Two Doctors and a Twist — Raising the Bar: What Every Parent Should Know Before High School

Welcome back Dr. Jamie. Over the next 12 weeks we are featuring educators who are making a difference. In this episode, Dr. Marilyn Carroll and Dr. Jamie Chesler sit down with Dr. Teresa Wilburn — educational psychologist, retired high school counselor, Spelman graduate, author, and lifelong advocate for students and families. Drawing on decades in elementary teaching, school counseling, and administration (including assistant principal roles at St. Pius and Norcross High School), Dr. Wilburn shares why middle school is the most overlooked and most critical window in a child’s development.

The conversation covers the drop-off in parental engagement after elementary school, why kids actually need more attention in the middle and high school years, and how sports and extracurriculars build the teamwork skills that carry into adult work life. Dr. Wilburn also reflects on her years serving on the Bill & Melinda Gates Scholarship Foundation Committee, the growing role of technology and AI in the classroom, and why she believes the human connection at the heart of education can’t be automated away.

She discusses her Amazon bestseller Middle School University  — a year-by-year journal and parent guide from 6th through 12th grade — along with her newest release, From Vision to Victory, and two upcoming projects: a new chapter on NIL (name, image, and likeness) for student athletes, and Bridge to Badge, a mentorship program for school resource officers.

Look for more of Dr. Wilburn’s story and wisdom in the July issue of LIV Magazine.

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Twelve episodes. One question. What still matters when everything is automated? In this series finale, Dr. Marilyn Carroll synthesizes the through-line that ran beneath every conversation — governance, accountability, workforce, education, and executive leadership — and arrives at three constants: accountability must be held by a named human, trust cannot be systematized, and meaning is made, not generated. BCG's research found that 70% of AI transformation success is due to people and processes. Only 10% is the algorithm. The human architecture was always the constraint. AI just made it impossible to ignore. This episode is a challenge, a reflection, and a charge. For every leader in all 19 countries and 400+ cities, this show reaches — this one's for you.

What still matters…when everything is automated?

That’s the question we’ve been building toward this entire series.

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The executive role was built for a world of information scarcity. AI is systematically dismantling the advantages that made executives valuable — data access, analytical horsepower, and institutional knowledge. So what remains? In this episode, Dr. Marilyn Carroll names the three capabilities that become the new executive premium in an AI-augmented world: systemic judgment, narrative leadership, and moral stewardship. Drawing on McKinsey's January 2026 research, MIT Sloan, and Harvard Business School, this episode is a direct challenge to every senior leader: if you stripped away what AI can now do, what would be left? Whatever the answer — that's your value proposition for the next decade. This episode helps you develop it.

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95% of enterprise AI pilots fail to deliver measurable business impact — not because of the technology, but because of governance gaps, integration gaps, and systems designed for normal conditions rather than real ones. In this episode, Dr. Marilyn Carroll examines what happens to AI governance and leadership systems when the pressure is actually on: speed, uncertainty, high stakes, and incomplete information all at once. She identifies the three failure patterns that collapse systems in a crisis — and lays out the three design principles of resilient organizations: simplicity, pre-commitment, and rehearsal. The organizations that hold under pressure built for it before they needed it. This episode shows you how.

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Students using AI tools answered 48% more problems correctly. They scored 17% lower on concept understanding. More output. Less comprehension. That paradox is at the center of AI in education — and almost no institution has yet fully reckoned with it. In this episode, Dr. Marilyn Carroll moves past the cheating debate and asks the harder question: when intelligence is abundant and cheap, what is education actually for? With 84% of college faculty reporting that AI is reducing critical thinking and deep engagement, and a generation entering the workforce shaped by cognitive offloading, the implications for leaders and organizations are real and immediate. This isn't just a school problem. It's a leadership pipeline problem.

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Everyone is talking about the future of work.

Executives.
 Boards.
 Governments.
 Consultants.
 HR leaders.

The conversation is everywhere.

But here’s the problem:

Most organizations are discussing workforce disruption…
 without actually designing for it.

The World Economic Forum projects:
 → 170 million new jobs created globally
 → 92 million jobs displaced

And many leaders hear that and think:

“Well… net positive.”

But that is not how workforce transitions work.

Because the people losing jobs are not automatically qualified for the new ones being created.

