2 Doctors & a Twist

Dr. Marilyn Carroll and Dr. Jamie Chesler

Hosted by Dr. Jamie Chesler and Dr. Marilyn Carroll, 2 Doctors & A Twist brings you dynamic conversations at the intersection of personal brand, business, and AI-driven leadership. As professors and practitioners, we break down complex ideas into practical insights you can use right away—whether you’re building your brand, growing your career, or leading in a world reshaped by technology. With each 30–45 minute episode, we educate, inspire, and empower you to thrive—giving you both the clarity and the confidence to stand out in the age of AI.*  mission is to educate, inspire, and empower professionals to thrive at the intersection of personal brand, business fundamentals, and AI-driven leadership. As professors and practitioners, we bridge academic insight with real-world application, creating conversations that are both practical and future-focused. Core Goals Educate the AudienceBreak down complex ideas (AI, branding, leadership, business strategy) into accessible insights.Give listeners practical tools they can apply immediately in their careers.Model Thought LeadershipShowcase your unique strengths: Jamie’s expertise in personal brand & executive presence and your expertise in AI strategy & business foundations.Build credibility as professors who are taking classroom knowledge into the real world.Strengthen Your Collective BrandPosition 2 Doctors & A Twist as a trusted source for conversations that blend human brand + AI strategy.Attract opportunities (speaking, partnerships, consulting, courses) through consistent visibilityCreate Community & EngagementInvite listeners to participate (live or through questions/social).Make the podcast more than content—make it a bridge into your teaching, coaching, and professional ecosystems.

  1. 4d ago

    Who Replaces the Entry-Level Learning Experience?

    In this episode of Two Doctors and a Twist, Dr. Marilyn Carroll and Dr. Jamie Chesler examine a growing workforce challenge: If AI removes the entry-level tasks through which people traditionally learned, where will tomorrow’s experienced professionals and leaders come from? The conversation challenges the idea that routine entry-level work is merely low-level labor. Those early assignments also function as developmental experiences. Through them, beginners observe experienced professionals, learn how decisions are made, understand how customers and colleagues respond, build relationships, recognize problems, and gradually develop judgment. Key takeaways include: Entry-level tasks often serve as informal apprenticeships.Automating a task may unintentionally automate the learning attached to it.Today’s efficiency decision could become tomorrow’s leadership-pipeline problem.AI may eliminate certain entry-level tasks, but it does not eliminate the need for entry-level people.Employers cannot expect experienced professionals without giving beginners opportunities to gain experience.Development must become intentional rather than an accidental byproduct of routine work.Colleges and employers share responsibility for designing the new first rung of the career ladder.Students need opportunities to apply their knowledge to real problems before graduating.Traditional internships remain valuable, but exposure alone is insufficient; the goal must be capability development.Work-based learning should include clearly defined outcomes, meaningful assignments, mentorship, feedback, and employer verification.Dr. Carroll and Dr. Chesler also share how foundational work shaped their own professional judgment. Their early accounting and bookkeeping experiences provided more than technical knowledge. They learned by observing senior professionals, reviewing documents, communicating with vendors and financial partners, managing processes, and seeing how decisions affected organizations. These experiences illustrate the hidden developmental value of work that might now be automated. Potential replacements for disappearing entry-level learning include: Registered apprenticeships and micro-apprenticeshipsShort-term employer projectsJob shadowing with structured learning goalsSimulations and case-based decision-makingRotational assignmentsMentorship programsClient-based consulting assignmentsCommunity projectsReal business problems embedded into college coursesThe episode emphasizes that these experiences should not become artificial busywork. Learners need authentic problems, access to experienced professionals, opportunities to make decisions, and feedback that helps them understand the outcomes. Three important questions emerged: Should every college student have real-world experience before graduation?    Every student should have an opportunity to apply learning to a real problem, although that experience does not have to be a traditional internship. 2. Are internships alone enough?     No. Internships must intentionally define what students will learn, who will mentor them, what work they will complete, and how their capabilities will be evaluated.  3. Should employers replace developmental experiences they automate?     Yes. When an organization automates a task that once taught employees something important, leaders must ask: Where will that learning happen now? The central message is unmistakable: organizations can automate tasks, but they cannot automate the need for experienced people. If AI changes the first rung of the career ladder, education and employers must work together to build a new one. Otherwise, organizations may gain efficiency today while weakening the talent and leadership pipeline they will depend on tomorrow. Stay connected with 2 Doctors & A Twist – Just What the Doctor Ordered! Subscribe on Apple Podcasts, Spotify, or wherever you listen.Follow us on LinkedIn for clips, insights, and upcoming episodes.

