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Want to Stay Relevant in the Age of AI? Take a Sales Class.

Employers continue to rank communication among the skills they value most, yet many new graduates still struggle to demonstrate it. Professional sales education may be one of the best places to build the human capabilities AI is making more valuable.

We are understandably racing to prepare college students for an economy increasingly shaped by artificial intelligence. Universities are talking about AI literacy, analytics, automation, and the technical capabilities graduates will need in the years ahead. All of that matters. Students should graduate comfortable working with AI rather than afraid of it.

But employers are sending another message that deserves equal attention: they still need people who can communicate, think critically, adapt, and work effectively with others.

The National Association of Colleges and Employers’ Job Outlook 2026 Spring Update lists communication, teamwork, professionalism, and critical thinking among the most important career-readiness skills for new graduates.[1] Earlier NACE research makes the communication gap especially clear: 96.1% of employers rated communication as very or extremely important, while only 53.5% rated recent graduates as very or extremely proficient in it.[2]

That is a remarkable disconnect between what employers say they need and what they believe many graduates are prepared to deliver.

At the same time, GMAC’s 2026 Corporate Recruiters Survey found that AI, technology, and data-analysis skills are rising rapidly in importance while communication, problem-solving, and adaptability remain among the capabilities employers value most.[3]

The message is not that technical skills are replacing human skills. Employers increasingly expect graduates to bring both. So where are students actually learning to communicate?

One answer may be hiding in plain sight: the sales classroom.

When students hear “professional selling,” many assume the course is only for people pursuing sales careers. That interpretation dramatically understates what professional sales education can do.

A good sales course forces students to ask better questions, listen carefully, uncover needs, explain complicated ideas clearly, present with confidence, respond to objections, adapt their approach, and build credibility. More importantly, they have to do those things when a conversation does not go according to plan.

A customer may ask an unexpected question. An objection may surface that was not in the presentation. A student may realize halfway through a role-play that the approach they prepared is not working. At that point, there is no multiple-choice answer to select. The student has to listen, think, adjust, and continue.

That kind of adaptive communication is exactly what makes sales education valuable beyond the sales profession. Recent research on undergraduate sales role-plays also shows meaningful relationships between students’ language use and evaluator-assigned communication and performance scores.[5]

The relevance of these skills becomes even clearer when we consider what AI can already do. It can research a company, summarize an industry, analyze data, draft correspondence, build presentations, suggest questions, and generate recommendations.

As those capabilities improve and become available to everyone, the technology itself becomes less differentiating. The difference may emerge when two people walk into the room with equally good AI-generated preparation. Can one explain the recommendation clearly? Can that person recognize when someone is unconvinced, ask the question that uncovers the real problem, adapt when new information emerges, and earn enough trust to move a decision forward?

AI is not eliminating human advantage. It is moving it.

The World Economic Forum’s Future of Jobs Report 2025 points in the same direction. AI and technology skills are among the fastest-growing areas of demand, but employers continue to emphasize analytical thinking, resilience, leadership, collaboration, creativity, flexibility, and agility.[4]

That is why I increasingly see professional selling as more than career preparation. An entrepreneur sells an idea. A manager sells change. A supply-chain professional sells a recommendation. An analyst sells an interpretation of the data. A job applicant sells potential. Executives sell vision.

Almost every meaningful business career eventually requires one human being to influence another. Professional selling is therefore not simply occupational training. At its best, it is communication training, persuasion training, listening training, relationship training, confidence training, and resilience training. Increasingly, it may also be relevance training.

Students absolutely need to learn AI. They should understand it, experiment with it, and become comfortable incorporating it into their work. But technological fluency alone will not be enough. As more people gain access to the same powerful tools, differentiation will increasingly come from what they can do with those tools and how effectively they can work with other people.

So if you want to stay relevant in the age of AI, take a sales class.

Not because everyone needs to become a salesperson, but because almost everyone will benefit from becoming a better communicator, listener, problem solver, persuader, and relationship builder. Those skills have always mattered. AI may be about to make them matter even more.

Sources & Further Reading

  1. Gatta, Mary. “Employers Say New Grads Are Largely Prepared for Work, With Room to Improve.” National Association of Colleges and Employers, 2026. View source ↗
  2. Gray, Kevin. “The Gap in Perceptions of New Grads’ Competency Proficiency and Resources to Shrink It.” National Association of Colleges and Employers, 2025. View source ↗
  3. Graduate Management Admission Council. 2026 Corporate Recruiters Survey Report. 2026. View source ↗
  4. World Economic Forum. The Future of Jobs Report 2025. 2025. View source ↗
  5. Kemp, April, Elizabeth R. McDougal, Nicole A. Flink, and Rebecca Dingus. “The Power of Words: Analyzing Sales Role-Playing Performance Using LIWC Linguistic Insights.” Journal of Marketing Education 48, no. 2 (2026): 218–234. View source ↗
Kenneth W. O’Connor

Kenneth W. O’Connor, Ph.D.

Professor, researcher, and business practitioner focused on professional sales, supply chain logistics, transportation, artificial intelligence, and applied business education.

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