**Most B-school Faculty in India Lack AI Expertise: Survey**

*By Dwaipayan Roy | Sep 28, 2025, 04:49 PM*

A recent survey conducted by MBAUniverse.com has revealed that while Indian business schools are rapidly adopting artificial intelligence (AI) technology, the majority of faculty members still lack the necessary expertise to effectively utilize these tools.

The study surveyed 235 educators from prestigious institutions such as IIMs, IITs, ISB, XLRI, and SPJIMR. It found that only 7% of these educators consider themselves expert users of AI tools.

### Growing Acceptance of AI in Academia

Despite the low level of expertise, the survey highlighted a positive shift in attitudes towards AI. About 51% of faculty members expressed confidence in the positive impact of AI adoption on business school students. More than half anticipate an increased role for AI in teaching, curriculum design, and research over the next year. This shows a growing acceptance and readiness for deeper integration of AI into academic processes.

### Application Areas: Transformative Potential of AI in Management Education

According to the survey, faculty are primarily using AI for research and teaching purposes. However, AI’s role in curriculum development is also steadily increasing. Administrative tasks and student assessment are emerging areas for AI application, indicating opportunities for structured support and capacity-building programs.

This highlights AI’s potential to transform multiple aspects of management education beyond just classroom teaching.

### Faculty Perceptions and Tool Preferences

The survey also explored faculty perceptions regarding AI’s impact on student learning, skill development, and classroom engagement. It assessed the tools, training, and policy guidance educators consider most important for responsible AI adoption.

Notably, ChatGPT emerged as the most relevant AI tool for teaching-related activities among faculty members.

### Challenges and Concerns in AI Adoption

While many faculty members viewed AI’s impact on student learning positively, 21% felt it was too early to determine its effects. Meanwhile, 18% perceived an unfavorable impact, and nearly 10% reported no significant changes.

The main challenges cited in using generative AI for research included ethical concerns, followed by issues related to inaccuracies, unreliable outputs, and a lack of regulatory policies.

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The survey underscores the urgent need for capacity building and policy frameworks to equip business school faculty with the skills and guidelines necessary to harness AI’s full potential responsibly and effectively.
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