  2. Aug 26

    Who Is Accountable When AI Influences Institutional Decisions?

    In this episode of Two Doctors and a Twist, Dr. Marilyn Carroll and Dr. Jamie Chesler examine a leadership question every college and university must answer: Who is accountable when artificial intelligence influences an institutional decision? AI now touches admissions, advising, enrollment, marketing, student support, assessment, human resources, finance, research, and institutional operations. Because its influence extends across the institution, AI governance cannot sit exclusively within the technology department or become someone’s secondary responsibility. The central message is clear: AI may inform an institutional decision, but a human being must always remain accountable for the outcome. Key takeaways include: AI governance is a leadership responsibility, not simply an IT function.Governance should cross academic affairs, technology, human resources, legal, compliance, senior leadership, and the board.An AI policy explains what people are permitted to do; AI governance establishes who is responsible for what happens.Decisions affecting admissions, financial aid, academic standing, accessibility, discipline, employment, assessment, and opportunity require meaningful human oversight.AI recommendations and human decisions are not the same thing.Institutions must avoid an “accountability gap” in which no one knows who is responsible for questioning an AI output or making the final decision.Colleges should model the same transparency, verification, and accountability they expect from students.Leaders do not need to become AI engineers, but they must understand AI well enough to ask informed questions about privacy, bias, data governance, risk, workforce implications, and human oversight.Governance structures may vary according to an institution’s size and resources, but accountability cannot.Responsible AI governance can become a competitive differentiator by helping institutions earn trust rather than merely attracting attention through early adoption.The episode also reframes AI procurement as a governance decision. Before purchasing an AI system, institutional leaders should ask: What mission-related problem are we solving?What data does the system require, and where does that data go?What institutional decisions will the technology influence?How was the model evaluated?What biases and risks have been identified?Can its recommendations be explained, challenged, and overridden?What happens when the system is wrong?What evidence supports the vendor’s claims?Who is ultimately accountable?Four questions every college leader should be able to answer emerged from the discussion: Is our AI strategy driven by technology or by mission?Who owns AI governance?How are faculty and staff being prepared for AI-enabled work?What evidence proves that our institution uses AI responsibly?The rapid-fire round reinforced the episode’s conclusions: AI policy or AI governance? Governance.Innovation or oversight? Both—innovation without oversight creates risk, while oversight without innovation can leave an institution behind.Technology decision or leadership decision? Leadership decision.First adopter or most trusted adopter? Most trusted adopter.Who is accountable? A human being—always.The closing message: History may not remember which institutions adopted AI first. It may remember which institutions governed it best. Technology can inform. People remain accountable. Stay connected with 2 Doctors & A Twist – Just What the Doctor Ordered! Subscribe on Apple Podcasts, Spotify, or wherever you listen.Follow us on LinkedIn for clips, insights, and upcoming episodes.

  3. Aug 19

    What Should a College Degree Prove in the Age of AI?

