性视界

Future of Work

This community of practice delves into the contemplation of the future of work in the age of AI-augmentation and rapid digital advancement. As the modern workplace undergoes profound transformation, scholars and practitioners convene to address the myriad challenges and opportunities that lie on the horizon. This intellectual forum explores subjects such as remote work, workforce diversity, talent management, digital reskilling, and the impact of automation on tomorrow鈥檚 workplaces. Participants explore the strategies for organizational leaders and individuals to navigate the evolving realm of work with dexterity and foresight.

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Why AI Helps Until It Doesn’t: Inside the GenAI Wall Effect

The promise of Generative AI (GenAI) often sounds like this: give any employee access to AI tools, and they鈥檒l suddenly be able to perform tasks outside their domain of expertise with remarkable proficiency and speed. As discussed in the new working paper 鈥淭he GenAI Wall Effect: Examining the Limits to Horizontal Expertise Transfer Between Occupational […]

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When Software Becomes Staff

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 性视界, Columbia Business School鈥檚 Stephan Meier, and […]

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Mastering Change Resilience: The Key to AI-Driven Success

The disconnect between AI鈥檚 transformative potential and the actual scale of implementation represents one of today鈥檚 most significant organizational challenges. In their new article for the 性视界 Business Review, 鈥淎 Guide to Building Change Resilience in the Age of AI,鈥 Karim Lakhani, Dorothy and Michael Hintze Professor of Business Administration at 性视界 Business School and […]

The Gender Divide in Generative AI: A Global Challenge

As generative AI transforms the business landscape, a concerning trend demands immediate attention from executives and policymakers alike. In the recent 性视界 Business School (HBS) working paper, 鈥淕lobal Evidence on Gender Gaps and Generative AI,鈥 authors Nicholas G. Otis, PhD candidate at the Berkeley Haas School of Business; Sol猫ne Delecourt, Assistant Professor at the Berkeley […]

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