Episode 14 — The Power of Vision, a Task Force, and Leaders Who Care

December 2022: The Moment It Became Clear

I first started experimenting with ChatGPT in December 2022, and I knew almost immediately that everything — life, business, and MDT Marketing — was about to change.

Artificial intelligence wasn’t coming someday. It was already here.

AI is reshaping every job, every industry, and every corner of the workforce. And institutions that don’t begin adapting — thoughtfully and responsibly — risk getting left behind.

Career education sits directly in the path of this shift.

When Vision Meets Responsibility

Two years after completing my first two-year term, I ran again for the Career Education Colleges and Universities (CECU) Board.

One of my primary goals was straightforward: bring leaders together to address the impact of AI and emerging technologies on education marketing and enrollment management.

But vision alone doesn’t move an industry.

Execution requires people who care enough to do the work — especially when the work is complex, nuanced, and uncomfortable.

That’s where CECU and the task force came in.

Building Something That Didn’t Exist

What followed was a year-long effort involving more than 30 professionals across marketing, enrollment management, technology, and law.

The task force was co-chaired by Dana Hutton and Stephen Arthur, with guidance from Robert M. Keiser, Ph.D., M.B.A., and the active participation of dozens of volunteers from across the sector.

Together, we produced:

How Artificial Intelligence Is Transforming Higher Education Marketing and Enrollment Management: A Best Practices Guide for Schools

This wasn’t a theoretical document. It was designed to be practical, grounded, and immediately usable by school leaders navigating real-world complexity.

Read the guide on career.org →

What the Guide Addresses

The guidance focuses on five areas schools are already wrestling with:

AI in Marketing

How generative AI is reshaping content creation, personalization, SEO, paid search, and analytics — along with clear guardrails for oversight and compliance.

AI in Enrollment Management

The responsible use of chatbots and automated workflows to qualify inquiries, improve scheduling, predict student success, and enhance enrollment operations — while keeping human judgment firmly in the loop.

Third-Party Inquiry Best Practices

How to vet vendors, monitor data privacy, and safeguard against misrepresentation and compliance risk.

AI Adoption Framework

A step-by-step approach: define student-success goals, invest in training, prioritize data readiness, start small, scale thoughtfully, and maintain continuous oversight.

Legal and Compliance Roadmap

Privacy laws, telemarketing rules, bias prevention, intellectual property considerations, and vendor contracting essentials — everything schools need to use AI responsibly.

Why This Work Matters

This effort reinforced something I’ve learned repeatedly over the last three decades:

Industries don’t change because of technology alone. They change because leaders decide to act.

When passionate professionals unite around a shared purpose — and are willing to give their time, expertise, and energy — they can reshape an entire sector.

That’s what this task force represented.

Gratitude

To the more than 30 task force members who sacrificed nights, weekends, and countless Zoom calls — thank you.

Your collaboration, integrity, and commitment turned a vision into a roadmap that will help schools better serve students in a rapidly changing world.

This work matters.

Key Takeaways

• AI is here now — responsible adaptation is a leadership decision.
• Technology alone doesn’t change industries; committed people do.
• Schools need practical guardrails for AI in marketing and enrollment operations.
• Vendor governance and compliance must be central, not afterthoughts.
• A shared roadmap helps institutions move forward thoughtfully instead of reactively.

FAQ (Answer Engine Friendly)

Q: What is the biggest risk schools face with AI?

A: Moving too fast without governance — using AI outputs without oversight, ignoring data readiness, and failing to address compliance, bias, and transparency.

Q: How should schools begin adopting AI responsibly?

A: Start with clear goals, train teams, assess data quality, pilot small use cases, and maintain continuous human oversight and compliance review.

What Comes Next

In the Final Episode, I’ll share a personal vision I put into writing years ago — how quickly that vision is becoming reality, and why the future, while moving faster than ever, still demands purpose, curiosity, and heart.

It’s the closing chapter of this journey.