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AI in HE Marketing Conference 2026

Event artwork for AI in HE Marketing Conference 2026
About this event

What to expect

A one-day virtual conference on 9 December 2026 for higher education teams using AI to improve marketing, recruitment and applicant engagement.

Organised by HE Professional, the AI in HE Marketing Conference 2026 examines how prospective students are using AI to discover, question and compare universities, and how institutions can respond without sacrificing accuracy, authenticity or human connection.

The practical programme is designed for higher education professionals working across marketing, digital, student recruitment, content, CRM, communications and automation. Sessions will explore:

  • AI-mediated applicant discovery and decision-making
  • Visibility in generative search and AI-generated answers
  • Structured content that can work across websites, search and AI systems
  • Protecting institutional voice and authenticity
  • Personalised applicant journeys using AI, behavioural data and automation
  • Responsible governance, staff capability and meaningful impact measurement
  • Vibe coding for higher education marketing teams

Confirmed programme highlights

The published agenda begins at 9:30am with an opening address from Heather MacBain, Interim Deputy Director Marketing at the University of Edinburgh. Confirmed contributors also include:

  • Alex Pycock, Head of Marketing at the University of York
  • Jane Fawell, Digital Marketing Manager and AI Strategy Lead for Marketing at Northumbria University
  • Tracy Playle, CEO and Chief Content Strategist at Pickle Jar Communications
  • Mark Dorey, Assistant Director of Communications and Engagement at the University of Leeds
  • Holly Mudie, Head of Corporate Marketing at the University of East Anglia
  • Paul Napleton, Head of Digital and Marketing Automation at the University of East Anglia

The virtual format combines presentations with scheduled breaks and networking. Attendees should leave with practical ideas for building stronger workflows, improving applicant experiences and turning isolated AI experiments into repeatable marketing value.

View the conference details and register.

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