EDUCAUSE 2026: What University IT Leaders Are Prioritizing for 2027

Last week’s EDUCAUSE Annual Conference 2026 brought together higher education technology leaders from across North America at a time of growing financial pressure, shifting student expectations, and accelerating AI adoption. Conversations we heard throughout the event revealed a sector that is actively looking for ways to reduce waste, improve efficiency, and make more informed technology investments.

The messages from CIOs and IT leaders were clear: institutions can no longer afford to invest based on assumptions. To thrive over the next year, universities will need to understand how technology is actually being used, demonstrate value, and align investments to institutional priorities. 

A sector under increasing pressure 

One theme surfaced repeatedly in both conference sessions and booth conversations: higher education is being asked to do more with less. This theme has been trending upward for a few years now but seems to be growing in prevalence and urgency. Concerns around declining enrolment, budget constraints, hiring freezes, and rising technology costs have now become more common across institutions of all sizes.  

Several attendees shared that organizational resructuring, and reduced staffing levels are forcing IT teams to rethink how services are delivered. Meanwhile, institutions continue to face growing demands from students, faculty, and leadership for reliable, accessible, and innovative digital experiences.  

This tension between limited resources and growing expectations was reflected throughout the conference’s discussions on the future of higher education technology.

Visibility has become a strategic necessity

If there was a single phrase that summarized EDUCAUSE 2026, it would be this: you can’t optimize what you can’t see.

Many institutions acknowledged they lack visibility into software utilization, device usage, lab demand, and technology spending. As budgets tighten, leaders increasingly need data to understand:

• Which software is being used, to help right size costs
• Where devices and resources are underutilized, to optimize hardware and lab space
• How student demand is changing, to see when and where demand for hardware and software is needed
• Which investments deliver measurable value, which is particularly relevant in the adoption and investment in AI
• Where costs can be reduced without impacting outcomes

Conversations around technology rationalization, usage analytics, and investment optimization were significantly more prevalent than in previous years. Rather than asking “What should we buy next?”, many institutions are now asking: “How can we get more value from what we already have?”  

This shift aligns closely with the EDUCAUSE Top 10 Issues for 2027, particularly around reducing friction, measuring enrolment shifts, improving data governance, and determining where AI and technology investments add genuine institutional value.

AI moves from experimentation to accountability

AI remained one of the most discussed topics throughout the conference, but the conversation has evolved.

The focus is no longer on whether institutions should adopt AI, but how to operationalize AI responsibly, measure return on investment, and where AI can deliver meaningful outcomes.

Interestingly, several sessions highlighted growing student reluctance around AI. According to the EDUCAUSE student and technology research discussed at the conference, students see benefits in areas such as instant feedback and support, but many also have concerns around plagiarism, false accusations, restrictive policies, and a lack of clear guidance on acceptable use.  

One particularly strong message from institutional leaders was that AI strategies should start with educational outcomes and faculty use cases, with examples from successful institutions engaging faculty, students, employers, and IT teams together to ensure AI adoption supports institutional goals.  

For 2027, the challenge will be demonstrating value, governance, and measurable impact.

Collaboration is becoming a survival strategy

Another major trend was increased collaboration within and between institutions.

The session examining collaboration between Ohio’s public universities highlighted how institutions are working together to tackle software cost pressures, share market intelligence, benchmark spending, and improve negotiating power with vendors.  

Many attendees expressed frustration with rising software costs, limited supplier choice, and a lack of pricing transparency. There was widespread acknowledgement that institutions often feel locked into existing platforms because of the complexity and hidden costs associated with switching providers.

As enrolment pressures continue and budgets remain constrained, several delegates suggested that universities will increasingly centralize services, share resources, and potentially explore deeper institutional partnerships or consolidation models in the years ahead.  

Extending value from existing investments

A practical session from the University of Idaho, demonstrated how it successfully extended the life of existing lab hardware rather than undertaking a costly refresh program.  

Faced with aging infrastructure and limited budgets, the institution redesigned its lab environment around open-source technologies and centralized management, enabling it to continue supporting students without additional capital investment. The outcome was not only cost reduction, but also a broader lesson in rethinking traditional approaches to technology provisioning.  

This theme appeared repeatedly across EDUCAUSE, in multiple variations:

• Extend hardware lifecycles
• Reduce unnecessary refreshes
• Consolidate resources
• Repurpose existing spaces
• Deliver services more efficiently
• Focus on outcomes rather than infrastructure ownership

For many leaders, sustainability is becoming as much about financial sustainability as environmental sustainability.

Looking ahead: the opportunity for IT leaders

There is a clear requirement from institutions to better understand their operations, needs and investments, and make smarter decisions based on real evidence. And the IT leaders embracing this new operating model will lead their institutions into the next phase of modernization and success.  

Whether considering AI investments, software licensing, device provisioning, lab utilization, or student computing access, university leaders increasingly need evidence-based approaches that help them:

• Eliminate waste
• Right-size investments
• Improve student experiences
• Demonstrate ROI
• Support institutional resilience

EDUCAUSE 2026 highlighted a sector that is becoming more deliberate, more analytical, and more focused on value than ever before. The combined LabStats and AppsAnywhere offer for higher education couldn’t land at a better time for the sector. Together, we can uniquely help campus computing meet actual student demand, using a combination of data insight into how hardware, software and labs are being used and providing more efficient ways to deliver IT provision on and off campus.  

As we move into 2027, we remain committed to helping institutions navigate the challenges of balancing innovation with financial reality. We do that by enabling institutions gain the insight, data, and collaboration to ensure every technology investment contributes meaningfully to institutional success.