The TechEd Podcast

Exponential technologies, humanity-centric innovation, ethics in AI, passion and purpose, and the intersection of business and technology all point to one urgent question: How do we prepare the next generation to build solutions that are both economically viable and good for humanity?
This is a question we explore with Pete Dulcamara - scientist, former VP of Research at Kimberly-Clark and author of High-Tech Heroes.
We may be entering a new renaissance of innovation, driven by the convergence of human need, business model disruption and fast-moving technology. Global companies are rethinking how products create real human value, exponential technologies are advancing faster than institutions can adapt, and a new generation is entering the workforce with different expectations for purpose, impact and responsibility.
For Dulcamara, the opportunity is not technology for technology’s sake. AI, robotics, biotechnology, autonomous systems and additive manufacturing could help solve some of the world’s hardest problems, but only if they are paired with ethical judgment and economic viability. That's where education has to adapt. Students must learn exponential technologies and also how to apply their skills to these humanity-centric questions.
In this episode:
Redefining "billionaire" and how you can become one
The difference between consumer-centric, business-centric and humanity-centric innovation
What we mean by “data is the new oil, AI is the new electricity, and robotics is the new steel”
Moving technical education from STEM to “STEM to the power of E”
EQ, AQ and the skills the next generation may need more than IQ in the age of AI
3 Big Takeaways from this Episode:
1. Humanity-centric innovation requires purpose and profit to work together.
Pete Dulcamara defines humanity-centric innovation as solving major human problems through viable business models and exponential technologies. The point is not charity, but scalable solutions that create competitive advantage while improving people’s lives.
2. The next era of technology will be built on data, AI and robotics.
Dulcamara compares data to the new oil, AI to the new electricity and robotics to the new steel. As these technologies converge, companies and schools will need to prepare people for a world where intelligent systems reshape products, industries and work itself.
3. Technical education has to teach more than technical skill.
As AI makes answers easier to access, students will need stronger curiosity, ethical judgment and adaptability. Dulcamara argues that STEM should be raised to the “power of E,” with ethics embedded into how students learn, build and apply technology.
Resources in this Episode:
Get Pete's book High-Tech Heroes: Why Gen Z is our Last and Best Chance to Save the Planet
Tons of other books, podcasts and shows mentioned in this episode can be found on the show notes page: https://techedpodcast.com/dulcamara/

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Work-based learning is only as strong as the ecosystem around it, and this panel shows what happens when educators, employers, and students each do their part.
Recorded at ACTE’s National Work-Based Learning Conference in Providence, Rhode Island, this keynote panel features the perspective of an educator, industrial employer, and a student and shares their best insights and practical advice for making WBL impactful.
From the education side, Kathryn Dacier explains what it looks like when work-based learning is embedded in the design of a school, not relegated to the margins. From the employer's perspective, Kathy Sutton argues that the quality of work-based learning depends on whether employers are willing to create placements grounded in communication, mentorship, and meaningful work. And from the student side, Kadence Agin shows how experiences like SkillsUSA, DECA, and work-based learning help young people build confidence, expand their networks, and discover career paths they want to pursue before graduation.
Taken together, the panel makes a practical case for stronger collaboration between schools and employers and a more intentional approach to preparing students for the workforce. It also shows that when those three stakeholders are aligned, work-based learning starts functioning as a true pipeline for talent, readiness, and opportunity.
Meet our Panelists:
Kathryn Dacier, Career Coordinator, William M. Davies Jr. Career and Technical High School
Kathy Sutton, Senior Workforce Development Specialist, General Dynamics Electric Boat
Kadence Agin, Senior, Coventry High School; SkillsUSA Rhode Island State President
Resources in this Episode:
Learn more about the Association for Career and Technical Education
Save the date! ACTE Work-Based Learning Conference 2027 is coming to Oklahoma City April 28-30, 2027.
Other resources mentioned:
Davies Career and Technical High School
General Dynamics Electric Boat - student programs
SkillsUSA
DECA
More resources on the episode page! https://techedpodcast.com/acte/
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As AI and emerging technologies reshape work, HR is being pushed into a bigger role: making sure the company’s workforce strategy keeps pace with its business strategy.
▶️ Watch this episode on YouTube!
In this episode, Matt Kirchner sits down with Dr. Peter Fasolo, former CHRO of Johnson & Johnson and now Director of the Institute for Leadership & Work at Boston University, to talk about the future workforce from one of the most senior vantage points in HR. Fasolo does not describe HR as a siloed function focused on policies and process. He describes it as a system tied to competitive pressures, customers, leadership, organizational design, and the business outcomes that matter most to the executive suite and the board.
Fasolo argues that as AI takes on more routine work, the value of HR has to become more strategic, not less: understanding the internal labor market, knowing where to build talent versus buy it, helping the company close capability gaps, and making sure the workforce is aligned with where the business is headed. With Matt pushing the conversation into practical territory, the episode becomes a broader discussion about leadership, culture, upskilling, and what companies will need from HR chiefs as the future workforce takes shape.
Listen to learn
How HR leaders can tell whether the company actually has the skills and leadership depth its strategy requires
Are mass layoffs truly due to AI, or is there more going on in these businesses?
How to decide when to build talent, buy talent, borrow talent, or use AI
Where companies should redirect their talent if they're able to automate tasks with AI
Why the next phase of HR leadership is less about administering programs and more about helping the executive team build an organization that can compete
3 Big Takeaways from this Episode:
1. HR has to move closer to the center of business strategy. Fasolo makes the case that HR can no longer be defined mainly by process, policy, or employee programs. As work changes, the real job is helping leadership understand whether the company has the talent, structure, and alignment to deliver on its strategy.