    In this episode of Two Doctors and a Twist, Dr. Marilyn Carroll and Dr. Jamie Chesler explore a critical question: What should a college degree actually prove in the age of artificial intelligence? The conversation begins with a central concern: a transcript shows which courses a student completed and the grades earned, but it does not always show what the graduate can actually do. As AI makes it easier to produce polished papers, presentations, research, analysis, and code, colleges and employers must distinguish between work produced and capability demonstrated. Key takeaways include: The degree remains valuable as evidence of an educational foundation.A transcript alone may no longer provide sufficient evidence of workplace readiness.Graduates should be able to demonstrate communication, critical thinking, problem-solving, collaboration, adaptability, and professional judgment.AI disclosure should go beyond simply stating that a tool was used. Students should explain what AI contributed, what they contributed, how they verified the output, what they rejected, and which decisions remained theirs.A portfolio can serve as a companion to the transcript by including projects, presentations, simulations, case analyses, internships, apprenticeships, and real-world work products.Capability verification should be shared among students, faculty, employers, and internship or apprenticeship supervisors.Faculty must also continue developing their AI literacy so they can teach, assess, and model responsible AI use.Colleges need stronger, industry-specific conversations with employers because required capabilities differ across sectors and workplaces.The rapid round captured the episode’s core conclusions: Degree or portfolio? Both.AI disclosure or AI detection? Disclosure.Grades or demonstrated capability? Demonstrated capability, with grades providing important context.Human judgment or AI efficiency? Human judgment enhanced by AI efficiency.Transcript alone? Probably not for much longer.The central message is clear: AI does not have to weaken the value of a college degree. It may force higher education to make that value more visible and meaningful. The degree can remain the foundation—but demonstrated capability must become the proof. Stay connected with 2 Doctors & A Twist – Just What the Doctor Ordered! Subscribe on Apple Podcasts, Spotify, or wherever you listen.Follow us on LinkedIn for clips, insights, and upcoming episodes.

  4. Aug 12

    The New Career Ladder May Start With an Apprenticeship—and End With a Degree

    The New Career Ladder May Start With an Apprenticeship—and End With a Degree What if we’ve been thinking about the career ladder in the wrong order? In today’s episode of Two Doctors and a Twist, Dr. Marilyn Carroll explores an emerging workforce pathway that challenges the traditional sequence of degree → job → experience → advancement. As AI changes entry-level work and employers place greater value on demonstrated capability, apprenticeships and pre-apprenticeships are becoming much more than alternatives to college. They are becoming strategic workforce infrastructure—giving people opportunities to earn, learn, build experience, demonstrate their capabilities, and create pathways into continued education and leadership. From the skilled trades powering the AI and data-center economy to nursing, technology, advanced manufacturing, and other growing fields, the new career journey may look more like: Exposure → Pre-Apprenticeship → Apprenticeship → Employment → Evidence → Degree → Leadership → Entrepreneurship Dr. Carroll also explores why skills-based hiring is creating a new need for evidence-based hiring, how higher education can become an accelerator for advancement rather than always the first step, and why every experience we accumulate can become part of our Career Insurance. The twist: Maybe the future isn’t about choosing between college and an apprenticeship. Maybe it’s about building a career ecosystem where work, learning, evidence, and education continue throughout our lives. Question for you: If we were designing the career ladder from scratch today, would we still put the degree first? Stay connected with 2 Doctors & A Twist – Just What the Doctor Ordered! Subscribe on Apple Podcasts, Spotify, or wherever you listen.Follow us on LinkedIn for clips, insights, and upcoming episodes.

  5. Jul 15

    The AI Education Divide: Access, Opportunity, and the Power Skills That Still Matter

