The TechEd Podcast

Matt Kirchner
  • 5.0 (42)
  • Technology
  • Updated Weekly

The TechEd Podcast sits at the intersection of technology, industry, innovation and the people who make progress possible. Hosted by Matt Kirchner, each episode features builders, executives, educators, and policymakers shaping what’s next—AI, automation, advanced manufacturing, energy, and the systems behind them. If you care about the future of work, the future of tech, and how talent actually gets built, you’re in the right place.

  1. 12h ago

    Why Are We Training STEM PhDs for Academia When Most Work in Industry? - Tony Boccanfuso, President & CEO of UIDP

    The United States produces some of the best STEM researchers in the world. But there’s a structural mismatch in how many of them are trained: roughly two-thirds of STEM PhDs in fields like engineering ultimately work in industry, while doctoral programs remain largely designed around the academic research environment. In this episode, Tony Boccanfuso, President and CEO of UIDP, joins us to examine the disconnect between doctoral education and the careers most STEM PhDs actually pursue, why industry experience requires more than an internship, and how a shared-investment model could create another pathway for developing the scientists, researchers and innovators driving the U.S. economy. In this episode: Why most STEM PhDs leave academia, but doctoral training still prepares them to stayThe skills even exceptional PhD researchers often have to learn on the jobWhy U.S. research is reaching an inflection pointInside the $90 million experiment putting PhD researchers inside industryA new funding model that gives universities, companies and government “skin in the game”What could make an industry-integrated PhD a competitive advantage for universities3 Big Takeaways from this Episode: 1. The gap between doctoral education and industry isn’t technical expertise; it’s learning to conduct research within the realities of a business. Companies tell UIDP that PhD graduates are exceptionally well prepared technically, but many haven’t worked within multidisciplinary teams, fixed timelines, budgets or stage-gated R&D processes. In industry, even successful research can be discontinued because priorities, markets or economics change, requiring researchers to understand the commercial context surrounding their work. 2. Industry-integrated PhDs can add real-world experience without replacing the rigor or research depth of the traditional doctorate. UIDP’s model requires students to spend at least one year conducting dissertation research at a company-controlled site, with an industry mentor participating alongside their academic mentor. Students also complete an industry-focused certificate covering skills identified by employers, while their industry research becomes part of the dissertation itself. 3. Shared investment could create a new way to expand America’s STEM research capacity while tying more doctoral research to economic and national priorities. UIDP’s roughly $90 million pilot combines university support with NSF and company funding to support 250 STEM PhD students, with participating companies investing $100,000 per student. Demand emerged quickly: UIDP had three dozen university-industry pairs interested before NSF funding was secured and received 145 applications just over a month after the award, suggesting significant interest in another pathway for funding and training PhD researchers. Resources in this Episode: Learn more about UIDPI-Phd Scholars (Industry-Integrated PhD) ProgramRead about the launch of the I-PhD launchConnect with our guest online: Tony Boccanfuso - LinkedIn  |  LinkedIn  |  Facebook More note & resources on the episode page: https://techedpodcast.com/uidp/ We want to hear from you! Send us a text. Instagram - Facebook - YouTube - TikTok - Twitter - LinkedIn

  2. Sep 8

    Apprenticeship 101: The Modern Earn-and-Learn Model Expanding Far Beyond the Trades - David Polk, Director of Apprenticeship at WI DWD

