Artificial Intelligence in Education: Dangers Versus Advancements

By Marcelina Horrillo Husillos

An overview of the pros and cons for MBA students

According to PwC’s 2025 Global AI Jobs Barometer report, every major industry is using more AI. —Workers with AI skills now earn 56% more than those in the same jobs without these skills. — This is up from 25% just a year ago. — The skills needed for AI jobs are changing 66% faster than in other fields. This shows how important it is to keep learning in a world that relies more on AI. 

By adding a concentration in AI to a Master of Business Administration (MBA), which is one of the most versatile business degrees available, aspiring business leaders can open the door to new, high-growth career opportunities.  

But not everything about AI transition and integration in education is rosy; the overreliance on AI tools presents a significant danger to students. Relying too much on automated analysis and writing tools may prevent them from developing the critical thinking and problem-solving abilities which make leaders stand out.

This article analyses the pros and cons of AI advancement in MBA education.

According to last year’s GMAC Corporate Recruiters Survey, 99% of employers expressed confidence in graduate management education and students’ ability to navigate technological disruption and drive change.

According to the survey, most employers agree that the combination of technical, analytical and soft skills gained through business education is more important than ever, as businesses adopt and adapt to new technologies.

Relying too much on automated analysis and writing tools may prevent them from developing the critical thinking and problem-solving abilities which make leaders stand out.

An MBA with a concentration in AI is designed to develop students’ technical expertise — including basic programming and prompt engineering skills — along with strategic management abilities. Beyond technical literacy, the program explores practical applications of AI and generative AI (gen AI) and how leaders can leverage these technologies to drive innovation and boost productivity. This combination prepares graduates to thrive in an AI-enabled job market. 

Pros of AI adoption in MBA education

• AI courses provide speed and personalization: AI enables courses to learning speed and provides individualised leadership style feedback through tools, while placing you in simulated business crises
• AI connects with market trends:The implementation of AI systems helps educational institutions maintain their alignment with current employment market requirements.
• AI overcomes cross-cultural barriers: AI tools enable students with international interests to overcome language and location obstacles.

Graduates of an MBA program with a concentration in AI should emerge ready to: 

• Lead innovation, efficiency, and ethical decision-making with AI 
• Manage machine learning projects from concept to completion, ensuring alignment with business goals 
• Communicate technical concepts clearly to nontechnical stakeholders 

Cons of AI adoption in MBA education

• AI competes with traditional: Traditional classroom methods, including lectures and case studies, together with group discussions, face increasing competition from new educational approaches
• The human aspects of business school education remain a major concern. The implementation of online and hybrid learning models results in fewer opportunities for spontaneous coffee chats and hallway brainstorms, and networking dinners, which are essential components of the MBA experience.
• The overreliance on AI tools presents a significant danger to students. Relying too much on automated analysis and writing tools may prevent you from developing the critical thinking and problem-solving abilities which make leaders stand out. 
• Access to AI-tools is not equal for every student. The schools should provide an equitable learning environment to ensure that AI adoption doesn’t amplify existing disparities. This could include foundational training in data literacy, free access to learning platforms, or mentoring from tech-savvy peers.
• The rise of AI-generated assignments and essays raises questions about academic integrity. Schools should promote an environment that fosters real learning—not one where shortcuts are the norm. Business schools must establish clear policies around the use of generative AI, and they must model ethical behavior for their students to emulate in the workplace.

Conclusion

With AI and disruptive technologies reshaping the job market, it’s more important than ever to choose an MBA program that not only recognizes the disruptive potential of AI but takes an AI-integrated approach to prepare students for the workforce. 

MBA graduates becoming the next generation of business leaders will have to be well-rounded and master a robust skillset if they are to succeed, balancing technical knowledge and abilities with human skills to harness technology and drive change.

On the other hand, soft skills cannot be disregarded. While some traditional methods may be gradually displaced and replaced by automotive processes, the human aspect in business should become the protagonist: choices made on judgment, taste, creativity and strategic thinking are typical human assets, and it is expected that they will remain and be valued in this way.

This being said, MBA students should remain loyal to their learning process by avoiding over-reliance on AI-tools, at the same time that schools should look at implementing processes seeking a healthy balance between AI and traditional teaching, for the sake of maintaining quality in MBA education.

This immediately raises the question of the future of regulation in AI. Precisely because AI  will act as an invisible, omnipresent infrastructure, integrated into our daily routines, functioning as a cognitive companion capable of making decisions on our behalf.