Higher education is at an inflection point. Over the past decade, economic and demographic pressures have driven waves of consolidation across our sector. Smaller state schools merge with larger institutions, struggling private colleges become satellite campuses, and for-profit schools cannibalise one another in frantic efforts to remain accredited and relevant. These changes are not anomalies but reflect deeper challenges: shrinking domestic enrolment, tightening budgets, and intensifying competition.
At the same time, global political and economic shifts add new layers of complexity. Canada, the UK, and Australia, three top destinations for international students, have imposed restrictive visa policies that limit mobility.
Meanwhile, the United States faces its own uncertainty. Political leaders may float ideas like green cards for graduates, but broader immigration policies teeter between uncertainty and contradiction. For international applicants, hesitation is understandable. For institutions, the stakes couldn’t be higher.
In this climate, it feels like international teams are expected to “pick up the slack” from declining domestic enrolment, often with fewer resources and less institutional support. As such, AI tools are becoming essential in streamlining workflows and getting tasks done.
As universities face unprecedented challenges, the use of AI is not just an opportunity; it’s a necessity. Institutions that embrace AI now will position themselves as leaders capable of achieving more with less. Those that hesitate risk falling behind, unable to compete in a rapidly changing market.
For international applicants, hesitation is understandable. For institutions, the stakes couldn’t be higher.
Where traditional methods are no longer enough, AI is already transforming admissions. Take transcript evaluations, one of the most time-consuming bottlenecks. What once took weeks – often requiring external evaluator – can now be done in hours or minutes. AI-powered tools process transcripts across languages and grading systems with remarkable accuracy.
Smaller teams can manage larger applicant pools while identifying top candidates sooner. AI can also analyse grades, essays, and recommendations to find strong matches. Institutions that finalise admissions and begin yield strategies while competitors are still processing paperwork gain a major advantage.
Recruitment is evolving just as quickly. AI-driven predictive tools help universities identify high-yield regions, anticipate visa trends, and allocate resources more effectively in real time. Tools like AIDO, an upcoming AI recruitment platform, go beyond data analysis, combining internal CRM data with external insights to identify untapped markets. In an industry where mobility trends shift quickly, this level of precision can mean the difference between success and failure.
While AI will never replace human relationships at the heart of international recruitment, it can enhance them. Tailored campaigns, virtual assistants, and real-time analytics allow institutions to connect with students more effectively, transforming follow up into a personalized ongoing process that builds trust. Instead of relying on drip campaigns and mass emails (which, let’s be honest, we all know aren’t getting opened) AI enables smarter, more meaningful engagement. AI won’t take away jobs, it will make us better at them.
Operationally, AI is a game changer. Automating repetitive tasks like data entry and routine communications allows admissions teams to focus on strategy and student engagement. Beyond efficiency, AI fosters innovation by giving teams the capacity to explore new approaches and adapt to changing markets. It won’t just help institutions keep up, it will propel them ahead.
Yet, the urgency to act cannot be overstated. AI is advancing faster than any technology in history, and universities cannot afford to wait for committees or quarterly board meetings to decide the way forward. Institutions that delay risk following the fate of Nokia and Kodak, giants that failed to adapt to shifting landscapes.
Nokia’s nearly indestructible phones were icons, but durability alone could not keep them relevant when smartphones redefined the industry. Kodak, once synonymous with photography, clung to film while digital technology surged ahead, sealing its downfall. Both failed to embrace innovation. Universities that resist AI risk being left behind in the same way.
AI is advancing faster than any technology in history, and universities cannot afford to wait for committees or quarterly board meetings to decide the way forward
The path forward doesn’t require a giant leap. Small steps, like using ChatGPT, Gemini, or Claude, offer immediate efficiency gains and prepare teams for more specialized tools. Investing in training ensures teams are ready for an AI-driven future. The biggest risk isn’t choosing the wrong AI tool; it’s doing nothing at all.
In today’s uncertain climate, it’s easy to feel like the storm clouds will never clear, but history shows that politics and markets are cyclical. While the horizon may not always be visible, we know it’s there. Institutions that position themselves now will be ready to seize new opportunities when the skies clear. AI will be a guiding force, helping universities navigate shifting conditions, streamline processes, and remain competitive in a consolidating global market.
The question is not whether AI will redefine international education, it already is. The question is, how long will your institution keep pretending it’s just another buzzword?
About the author: Greg Holz is the international recruitment officer at the University of Central Missouri, where he advocates daily for the US of AI in higher education. His journey into international cultures began in 1999 with a simple burrito, sparking a lifelong passion for global perspectives. At UCM, he works to enhance the university’s global profile through student recruitment and partnership development, leveraging technology and innovation to connect with students worldwide.
