
Weekly Roundup: CES, Research Findings Reveal, and Debating PLM
Change by Design: Engineering Transformation with Chad JacksonShow Notes
In this first episode of the new year, Josh Corman and Chad Jackson kick off 2026 by breaking down the engineering implications of the latest innovations from CES, including advancements in physical AI, autonomous sensors, and next-gen processors.
The conversation then shifts to exclusive new research findings on engineering change initiatives. Chad reveals data showing a surprising mix of high success rates and high resistance, explaining why “resistance is a form of feedback” that leaders should welcome rather than fear. Finally, Chad challenges the industry consensus on Product Lifecycle Management (PLM), arguing that its value doesn’t necessarily depend on enterprise-wide adoption, and shares a roadmap for the upcoming InsightEX platform.
Key Topics & Takeaways
CES 2026 Recap: Highlights from the show floor, including AI chips from Tesla and Arm, Siemens’ digital twin updates, and the rise of “physical AI” in robotics. The Competency Gap: How organizations can balance the pressure to develop new skills (AI, cloud, cybersecurity) while still hitting product delivery deadlines. Research Reveal: New data from late 2025 shows an 82% success rate for initiatives, yet 42% of organizations still encounter high or extreme resistance. Rethinking Resistance: Why pushback from engineers is often a sign of engagement and how change agents can use it to build better processes. The PLM Debate: Chad offers a counterpoint to the idea that PLM is low-value unless extended to the enterprise, highlighting gaps in how current tools handle software and cybersecurity. InsightEX Update: A sneak peek at the launch of the new resource library, community forums, and online assessment tools for engineering leaders.
More from Change by Design: Engineering Transformation with Chad Jackson
What separates change initiatives that stall from the ones that actually ship value? Benjamin Moses, Manufacturing Engineering Manager at L3Harris, has spent 26 years on both sides of that question — designing and building hardware at Eaton, then spending a decade at AMT researching which manufacturing technologies are real and which are hype. In this conversation with host Chad Jackson, Benjamin makes the case that a change agent is simply "someone who defines and achieves a future state" — a posture, not a title. He digs into why measurement is the hardest part of engineering change, why two-year transformation projects are usually too long for a business's natural rhythm, and how the best organizations delegate the outcome rather than the method. Along the way he shares hard-won lessons on building cross-functional buy-in, capturing tribal knowledge before it walks out the door, getting real value from digital transformation without jumping straight to AI, and why his team once solved a throughput problem with PVC pipe in the cafeteria instead of an expensive robot. A practical, no-buzzword listen for engineering executives and change agents working in production environments. Topics covered: the change agent mindset · connecting change to business value · the engineering measurement problem · incremental improvement and business cycles · top-down vs. delegated change · knowledge warehousing and brain drain · digital transformation ROI · digital twins · AI and the single source of truth · MVP experimentation. Guest: Benjamin Moses, Manufacturing Engineering Manager, L3Harris
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What does it look like to build a software engineering function from scratch inside an aerospace and defense organization that has never had one? Marilyn Arceo has done it—more than once, across industries—and her answer might surprise you: the hardest part isn't the technology. It's the translation. In this episode of Change by Design, Marilyn, an enterprise architect in aerospace and defense, talks about what it takes to stand up software engineering competencies in complex, regulated industries where those capabilities don't exist yet. She draws on a career that spans consumer packaged goods, fashion, healthcare, commercial real estate, e-commerce, and logistics to explain why the most valuable skill a change agent can develop isn't technical at all—it's the ability to sit between the deeply technical and the deeply human sides of an organization and make each one intelligible to the other. The conversation covers the practical mechanics of building teams: when to hire fresh graduates versus experienced engineers, how to convert mechanical and electrical engineers who already have software foundations, and why a hybrid agile-waterfall approach works better than imposing any single methodology on a team that's never used one. But the real value is in the strategic thinking underneath those decisions—how to evaluate whether an initiative is worth pursuing, when to push for innovation versus when to accept that the math doesn't work, and why iterative rollouts beat wholesale transformation every time. Marilyn also takes a grounded, cautious stance on AI-assisted development. She's seen the productivity gains, but she's equally clear about the risks: hallucinations, security exposure, and the "garbage in, garbage out" problem that surfaces when organizations skip the discipline of code review and governance. Her position is that AI should free engineers to focus on architecture and design, not replace the judgment that keeps systems safe. For engineering executives building new capabilities and change agents navigating cross-functional integration in regulated environments, this conversation delivers field-tested guidance without the hype. Topics covered:
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