Jean Yves Bouguet Interview

What first got you interested in pursuing a PhD?
 

I came to the United States from France in 1993 planning to complete only a one-year master’s degree at Caltech. I did not intend to pursue a PhD because I didn’t really understand what a PhD was at the time. It was not a common or well-known path in France. Everything changed when I met Pietro Perona, a young professor starting a new research lab in computer vision. We met by chance, became friendly, even went camping together, and he invited me to attend a computer vision conference. Soon after, he asked if I wanted to join his lab. I said yes without fully knowing what I was committing to. I learned the field from scratch, fell in love with the idea of making machines see, and that became my PhD.
 

How do you think AI will impact future jobs and younger generations?
 

I believe we are living through a technological shift larger than the industrial revolution. AI will displace problem types more than it displaces people directly. Routine technical tasks will increasingly be handled by machines. The valuable human skills will be system design, strategy, problem framing, and higher-level thinking. Writing code itself will matter less than designing the system the code serves. Fields tied to the physical world — robotics, energy, space, materials — will remain deeply human-driven for a long time. This transition will be massive, and younger generations must adapt by focusing on enduring problem domains and high-level design thinking.
 

What career decisions changed your trajectory the most?
 

First, deciding to leave France and study in the United States. That alone changed everything. Second, meeting Pietro Perona and entering computer vision research. Without that chance encounter, I would not be in AI today. Third, joining Intel after my PhD. There, I helped launch OpenCV, an open-source computer vision library. At the time, I did not realize its impact, but it connected me to a global research community and opened countless opportunities. My biggest life lesson from all of this is to favor people over shiny projects. Work with people you respect and enjoy. Fields rise and fall. People shape your path.
 

If you could redo your path as a student today, would you change anything?
 

I would not change a single thing in my own path. It fit the time and circumstances I lived in. However, I would give different advice to students today, because the world they face is very different from the 80s and 90s. The principles remain the same, but the environment has changed.
 

What advice would you give students today?
 

First, do something you genuinely love. Do not compromise on that. Second, do not over-index on coding. Learn enough to pass interviews, but understand that the future value lies in designing systems, not writing beautiful code. Third, choose domains that will last — robotics, materials, energy, space, or fields that address human needs like mental health. Above all, do not prioritize money over happiness. I have walked away from high-paying roles multiple times, and I have never regretted it.
 

Is there a guiding principle that shaped your career most?
 

Favor people over everything else. Technologies change. Fields go in and out of fashion. What stays with you are relationships. Opportunities come from people. Fulfillment comes from people. In the end, no one remembers your code. They remember how you made them feel.