The transformative potential of AI has never been more evident. But the real change is not what AI can do. That is what humans must do better than they are now: question, judge, and decide.
The December 2025 Harvard Business Review found substantial evidence that generative AI is not yet delivering significant economic value for many organizations. However, 60% of companies report workforce reductions in anticipation of AI implementation, even though only a minority of companies have reduced their workforce based on actual use cases. Leaders are not eliminating jobs because AI is already transforming them. They do it because they anticipate that they might.
AI is not about doing the same work faster. It’s about redesigning work itself. Machines handle well-defined tasks, while humans focus on problem definition, intent, judgment, and accountability. As adoption moves from an AI-assisted process to an AI-executed process, the value of humans does not diminish, but instead focuses on aspiration, creativity, and governance.
This raises a more fundamental question. Will AI make higher education obsolete? The answer is no. AI scales answers. Education develops the judgment to define what is important, evaluate it, and act on it. The future depends on the latter.
The productivity and transformation paradox
Despite the headlines that AI will “replace jobs,” most organizations are finding that implementation is slower and more complex than the hype suggests.
A fundamental misconception is that AI automates tasks, not entire jobs. Generative AI has the potential to improve personal productivity (in one report, 20.5% of workers said AI saved them more than four hours of work per week), but these benefits are not yet translated into overall business efficiency. Moving from empowering the individual to transforming the organization requires redesigning roles and workflows, along with decision rights, which most companies have not yet done.
Instead, AI is often bolted into existing processes. For example, marketers can use AI to quickly draft campaigns, but approvals and strategies remain the same. The result is individual efficiency rather than total transformation.
Most discussions about AI in organizations assume a linear improvement, where adding AI increases organizational efficiency.
In reality, AI is not a “plus”. It’s a catalyst. The result is a fundamentally new organization rather than an optimized organization. This requires a paradigm shift, not incremental improvements. AI doesn’t just change jobs. It will change the architecture of the organization.
This has created an urgent need for experts who can thoroughly examine the output of AI. In addition to being able to use human judgment in ambiguous situations, it’s important to know how to identify limits and ask the tough questions. Business education must prioritize these learning skills.
Ability to go beyond skill first
We often hear about “skills-first hiring” as a solution. Organizations are prioritizing new skills when hiring new employees, and in some cases breaking down roles into more fluid skill-based tasks.
However, skills-first recruitment and university education must coexist. Focusing solely on skills is short-sighted, as the lifespan of skills continues to shrink. Chase today’s tools, not tomorrow’s needs.
Students are also clear about how they want to learn. They prefer AI integrated throughout the curriculum through practical application, rather than being taught as a stand-alone subject. They understand that learning how to use AI and being replaced by AI are fundamentally different.
In an AI-driven environment, the ability to go beyond “skills first” is critical. These competencies allow individuals to apply, adapt, and manage skills in rapidly changing environments. These include problem framing, judgment, systems thinking, learning agility, ethical reasoning, creativity, and the ability to influence and take responsibility.
What business education has to offer
As technology becomes more powerful, human skills become even more important. As AI increasingly handles routine data analysis and content generation, the invaluable value of business education lies in what machines cannot do: develop critical thinking. The ability to examine output, question assumptions, identify blind spots, and make decisions will be advanced skills that employers cannot automate.
As AI systems are integrated into business decisions such as lending, hiring, pricing, and supply chain optimization, ethical reasoning is moving from the periphery to the center of management practice. Organizations need leaders who recognize bias, consider stakeholder influences, and make responsible choices. This is a unique area of education, developing ethical reasoning alongside technical and managerial skills.
Perhaps most importantly, the pace of change driven by AI is making the capacity for lifelong learning more valuable than a fixed body of knowledge. The ability to learn how to learn, adapt to new tools, let go of outdated practices, and remain curious is emerging as the meta-skill that will define the AI era and must be fostered by education.
Business education must emphasize durability and complete integration. After all, preparing people to learn, unlearn, and navigate uncertainty is more important than preparing them for a single job.
Why do companies need business schools as partners?
Business schools are uniquely positioned to be essential partners in workforce transformation, but this requires changing the way they engage with employers and students.
Employers recognize training needs but are not meeting them. According to a 2025 McKinsey study, 48% of employees believe training is the most important factor for successful generative AI adoption, but nearly half say they receive moderate or minimal support. Meanwhile, 92% of companies plan to increase their investment in next-generation AI over the next two years, revealing a significant imbalance between investment in AI and investment in talent.
Rather than preparing for the arrival of AI by cutting staff, the most advanced companies are responding by reskilling and upskilling existing employees to work alongside AI. Business schools can play a central role here by offering executive education, certificate programs, modular courses, and flexible online options tailored to working professionals.
Skills and technology are evolving so rapidly that education can no longer be about three or four years of experience followed by 40 years of work. Business schools must support their graduates through micro-credentials and employer-sponsored cohort learning and become lifelong partners.
Collaboration with employers is a key requirement. Work-based learning, where skill development occurs within the flow of work, should be at the core. This may include consulting projects that double as learning experiences, apprenticeship-style programs, and custom programs designed to address specific organizational challenges.
Instead of a linear, tertiary model (hire, educate, graduate), business schools need to foster ongoing relationships that keep graduates coming back for new skills and qualifications, and where to turn for support. This approach helps generate recurring revenue and strengthen partnerships with employers, while demonstrating your commitment to long-term career success.
Education as essential infrastructure
So will AI replace higher education? The answer is definitely no. AI is increasing rather than reducing the need for human judgment. Humans still need to define the problem, ask the right questions, evaluate the output, and manage how the system is used. AI may automate some of the processing steps, but the responsibility remains entirely with humans. This end-to-end responsibility, input, output, and oversight is what business education develops.
Since management is fundamentally a social science based on human interaction, its importance will not be diminished by AI, it will continue to grow.
The challenge for business schools is to develop students with these skills and the capacity for lifelong learning. In this sense, business education is becoming a modern liberal art. Management capabilities are no longer limited to business roles. They are essential in every industry, from healthcare to technology to energy. As AI enhances specialized technical knowledge, differentiators will shift to human-centered capabilities such as decision-making, coordination, and leadership.
Schools that embrace this moment by embedding AI across their curriculum, prioritizing experiential learning, creating continuous learning pathways, working closely with employers, and championing the human advantage will not simply survive the transition to AI. They will be essential partners in shaping the future of work.
Written by Lily Bi, President and CEO of AACSB International
