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AI in Career Education: What's Working, What's Missing, and What's Next
Date: June 11 2026, Thursday
Time: 4:00 PM CEST
Location: Online
What does a career curriculum from a leading business school actually need to teach about AI — and how do you build one that doesn't expire in twelve months?
It's the question most career services teams are circling right now. There's a difference between running an AI workshop and building a curriculum that actually prepares students for what's coming.The students in those sessions today will be interviewing in summer 2027. Companies already piloted AI literacy assessments in hiring. By then, employers may be evaluating AI capability in ways the current curriculum doesn't touch at all. And students are expecting the most up-to-date AI career trainings.
In this session, our very own Head of Careers and host Albert Segura, sits down with Natalya Shustova — AI Skills Trainer, founder of The Discerning Mind, former Adjunct Professor of Career Management & Designing Your Life and Career Education Lead for the International MBA & Master's Programs at IE Business School, and currently Career Coach at London Business School — to explore what thoughtful, future-proof AI curriculum design actually looks like. Natalya recently delivered AI literacy training for career services professionals together with Dan Kiernan at the CSEA EMEA 2026 annual conference in Amsterdam, and this session goes deeper into the 2.0 curriculum questions she's been working through with business schools firsthand.
Together, they will discuss:
→ What sessions career services curricula are actually missing on AI — and why most schools haven't designed them yet
→ Why starting from use cases is the wrong move — and why identifying the problem your institution actually needs to solve (scalability? engagement? personalization?) changes everything
→ What students genuinely need to understand about AI to use it effectively in job search — beyond prompts: AI bias, context quality, critical evaluation of outputs, and how to map processes for automation
→ What employers are beginning to assess for AI literacy — and how to prepare students for interview formats that will look very different by summer 2027
→ What a thinking framework for AI looks like versus a tool list — and why the difference determines whether your curriculum ages well or expires in a year
Bonus: How career services teams can use AI in their own operations — a follow-up to Natalya's session with Dan Kiernan at the CSEA EMEA 2026 conference in Amsterdam, going deeper on what's changed and what's next.
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