    Apprenticeship is no longer synonymous with the construction trades. Healthcare organizations are training medical assistants and registered nurses through apprenticeship. Schools are using the model to prepare teachers. Employers are applying it to occupations from arboriculture to human resources. At the same time, more high school students are using Youth Apprenticeship to begin building skills and gaining paid work experience before they graduate. So what actually makes something an apprenticeship, and why are so many industries taking a fresh look at a model that has existed for more than a century? David Polk, Director of Apprenticeship at the Wisconsin Department of Workforce Development, takes us inside the modern apprenticeship system. A third-generation apprentice who began his own career as a plumber, David now leads one of the country’s most established state apprenticeship systems and serves as president of the National Association of State and Territorial Apprenticeship Directors. In this episode, we break down Registered Apprenticeship and Youth Apprenticeship, how the earn-and-learn model combines paid employment with structured education and mentorship, and what it takes for employers to participate. David also explains how apprenticeship is expanding into occupations that have never traditionally used the model, how states and the federal government shape apprenticeship policy and funding, and why earlier exposure to hands-on careers matters for the workforce pipeline. In this episode: What separates Registered Apprenticeship, Youth Apprenticeship and other forms of work-based learningHow earn-and-learn flips the traditional education-to-employment modelWhy apprenticeship is expanding into healthcare, education, HR and other occupations beyond the tradesHow employers can use Youth Apprenticeship to build an earlier connection with future talentHow federal policy, state systems and funding influence apprenticeship growth3 Big Takeaways from this Episode: 1. Apprenticeship integrates education and employment instead of treating them as separate stages. 2. Apprenticeship is a workforce development model, not a category of trades careers. 3. Building the workforce pipeline starts earlier than the point of hire. Resources in this Episode: Wisconsin Apprenticeships - Find more about registered, youth and certified pre-apprenticeshipU.S. Department of Labor - ApprenticeshipsWisTRAIN grantsWisconsin Fast Forward grantsHEART Grant for rural healthcareNational Association of State and Territorial Apprenticeship Directors (NASTAD)Email the WI DWD Apprenticeship teamMore notes & resources on the episode page: https://techedpodcast.com/polk We want to hear from you! Send us a text. Instagram - Facebook - YouTube - TikTok - Twitter - LinkedIn

  3. Sep 1

    21 Million Graduates: The Overlooked Workforce Pipeline – CT Turner, President of GED Testing Service

    For decades, the GED has been viewed as a second chance to finish high school. But with employers struggling to find talent and millions of Americans looking for a pathway to better work, that definition is increasingly outdated. More than 21 million people have earned a GED since the program began, with another 150,000+ graduates each year. Many are working adults pursuing the credential for a very practical reason: they want access to a better job, career training or continued education. At the same time, employers in healthcare, manufacturing, energy and the skilled trades are struggling to find talent. GED Testing Service President CT Turner argues those aren’t separate challenges. GED graduates represent an enormous, largely overlooked talent pipeline, and earning the credential should be the beginning of the pathway, not the end. In this episode, we talk about today's GED earners, how AI enables personalized learning for individuals from every walk of life, plus new ways employers can get access to this talent pipeline. In this episode: Meet the GED you didn't know (it's not just a symbolic credential!)One of the country’s largest potential talent pipelines employers are probably overlookingThe pitfall of employers trying to recruit their way out of persistent workforce shortagesPersonalized learning, outcomes, and the next generation of education technology3 Big Takeaways from this Episode: 1. America doesn’t just have a talent shortage. It has a talent access problem. Employers continue competing for the same workforce while a largely overlooked pipeline of GED learners and graduates is ready to move into better careers. CT argues that industries like healthcare need to create new entry points and internal pathways, connecting GED graduates to roles such as phlebotomy or medical assisting that can become the first rung in a much longer career ladder. 2. The economic value of a GED comes from the career pathways it opens. Earning the credential expands opportunity, but CT describes it as a “springboard” rather than the destination. GED Career Connect is putting that philosophy into practice by connecting graduates directly to career training, beginning with eight allied health certification pathways and plans to expand into additional industries. 3. AI in education should be judged by learner outcomes, not technological novelty. GED learners using its AI tutor are spending twice as much time studying, and learners who previously failed a math test doubled their chances of passing on their next attempt after using the app and tutor. For CT, that’s the real promise of AI: using personalization to help more learners persist and succeed, rather than adding another layer of technology that doesn’t change the outcome. Resources in this Episode: Learn more about the GEDNational GED Day - September 16thGED Career ConnectFind more resources on the episode page! We want to hear from you! Send us a text. Instagram - Facebook - YouTube - TikTok - Twitter - LinkedIn

  4. Aug 25

    Start with Retention: Rethinking the Talent Equation – Jason Desentz, CHRO of Toshiba America

