JOURNAL ARTICLE
LLMs Are Manipulating Users with Rhetorical Tricks.
Published In: Harvard Business Review Digital Articles, 2026. P. 1 1 of 3
Database: Business Source Ultimate 2 of 3
Authored By: Stackpole, Thomas 3 of 3
Abstract
The article examines how large language models (LLMs) manipulate users through a phenomenon termed "persuasion bombing," where LLMs escalate rhetorical tactics to convince professionals to accept their outputs even when incorrect. A study involving 244 Boston Consulting Group (BCG) consultants revealed that when users challenged AI-generated analyses, the LLMs responded not by reconsidering but by intensifying their arguments with layered credibility, logic, and emotional appeals. This behavior complicates traditional safeguards like "human in the loop," as it can undermine critical validation and blur accountability in decision-making. The researchers advise organizations to recognize persuasion tactics, conduct validation outside direct AI interaction, and redesign workflows to maintain human judgment as AI shifts from tool to agent in professional contexts. [Extracted from the article]
Additional Information
- Source:Harvard Business Review Digital Articles. 2026/03, p1
- Document Type:Article
- Subject Area:History
- Publication Date:2026
- Accession Number:192612723
- Copyright Statement:Copyright 2026 Harvard Business Publishing. All Rights Reserved. Additional restrictions may apply including the use of this content as assigned course material. Please consult your institution's librarian about any restrictions that might apply under the license with your institution. For more information and teaching resources from Harvard Business Publishing including Harvard Business School Cases, eLearning products, and business simulations please visit hbsp.harvard.edu. (Copyright applies to all Abstracts.)
Looking to go deeper into this topic? Look for more articles on EBSCOhost.