What happens when a data scientist who built over 100 enterprise AI solutions for Fortune 500 companies decides to walk away from the money and prestige to tackle student success in higher ed? You get a founder who understands both the power and the limits of AI—and who isn't afraid to say that most chatbots are solving the wrong problem.

In this episode, host Jeff Dillon sits down with Arjun Arora, founder and CEO of Advisor AI, an AI-native student success platform serving over 100 institutions and powering more than a million student inquiries a year. Arjun shares his journey from first-generation college student and immigrant to enterprise AI leader, and why he made the leap into edtech to solve the advising gap he experienced firsthand.

Arjun gets honest about the fear many advisors feel about AI replacing their roles—and explains why that fear is rooted in poorly designed systems. He argues that technology should handle planning and organizing while leaving accountability, evaluation, and human connection to advisors. He reveals why nearly half of students leave programs because they can't see the connection between their degree and their career goals, and how AI can compress what typically takes eight to ten weeks of exploration into fifteen minutes.

From ethical guardrails and bias prevention to the surprising insights he gathered by traveling 30,000 miles and visiting over 200 campuses, this conversation offers a practical, student-first framework for any institution trying to figure out where AI fits into the future of student success.

Key Takeaways

• AI Won't Replace Advisors—Badly Designed AI Might: The fear that AI will replace advisors stems from systems designed to hook users rather than guide them. Products must be built from the start to reinforce human connection, not replace it. Students increasingly want to talk to a real person because they feel isolated and anxious.
• Technology Is Only Part of the Puzzle: The biggest predictor of success isn't the algorithm—it's effective collaboration between technology teams and advising teams. Regular check-ins on goals, progress, and alignment drive 80-90% of results.
• Nearly Half of Students Leave Because They Can't See the Connection: Students drop out when they can't connect their coursework to a clear career path. AI can compress weeks of research (visiting 10 different departments or websites) into 15-30 minutes by assessing interests, mapping career possibilities, and creating degree plans.
• Stop Measuring Vanity Metrics: Tracking how many students a chatbot "served" this month doesn't mean much. Instead, measure milestones: exploring options, mapping skills, connecting with an advisor or mentor. These are the signals that indicate real progress.
• Ethical AI Requires Proactive Guardrails: Ethical AI isn't marketing—it's building systems with zero tolerance for bias, toxic questions, or incorrect recommendations. If a student asks something the system can't answer responsibly, it should instantly direct them to a human counselor, not guess.
• Community Colleges Have More Urgency to Innovate: With limited capacity and intense competition, community colleges need to move faster than four-year institutions. AI platforms must be customizable to two-year roadmaps, not just traditional four-year paths.
• Start with Goals, Not Technology: Before evaluating any AI tool, leaders should ask: are we trying to improve student experience, enrollment, retention, graduation outcomes, or workforce readiness? AI is the Ferrari—but you need to know where you're going first.
• The Global Student Success Crisis Looks Familiar: Inquiries from Australia, the Middle East, and Asia mirror US challenges: better career and college planning supp...

• (00:00:00) - The Signal: Advancing Student Success with AI
• (00:02:12) - In the Elevator With Data Scientists
• (00:03:05) - Adviser AI: Fixing the Advising Gap
• (00:07:08) - Will AI Replace Advice Advisors?
• (00:10:59) - What's the Admissions System's Impact?
• (00:14:30) - What Does Ethical AI Mean for Higher Education?
• (00:17:17) - How Can AI Help Colleges Enclose Students' Future?
• (00:24:22) - How Algorithms Made Higher Ed Worth It
• (00:27:59) - What Does the Student Success Crisis Look Like?
• (00:29:24) - A New Way to Use AI for Student Success
• (00:30:40) - The Signal: Higher Ed Tech News & Insights

What happens when a former gubernatorial candidate, healthcare CEO, and state budget director steps into the college president's office? You get a leader who doesn't accept "that's how higher ed has always done it" as an answer.

In this episode, host Jeff Dillon sits down with Jay Gonzalez, the 15th president of Curry College—a leader whose resume looks nothing like a traditional academic career. From running a $32 billion state budget during the Great Recession to leading healthcare organizations and running for governor of Massachusetts, Gonzalez brings an outsider's perspective to one of higher ed's most pressing challenges: proving the ROI of a college degree.

Gonzalez shares the story behind Curry's audacious job guarantee program, which promises students a job within six months of graduation—or the college pays their federal student loans for up to a year. He explains how Curry is investing in predictive analytics to identify at-risk students before they struggle, launching a new app to modernize the clunky student portal experience, and building a Neurodiversity Center for Excellence that's partnering with major employers.

But perhaps most intriguingly, Gonzalez reveals Curry's Center for Innovation—an entrepreneurial arm designed to move fast, test new revenue streams, and partner with ed tech companies on product development. For small colleges feeling the squeeze of enrollment pressures and limited resources, this episode offers a playbook for thinking differently about sustainability, technology, and student success.

Tune in for a conversation that challenges conventional wisdom about what college leadership can look like—and what colleges can achieve when they stop optimizing the old model and start reinventing it.

Key Takeaways

• Nobody Is Totally in Charge—And That's a Leadership Lesson: Gonzalez draws on his experience in government to navigate higher ed's diffuse power structures. Understanding what faculty, students, parents, donors, alums, and the board each care about—and finding the path that gets as many of them on board as possible—is the core of the job.

