Sahiba Chopra

I’m a PhD candidate in the Management of Organizations (Macro) group at UC Berkeley Haas School of Business.

I study how new technologies change work and organizations, especially when they move from being exciting tools to becoming part of how work actually gets done.

Right now, I am focused on generative AI. I am interested in how AI changes productivity, workflows, evaluation, expertise, and organizational design. I care about the practical questions organizations are facing: when AI helps people do better work, when it creates new kinds of work, how firms should structure knowledge so AI systems can use it, and how managers should govern AI-assisted or AI-executed work.

At the same time, I do not think technology adoption is ever just a technical problem. The same tool can have very different effects depending on how it is introduced, who uses it, what work it is applied to, and how organizations evaluate its outputs. That is what makes this moment so interesting: generative AI is not just changing individual productivity; it is pushing organizations to rethink roles, workflows, accountability, and the infrastructure of knowledge work.

Some of the questions that motivate my research are:

How is AI changing collaboration and coordination at work?
How do organizations build the infrastructure needed to use AI at scale?
What should be transparent when AI is involved in work?
Who benefits from new technologies, and who gets left out?

Across these questions, my research examines how organizations adopt, adapt to, and are changed by new technologies. You can read more about my current projects on my Research page.

I am on the 2026–2027 academic job market.