AI and the Future of Human-Centered Education

Education has always been, at its core, a profoundly human endeavor.

It is shaped by relationships—between educators and students, institutions and families, and across lifelong connections with communities, alumni, and donors. It depends on judgment, care, and trust. And yet, the systems that support those relationships are under increasing strain.

Across educational institutions, from K–12 through higher ed, leaders are navigating growing complexity: rising expectations for personalized experiences, increasing administrative burden, mounting financial pressures, and persistent staffing challenges. The imperative is meeting these pressures sustainably—while preserving the human relationships at the heart of your missions.

At the same time, the pace of technological change is accelerating. The question is no longer whether AI will shape the future of education—it already is. Students, faculty, and staff are all using AI significantly more than they were just a year ago.

But increased use does not yet mean increased impact.

While AI adoption is accelerating, most organizations are still early in their journeys. Newly released research from the Blackbaud Institute shows that while 85% of education and nonprofit professionals are using AI at work, only 10% feel confident it’s actually delivering transformative value.  

We call this the AI effectiveness gap—and closing it will define the next era of education.

At Blackbaud, we believe the opportunity is not simply to make existing processes more efficient. It is to fundamentally rethink how technology supports the work of education—so institutions can operate more sustainably while staying deeply connected to the people they serve.

A Human-Centered Approach to AI

Because education is deeply human, Blackbaud’s approach to AI keeps people at the center—supporting students, educators, staff, and leaders throughout their experience.

AI is not a replacement for the people in education. It is a force multiplier. At its best, it expands your team’s capacity by:

• Reducing administrative and cognitive burden
• Strengthening relationships with students, families, alumni, and donors
• Surfacing insight earlier to support human decision-making
• Acting responsibly—with transparency and oversight

The opportunity is not just to automate tasks. It is to redefine how work gets done—so people can focus on the moments that matter most: teaching, mentoring, engaging, and leading. In that model, AI handles scale. People provide context, judgment, and care. That balance matters.

From Systems of Record to Systems of Intelligent Action

The role of technology must evolve.

For decades, educational institutions have invested in systems that digitize and organize information, improve reporting, and automate tasks. But those systems were not designed to move work forward on their own and often introduced new friction: disconnected platforms, fragmented data, and workflows that pulled educators and staff away from their human-centric work. 

AI introduces a different path forward.

The next generation of education technology is designed to understand context, recommend next steps, and help execute those steps responsibly.

It represents a fundamental shift:

• From disconnected data → to a unified understanding of your students, operations, and mission
• From static reporting → to real-time, contextual insight
• From manual workflows → to intelligent, guided, and sometimes autonomous activity

This is the move from systems of record to systems of intelligent action.

When institutions make this shift, the impact becomes measurable. Using the Responsible AI Institute’s AI Maturity Model, the Blackbaud Institute found that among organizations with more mature AI usage:

• 76% say AI is increasing staff capacity
• 64% report AI is helping to increase fundraising revenue
• 58% report AI is helping increase enrollment
• 53% say AI is streamlining tuition payments and financial workflows

The difference isn’t whether teams are using AI. It’s whether it is integrated deeply and responsibly enough to drive outcomes.

What This Means Across Your Institution

When humans oversee intelligent systems that can take action on their behalf—not just track work and suggest activity—the impact becomes more tangible across every role.

Admissions and Enrollment

Only 15% of students say the information they receive feels truly relevant to them, highlighting a growing gap between admissions outreach and the personalized experiences students and families expect.

AI enables enrollment teams to meet those expectations and move from reactive to proactive by surfacing where engagement is building, where it is dropping, and what to do next. AI can:

• Identify prospective students most likely to enroll
• Initiate the right outreach at the right time
• Automatically personalize communications
• Highlight where prospects are dropping off and suggest solutions

The result is more than efficiency—leading to better fit and more resilient enrollment pipelines. 

Advancement and Fundraising

Across education, fundraising remains strong—55% of K–12 schools and 51% of higher education institutions reported growth last year—but that success is often concentrated among a small number of major donors, creating pressure to scale engagement without adding strain to already stretched teams. 

Advancement has always been rooted in relationships—with alumni, donors, and communities. AI helps fundraisers focus on those relationships by:

• Identifying donors with the highest likelihood to give
• Recommending next-best actions for engagement
• Personalizing outreach at scale
• Maintaining consistent stewardship over time

Impact: Stronger donor relationships and increased fundraising performance—without increasing workload.

Student Success and Retention

The most important moments in education are often the hardest to see—when a student begins to struggle, disengage, or need support. By analyzing patterns across academic, financial, and engagement data, AI can:

• Surface predictive insights to identify at-risk students earlier 
• Recommend proactive, targeted interventions
• Provide better visibility into student progress and where they need additional support

This is where human-centered AI matters most—helping your teams respond more quickly with empathy and care.

Finance and Operations

Financial sustainability is one of the defining challenges in education today. According to NBOA, independent school operating expenses rose 27% over the last four years—outpacing net tuition revenue growth and widening the funding gap in 80% of schools.

Similar dynamics are playing out in higher education, where operating costs grew 3.6% in the most recent year alone, outpacing broader inflation trends and putting sustained pressure on institutional margins. 

This is where AI can have the greatest impact—helping your team gain clearer visibility into financial performance and act with greater precision to:

• Reduce tuition delinquency and increase cash flow
• Forecast and budget more accurately
• Optimize financial aid, scholarship, and tuition strategies
• Identify trends earlier and act more quickly

Impact: Greater financial sustainability and more confident decision-making.

When institutions operate more efficiently, they gain something even more valuable: the ability to invest in their people, their programs, and their mission.

The Future of Education, Accelerated

AI will not change the purpose of education.

Students will still learn through human connection. Institutions will still be defined by their mission. Leaders will still make the decisions that shape outcomes.

But AI can alleviate the friction that stands in the way.

It can give educators time back.
It can help strengthen relationships across students, families, alumni, and donors.
It can empower you to act with greater clarity and confidence.
It can enable more sustainable models in a rapidly changing world.

Educational institutions will not be defined by how quickly they adopt AI—but by how they use it to turn insight into action, action into outcomes, and outcomes into lasting impact.

Learn more about Blackbaud’s approach to Responsible AI here.