2. The future workforce starts with maximizing the capabilities you already have. Before companies rush to hire, restructure, or blame AI for workforce disruption, Fasolo argues they need a much clearer view of their internal labor market, skill gaps, and job architecture. Workforce strategy starts with knowing what exists inside the business and maximizing your human capital.
3. Technology only creates value if leaders use the freed-up capacity well. AI and workforce disruption is all over the headlines, but here's a grounded way to approach it. If routine work takes less time, then organizational leaders need to redirect their people toward customers, coaching, judgment, problem solving, and the kinds of leadership work that technology cannot replace.
Resources: https://techedpodcast.com/fasolo/
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Physical AI is the next major step for artificial intelligence, and FANUC’s collaboration with NVIDIA shows how that will look on the factory floor.
Mike Cicco, President and CEO of FANUC America, highlights the partnership’s two major applications: digital and physical. On the digital side, FANUC robots can be brought into NVIDIA Omniverse and Isaac Sim, alongside FANUC’s ROBOGUIDE software, for simulation, virtual commissioning, digital-twin development, cycle-time evaluation, synthetic data generation, and risk reduction before installation.
On the physical side, NVIDIA’s computing capabilities, ROS 2, open-source development, and AI-enabled perception are helping robots interpret sensor data, adjust motion in real time, avoid people, track moving parts, coordinate dual-arm tasks, and perform work that once required rigid programming or precise fixturing.
For manufacturers, Physical AI will expand automation's capabilties, especially in high-mix environments. For educators and workforce leaders, as AI and open-source tools accelerate robot programming, students still need strong fundamentals in motion, safety, controls, and robot behavior.
Listen to learn
The physical and digital aspects of the new FANUC-NVIDIA partnership
 How Isaac Sim and Omniverse could change virtual commissioning for manufacturers
 What ROS 2 makes possible for open-source robotics development
 Where small and midsize manufacturers should start before jumping into advanced AI robotics
 What these developments mean for educators teaching automation and robotics courses
3 Big Takeaways from this Episode:
Manufacturers can now do full virtual commissioning before investing in a new automation cell. NVIDIA’s Isaac Sim and Omniverse create a way to bring multiple assets together into one photorealistic virtual factory, where manufacturers can simulate robot behavior, factory layouts, workflow changes, synthetic parts, and commissioning scenarios before building the physical system.
Physical AI is making robot programming more flexible and responsive to real-time environmental changes. Through NVIDIA’s computing capabilities, ROS 2, open-source development on GitHub, and AI-enabled perception, robots can begin responding to changing factory conditions in real time. That includes tracking moving parts in 3D, adjusting motion around people, coordinating dual-arm tasks, handling flexible materials, and using generative AI to create programs from voice commands.
Industry will still need people who understand the fundamentals of robot motion and programming. AI and open-source code can accelerate robot programming, but they can’t replace the need to understand motion, safety, controls, acceleration, position, and how robots behave in production. Manufacturers and educators still need strong technical foundations so people can judge, refine, troubleshoot, and safely deploy these systems.
Resources:
Advancing Physical AI and Digital Twins Through Collaboration with NVIDIA
Learn more about FANUC America & FANUC's Education Programs
More links & resources:
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What if the future of technical talent is not Silicon Valley or public service, but a career path that moves fluidly between both?
Arun Gupta sees that possibility from several angles: as a longtime venture capitalist, CEO of NobleReach Foundation, Stanford lecturer, and author of The Mission Generation. The strongest ideas and technologies only scale when they are matched with people who have resilience, curiosity, humility, and the ability to build strong teams. That same talent equation matters in government, where public service has struggled to compete with the prestige, speed, and perceived upside of high-growth tech careers.
Government is still selling 30-year careers in a world where ambitious people are buying experiences. NobleReach is creating more credible pathways into public service, including programs that give talented people access to meaningful work, strong mentorship, industry visibility, and a community of peers who see service as a career enhancer rather than a detour.
As AI disruption, geopolitical conflict, institutional distrust, and constant career change reshape the workforce, Gupta argues that mission may become one of the few stable throughlines left. The old choice between profit and purpose is breaking down, and the next generation of leaders may need to build careers that move across sectors, translate between cultures, and turn personal ambition into civic contribution.
3 Big Takeaways:
1. Public service needs to become a credible career accelerator for technical talent. Gupta argues that government has often sold young people on safety, stability, and 30-year careers, while many ambitious people now think in terms of high-impact experiences. NobleReach is trying to close that gap by making public service feel prestigious, professionally valuable, and connected to what talented people may do next.
2. The most important variable in technology is still human talent. After nearly two decades in venture capital, Gupta saw the same pattern across successful startups: ideas and technology mattered, but people determined whether those ideas could scale. Resilience, curiosity, humility, leadership, and the ability to build strong teams became the real differentiators.
3. Mission gives technical talent a reason to put their skills toward bigger problems. Gupta argues that many young people have come of age through COVID, geopolitical conflict, environmental stress, AI disruption, and other major shocks compressed into just a few years. That experience has intensified their desire to do work that means something, where their ambition, technical ability, and sense of civic responsibility can point in the same direction.
Resources in this Episode:
Get Arun's new book: The Mission Generation
More links & resources on the episode page: https://techedpodcast.com/gupta
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