A Wall Street Journal op-ed about the University of California’s SAT ban sparked a national conversation about college admissions, academic standards and whether students are arriving on campus ready for rigorous STEM coursework.

In this episode, Matt speaks with Svetlana Jitomirskaya, professor of mathematics at UC Berkeley and one of the faculty members behind an open letter calling on the University of California system to reinstate standardized testing. More than 1,500 faculty members have signed on, warning that test-blind admissions have masked severe preparation gaps among incoming students.

But this conversation is not really about one test. It’s about what happens when high school grades no longer signal readiness, when universities lose an objective baseline for admissions, and when students are placed into STEM programs without the math foundation they need to succeed.

Svetlana argues that removing the SAT was supposed to expand access, but in practice may be hurting the very students it was meant to help. Without a clear measure of readiness, students from underprepared K-12 systems can arrive at elite universities only to face remedial math, repeated calculus failures, major changes or the collapse of a STEM dream they were told they were ready to pursue.

For educators, employers and policymakers, the stakes are bigger than the SAT. This is a conversation about standards, equity, accountability and the future STEM talent pipeline.

Resources in this Episode:

• Read the op ed in the Wall Street Journal: "The University of California Needs the SAT Back"
• Read the official open letter to the UC Board of Regents

See more on the episode page: https://techedpodcast.com/svetlana/

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Smart manufacturing has moved past the pilot phase, and manufacturers that still treat AI and automation like side projects are running out of time.

Rockwell Automation Chairman and CEO Blake Moret joins us to talk about the next era of smart manufacturing: AI-enabled operations, digital twins, autonomous mobile robots, cybersecurity, factory modernization and the workforce needed to enable it.

Blake breaks down what Rockwell means by the “factory of the future,” including the company’s planned million-square-foot facility and the modernization of its existing manufacturing footprint. He explains why the future of automation starts with identifying manufacturing problems, not technology for technology’s sake, and why domain expertise still matters in an AI-driven world.

We also dig into Rockwell’s 11th Annual State of Smart Manufacturing Report, where AI and machine learning have moved to the top of manufacturers’ investment priorities. Blake shares what manufacturers are getting right, where they’re still vulnerable, and why U.S. companies need to adopt advanced technology “like they mean it” if they want to stay competitive globally.

From digital twins of production lines to the possibility of digitally modeling entire enterprises, this conversation offers a clear look at where manufacturing is headed, and what industry, education and workforce leaders need to do now to keep up.

3 Big Takeaways from this Episode:

1. Smart manufacturing has moved from experimentation to execution.
Rockwell’s $2 billion investment in plants, talent and digital infrastructure shows how seriously the company is modernizing its own operations. Blake explains how the planned New Berlin facility and upgrades to existing plants will use digital twins, mobile robots, MES software and edge data to improve customer service, efficiency and scalability.

2. AI is changing the way factories are designed, operated and improved.
Blake explains that AI and machine learning are simplifying automation by helping engineers design, commission, operate and maintain systems more efficiently. He also describes how digital twins and emulation can de-bottleneck production before physical equipment is running, and how those models could eventually extend beyond the plant floor into supply chain and financial forecasting.

3. U.S. manufacturers need to adopt technology like they mean it.
In discussing Rockwell’s State of Smart Manufacturing Report, Blake points to a sharp contrast between U.S. and Chinese approaches to external risk. His message to manufacturers is clear: advanced technology adoption cannot be a hobby, a pilot or a box to check. It has to become a real source of competitive advantage.

Resources in this Episode:

• Read the 11th Annual State of Smart Manufacturing Report
• Academy of Advanced Manufacturing (AAM) Program for Veterans
• Rockwell Automation's planned 1-million-square-foot "factory of the future"

Find more resources on the episode page! https://techedpodcast.com/moret2/

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What jobs will AI replace, and which ones will become more valuable?

Matthew Prince, co-founder and CEO of Cloudflare, recently wrote an op-ed in The Wall Street Journal about how he chose which employees to replace with AI. His argument: AI is not coming equally for every role. It's coming first for the people inside organizations who measure, report, analyze, audit, manage, and process information.

In this solo episode of The TechEd Podcast, Matt Kirchner responds to Prince’s article and examines what it reveals about the future of work. Drawing on Peter Drucker’s framework of builders, sellers, and measurers, Matt breaks down why some jobs are likely to be heavily disrupted while others may become even more valuable.

The uncomfortable truth: AI may reduce the need for many traditional middle management, finance, operations, and measurement-heavy roles. But it also increases the value of people who create products, build relationships, solve customer problems, lead change, and turn technology into business value.

From sales and engineering to marketing, STEM education, data science, and applied AI, this episode explores where human talent still matters most, and what businesses, educators, and professionals need to do now to prepare for the next phase of workforce disruption.

5 Big Takeaways from this Episode:

1. Businesses need to start their AI journey now. AI is already changing how companies operate, compete, hire, and structure their teams. Organizations that have not assigned someone to understand how AI will disrupt their business, market, or institution are already behind.

2. Measurers and mid-level managers will be disrupted the most. Roles centered on reporting, processing, auditing, analyzing, tracking, and managing information are increasingly vulnerable to AI. The opportunity is not to ignore that disruption, but to become the person who knows how to use AI to do that work better, faster, and more strategically.

3. Personal relationships become more important in the AI age, not less. AI can automate parts of sales, marketing, and customer engagement, but it cannot earn trust the way people do. Sellers who understand customer needs, build relationships, solve problems, and use data intelligently will remain critical to business growth.

