Dr. Emmanuel Lalande
From admissions automation and predictive analytics to personalized learning and AI-powered tutoring, artificial intelligence is no longer theoretical, it is operational. At large institutions, AI-driven chatbots and enrollment algorithms have already improved student engagement and reduced summer melt. Meanwhile, HBCUs, particularly smaller and underfunded ones, risk being left behind.
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Dr. Emmanuel Lalande
From admissions automation and predictive analytics to personalized learning and AI-powered tutoring, artificial intelligence is no longer theoretical, it is operational. At large institutions, AI-driven chatbots and enrollment algorithms have already improved student engagement and reduced summer melt. Meanwhile, HBCUs, particularly smaller and underfunded ones, risk being left behind.
The imperative for HBCUs to act now is not about chasing trends about survival, relevance, and reclaiming leadership in shaping the future of Black education.
AI as a Force Aligned with the HBCU Mission
Artificial intelligence, when developed and implemented with intention and ethics, can be one of the most powerful tools for educational justice. HBCUs already do more with less. They enroll 10% of Black students in higher education and produce nearly 20% of all Black graduates. These institutions are responsible for over 25% of Black graduates in STEM fields, and they produce a significant share of Black teachers, judges, engineers, and public servants.
The power of AI can amplify this legacy.
- Predictive analytics can flag at-risk students based on attendance, financial aid gaps, and academic performance, helping retention teams intervene before a student drops out.
- AI chatbots can provide round-the-clock support to students navigating complex enrollment, financial aid, or housing questions.
- AI tutors and adaptive platforms can meet students where they are, especially for those in developmental math, science, or writing courses.
- Smart scheduling and resource optimization tools can help HBCUs streamline operations, offering courses more efficiently and improving completion rates.
For small HBCUs with limited staff, outdated technology, and tuition-driven models, AI can serve as a strategic equalizer. But accessing these tools requires intentional partnerships, resources, and cultural buy-in.
The Philanthropic Moment: A Unique Opportunity
The recent announcement from the Bill & Melinda Gates Foundation that it plans to spend its entire $200 billion endowment by 2045 presents a monumental opportunity. The foundation has declared a sharpened focus on “unlocking opportunity” through education, including major investments in AI-powered innovations in K-12 and higher education, particularly in mathematics and student learning platforms.
One such investment is in Magma Math, an AI-driven platform that helps teachers deliver personalized math instruction. The foundation is also actively funding research and development around how AI can close opportunity gaps in postsecondary education and increase economic mobility. Their call for “AI for Equity” aligns with the HBCU mission like no other.
Now is the time for HBCUs to boldly approach philanthropic organizations like the Gates Foundation as strategic partners capable of leading equity-driven AI implementation.
Other foundations should follow suit. Lumina Foundation, Carnegie Corporation, Kresge Foundation, and Strada Education Network have all expressed interest in digital learning and postsecondary success. A targeted, collaborative initiative to equip HBCUs with AI infrastructure, training, and research capacity could be transformative.
Tech Industry Engagement: From Tokenism to True Partnership
- The tech industry has begun investing in HBCUs, but more is needed.
- OpenAI recently partnered with North Carolina Central University (NCCU) to support AI literacy through its Institute for Artificial Intelligence and Emerging Research. The vision includes scaling support to other HBCUs.
- Intel has committed $750,000 to Morgan State University to advance research in AI, data science, and cybersecurity.
- Amazon launched the Educator Enablement Program, supporting faculty at HBCUs in learning and teaching AI-related curricula.
- Apple and Google have supported HBCU initiatives around coding, machine learning, and entrepreneurship, though these efforts are often episodic or branding-focused. What’s needed now is sustained, institutional investment.
- Huston-Tillotson University hosted an inaugural HBCU AI Conference and Training Summit back in April, bringing together AI researchers, students, educators, and industry leaders from across the country. This gathering focused on building inclusive pathways in artificial intelligence, offering interactive workshops, recruiter engagement, and a platform for collaboration among HBCUs, community colleges, and major tech firms.
We call on Microsoft, Salesforce, Nvidia, Coursera, Anthropic, and other major EdTech firms to go beyond surface partnerships. HBCUs are fertile ground for workforce development, AI research, and inclusive tech talent pipelines. Tech companies should invest in labs, curriculum development, student fellowships, and cloud infrastructure, especially at HBCUs without R1 status or multi-million-dollar endowments.
A Framework for Action Across HBCUs
To operate AI within the HBCU context, a few strategic steps can guide implementation:
1. AI Capacity Building Across Faculty and Staff
Workshops, certification programs, and summer institutes can train faculty to integrate AI into pedagogy, advising, and operations. Staff training can ensure AI tools support, not replace, relational student support.
2. Student Engagement Through Research and Internships
HBCUs can establish AI learning hubs where students gain real-world experience developing or auditing algorithms, especially those designed for educational equity.
3. AI Governance
Every HBCU adopting AI must also build frameworks for data privacy, transparency, and bias prevention. As institutions historically rooted in justice, HBCUs can lead the national conversation on ethical AI.
4. Regional and Consortial Collaboration
HBCUs can pool resources to co-purchase AI tools, share grant writers, and build regional research centers. Joint proposals to federal agencies and tech firms will yield greater impact.
5. AI in Strategic Planning and Accreditation
Institutions should embed AI as a theme in Quality Enhancement Plans (QEPs), Title III initiatives, and enrollment management strategies. AI should not be a novelty, it should be a core driver of sustainability and innovation.
Reclaiming the Future
HBCUs were built to meet an unmet need in American education. They responded to exclusion with excellence. They turned marginalization into momentum. Today, they can do it again, this time with algorithms, neural networks, and digital dashboards.
But this moment calls for bold leadership. We must go beyond curiosity and into strategy. We must demand resources, form coalitions, and prepare our institutions not just to use AI, but to shape it.
Let them define what culturally competent, mission-driven artificial intelligence looks like in real life, not in theory.
And to the Gates Foundation, Intel, OpenAI, Amazon, and all who believe in the transformative power of education: invest in HBCUs. Not as charity, but as the smartest, most impactful decision you can make for the future of American innovation.
Because when HBCUs lead, communities rise. And with AI in our hands, the next
level of excellence is well within reach.
Dr. Emmanuel Lalande currently serves as Vice President for Enrollment and Student Success and Special Assistant to the President at Voorhees University.
