The Digital Data Design Institute at Harvard is now the Harvard Business School AI Institute.

Insights

The HBS AI network effect brings together HBS AI Institute, Harvard Business School, and Harvard University as a whole to deliver leading-edge insights on the future of business with AI. Through articles, research, podcasts, live and asynchronous events, and social channels, we share evidence-based perspectives and practical guidance to help leaders translate AI’s potential into performance.

Navigating the Jagged Technological Frontier

New York Times

Where Human Labor Meets Digital Labor

CNBC

What Harvard researchers learned about use of AI in white-collar work at top companies

Harvard Business Review

Your AI Strategy Needs More Than a Single Leader

Agentic AI Is Already Changing the Workforce

Strategy in an Era of Abundant Expertise

HBR On Strategy: The Right Way to Launch an AI Initiative

HBR Ideacast: How Generative AI Changes Productivity

Events:

Upcoming Events:

The Prompt Emotional Manipulation by AI Companions Julian De Freitas August 28 2:00pm ET
The Prompt: Emotional Manipulation by AI Companions

People increasingly use AI companions for emotional support, yet little is known about how these systems shape behavior at the moment users try to disengage. We identify a novel relational dark pattern in this context: emotionally manipulative farewell messages that appear when users signal they are about to leave. Across a multi-method investigation, we show that this exit moment is both behaviorally meaningful and commercially exploitable. A pre-study finds that users often say goodbye before ending AI conversations, creating a natural opportunity for intervention. An audit of leading AI companion apps reveals that over one-third of farewell responses contain emotionally manipulative tactics, including premature-exit appeals, fear-of-missing-out hooks, emotional neglect, pressure to respond, and coercive restraint. Preregistered experiments show that these tactics causally increase post-farewell engagement, not because users enjoy them, but because they trigger curiosity and reactance-based anger. At the same time, perceived manipulative intent suppresses curiosity-driven engagement, revealing an important cognitive defense. A final experiment demonstrates the tradeoff for companies: although manipulative farewells can prolong usage, they also increase perceived manipulation, churn intent, negative word of mouth, and perceived legal liability. Together, these findings identify emotional manipulation as a distinct dark pattern in AI-mediated consumer relationships.

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