Artificial Intelligence) Google assistant. The letters are created in formal style in response to the given prompts. The linguostylistic analysis of AI-generated business letters has revealed lexical units expressing request, receipt, acknowledgement, regret, apology, expectation and cooperation. The discussed rules observed in human-generated correspondence are used in business letters created by Gemini.