GettyArtificial intelligence is reshaping the landscape of higher education. Institutions are launching innovative pilots across their campuses to enhance academic advising, improve facility management, and accelerate complex research. However, a significant gap remains between testing a new tool and embedding it into the core fabric of a university.Moving from isolated experimentation to campus-wide production requires more than just advanced technology. According to research highlighted in the MeriTalk Accelerate AI in Higher Ed report, aligning people, processes, and platforms, the “three Ps of scale,” is vital for success.1 While 97% of higher education leaders say getting AI right is essential to student success just 12% of institutions have managed to scale AI across multiple workflows.2 The majority, 87%, are more likely to start a new pilot than expand an existing one often due to challenges in governance, data quality, and integration.3 These statistics underscore that sustainable, scalable AI is possible only with clear strategies covering workforce development, process improvements, and robust platforms.A leading example is Texas Christian University (TCU) and their AI (Accelerating Institutional AI) initiative, where the university partnered with Dell Technologies to design and deploy a robust AI and high-performance computing environment. From the beginning, TCU’s approach reflected best practices from the research findings: design pilots with clear, measurable outcomes and tie them to institutional rollout. With Dell AI Factory with NVIDIA, TCU created a scalable foundation by modernizing its compute and storage resources and embedding advisory services to address the unique needs of research and learning.Governance was also central. As the MeriTalk study stresses, strong, actionable policies around privacy, ethics, and academic integrity are critical to building institutional trust and supporting responsible AI use. Dell conducted a series of workshops with the TCU team to discuss governance concerns and identify appropriate use-cases, to ensure that faculty, researchers and students would access AI resources within a framework designed for long-term growth and accountability.Finally, building an AI-fluent workforce — identified as one of the top three drivers for scaling AI — became a campus-wide priority at TCU. Training, dedicated staff advocates, and collaborative environments equip everyone from students to faculty with the skills and support needed to move beyond pilots and realize the full potential of artificial intelligence. By focusing on these proven areas, TCU and other leaders are transforming pilot projects into sustained innovation, driving discovery beyond the classroom and creating connected, future-ready campuses.The Shift from Sandbox to ScaleUniversities excel at innovation. Many departments are currently running localized artificial intelligence experiments with great success. Nearly 43% of AI pilots in higher education have driven research acceleration and discovery, with another 43% advancing academic advising.4 Personalized learning and tutoring follow closely at 40%, matched by 40% achieving early wins in facilities management.5 These results from the MeriTalk research show that targeted pilots are already delivering tangible benefits across diverse campus initiatives.Despite these early wins, scaling these initiatives organization-wide presents unique challenges. Many institutions find themselves launching new pilots rather than expanding existing ones. When good pilots stall, it is rarely due to a lack of ambition. The primary hurdles include poor data quality, difficulty integrating with existing legacy systems, and insufficient cybersecurity planning.To overcome these barriers, higher education leaders must design with intent. MeriTalk’s research shows that poor data quality, integration difficulties, and insufficient security are the top three reasons pilots stall or fail. Nearly 55% of leaders are concerned about data privacy and security risks, 52% worry about academic integrity and 47% fear the loss of critical thinking as artificial intelligence tools proliferate.6 By tying pilot programs to clear, measurable outcomes, institutions can create a viable path for institutional rollout, ensuring that technology investments directly support student success, research excellence, and operational efficiency.Shared Platforms Drive Discovery Beyond the ClassroomArtificial intelligence offers value that extends far beyond generative text tools in the lecture hall. Shared platforms enable institutions to unify data from student information systems, research laboratories and campus operations. This consolidation empowers researchers to process massive datasets, model complex climate scenarios and sequence genomes at unprecedented speeds.When universities treat artificial intelligence as a shared campus resource, they break down departmental silos. A unified infrastructure allows the IT department to provide high-performance computing capabilities to a diverse user base while maintaining strict security controls. This operational excellence reduces IT complexity, lowers the total cost of ownership and frees up vital budget for core academic priorities.The Three Pillars of Scalable InnovationScaling trusted artificial intelligence requires a comprehensive strategy rooted in data and experience. The MeriTalk research highlights that 91% of higher education leaders already see productivity gains from generative AI, yet only 12% have scaled AI across multiple workflows.7 As institutions strive for broader adoption, success over the next five years will depend on three critical factors: scalable, secure infrastructure, which is the top enabler for 49% of surveyed leaders, actionable governance frameworks that address privacy and academic integrity, and a campus-wide effort to build an AI-fluent workforce, a capability that 79% of institutions are actively exploring.8 By prioritizing these areas, universities can overcome the barriers that have caused 87% of AI projects to stall at the pilot phase and move toward institution-wide impact.9Scalable And Secure InfrastructureLegacy infrastructure often lacks the capacity to support modern data demands. Expanding compute and storage capabilities is the most impactful step an institution can take to prepare for widespread adoption. By deploying scalable, secure infrastructure, universities can host analytics workloads exactly where they run best. Solutions from Dell provide the foundation for these modern digital campuses, delivering resilient compute and storage resources that grow alongside the institution.Security must remain a top priority as these environments expand. A zero-trust security framework protects sensitive research data and student records from emerging cyber threats. This defense-in-depth approach ensures compliance with strict data privacy regulations while maintaining the collaborative spirit of academia.Actionable GovernanceHigher education audiences are highly sensitive to ethics, data privacy, and academic integrity. Scaling technology successfully requires strong, actionable governance. Universities must establish clear policies that guide how faculty, staff, and students use these new capabilities.Setting transparent guidelines builds institutional trust. It allows researchers to adopt advanced tools responsibly, knowing their work aligns with compliance standards. Governance frameworks also ensure that artificial intelligence remains an assistive, human-centered technology that empowers educators rather than replacing them.An AI-Fluent WorkforceTechnology alone cannot transform a campus. Building an AI-fluent workforce is essential for long-term success. Institutions must empower informal advocates and assign staff leads to champion adoption across different departments.Providing training and establishing safe sandbox environments allows faculty and staff to build confidence with new tools. When academic teams understand how to take advantage of data-driven insights effectively, they can improve student retention, streamline administrative workflows, and focus on delivering exceptional educational experiences.Take The Next Step in Your TransformationWe believe in the power of technology to help academic communities move forward. Upgrading your core infrastructure ensures your institution remains agile and ready for the future.To begin scaling trusted artificial intelligence on your campus, start by assessing your current environment to identify data silos and security gaps. Work with trusted partners to define clear goals and build an executive roadmap tailored to your specific needs. By modernizing your infrastructure, strengthening governance, and empowering your people, you can turn artificial intelligence potential into real progress.Learn More: How AI Leaders Are Getting ResultsThis article draws on newly released research from the MeriTalk "Accelerate AI in Higher Ed" research and infographic. These findings highlight how institutions are turning pilots into production by investing in scalable, secure infrastructure, actionable governance, and upskilling their teams for an AI-fluent future. To explore detailed recommendations, the top success drivers, and what higher education IT leaders say about scaling AI in 2030 and beyond, view the full infographic here: Accelerate AI in Higher Ed InfographicTo learn more about how Dell solutions support higher education, visit Dell.com/HiED