{"id":15,"date":"2025-06-18T18:37:01","date_gmt":"2025-06-18T18:37:01","guid":{"rendered":"https:\/\/aiinstitute.hbs.edu\/associates-program\/?page_id=15"},"modified":"2026-07-16T20:23:33","modified_gmt":"2026-07-16T20:23:33","slug":"accelerate-with-ai-insights","status":"publish","type":"page","link":"https:\/\/aiinstitute.hbs.edu\/accelerate-with-ai\/accelerate-with-ai-insights\/","title":{"rendered":"Insights"},"content":{"rendered":"\n
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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\u2019s potential into performance.<\/p>\n<\/div>\n<\/div>\n\n\n\n

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A Guide to Building Change Resilience in the Age of AI<\/strong><\/strong>
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Navigating the Jagged Technological Frontier<\/strong><\/strong>
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New York Times<\/h3>\n\n\n\n
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Where Human Labor Meets Digital Labor<\/strong>
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CNBC<\/h3>\n\n\n\n
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What Harvard researchers learned about use of AI in white-collar work at top companies<\/strong>
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Harvard Business Review<\/h3>\n\n\n\n
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Your AI Strategy Needs More Than a Single Leader<\/strong>
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Agentic AI Is Already Changing the Workforce<\/strong>
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Strategy in an Era of Abundant Expertise<\/strong>
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HBR On Strategy: <\/strong>The Right Way to Launch an AI Initiative
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HBR Ideacast: <\/strong><\/strong>How Generative AI Changes Productivity
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Events:<\/h2>\n\n\n\n
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Upcoming Events:<\/h3>\n\n\n\n
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The Prompt: Emotional Manipulation by AI Companions<\/a><\/h5>\n\n\n\n

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.<\/p>\n<\/div><\/div>\n<\/div>\n\n\n\n

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Ready to move forward?<\/strong><\/strong><\/h2>\n\n\n\n

Book a 30\u2011min Briefing \u2022 Run a Pilot Worklab \u2022 Co\u2011build a Custom Solution<\/p>\n\n\n\n

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Contact Us<\/a><\/div>\n<\/div>\n<\/div>\n\n\n\n
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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\u2019s potential into […]<\/p>\n","protected":false},"author":19414,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_trash_the_other_posts":false,"rkv_hide_featured_image":false,"rkv_hide_page_title":false,"rkv_hide_abstract_shapes":true,"rkv_reduce_header":false,"hbsd3_featured_media_url":"","hbsd3_featured_media_url_autoplay":false,"editor_notices":[],"footnotes":""},"rkv-people-shadow":[],"class_list":["post-15","page","type-page","status-publish","hentry"],"yoast_head":"\nInsights - Accelerate with AI<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/aiinstitute.hbs.edu\/accelerate-with-ai\/accelerate-with-ai-insights\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Insights - Accelerate with AI\" \/>\n<meta property=\"og:description\" content=\"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. 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