The Pulse of Higher Ed

Why Institutional Leaders Can No Longer Afford to Wait on AI adoption
The clock is ticking for higher education institutions that haven’t fully embraced AI. What was once an experimental advantage in marketing and enrollment has quickly become an urgent necessity. AI has firmly established itself as an operational imperative across diverse industries, with the global AI software market projected to reach $126 billion by the end of 2025. A recent study by UPCEA and EducationDynamics highlights this transformation, revealing that for higher education, the question is no longer whether institutions should use AI in marketing, but how quickly institutions must adapt to remain competitive. The report, “Marketing and Enrollment Management AI Readiness Report 2025,” underscores a critical message: a significant gap persists between institutional optimism about AI and actual operational readiness, and the cost of delaying adoption is rapidly increasing.

AI’s Proven Impact in Higher Education

AI’s widespread adoption is undeniable, with 78% of organizations reporting AI usage in 2024, a notable jump from 55% in 2023. Generative AI alone saw usage in at least one business function leap from 33% to 71% in the same period. Higher education is not immune to this transformation. Institutions are actively integrating AI into their operations, and the benefits are clear:

• Embedded Tools Drive Efficiency: Nearly two-thirds (65%) of institutions are utilizing AI-enhanced creative and design tools, while over half (51%) employ social media management tools with embedded AI. Customer Relationship Management (CRM) systems and data analytics platforms also frequently incorporate AI features (31% each), streamlining workflows and automating routine tasks.
• Rising Effectiveness and Quality: The perceived effectiveness of AI-powered tools is on the rise, particularly in areas like content generation (rated most effective by 47% in 2025), content optimization (41% effective), and customized ad and message delivery (39% effective). Imagine admissions counselors spending less time on manual data entry and more time on high-value, personalized student interactions, leading to a smoother application process and faster follow-ups. From crafting perfectly tailored email campaigns to generating compelling website content in minutes, AI is enabling marketing teams to produce higher-caliber materials with speed.
• Tangible Gains and Measurable ROI: Institutions adopting AI-driven technologies are reporting measurable gains in efficiency, quality, and return on investment (ROI). Specifically:
  • 69% reported improved efficiency in marketing and enrollment workflows.
  • 52% noted an increase in the quality of their work.
  • Nearly half (48% believe AI integration has positively impacted their enrollment funnel).

AI is delivering significant returns in customized ad messaging, lead generation, and creative content development. Content optimization also ranks high for ROI.

Where Higher Ed is Falling Behind

Despite these clear benefits and accelerating staff adoption (65% of respondents use emerging tech in marketing/enrollment, up from 40% in 2024), a “significant disconnect” remains between staff receptivity and institutional readiness.

Lagging Pace

A substantial portion of institutions do not consider themselves leaders in AI implementation (56%). When compared to peers, 36% felt their institution was behind, and only 21% believed they were ahead.

Persistent Barriers

Key hurdles continue to impede AI adoption, with many growing more pronounced since 2024:

• Budget constraints (cited by 76% of respondents).
• Technical infrastructure limitations (64%).
• Data privacy and security concerns (52%).
• Staff readiness (50%) and resistance to change (47%).
• A concerning 44% of respondents reported their institution lacks a plan to upskill or support staff in adopting AI-driven technologies.

Impact on Staff Retention

The cost of inaction is also affecting personnel. In 2025, 34% of respondents stated that their institution’s stance on AI would impact their likelihood to stay at that institution. This suggests that embracing AI is becoming a critical factor for attracting and retaining talent.

The Path to Rapid Implementation

The report offers clear implications for leadership to convert receptivity into strategic action:

Invest Where Impact Is Proven

Focus resources on AI applications that have already demonstrated high ROI, such as content creation, personalized ad delivery, and lead generation. This approach can accelerate returns and free up capacity for further innovation.

Upskill Teams

Targeted training is crucial, encompassing both technical skills and change management. Providing clear growth pathways tied to AI fluency can significantly improve staff engagement and retention. While 90% of respondents see AI as useful for their growth, 44% report no current plan for staff AI training. This gap must be addressed.

Align Leadership with Operational Readiness

Leaders must move beyond passive support and actively integrate AI into strategic plans, benchmarking adoption progress, and allocating necessary resources. The nearly doubled rate of respondents citing “lack of alignment with strategic priorities” (from 18% in 2024 to 33% in 2025) highlights this urgent need.

Establish Institutional AI Governance

Creating robust governance structures involving marketing, enrollment, IT, and data privacy leaders is essential. These groups should collaborate to develop responsible AI use policies, ethical guidelines, and transparent data privacy practices communicated to prospective students. Students themselves expect transparency (58%) and increasingly demand personalized communication (74%) and faster response times via AI tools (90%). Institutions must ensure their AI-accessible content aligns with student needs.

AI is the Central Pillar for Institutional Success

AI is no longer on the periphery of higher education; it is rapidly becoming a central pillar for institutional competitiveness, staff retention, and the student experience. The study concludes that institutions no longer need convincing of AI’s potential, but rather a “purposeful path to rapid implementation”. Those that adopt AI with intentionality, foster cross-departmental collaboration, and embrace a sense of urgency will be best positioned to meet today’s evolving expectations and shape the future of student engagement and institutional growth. Delaying action, however, risks leaving institutions permanently behind.