4. Creativity and leadership still rule the day. AI gives more people access to the same tools, but it does not replace the ability to see opportunity, connect ideas, build a brand, lead change, or execute a vision. In marketing, business leadership, product strategy, and innovation, creative and decisive people will continue to create value.

5. The future belongs to builders. Engineers, skilled tradespeople, manufacturing talent, STEM professionals, automation specialists, and applied AI practitioners are positioned to become even more important. If AI makes builders more productive, companies will need more of them, not fewer, especially in fields tied to physical AI, robotics, smart manufacturing, autonomous systems, drones, and the edge-to-cloud continuum

Resources in this Episode:

Read Matthew Prince's op-ed in the Wall Street Journal: "How I Choose Which Cloudflare Employees to Replace With AI"

Episode page: https://techedpodcast.com/cloudflare/

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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:

1. 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.
2. 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.
3. 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: https://techedpodcast.com/cicco5/

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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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What can organizational leaders learn from military-tested leadership practices to realign teams, sharpen execution, and move forward with greater clarity?

In this episode of The TechEd Podcast, Matt Kirchner sits down with Jay Richards, retired U.S. Navy Senior Chief, former Naval Special Warfare operator, CIA contractor, and author of The Standdown Framework: Advance Over Retreat. Richards brings a rare perspective shaped by elite military service, global special operations collaboration, and high-stakes leadership environments, then applies those lessons to the challenges leaders face inside businesses and educational institutions.

Every organization experiences drift: the slow movement away from standards, clarity, discipline, and mission through small compromises and tolerated inconsistencies. The Standdown Framework is about using a deliberate reset to create stronger alignment, uncover untapped intelligence across the team, improve accountability, and open up new possibilities for performance, innovation, and culture.

Leaders will learn how to ask better questions, create better discussions, and turn a reset into a lasting operating standard. The result is a practical conversation about how strong leadership can help organizations not only correct course, but build something sharper and more resilient on the other side.

In this episode:

• How drift takes hold inside organizations, and why drift can't be ignored
• The 9-step Standdown framework Jay uses to help teams reset, realign, and move forward
• Why the questions leaders ask often determine whether they get surface-level updates or real truth from their team members
• How to confront breakdowns in performance without creating a culture of blame
• What it takes to turn a one-time reset into stronger culture, sharper accountability, and lasting execution

3 Big Takeaways from this Episode:

Drift rarely looks dramatic, which is exactly why it’s dangerous. Richards defines drift as the slow movement away from standards, discipline, clarity, and mission through small compromises and tolerated workarounds. In manufacturing, education, or any team environment, the problem often is not collapse. It's gradual erosion that gets normalized over time.

A stand down is not a retreat. It is a disciplined reset. Richards reengineered a military-inspired process for organizations that need to stop, realign, and move forward with greater precision. The framework is built to help leaders identify the signal, align the team, define the anchor points, discuss hard truths honestly, and execute a better plan with accountability.

Strong leadership is less about control than clarity, accountability, and development. Richards repeatedly returns to the same themes: ask better questions, create psychological safety, praise people publicly when they model the standard, and build systems that hold teams accountable after the reset. He makes the case that great organizations don't just extract value from people today. They develop people for what they can become tomorrow.

Resources in this Episode:

• Read The Standdown Framework book on Amazon

More resources on the episode page: https://techedpodcast.com/richards/

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Nikki Gonzales has built a career at the intersection of industrial automation, software, and systems thinking, and in this episode, she makes the case that the next chapter of manufacturing won’t be defined by AI alone. It will be defined by how well people understand process, data, machines, and the interfaces that connect them. The future of automation is as much about human judgment and lifelong learning as it is about smarter technology. 

A big part of that story runs through the human-machine interface. The HMI has evolved from a control screen into a communication layer between machines, operators, plant systems, and increasingly, AI-enabled tools. The conversation explores how open standards, AI assistants, scripting support, and emerging protocols like MCP could expand what industrial systems can do, while also lowering the barrier for more people to work with them. 

But the episode is not a story about technology replacing expertise. We also discuss technology raising the premium on real understanding. Gonzales argues that even as AI becomes more capable, foundational knowledge of physics, process, controls, and manufacturing systems still matters. She also makes the case that careers in this space are built not just through technical skill, but through curiosity, relationships, mentorship, and the willingness to keep learning.

In this episode:

• How NVIDIA’s Inception program is helping a 30-year-old HMI company innovate like a startup
• Why HMIs are a great starting point for applied AI projects
• What MCP can make possible in industrial automation that a standard API connection cannot
• How AI could lower the barrier to entry in automation while raising the bar for process knowledge
• Will the future of skills be more specialized, or more generalized?

3 Big Takeaways:

The HMI may be one of the best places to start with applied AI in manufacturing. The HMI already sits at the intersection of the machine, the PLC, plant systems, and operator decision-making, which makes it a natural place to aggregate data and connect AI tools. In that sense, the future of applied AI in manufacturing is about smarter interfaces that can translate, contextualize, and move information where it needs to go. 

AI will make automation more accessible, but not less demanding. Nikki argues that AI can reduce the barrier to entry by helping newer users with scripting, debugging, and development workflows, especially on the HMI side. But she is equally clear that these tools raise the premium on people who understand process, physics, controls, and how manufacturing systems actually work, because the consequences of getting it wrong are too high. 

The future automation workforce will be built as much through community as through technology. Through Automation Ladies and OT SCADA CON, Nikki makes the case that technical careers are shaped not only by tools and training, but also by mentorship, relationships, and exposure to the full range of roles in the industry.

Resources in this Episode:

Connect with Nikki on LinkedIn

Learn more about Automation Ladies

More links & resources: https://techedpodcast.com/gonzales/

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