That gap?
 That transition?
 That redesign challenge?

That is where leadership either succeeds…
 or fails.

Today we’re talking about the difference between workforce awareness…
 and workforce strategy.

Because awareness is not strategy.
 Discussion is not design.
 And awareness without design becomes deferred management.

Leaders know the workforce is changing.

They talk about it constantly.

AI transformation.
 Reskilling.
 Workforce disruption.
 Jobs of the future.

The language is everywhere.

But most organizations are still operating with workforce models built for stability.

Not acceleration.

And that gap?

Is becoming one of the biggest leadership failures of the AI era.

Because awareness…

is not strategy.

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This conversation with Charity McDonald reminded me why the future of work cannot be reduced to AI tools, job titles, or credentials alone.

The real shift is deeper.

It is about valuable visibility.
It is about demonstrating what you know.
It is about becoming the solution.
It is about building a life and career where contribution, identity, creativity, community, and compensation can finally meet.

Charity brought such a powerful perspective to Two Doctors and a Twist — especially for graduates, professionals in transition, and leaders trying to understand what comes next.

The future of work will not only ask, “What can you do?”

It will also ask, “Who are you becoming — and how are you contributing?”

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The Learning Management System tracks completion.

It does not build capability.

And in the AI era…

That gap is becoming impossible to ignore.

Organizations are asking:

“Did they complete the training?”

The real question is:

“What can they actually do?”

According to World Economic Forum:

→ 77% of employers are investing in AI-driven learning
 → Yet 63% still cite skill gaps as their biggest barrier

That’s not a technology issue.

That’s a design issue.

We need to move from:

Learning Management → Learning Intelligence

Completion is not a capability.

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Welcome back to 2 DOCTORS and a Twist - Operating at the Edge — the show where we stop managing AI and start leading through it. I'm Dr. Marilyn Carroll, and today we're doing something I've been building toward since Episode One. We're not going to talk about which skills leaders should develop for the AI era. That's the wrong question. Every conference is asking it. Every LinkedIn post is answering it. The right question is this: What does leadership do that no AI system — however capable, however advanced — can do in its place? Not because of current limitations. Not because the models aren't smart enough yet. But because of what leadership fundamentally is. That's where we're starting today.

A few years ago, I worked with a leader — let's call her Dana.
Dana had spent nearly a decade being exceptional at what she did. She was sharp, she was dependable, and everyone around her knew it. When the opportunity came for a senior leadership role — a real step up — she went after it. And she got it.
And the day she got it, she was on top of the world.
But something began to happen in the weeks that followed. Her team was navigating a significant organizational shift — the kind that creates real uncertainty. People had questions. Not just operational questions — existential ones. What does this mean for us? Where are we going? Does leadership even see us right now?
And Dana… went quiet.
Not because she didn't care. She cared deeply. But she was doing what she had always done: putting her head down, working the problem, trying to figure it all out before she communicated anything. That's what had made her great at the role she used to have.
But this wasn't that role.
Her team needed something she didn't know how to give yet — not information, not a polished plan, not a memo with bullet points. They needed orientation. They needed someone to stand with them in the uncertainty and say: I see you. I know this is hard. Here's what I believe about where we're going — and here's why your work still matters.
They needed meaning. And meaning requires a narrator. A person who is in it, not just managing it.
By the time Dana and I started working together, her team had already started to drift. Not dramatically. Not in ways that showed up in a dashboard. But the trust had quietly cracked. And she couldn't figure out why, because by every metric she could measure, she was doing her job.
She was. She just wasn't doing the new job.
That's the thing about leadership transitions that no one tells you clearly enough: the role you earned is not the same as the role you're now required to inhabit. And the gap between those two things? That's where leaders get lost.
That's what today's episode is about.

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"Don't worry — there's a human in the loop." It's become the reassurance phrase of AI governance. But what if the human in the loop isn't actually doing anything? A 2025 EU Joint Research Centre study of 1,400 professionals found that human reviewers showed no tendency to choose fair AI recommendations over biased ones — and consistently deferred to what they perceived as organizational interests. In this episode, Dr. Marilyn Carroll dismantles the myth of human oversight and replaces it with something more honest: the four conditions required for meaningful oversight, the documented reality of automation bias, and a new standard — not "human-in-the-loop" but "human accountable for the loop." The difference is everything.

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