---
title: "SXSW EDU 2026: AI Takes Center Stage in Education Sessions"
date: 2026-03-05
source: The 74
source_url: https://www.the74million.org/article/sxsw-edu-cheat-sheet-26-sessions-for-2026/
tags: [sxsw-2026, ai-agents, education, innovation, panel]
summary: SXSW EDU 2026 features its largest-ever AI focus, with dozens of sessions on adaptive tutoring, algorithmic bias, AI literacy, and the future of AI-driven learning.
---

# SXSW EDU 2026: AI Takes Center Stage in Education Sessions

SXSW EDU returns to Austin March 9–12 with artificial intelligence playing a bigger role than ever. Dozens of sessions examine AI's expanding presence in classrooms, from adaptive tutoring and authentic assessment to teacher burnout, algorithmic bias, and what it means to be literate when machines can write, reason, and create.

## Notable Keynotes

- **Monica J. Sutton** — Creator of children's education series *Circle Time with Ms. Monica*
- **Dr. Laurie Santos** — Yale psychology professor and *Happiness Lab* host, appearing with Common Sense Media's Bruce Reed
- **Jennifer B. Wallace** — Bestselling author on the human need to feel valued
- **Arati Prabhakar** — Former Presidential Science Advisor, joining a panel on "moonshot" thinking and the future of AI-driven learning

## Venue Changes

The Austin Convention Center is under construction, so SXSW EDU 2026 moves to four venues around downtown Austin. A new "SXSW EDU Clubhouse" at the historic Antone's will host daily performances, keynote livestreams, and nightly social events.

## Highlighted Sessions

- **Missing Millions: Confronting the Attendance Crisis** — Data and interventions for post-COVID chronic absenteeism
- **The Honesty Gap: Why Your Kid's Test Score Lied to You** — Evidence of score inflation and accountability retreat
- **Reimagining Early Learning: Connection in a Digital Age** — Digital-age approaches to early education

## Key Takeaways

- AI is no longer a niche topic at SXSW EDU — it's woven throughout the entire program
- Sessions address both AI's promise (adaptive learning, personalization) and risks (bias, deskilling, over-reliance)
- The venue shift to multiple locations creates a more distributed, intimate conference experience
- Former Presidential Science Advisor's participation signals high-level policy interest in AI education