AI is already in the workplace. It is drafting emails, screening resumes, summarizing meetings, analyzing customers, generating reports and influencing decisions that affect people’s careers and lives. That is why higher education faces a choice: We can teach students to use artificial intelligence as a shortcut or we can teach them to use it as a tool that demands judgment.

Too much of the current conversation treats AI as a software-training issue. Colleges and universities are being encouraged to help students learn the latest platforms, write better prompts and produce work faster. Those skills matter, but they are not enough.

If we teach students how to use AI without teaching them how to question it, verify it and understand its consequences, we will send graduates into the workforce with powerful tools and underdeveloped judgment.

That would be a serious failure.

The future will not belong simply to people who know how to operate AI. It will belong to people who can combine technology with ethical reasoning, communication, creativity and human understanding. In other words, the most important AI skill may not be technical at all. It may be knowing when not to trust the answer.

Consider what is already happening. A hiring manager can use AI to sort applicants. But who checks whether the system is reinforcing bias? A finance professional can use AI-supported models to evaluate risk. But who examines the assumptions behind the model? A marketing team can generate content instantly. But who decides whether the message is authentic, accurate and worthy of public trust? A student can produce a polished report in seconds. But can that student explain the argument, defend the evidence and take responsibility for the conclusion?

These are not theoretical questions. They are workplace questions. They are leadership questions. They are ethical questions.

That is why AI literacy is not enough. We need human-centered AI fluency.

Human-centered AI fluency means students learn not only what AI can do, but what it should do. It means they understand privacy, bias, accountability, intellectual honesty and the human consequences of automated decisions. It means they know how to use AI to improve work without outsourcing responsibility to it.

This is especially important in business education. Business decisions shape workplaces, markets, communities and individual lives. If future managers, analysts, entrepreneurs and executives learn to chase efficiency without judgment, AI could make organizations faster but not necessarily wiser. We should not confuse speed with leadership.

As a business dean, I hear a consistent message from employers: They want graduates who are comfortable with technology, but they do not want graduates who let technology do their thinking for them. They need people who can analyze information, communicate clearly, work with others, adapt to change and make responsible decisions when the answer is not obvious. AI makes those skills more important, not less.

Higher education should therefore take a firm stance: AI should not be treated as a way around learning. It should be treated as a reason to deepen learning.

That means students should use AI in structured ways. They should compare AI-generated responses with credible evidence. They should identify errors and hallucinations. They should examine how AI tools perform differently across contexts and populations. They should discuss the ethical implications of using AI in hiring, finance, healthcare, education, marketing and public communication. They should learn how to disclose AI use appropriately and how to preserve their own voice and integrity.

A student who uses AI well should not become less curious. The student should become more curious, more skeptical and more prepared to ask better questions.

Faculty also need support. Many instructors are being asked to redesign teaching while the tools themselves are changing rapidly. Institutions should provide time, training and shared principles. Faculty do not need to become software engineers to teach students about AI, but they do need help connecting AI to disciplinary knowledge and professional practice.

The public also has a stake in this. AI will influence public trust, democratic discourse, financial decisions, employment opportunities and access to services. If colleges treat AI only as a productivity tool, they will miss one of their most important responsibilities: preparing thoughtful citizens who can live and lead in a technology-shaped society.

The goal should not be to produce graduates who move faster without thinking harder. The goal should be to produce graduates who can use powerful tools with responsibility, humility and judgment.

Artificial intelligence will change how work gets done. That much is certain. What remains uncertain is whether it will make work more human or less human.

Higher education should not wait for that answer. It should help shape it.

Prasad Vemala is Dean of the newly named Haverlack College of Business at Slippery Rock University and has served in academic leadership roles in the Pittsburgh region for more than a decade.