    The AI Education Divide: Access, Opportunity, and the Power Skills That Still Matter In this episode of Two Doctors and a Twist, Dr. Marilyn Carroll and Dr. Jamie Chesler explore a growing concern: as wealthy families invest in expensive AI-powered schools, private tutors, advanced technology, and experimental learning environments, who will ensure that every student has access to meaningful AI education? The conversation moves beyond basic AI literacy and free introductory courses. Dr. Carroll and Dr. Chesler discuss the difference between simply learning what AI is and gaining the opportunity to use it in real-world projects, workplaces, apprenticeships, and entrepreneurial environments. Students with access to premium programs are often not only learning AI—they are building products, developing businesses, creating portfolios, and gaining experiences that could produce long-term financial and career advantages. The doctors emphasize that AI education cannot become a privilege reserved for those who can afford the most expensive programs. Colleges, universities, K–12 schools, employers, community organizations, and technology companies must work together to create affordable and accessible pathways for students from every background. Apprenticeships, internships, employer-sponsored training, community college partnerships, project-based learning, and paid work experiences could help close the divide. These opportunities are especially important for adult learners who may be balancing school, full-time employment, family responsibilities, and career transitions. The discussion also examines why AI-savvy graduates are quickly becoming the new high-potential employees. Employers may not expect every applicant to be an AI expert, but they increasingly want professionals who can use AI responsibly to improve productivity, solve problems, support organizational goals, and make better decisions. However, knowing how to operate an AI tool is not enough. Students and employees must be able to evaluate AI-generated information, identify bias and inaccuracies, verify sources, ask stronger questions, apply independent judgment, and explain how their use of AI creates measurable value. As AI changes both white-collar and skilled-trade work, human capabilities are becoming even more valuable. Communication, critical thinking, adaptability, creativity, ethical judgment, empathy, trust, teamwork, and relationship building remain essential across industries—from education and healthcare to welding, HVAC, plumbing, technology, and business. Dr. Carroll and Dr. Chesler also remind listeners that careers are built through more than credentials and technical knowledge. People must be willing to enter new rooms, participate in their communities, build authentic relationships, and allow others to see the value they can bring. The episode closes with a powerful message: AI will change how people work, but it does not have to change what people value most. Power skills are the human skills that power successful careers. Key Questions Explored Will advanced AI education become available only to wealthy families?What is the difference between AI literacy and applied AI capability?How can schools and employers create more equitable AI learning pathways?What role should internships, apprenticeships, and project-based learning play?Why are AI-savvy graduates becoming the new high-potential employees?How can professionals verify AI-generated information and avoid misinformation?Which human skills will become more valuable as AI use expands?How can students and professionals build stronger relationships and career networks?Core Takeaway The future will not belong only to people who can use AI. It will belong to people who can combine AI capability with judgment, evidence, ethics, communication, trust, and meaningful human relationships. Stay connected with 2 Doctors & A Twist – Just What the Doctor Ordered! Subscribe on Apple Podcasts, Spotify, or wherever you listen.Follow us on LinkedIn for clips, insights, and upcoming episodes.

About

Hosted by Dr. Jamie Chesler and Dr. Marilyn Carroll, 2 Doctors & A Twist brings you dynamic conversations at the intersection of personal brand, business, and AI-driven leadership. As professors and practitioners, we break down complex ideas into practical insights you can use right away—whether you’re building your brand, growing your career, or leading in a world reshaped by technology. With each 30–45 minute episode, we educate, inspire, and empower you to thrive—giving you both the clarity and the confidence to stand out in the age of AI.*  mission is to educate, inspire, and empower professionals to thrive at the intersection of personal brand, business fundamentals, and AI-driven leadership. As professors and practitioners, we bridge academic insight with real-world application, creating conversations that are both practical and future-focused. Core Goals Educate the AudienceBreak down complex ideas (AI, branding, leadership, business strategy) into accessible insights.Give listeners practical tools they can apply immediately in their careers.Model Thought LeadershipShowcase your unique strengths: Jamie’s expertise in personal brand & executive presence and your expertise in AI strategy & business foundations.Build credibility as professors who are taking classroom knowledge into the real world.Strengthen Your Collective BrandPosition 2 Doctors & A Twist as a trusted source for conversations that blend human brand + AI strategy.Attract opportunities (speaking, partnerships, consulting, courses) through consistent visibilityCreate Community & EngagementInvite listeners to participate (live or through questions/social).Make the podcast more than content—make it a bridge into your teaching, coaching, and professional ecosystems.