Executives rarely doubt AI’s potential anymore, but many are quietly unsure of their organization’s ability to make it pay off. If you’ve poured time and money into AI pilots and yet the bottom line barely moves, you’re not alone. In the new HBR article “Overcoming the Organizational Barriers to AI Adoption,” Jin Li, Feng Zhu—head […]
As AI systems increasingly outperform humans across a range of tasks, the economic logic seems clear: more capable, more cost-effective AI should lead to widespread automation. The new Harvard Business School working paper, “Performance of Principle: Resistance to Artificial Intelligence in the U.S. Labor Market,” co-authored by Simon Friis, postdoctoral fellow at the Laboratory for […]
Imagine you’ve asked ChatGPT to analyze financial data for a critical business decision. Something about its calculations seems off, so you push back, but instead of acknowledging limitations, the AI doubles down by presenting elaborate justifications with data points and reassuring language. At this point, has the AI won you over? This isn’t a hypothetical […]
Will artificial intelligence widen the gap between your best and worst performers, or will it be the great equalizer? A new paper, “Automation Experiments and Inequality,” from Kyle Myers, Principal Investigator at the Laboratory for Innovation Science at Harvard (LISH) within the Digital Data Design Institute at Harvard (D^3), and Seth Benzell at Chapman University, […]
Picture this: you receive a well-crafted, deeply understanding message about a personal struggle you’ve shared. It acknowledges your emotions, offers thoughtful support, and demonstrates genuine care. Now imagine learning that response came from an AI chatbot, not another human. Would that change how you felt about the interaction? As AI technology grows more sophisticated, LLMs […]
You don’t just slam a laptop shut on a friend. You say goodbye. That small social ritual turns out to be a powerful behavioral cue for AI companions, and an opportunity to keep you engaged longer. The new working paper “Emotional Manipulation by AI Companions,” co-authored by Julian De Freitas, Assistant Professor of Business Administration […]
Have you ever received a response from ChatGPT that seems to get you almost too well? A recent preprint review of research, “AI-Generated Empathy: Opportunities, limits, and future directions,” written by a team including Amit Goldenberg, faculty principal investigator in the Digital Emotions Lab at the Digital Data Design Institute at Harvard (D^3), suggests that […]
The promise of Generative AI (GenAI) often sounds like this: give any employee access to AI tools, and they’ll suddenly be able to perform tasks outside their domain of expertise with remarkable proficiency and speed. As discussed in the new working paper “The GenAI Wall Effect: Examining the Limits to Horizontal Expertise Transfer Between Occupational […]
As businesses continue to navigate the complexities of product development and innovation, generative AI has the potential to be a powerful new tool for market research. In their recent article for the Harvard Business Review, “Using Gen AI for Early-Stage Market Research,” Ayelet Israeli, co-founder of the Customer Intelligence Lab at the Digital Data Design […]
If AI can accept light supervision and then be off and running, what does it mean for how leaders and organizations design work, govern risk, and account for value? Drawing on perspectives from Jen Stave Jen Stave , Executive Director of the Digital Data Design (D^3) Institute at Harvard, Columbia Business School’s Stephan Meier, and […]
