As AI evolves faster than we can learn, how must work adapt?In this MINDWORKS Mini, host Daniel Serfaty and Prof. Joseph Fuller of Harvard Business School discuss how artificial intelligence is reshaping the workplace—changing how we hire, train, and retain talent.They explore why continuous learning is essential, how AI coaching tools are catching up to human mentors, and which skills will define the workforce of the future.

<description>&lt;p&gt;As AI evolves faster than we can learn, how must work adapt?&lt;/p&gt;&lt;p&gt;In this MINDWORKS Mini, host Daniel Serfaty and Prof. Joseph Fuller of Harvard Business School discuss how artificial intelligence is reshaping the workplace—changing how we hire, train, and retain talent.&lt;/p&gt;&lt;p&gt;They explore why continuous learning is essential, how AI coaching tools are catching up to human mentors, and which skills will define the workforce of the future.&lt;br/&gt; &lt;br/&gt;&lt;br/&gt;&lt;/p&gt;</description>

As AI evolves faster than we can learn, how must work adapt? In this MINDWORKS Mini, host Daniel Serfaty and Prof. Joseph Fuller of Harvard Business School discuss how artificial intelligence is reshaping the workplace—changing how we hire, train, and retain talent. They explore why continuous learning is essential, how AI coaching tools are catching up to human mentors, and which skills will define the workforce of the future.     

Rethinking Work for the Age of AI

Prompting is out, context is in. Host Daniel Serfaty and Prof. Joseph Fuller of the Harvard Business School explore why “context engineering”—combining domain knowledge and judgment—is the next essential skill for human-AI teaming. They also discuss how organizational design, retention, and learning must evolve as technology advances faster than traditional upskilling can keep pace.

<description>&lt;p&gt;Prompting is out, context is in. &lt;/p&gt;&lt;p&gt;Host Daniel Serfaty and Prof. Joseph Fuller of the Harvard Business School explore why “context engineering”—combining domain knowledge and judgment—is the next essential skill for human-AI teaming. They also discuss how organizational design, retention, and learning must evolve as technology advances faster than traditional upskilling can keep pace.&lt;/p&gt;</description>

Prompting is out, context is in.  Host Daniel Serfaty and Prof. Joseph Fuller of the Harvard Business School explore why “context engineering”—combining domain knowledge and judgment—is the next essential skill for human-AI teaming. They also discuss how organizational design, retention, and learning must evolve as technology advances faster than traditional upskilling can keep pace. 

AI Makes Context King: New Skills, Org Design, and Learning at Work

AI is reshaping entry-level work and the path to expertise. Host Daniel Serfaty and Prof. Joseph Fuller of the Harvard Business School break down how “mastery” roles shrink as rules-based tasks automate, and “growth” roles expand as AI removes barriers to entry. Learn what this shift means for career development and the next generation of talent.

<description>&lt;p&gt;AI is reshaping entry-level work and the path to expertise. Host Daniel Serfaty and Prof. Joseph Fuller of the Harvard Business School break down how “mastery” roles shrink as rules-based tasks automate, and “growth” roles expand as AI removes barriers to entry. &lt;/p&gt;&lt;p&gt;Learn what this shift means for career development and the next generation of talent.&lt;/p&gt;</description>

AI is reshaping entry-level work and the path to expertise. Host Daniel Serfaty and Prof. Joseph Fuller of the Harvard Business School break down how “mastery” roles shrink as rules-based tasks automate, and “growth” roles expand as AI removes barriers to entry.  Learn what this shift means for career development and the next generation of talent. 

AI’s Expertise Upheaval: Mastery vs. Growth Roles

How will artificial intelligence reshape the way we work? Which jobs will evolve, which will disappear, and how can we prepare for what comes next?    In this episode of MINDWORKS, host Daniel Serfaty talks with Professor Joseph Fuller of Harvard Business School, co-director of the Managing the Future of Work project, about how AI is transforming jobs, skills, and organizations. Together, they explore what makes certain roles more vulnerable to automation, how human–AI collaboration can create new opportunities, and what leaders, policymakers, and workers can do to ensure AI amplifies human potential rather than replaces it.    Listen for insights that cut through the hype and focus on what matters most: adapting to the future of work with purpose, equity, and resilience.

<description>&lt;p&gt;How will artificial intelligence reshape the way we work? Which jobs will evolve, which will disappear, and how can we prepare for what comes next?&lt;br/&gt; &lt;br/&gt; In this episode of MINDWORKS, host Daniel Serfaty talks with Professor Joseph Fuller of Harvard Business School, co-director of the Managing the Future of Work project, about how AI is transforming jobs, skills, and organizations. Together, they explore what makes certain roles more vulnerable to automation, how human–AI collaboration can create new opportunities, and what leaders, policymakers, and workers can do to ensure AI amplifies human potential rather than replaces it.&lt;br/&gt; &lt;br/&gt; Listen for insights that cut through the hype and focus on what matters most: adapting to the future of work with purpose, equity, and resilience.&lt;/p&gt;</description>

How will artificial intelligence reshape the way we work? Which jobs will evolve, which will disappear, and how can we prepare for what comes next?    In this episode of MINDWORKS, host Daniel Serfaty talks with Professor Joseph Fuller of Harvard Business School, co-director of the Managing the Future of Work project, about how AI is transforming jobs, skills, and organizations. Together, they explore what makes certain roles more vulnerable to automation, how human–AI collaboration...

AI and the Future of Work

In this MINDWORKS Mini, Drs. Svitlana Volkova and Robert McCormack share with Daniel Serfaty how early fascinations became lifelong work in artificial intelligence. They describe how formative experiences, from math and optimization to philosophy and logic, sparked their interest and shaped their careers. This conversation highlights the power of cross-disciplinary thinking and the human perspective that continue to guide their work in building intelligent systems and advancing human–AI collaboration.

<description>&lt;p&gt;In this MINDWORKS Mini, Drs. Svitlana Volkova and Robert McCormack share with Daniel Serfaty how early fascinations became lifelong work in artificial intelligence. They describe how formative experiences, from math and optimization to philosophy and logic, sparked their interest and shaped their careers. This conversation highlights the power of cross-disciplinary thinking and the human perspective that continue to guide their work in building intelligent systems and advancing human–AI collaboration. &lt;/p&gt;</description>

In this MINDWORKS Mini, Drs. Svitlana Volkova and Robert McCormack share with Daniel Serfaty how early fascinations became lifelong work in artificial intelligence. They describe how formative experiences, from math and optimization to philosophy and logic, sparked their interest and shaped their careers. This conversation highlights the power of cross-disciplinary thinking and the human perspective that continue to guide their work in building intelligent systems and advancing human–AI colla...

BONUS: The Human Side of AI: How Two Scientists Found Their Way from Curiosity to Career

Join Aptima CEO, Daniel Serfaty, as he speaks with scientists, technologists, engineers, other practitioners, and thought leaders to explore how AI, data science, and technology is changing how humans think, learn, and work in the Age of AI.&nbsp;

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