The AI-Ready University

Building AI capability across governance, operations, teaching and research

Turning AI Ambition into Institutional Action

As artificial intelligence moves from experimentation to institution-wide adoption, university leaders face a new challenge: building the governance, infrastructure, skills and culture needed to use AI responsibly and at scale.

Grounded in the QS AI Capability Framework and supported by Google Cloud, this four-part series brings together QS experts, Google leaders and US university perspectives. Each session explores a critical area of institutional readiness: governance, campus operations, teaching and learning, and research.

Designed for leaders shaping strategy, policy and innovation, the series offers practical insight into moving beyond isolated AI initiatives toward coordinated, institution-wide capability.

Four pillars of an AI-ready university

As artificial intelligence moves from experimentation to institution-wide adoption, universities need to build organisational capability across governance, operations, teaching and learning, and research.

Pillar 1: Governance & Human Commitment

Webinar: Governing the AI University
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Build the leadership, governance structures, policies, AI fluency and culture needed to manage risk, maintain trust and support responsible innovation.

Pillar 2: Outreach & Operational Efficiency

Webinar: The Responsive Campus: Putting AI Agents to Work

Learn how to use agents across administrative workflows and student services to improve institutional effectiveness.

Pillar 3: Teaching, Learning & Assessment

Webinar: Measuring What Matters: AI & Assessment

Explore how universities are rethinking curricula, assessment, student support and faculty development to prepare learners for an AI-enabled world.

Pillar 4: Research & Scholarship

Webinar: Accelerating Research in the Agentic Era

Understand how to responsibly use AI in scholarship and research, while maintaining integrity and reproducibility.