A Framework for Artificial Intelligence in Business Education: July 2026 Update

Inspire Higher Ed has partnered with AACSB, the Graduate Business Curriculum Roundtable (the Roundtable), and the Graduate Management Admission Council (GMAC) to systematically document and share how business schools are integrating artificial intelligence across teaching, learning, research, and operations. This collaboration highlights institutional exemplars and effective practices while providing academic leaders and educators with a framework to guide their own AI journeys.

Since the inaugural edition of this framework in July 2025, which featured 26 participating institutions, the pool of schools expanded to 48 institutions in January 2026 and now includes 84 business schools in the July 2026 edition. This growth reflects not only increasing participation but also the accelerating pace at which business schools are embedding AI into their missions, strategies, and educational models.

From Experimentation to Institutional Integration

In just six months, the community of schools highlighted in this report has grown 75 percent, but the more significant change is the evolution in institutional practice. The examples featured in this edition illustrate a clear shift from early experimentation toward more mature, strategic, and institutionwide implementation.

Key developments include:

• From infrastructure to governance: Schools are pairing AI platforms with governance frameworks, policies, and oversight to support responsible AI use across teaching, student services, and institutional operations.
• From AI awareness to AI literacy: AI literacy is increasingly viewed as a foundational competency, with schools shifting their attention from whether to require it to how to embed meaningful AI capabilities throughout the curriculum.
• From technology adoption to strategic partnerships: Institutions are moving beyond individual AI tools toward sustained collaborations with technology providers, employers, and peer institutions to build long-term organizational capability.
• From teaching ethics to embedding responsible AI: Responsible AI is becoming part of institutional infrastructure through dedicated centers, governance structures, and integrated approaches that extend beyond standalone ethics instruction.

Overall, these developments demonstrate that AI is becoming embedded not only within classrooms but also across governance, operations, student support, and institutional strategy.

8 Themes Defining Effective AI Integration

Analysis of participating institutions continues to be organized around eight converging themes that characterize effective, responsible, and scalable AI integration across business education.

1. Comprehensive AI ecosystems and infrastructure that support coordination, scale, and long-term viability.
2. Democratization of AI education, ensuring AI literacy across all learning pathways, not only specialized tracks.
3. Domain-specific AI applications embedded within business disciplines to enhance career relevance.
4. Faculty development as the critical success factor, requiring sustained investment, incentives, and support.
5. Responsible AI and ethics integration woven throughout curricula and institutional practice.
6. Strategic partnerships with industry, technology providers, and peer institutions to accelerate capability.
7. AI-enhanced pedagogical innovation that transforms how learning occurs, not just what is taught.
8. Leadership in times of transformation, balancing urgency with institutional mission, values, and quality standards.

Collectively, these themes form a non-prescriptive framework that institutions can adapt to their unique contexts while maintaining alignment with shared expectations of quality and impact.

Continuing Implications for AACSB and Its Members

The expanded participation and evolving practices documented in this edition reinforce—and further strengthen—the key implications identified in the January 2026 report. As institutions continue to advance their AI strategies, several themes remain consistently evident:

• From infrastructure to governance: Schools are pairing AI platforms with governance frameworks, policies, and oversight to support responsible AI use across teaching, student services, and institutional operations.
• From AI awareness to AI literacy: AI literacy is increasingly viewed as a foundational competency, with schools shifting their attention from whether to require it to how to embed meaningful AI capabilities throughout the curriculum.
• From technology adoption to strategic partnerships: Institutions are moving beyond individual AI tools toward sustained collaborations with technology providers, employers, and peer institutions to build long-term organizational capability.
• From teaching ethics to embedding responsible AI: Responsible AI is becoming part of institutional infrastructure through dedicated centers, governance structures, and integrated approaches that extend beyond standalone ethics instruction.

Rather than promoting a single model for AI adoption, this report series continues to document emerging patterns of effective practice and provides leaders with a structured lens for reflection, decision-making, and continuous improvement.

Looking Ahead

The rapid evolution documented across three editions of this report emphasizes that AI integration is no longer a question of whether institutions should act but how they can do so thoughtfully and strategically. The decisions business schools make today on investment, faculty development, curriculum, governance, and partnerships will shape their long-term quality, relevance, and impact.

As an ongoing collaborative initiative, this framework reinforces AACSB’s role in convening the global business education community, sharing emerging practices, and advancing responsible innovation through collective learning and continuous dialogue.

For questions or any issues accessing the report, please email Tawnya Means at [email protected].