MIT hasn’t just prepared me for the future of work—it’s pushed me to study it. As AI systems become more capable, more of our online activity will be carried out by artificial agents. That raises big questions.

I think, at its most generous, AI tools enable us to learn from our collective actions ... What AI tools do is they take all of those solutions, those attempts—whether good or bad—and use them as training data to build models.

To me, the future of work means democracy. It’s hard to have any positive vision of work without meaningfully engaging workers. This is why I research economic democracy—worker voice is pivotal in designing good jobs.

The rise of generative AI is a real opportunity, but making the most of it will demand a new approach to decision-making, as well as a new focus on worker training, fair transitions, and effective policy.

Combinations of humans and AI work best when each party can do the thing they do better than the other.

The climate continues to change, and it’s changed pretty dramatically in the last 15 years. I don’t think we should draw too many conclusions about what’s possible.

Hope isn’t naïve optimism—the belief that some technological breakthrough will save us. It's the belief that what we do matters. That by working together, we can create a better world.

One of the gaps the MIT Climate Policy Center seeks to fill is being the connective tissue across all of these different centers to understand what the policy implications are and to understand how everything fits together.

As an entrepreneur, I think: How am I making my community better? How am I helping to create employment? I was looking for a school with a well-developed, holistic sustainability program.