    For decades, the standard HR playbook has been attract, retain, develop. Jason Desentz says we should rethink that order. As Chief Human Resources Officer of Toshiba America, Desentz starts with the people already inside the business. In technical fields where experienced employees can take a year or more to train, retention is not simply an HR metric. It affects how quickly a company can grow, respond to new demand and capitalize on emerging markets. That equation is becoming even more important as AI infrastructure drives investment in energy and advanced technology while manufacturers compete for a limited pool of skilled technical talent.  Desentz brings an unusually business-first perspective to HR. He evaluates people decisions against ROI, challenges his team to experiment with AI, and argues that HR leaders need to understand the technology, operations and economics of the companies they serve. At the same time, his approach is deeply human: listen to employees, get creative about the employee experience, invest in development and give people opportunities to try something new. From rebuilding pathways into manufacturing to preparing 6,000 Toshiba employees across the Americas for AI, this conversation explores what changes when people strategy becomes business strategy.  In this episode: Why the return of U.S. manufacturing is colliding with a technical talent pipeline weakened by decades of offshoringHow AI-driven data centers are creating new workforce demand across energy, infrastructure and field serviceWhy Desentz puts retention before attraction when thinking about talent strategyHow Toshiba evaluates the ROI of retaining highly specialized employees who can take more than a year to trainWhy CHROs need to understand the CEO, operations, technology and business economics, not just HRHow high-school co-ops, technical education and experiential learning can rebuild pathways into manufacturing careers3 Big Takeaways 1. Your workforce strategy is part of your growth strategy. Toshiba sees significant opportunity as AI and data-center investment drives demand for energy generation, storage and infrastructure. But capturing that opportunity requires having specialized technical talent available when demand arrives. For a CHRO, workforce capacity becomes a strategic constraint that has to be planned alongside growth. 2. Calculate the business value of retaining technical expertise. Some Toshiba field-service employees require more than a year of training to service complex equipment. Desentz estimates losing one could cost roughly $100,000, before accounting for the time required to rebuild that expertise. That changes the economics of retention: spending creatively to improve an employee’s experience can be far less expensive than replacing specialized capability. 3. Build AI capability by giving employees real problems to solve. Toshiba launched a six-course AI-readiness curriculum through Toshiba University, but Desentz didn’t stop at instruction. His HR organization formed teams to build AI agents around actual business needs, including payroll, attendance and recruiting. Employees learned the technology by applying it, while Toshiba surfaced tools it could potentially deploy in the business. We want to hear from you! Send us a text. Instagram - Facebook - YouTube - TikTok - Twitter - LinkedIn

  5. Aug 18

    How to Fund a Million-Dollar Idea: Inspiring Philanthropic Investment in Education - Michael Frohna, Founder & VP of Humaner

    In 2025, Americans gave $617 billion to charitable causes. If your school has a bold vision for students, the money may be out there. The bigger question is whether you have an idea people want to invest in. Too many organizations approach philanthropy by leading with what they need, chasing the biggest perceived “deep pockets,” or treating the conversation like a transaction. That can make fundraising feel uncomfortable for the person asking and uninspiring for the person being asked. Michael Frohna has spent three decades helping organizations raise millions of dollars, and his approach challenges many of those assumptions. He shares what actually drives people to give, what separates a routine request from a transformational opportunity, and how education leaders can build the kind of vision and relationships that attract serious philanthropic support. In this episode:  Why one donor was upset Michael didn’t ask for enoughWhat $617 billion in annual giving means for educationWhy philanthropists fund a vision, not an equipment listWhat makes some education initiatives inspire major investment while others fall flatHow to move philanthropy from a transaction to a long-term partnership3 Big Takeaways from this Episode: 1. You raise a million dollars by having a million-dollar idea. Philanthropists aren’t looking to fund a need. They’re looking for a vision that shows what their investment can make possible. Before asking for a transformational gift, make sure the idea itself is transformational and that your organization is prepared to deliver on it.  2. The great paradox of fundraising: People dread asking for money, but people love to give. Michael has had million-dollar donors apologize that they couldn’t do more, and the only donor he ever upset was upset because Michael didn’t ask for enough. Stop viewing the ask as taking something from someone and recognize that you may be giving them an opportunity to make an impact they deeply value.  3. The goal isn’t to make someone your donor. It’s to become one of their organizations. Major philanthropy isn’t transactional. Listen for what matters to the giver, bring them close enough to experience the impact for themselves, and continue engaging them long after the gift so they see your mission as part of their own. Get access to more resources! Check out the official episode page for additional resources, links, videos and more. We want to hear from you! Send us a text. Instagram - Facebook - YouTube - TikTok - Twitter - LinkedIn

  6. Aug 4

    How FAME is Rebuilding America’s Manufacturing Talent Pipeline – Tony Davis, National Director of FAME USA (Manufacturing Institute)

