The 2026 EDUCAUSE Workforce Report examines how higher education technology and data professionals are navigating and adapting to sustained, rapid change. Based on survey data from 1,323 respondents across 761 institutions and 14 focus group participants, the report shifts focus from what is changing to how professionals are responding, and in some cases, actively shaping that change.
It explores five core questions:
- How are institutional priorities shifting?
- What drives or undermines confidence in the strategic direction?
- How is change affecting workload and retention?
- How are team roles evolving?
- What skills are most critical now and in the near future?
Key Takeaways from the Report
Here’s what the data revealed across higher education technology and data teams.
- Artificial Intelligence (AI) strategy is the #1 area of increased institutional emphasis — by a wide margin.
Among respondents reporting strategic priority shifts, 91% cited increased emphasis on AI strategy, outpacing cost reduction (78%), cybersecurity (77%), digital innovation (71%), and even student success and retention (69%). This makes AI not just one of many priorities, but the defining strategic force reshaping higher education right now. - External pressures, not student needs, are driving strategy.
The top drivers of strategic change were emerging technologies like AI and automation (61%), financial constraints (46%), and external economic or political conditions (43%). Notably, student-centered concerns like changing student needs (26%) and enrollment pressures (29%) ranked much lower, signaling that urgent external threats are crowding out proactive student-focused planning. - Teams are absorbing institutional change internally, and straining under it.
The most common team adaptations to shifting priorities were adopting new tools (69%), taking on new responsibilities (62%), and reprioritizing projects (61%). Only 2% reported no significant changes. Critically, 41% of respondents said job satisfaction had decreased as a result of these compounding shifts. - Unaddressed workloads are crippling strategic capacity.
Only 12% of respondents reported no significant workload challenges. A full 50% said their institution had taken no action to address workload issues. The consequences are steep: 57% of those in unaddressed-workload situations said their team had shifted toward reactive/operational work, 55% reported slowed progress on long-term goals, and 43% had delayed or paused strategic initiatives entirely. Nine percent noted burnout and low morale as additional outcomes. - AI preparedness is a major gap, even as demand surges.
While 73% of respondents said their team would need to support AI strategy and responsible use in the next 1–2 years, only 5% felt fully prepared to do so. A majority (58%) felt only somewhat prepared, and 14% felt not prepared at all. This gap represents one of the report’s most urgent findings. - Student success is the top driver of strategic confidence.
Among those feeling positive about their institution’s strategic direction (62% of respondents), the leading confidence factor was a focus on student success and learning (49%), followed by strong leadership (30%) and alignment between strategy and actions (28%). This outranked even a clear institutional vision and transparent communication. - Roles are growing in scope, speed, and complexity, nearly universally.
Only 4% of respondents said their work had not significantly changed in the past 2–3 years. The most common changes were more tool/technology integration (59%), broader scope of responsibilities (51%), and a faster pace of work (42%). Notably, 71% of those whose teams had prioritized AI strategy reported higher job satisfaction, suggesting that meaningful AI engagement can be a positive force. - Human-centered competencies are as critical as technical skills.
When asked about the most critical professional competencies, respondents ranked adaptability and agility (46%), communication (39%), collaboration (36%), and continuous learning (36%) above technical skills like data-driven decision making (14%) and innovation (17%). The report frames these “human edge” skills as both increasingly important and difficult for AI to replicate. - AI skills dominate both current needs and anticipated gaps.
In open-ended responses, AI was the most frequently mentioned skill, covering tool application, AI literacy, prompt engineering, ethics, governance, and AI for teaching and learning. Respondents also acknowledged the uncertainty: “We know AI will impact us, but we don’t know how. So we are trying to upskill as quickly as we can, hoping we’re investing in the right thing.”
Best Practices to Apply
Use these strategies to turn report insights into action at your institution.
- Tie every strategic priority back to student success.
Since a focus on student success is the single strongest driver of employee confidence in institutional direction, leaders should explicitly and consistently connect AI investments, efficiency initiatives, and structural changes back to how they benefit students. This framing builds buy-in across all roles. - Protect strategic time as a non-negotiable resource.
With 57% of teams in workload-strained environments defaulting to reactive/operational work, institutions must actively carve out and protect time for long-term strategic work. This means clarifying priorities (not everything can be #1), reducing initiative sprawl, and resisting the urge to add responsibilities without removing others. - Act on workload challenges, don’t just acknowledge them.
The data is stark: institutions that take no action on workload see higher burnout, turnover risk, and stalled strategy. Concrete actions, whether staffing additions, workflow automation, role restructuring, or simply stopping lower-value work, matter far more than sympathy. - Build structured AI upskilling programs now.
Given the 72% gap between needing to support AI strategy and being fully prepared to do so, institutions should invest in deliberate, structured AI learning pathways. CampusGuard’s Information Security Awareness training course includes modules on AI security and managing AI risks, along with 20 other modules, to help your staff safeguard sensitive data, maintain compliance, and prevent costly cyber incidents. - Develop AI governance and responsible-use policies proactively.
With teams being asked to support AI strategy and responsible use as the #1 near-term institutional priority, and with many still feeling underprepared, institutions should develop clear, accessible AI governance frameworks, covering ethics, data privacy, and appropriate use —before gaps become risks. - Reframe change as an opportunity where possible, and acknowledge fatigue where it’s real.
The report notes that some teams found the current environment of change to be a catalyst for rethinking old approaches, accelerating automation, and building cross-unit collaboration. Leaders should actively engage teams in identifying where change is adding value and be honest when it’s simply adding strain. - Shift teams from service providers to strategic partners.
One of the report’s most resonant practitioner insights: “The greatest impact usually comes from shifting the focus rather than just increasing the volume of work… your team can become a high-impact force by moving from being service providers to strategic partners.” This reframe is particularly relevant for IT and data teams seeking greater institutional influence.
Final Thoughts
The 2026 EDUCAUSE Workforce Report is ultimately a story about teams absorbing enormous institutional pressure, often quietly, and at great personal cost. The compounding effects of AI adoption demands, financial uncertainty, expanding workloads, and shifting priorities are real, measurable, and, in many cases, going unaddressed.
The report is careful not to frame this moment as only a crisis. For teams with strong leadership, clear connections to student mission, and the space to engage meaningfully with AI and innovation, this period of disruption is also a genuine inflection point.
The institutions that will emerge strongest are those that invest now in the human capabilities that no technology can replace: adaptability, collaboration, communication, and purpose-driven work. The path forward isn’t simply adopting the right tools. It’s building the right conditions for people to use them well.
Looking for guidance on how to design and adopt AI strategies in your institution? CampusGuard can help! Contact us to learn more and get started.
