To AI or Not to AI in Higher Education Marketing?

An Argument With Myself

Artificial intelligence (AI) has already made significant inroads into higher education, transforming various aspects of campus life and academic processes. Since becoming part of the mainstream lexicon two years ago, AI has rapidly evolved from a subject of concern regarding academic integrity to an integral tool for enhancing educational experiences. Today, AI is influencing everything from recruitment strategies to long-term student success, with institutions using advanced analytics to predict outcomes, optimize operations, and improve decision-making. Our 2025 Marketing and Recruitment Practices for Undergraduate Students Report details some of the ways colleges and universities have incorporated AI in higher education marketing and enrollment operations.

However, the integration of AI in higher education is not without its challenges and ethical considerations. As we examine the pros and cons of utilizing AI in higher education marketing, it’s crucial to understand that this technology is no longer a future prospect but a present reality shaping the landscape of colleges and universities across the nation.

The pros of AI in higher education marketing

AI offers transformative benefits for higher education marketing by enabling personalized and data-driven strategies. Key advantages include:

• Personalized outreach: AI analyzes vast datasets to tailor content and communication for prospective students, increasing engagement and conversion rates. For example, predictive analytics can identify high-value leads and anticipate drop-off points in the enrollment process. And since Ann Taylor, Target, Netflix and a host of other brands are utilizing AI to serve me content that is specifically tailored to my tastes, my buying behaviors, and my blood sugar level/impulse control, it is imperative that higher ed keep up with the rest of the content consumer driven market.
• Automation: AI automates repetitive tasks like email campaigns, social media posts, and chatbot interactions, freeing up staff to focus on strategy and relationship-building. This reduces costs and improves operational efficiency. Higher ed leaders continue to lament the talent/staff crisis on campus, particularly in smaller cities and rural areas where the available talent may be shallow and work-from-home opportunities are not widespread. Instead, we must maximize the time of the staff we have and utilize them for the activities and outcomes that are truly reliant on human interaction, while automating, outsourcing, or eliminating the rest.
• Real-time support: AI-powered chatbots provide 24/7 support, answering student inquiries instantly and improving the overall student experience. Digital assistants engage with your prospective students, parents, alumni, and supporters when it’s best for THEM, rather than best for you. International student populations may not be in your time zone and may be unable to connect during U.S. business hours. Parents and prospective parents may be researching during off-hours. The RNL Compass digital assistant provides that round-the-clock engagement that directly integrates and feeds data to your CRM while also protecting your data in a closed environment.
• Scalability: Institutions can scale their marketing efforts across diverse demographics and platforms without requiring proportional increases in resources, helping smaller teams achieve broader reach.

Potential cons with AI in higher education marketing

Despite its advantages, AI in higher education marketing could pose significant risk or create unforeseen challenges if not managed with care:

• Data privacy issues: The use of AI requires collecting and analyzing large amounts of personal data, raising concerns about compliance with privacy regulations such as GDPR or FERPA. Data security, privacy, and management are top concerns on campuses. It is incredibly important that you are utilizing tools that not only secure your data but that you are managing that data ethically. AI governance requires thoughtful planning and ongoing management. RNL works closely with partners who wish to devise a governance framework whether or not you are implementing AI tools.
• Bias in algorithms: AI systems may inadvertently perpetuate biases present in training data, leading to unfair targeting or exclusion of certain student groups.
• Round peg, square hole syndrome: Many AI solutions are not created for higher ed and do not account for the specific, complex needs that colleges and universities have compared to other consumer or B2B industries.
• Loss of human touch: Over-reliance on AI can make interactions feel impersonal, potentially alienating prospective students who value human connection. Working with your team to talk about appropriate uses for AI, proper proofreading, and quality control is key. My colleague Dr. Raquel Bermejo discussed the need to balance technology and human connection with students.
• Implementation costs: While AI promises cost savings over time, initial setup costs for advanced tools and training staff can be prohibitive for some institutions. Work closely with a trusted partner/vendor to ensure you are getting the best bang for your buck. Embracing AI may require investment, but it should yield so much more in return.

Be aware of all the pros and cons as you evaluate your AI options

In summary, while AI enhances efficiency and personalization in higher education marketing, institutions must navigate ethical challenges, potential biases, and implementation hurdles to maximize its benefits responsibly.

We cannot, however, let the possible risks prevent our institutions from maximizing this tremendous capacity-building tool. As a 50+ year veteran in higher education, RNL has a unique understanding of your campus environment, the likely trepidation, the potential hurdles to adoption, and the risk of inaction. That is why we are investing in AI development that is built just for you, your students, and your campus needs. Coupled with RNL’s renowned consulting expertise, governance support, strict attention to data privacy, and industry-leading marketing and enrollment solutions, we can help you and your campus use AI to advance your mission and achieve your goals while minimizing risk and campus pushback.

Discover RNL Edge, the AI solution for higher education

RNL Edge is a comprehensive suite of higher education AI solutions that will help you engage constituents, optimize operations, and analyze data instantly—all in a highly secure environment that keeps your institutional data safe. With limitless uses for enrollment and fundraising, RNL Edge is truly the AI solution built for the entire campus.

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