Panel What Do We Still Need to Learn?

If AI can handle the code, the writing, the routine data processing, and complete automation frameworks with agents, what exactly are we supposed to be learning? This panel brings together the Python community for an honest and likely heated conversation about the skills that actually provide a human edge in an automated world. We are moving past the hype to look at the hard realities of 2026:

The Educational Pivot: When the doing is automated, does technical mastery still matter? A developer and Data Science education expert debates whether we still need to learn the how, or whether the focus should shift entirely to the why. The Global Reality: A consultant's view on how AI is transforming non-technical industries. It is no longer just about code; AI is reshaping the very tasks that define professional roles across the board. And how do you spot real talent in a world of AI-assisted portfolios? The Future Framework: The Head of an AI Academy asks: how do we upskill an entire workforce when the tools are changing faster than any curriculum can be written? And which future skills matter most, beyond AI skills themselves?

No consensus guaranteed. These are the very questions we all need to answer, right now.