71% of Business Schools Teach AI, but Practical Skills Lag

Artificial Intelligence is becoming an increasingly important part of management education, with business schools integrating AI into classroom learning, business simulations and strategic decision-making. However, a gap remains between teaching AI concepts and preparing students to use AI tools in everyday professional tasks.

According to the Graduate Management Admission Council (GMAC) 2026 Application Trends Survey, 71% of graduate management education programmes offer hands-on AI learning. However, only 37% provide training in prompt-writing and using AI for day-to-day tasks.

The findings highlight how business schools are adapting their curricula to an AI-driven workplace while facing questions about whether students are acquiring the practical skills employers increasingly expect.

Business Schools Move AI Beyond Classroom Theory

The GMAC survey found that AI integration has become widespread across graduate management programmes. Only 8% of programmes worldwide reported having no mechanism to incorporate artificial intelligence into their curricula.

Hands-on learning is the most common approach, with 71% of programmes incorporating practical AI experiences such as business simulations and real-world applications.

Meanwhile, 66% of programmes offer courses examining how AI can support business decision-making. An equal proportion explore its role in developing business strategies, indicating that institutions are increasingly treating AI as a tool for management and organisational planning.

Another 58% of programmes include discussions about AI’s impact on society and business ethics. These lessons can help students understand the broader implications of deploying AI systems, including questions around responsible use and decision-making.

However, the adoption of AI for routine academic and professional tasks remains less widespread. Only 37% of programmes provide training in prompt-writing and everyday AI applications. Furthermore, just 21% use AI to personalise learning paths and allow students to progress at their own pace.

What Do Students Want to Learn About AI?

The report also compared the areas in which business schools are integrating AI with the priorities of prospective graduate management students. The findings show that practical experience is important to both groups, although differences emerge in other areas.

Hands-on AI experience ranked as the leading priority. While 71% of programmes incorporated practical AI applications, 66% of prospective candidates considered this type of learning important.

The gap was more noticeable in everyday AI skills. Around 46% of candidates considered prompt-writing and using AI for routine tasks important, compared with only 37% of programmes offering such training.

Business strategy education showed a slightly different pattern. While 66% of programmes offered AI-related business strategy learning, 62% of candidates considered it important.

These findings suggest that institutions are broadly responding to student interest in AI, but practical training remains an area where some programmes could expand their offerings.

Why Everyday AI Skills Matter for Future Managers

AI is changing how organisations approach recruitment, data analysis, marketing, financial planning and business operations. As companies adopt AI-powered tools, managers are increasingly expected to understand how these technologies work and where they can be applied.

For future professionals, knowing that AI can support business decisions is different from being able to use it effectively. Employees may need to write clear prompts, evaluate AI-generated information, identify inaccurate outputs and apply the results to specific business problems.

Practical AI literacy also involves understanding the limitations of automated systems. AI-generated recommendations require human judgement, particularly when decisions involve financial risks, employee management, customer information or sensitive business data.

This makes everyday AI skills relevant across management roles, including consulting, finance, marketing, operations and human resources.

Are Business Schools Preparing Students for AI-Driven Workplaces?

The survey indicates that AI is no longer a peripheral subject in global management education. Business schools are incorporating the technology into practical exercises, strategy courses and discussions about its wider impact.

However, the level of curriculum integration does not automatically establish whether graduates are fully prepared for AI-driven jobs. Students also need opportunities to apply AI tools to realistic business challenges and understand when human oversight is necessary.

The difference between the 71% of programmes offering hands-on AI experiences and the 37% teaching everyday AI applications highlights an important distinction. Practical simulations and strategic discussions can introduce students to AI’s business potential, while prompt-writing and routine tool usage help them develop skills they may need in daily work.

Survey Covers 314 Business Schools Across 39 Countries

The GMAC 2026 Application Trends Survey covered 1,162 graduate management programmes across 314 business schools in 39 countries. Its findings provide an international view of how management education is responding to the growing importance of artificial intelligence.

The results show that AI adoption is becoming a regular feature of Business Education, although the depth and type of training vary across programmes.

For students preparing to enter the workforce, the findings underline the importance of developing both strategic understanding and practical AI capabilities. As employers increasingly incorporate AI into business processes, graduates may need to demonstrate that they can use these tools responsibly rather than simply understand their potential.

Practical AI Training Could Shape the Future of Management Education

The growing presence of AI in business school curricula reflects a wider transformation in professional skills. Management education is increasingly expected to prepare students for workplaces where human judgement and AI-powered tools operate together.

The challenge for institutions will be to move beyond introducing AI concepts and provide more opportunities for students to use the technology in everyday tasks. Training in prompt-writing, evaluating AI outputs and applying AI to real business problems could help narrow the gap identified in the survey.

As AI becomes more deeply embedded in organisational decision-making, the ability to understand and use it effectively is likely to remain an important part of management education.