    Every manufacturer says they need people. So why, after decades of talking about the skills gap, do so few workforce development models consistently deliver the talent employers actually need? Tony Davis believes the answer is surprisingly simple: employers have to stop sitting on the sidelines. As Assistant Vice President of Program Scaling and National Director for FAME USA, Tony is helping manufacturers across the country build talent pipelines by putting industry in the driver’s seat alongside education. The result is a model that blends paid work experience, technical education and professional behaviors into one employer-led system. In this episode, Matt and Tony explore how the Federation for Advanced Manufacturing Education (FAME) grew from Toyota’s workforce strategy in Kentucky into a national initiative of the Manufacturing Institute, why professional behaviors deserve the same emphasis as technical skills, what visitors experience inside the flagship Kentucky FAME facility, and how employer collaboration is helping scale one of the country’s most successful advanced manufacturing workforce models. In this episode: Why Toyota was the perfect place to launch an efficient, lean, and optimized workforce development modelThe "soft skills vs. hard skills" debateThe unbelievable impact of treating a classroom or lab like a workplaceInside the flagship FAME chapter in KentuckyWhy every manufacturer - not just large enterprises - should get involved in these programs3 Big Takeaways from this Episode: 1. Manufacturers should lead workforce development, not simply participate in it. The most effective workforce programs begin with employers defining the skills they actually need, rather than reacting to a curriculum after it’s already been built. FAME flips the traditional model by making manufacturers true partners in recruiting, curriculum and continuous improvement. 2. Professional behaviors are developed through culture, not coursework. Communication, accountability, leadership and critical thinking aren’t mastered in a single class. They’re reinforced every day through immersion, expectations and real workplace experiences alongside technical training. 3. Building a workforce model is one challenge. Scaling it is another. Expanding from a successful local program to a national network requires more than enthusiasm. Systems, quality assurance and continuous improvement ensure students in every chapter receive the same high standard of preparation. Resources in this Episode: FAME USAThe Manufacturing InstituteNational Association of Manufacturers (NAM)Inside Jefferson County Community & Technical College FAME AMT ProgramConnect with our guest online: FAME USA on LinkedIn |  Connect with Tony on LinkedIn Find more notes & resources on the episode page! We want to hear from you! Send us a text. Instagram - Facebook - YouTube - TikTok - Twitter - LinkedIn

  7. Jul 28

    The Skills-Based Organization: A New Architecture for Talent & Career Growth - Liz Eversoll, CEO of Career Highways

    Static career maps, spreadsheets and disconnected HR systems can't keep pace with how quickly jobs are changing. Today’s leading employers are rebuilding their workforce architecture around skills. As companies rethink talent, career growth and workforce strategy, becoming a skills-based organization is emerging as a fundamental shift in how enterprises structure roles, create career pathways and develop their people. In this episode, Matt sits down with Liz Eversoll, CEO of Career Highways, to explore how a skills-based approach can help large enterprises solve one of their biggest workforce challenges: understanding the talent they already have and responding to change faster. They discuss how organizations can map and continuously improve role architecture in a fraction of the time, deliver personalized learning aligned to each employee’s career goals, and give people greater visibility into lateral moves, upward mobility and entirely new career pathways across the enterprise. At the same time, leaders gain real-time intelligence into workforce capabilities, emerging skills gaps and where learning investments will have the greatest business impact. The conversation also explores the technology making this possible. Liz explains why deterministic AI, grounded in business context rather than public data alone, is essential for trusted workforce intelligence. She argues that as AI automates more routine work, people with deep business context become even more valuable. The future isn’t about replacing employees. It’s about giving them better information, accelerating career growth and freeing them to focus on the work where human judgment creates the greatest value. In this episode: Why 3,500 roles and 230 career pathways can’t live in spreadsheets anymoreThe career lattice: Finding your next role with an 80% skills matchSIGN, Canon and Liquid Insights: The technology behind deterministic AIWhy business context becomes more valuable as AI automates routine work“Talk to your data”: The future of decision-level workforce intelligence3 Big Takeaways from this Episode: 1. Becoming a skills-based organization changes how enterprises compete. Managing talent through job titles and static career paths is no longer enough. Skills-based job architecture gives organizations a living view of their workforce, helping leaders adapt faster, make better workforce decisions and align learning, hiring and internal mobility with changing business needs. It’s a fundamental shift in how large enterprises understand and develop talent. 2. Career health is a competitive advantage. When employees can clearly see where they can go, understand the skills they need and access personalized learning, they’re more likely to build their careers within the organization. That improves retention, preserves valuable business context and helps employers fill critical roles with people who already understand the business instead of constantly competing for outside talent. 3. AI works best when it’s grounded in business context. AI isn’t replacing workforce strategy. It’s making it smarter. Deterministic AI and enterprise knowledge give leaders trusted workforce intelligence while automating repetitive work that slows people down. As AI handles more routine tasks, employees with deep business context become even more valuable because they’re the ones who can interpret insights, improve processes and create lasting business value. Resources in this Episode: Career Highways - Learn more about their technology, solution, AI services and moreFind more on the show notes page! https://techedpodcast.com/eversoll/Connect with our guest online: Career Pathways LinkedIn |  Connect with Liz on LinkedIn We want to hear from you! Send us a text. Instagram - Facebook - YouTube - TikTok - Twitter - LinkedIn