• The Curry Commitment: A Job Guarantee That Holds the College Accountable: Curry guarantees students a job within six months of graduation if they meet minimum requirements (GPA, internship, four-year graduation, engagement with career readiness programming). If the college fails, it pays the student's federal student loan for up to a year or provides free grad credits. Few colleges have made this kind of promise.

• Retention Is a Sustainability Strategy: Keeping a student through graduation isn't just a mission win—it's a revenue strategy. Losing a student after year one means three years of lost tuition. Gonzalez frames retention technology (predictive analytics, mental health platforms, data unification) as both a student success tool and a financial imperative.

• Technology Must Serve the Student Experience, Not Add Friction: Students arrive with expectations shaped by Spotify, DoorDash, and TikTok. When they hit clunky portals, paper forms, and outdated workflows, it signals that the institution isn't thinking about them. Curry is addressing this with a new all-in-one app and digital IDs—small moves that reduce friction and modernize the experience.

• AI Is Being Embraced Through Grassroots Experimentation: Rather than a top-down mandate, Curry launched "Amplify AI," a task force with faculty, students, and staff exploring training, forums, and classroom applications. The approach balances academic integrity concerns with the reality that students and the workplace have already moved on.

• The Neurodiversity Center...

• (00:00:00) - Meet Jay Gonzalez, Curry College's President
• (00:01:50) - A College President's Unorthodox Background
• (00:07:24) - The Trump presidency: Experience in higher ed
• (00:16:14) - Faculty and Staff Engage in AI
• (00:20:28) - President Tim Curry on Modernizing the Campus Experience
• (00:22:07) - Curry College's Center for Innovation
• (00:25:52) - How to Make Smart Technology Decisions
• (00:27:54) - Five years from now: What does a student's day look like
• (00:29:48) - The Signal: Higher Ed Tech Insights

Is higher education using AI to simply do the same things faster, or are we on the cusp of a genuine transformation in how students learn, access support, and build opportunity?

In this episode, host Jeff Dillon welcomes Dr. Betheny Gross, Research Director at WGU Labs, for a candid, research-grounded conversation about where AI is actually moving the needle for students—and where it's falling short. With over two decades of experience studying education systems and a current focus on equity-driven innovation, Dr. Gross brings a refreshingly honest perspective to the AI hype cycle.

She shares the story behind STU, WGU Labs' AI-powered student support chatbot, revealing how it evolved from a simple FAQ tool into a "Swiss Army knife" that helps adult learners prepare for mentor meetings, build study schedules, and navigate the hidden complexities of college. But she doesn't stop there. Dr. Gross challenges institutions to think bigger—arguing that the real breakthrough will come when AI lowers costs, raises quality through consistent learning science, and creates fully personalized pathways for every student, especially the 25 million Americans who have never accessed post-secondary education.

From the risks of handing learning over to tech companies to the imperative of designing for those "farthest from opportunity," this episode offers a clear-eyed look at what equity by design actually requires. Tune in for a conversation that separates signal from noise and offers a practical, student-first framework for the future of higher ed.

Key Takeaways

• The Goal Is Public Education, Not a Particular Set of Systems: Dr. Gross carries forward a powerful framing from her time at the Center on Reinventing Public Education: our commitment to making quality education accessible to all is unchangeable, but how we deliver it—including which tools and technologies we use—must always be open to reinvention and improvement.
• AI Is Still in the "Doing Things Faster" Phase: While much of higher ed has focused on using AI to do existing tasks more efficiently, Dr. Gross argues we haven't yet challenged the technology—or allowed it to challenge us—at scale. The real transformation will come when AI fundamentally widens access to learning, not just speeds up existing processes.
• Stu: From FAQ Bot to Swiss Army Knife: WGU Labs' student support chatbot began as a 24/7 navigational tool for adult learners (many of whom are first-generation students studying late at night). It has since evolved to help students prepare for mentor meetings, build weekly study plans, and manage stress—demonstrating how AI can address both logistical and psychological barriers to success.
• Lowering Costs and Raising Quality Are the Twin Levers: For AI to truly expand access, it must help lower the cost of post-secondary learning while making high-quality instruction more consistent. Dr. Gross points to AI-powered learning design platforms and quality-assured assessment tools as promising examples of how to raise the floor for all instructors.
• Test Everything. Benchmark Everything: WGU Labs runs randomized control trials and quasi-experimental studies to compare AI interventions against existing alternatives. Dr. Gross emphasizes the need for benchmarking—measuring how much better a solution performs, not just whether it works at all—to avoid throwing solutions at problems without evidence of meaningful improvement.
• Two Critical Risks to Watch: First, institutions cannot cede ownership of teaching and learning to technology companies. AI tools are not educational systems unto themselves. Second, as point solutions proliferate, institutions must ensure the student experience remains coherent—not a fragmented collection of bolted‑together t...

• (00:00:00) - Will AI Challenge the Higher Ed Sector?
• (00:00:34) - Welcome to The Signal
• (00:01:55) - Getting it out there: The need for higher education reform
• (00:03:58) - The biggest determinants of student success
• (00:05:49) - WGU Labs
• (00:07:52) - The Stu, the Student Report Portal
• (00:16:01) - What's Assessment of AI Programs?
• (00:18:34) - What are the risks of AI-based learning?
• (00:21:09) - What does equity by design look like for students?
• (00:25:49) - How AI is reshaping higher education
• (00:28:19) - The Signal: Higher Ed Tech Insights