AI in Your Career: Sidekick, Hero, or Villain?
Proposed session for SQLBits 2026TL; DR
Brent Ozar leads a panel discussion about how AI is reshaping data careers. Panelists share how they decide what to delegate to AI, how impacts differ by role, warning signs of over-automation, and how to intentionally cast AI as a sidekick, hero, or villain in your career.
Session Details
AI is showing up everywhere in the data world—but whether it feels like a helpful sidekick, a powerful hero, or a looming villain depends a lot on your role, your skills, and the choices you make.
In this panel discussion led by Brent Ozar, experienced data professionals share honest, real-world perspectives on how AI is changing careers for DBAs, analysts, engineers, and managers. Panelists will explain how they decide which tasks to delegate to AI, where human judgment still matters most, and how the impact of AI differs depending on seniority and responsibility. You’ll also hear how they spot early warning signs that a role is becoming overly automated—and what they do next when they see those signals.
The discussion will also look backward as well as forward, with panelists sharing what they would learn first if they were starting their careers today, knowing what they now know about AI. Throughout the session, the goal is not to predict the future, but to help you make better decisions right now.
By the end, you’ll walk away with a practical mindset for intentionally casting AI in your own career story—choosing when it should act as a sidekick, when it deserves to be the hero, and when to treat it like a villain that needs to be kept in check.
In this panel discussion led by Brent Ozar, experienced data professionals share honest, real-world perspectives on how AI is changing careers for DBAs, analysts, engineers, and managers. Panelists will explain how they decide which tasks to delegate to AI, where human judgment still matters most, and how the impact of AI differs depending on seniority and responsibility. You’ll also hear how they spot early warning signs that a role is becoming overly automated—and what they do next when they see those signals.
The discussion will also look backward as well as forward, with panelists sharing what they would learn first if they were starting their careers today, knowing what they now know about AI. Throughout the session, the goal is not to predict the future, but to help you make better decisions right now.
By the end, you’ll walk away with a practical mindset for intentionally casting AI in your own career story—choosing when it should act as a sidekick, when it deserves to be the hero, and when to treat it like a villain that needs to be kept in check.
3 things you'll get out of this session
Learn how panelists evaluate which tasks to delegate to AI
Why AI changes career paths differently for DBAs, analysts, engineers, and managers
How to spot early warning signs that your role is becoming overly automated
What panelists would learn today if they were starting their careers again
Walk away with a mindset for intentionally casting AI as a sidekick, hero, or villain in your own story
Speakers
Brent Ozar's other proposed sessions for 2026
20 Years of the Cloud: What Changed, What Didn’t, and What’s Next - 2026
Calling AI from T-SQL: Real-Life Lessons from sp_BlitzCache - 2026
Dev-Prod Demon Hunters: Finding the Real Cause of Production Slowness - 2026
Pokémon Battle, Choose Your Index: You Can’t Have Them All - 2026
The Big Red Button: How to Use sp_Kill - 2026
Watch Brent Tune a Query in SQL Server 2025 - 2026