  8. Jul 21

    Digital Twins & Engineering Technology in Women's Health - Dr. Kristin Myers, Professor of Mechanical Engineering at Columbia University

    Imagine a future where healthcare consists of engineers working alongside medical researchers and clinicians to build better ways to measure the body, model disease, predict risk and design more effective diagnostics and treatments. That's what Dr. Kristin Myers is doing in the field of women's health. Digital twins have transformed manufacturing by allowing engineers to simulate systems, predict failures and optimize performance before making changes in the real world. Dr. Kristin Myers believes those same engineering principles could fundamentally reshape healthcare. As a mechanical engineering professor at Columbia University, Myers is applying computational modeling, AI and biomechanics to one of medicine’s most complex frontiers. In this episode, Myers explains why women’s health has historically been difficult to study, how engineering disciplines are beginning to fill decades-long research gaps, and why technologies like digital twins, wearable sensors, machine learning and computational models may dramatically improve diagnosis, treatment and long-term patient outcomes. She also explores what this emerging field means for engineers, educators and the next generation of healthcare innovation. In this episode: Why digital twins could become as important in healthcare as they already are in manufacturing.The engineering challenges that have slowed progress in women’s health research for decades.How AI, wearable devices and longitudinal patient data could transform diagnosis and personalized medicine.Why mechanical, electrical and software engineers all have a role to play in the future of healthcare.What engineering educators should teach today to prepare students for tomorrow’s biomedical breakthroughs.3 Big Takeaways from this Episode: 1. Engineering is becoming a core driver of healthcare innovation. The future of medicine won’t be built by clinicians alone. Myers explains how mechanical engineers, computational modelers, AI researchers and device designers are bringing new tools and ways of thinking to problems that traditional medical research has struggled to solve. 2. Digital twins are moving from factories to patients. The same technologies manufacturers use to simulate equipment and optimize production are beginning to model organs, pregnancies and disease progression. While clinical implementation remains years away in many applications, digital twins are already accelerating biomedical research and medical device development. 3. Tomorrow’s engineers will need both technical fundamentals and AI fluency. As AI reshapes engineering education, Myers argues that foundational engineering principles remain essential. Students must still learn how systems work from first principles while using AI to accelerate analysis, design and innovation rather than replace critical thinking. Resources in this Episode: ERVA (Engineering Research Visioning Alliance - NSF)Report: Transforming Women's Health Outcomes through EngineeringConnect with our guest online: ERVA Facebook  |  ERVA LinkedIn  |  Connect with Kristin on LinkedIn More notes & resources on the episode page: https://techedpodcast.com/columbia/ We want to hear from you! Send us a text. Instagram - Facebook - YouTube - TikTok - Twitter - LinkedIn

See All (286)

Trailer

5
out of 5
42 Ratings

About

The TechEd Podcast sits at the intersection of technology, industry, innovation and the people who make progress possible. Hosted by Matt Kirchner, each episode features builders, executives, educators, and policymakers shaping what’s next—AI, automation, advanced manufacturing, energy, and the systems behind them. If you care about the future of work, the future of tech, and how talent actually gets built, you’re in the right place.

Information

  • Creator
    Matt Kirchner
  • Years Active
    2020 - 2026
  • Episodes
    286
  • Rating
    Clean
  • Copyright
    © 2026 The TechEd Podcast
  • Show Website
    The TechEd Podcast

You Might Also Like