In an episode of “Under the Hood: Automotive Storytelling,” Dr. Jan Wehinger, Partner at MHP – A Porsche Company, reveals a counterintuitive truth that’s reshaping how we think about automotive innovation: over half of transformation success in the shift to software-defined vehicles (SDV) depends not on technology, but on organizational culture change. As the industry races toward a software-first future, Wehinger challenges the conventional wisdom that technical prowess alone determines winners and losers. Instead, he argues that the ability to simultaneously manage technological evolution and cultural transformation separates industry leaders from those left behind. This conversation explores the critical gap between strategy and execution, offers a clear-eyed definition of what SDV actually means, and examines how artificial intelligence will fundamentally reshape not just our vehicles, but the very organizations that create them.
The Two-Axis Challenge: Why Automotive Transformation Is More Complex Than You Think
When discussing the difficulties automotive companies face in their digital transformation, Dr. Wehinger introduces a revealing framework that explains why so many organizations struggle despite massive investments in technology.
“Imagine a simple coordinate matrix,” Wehinger explains. “On the x-axis you have the technology shift in an industry or company. Many processes were once paper-driven, then became PowerPoint/Excel-driven, and today they’re increasingly system-driven—software-driven—and we’re on the edge of becoming AI-driven. On the y-axis you have the organizational/cultural/mindset shift.”
This dual-axis challenge is what makes automotive transformation uniquely difficult. Companies evolved as hardware-defined organizations—cultures shaped over decades by building beautiful cars and perfect machinery. The DNA of these organizations reflects generations of mechanical engineering excellence, hierarchical decision-making, and long development cycles.
“Now it’s about becoming software-defined: combining hardware product development with digital and software capabilities,” Wehinger notes. “You have to manage both axes: the technology/process shift and the organizational/culture/mindset shift. That’s really complicated. Therefore, I’d say more than 50% of success is about developing the organization, developing people, and driving culture.”
This insight has profound implications for how companies should allocate resources and leadership attention. While billion-dollar technology investments grab headlines, the less visible work of cultural transformation often determines whether those investments deliver value.
Bridging Strategy and Execution: The End of the PowerPoint Strategy Era
One of Wehinger’s most provocative insights challenges how automotive companies approach strategic planning in an era of rapid disruption. Traditional strategy development—creating comprehensive PowerPoint decks, securing top-management approval, then cascading communication before execution—is no longer viable.
“The times are over when you create a massive strategy PowerPoint deck, discuss it at top-management level, then plan how you’ll communicate it, and only then start the strategy rollout,” Wehinger states firmly. “Because we live in an era of fast-changing environments, you have to deploy your strategy quickly and start execution immediately.”
Instead, he advocates for managing three parallel streams:
- Think and refine your strategy continuously
- Communicate it to your employees and change the organization in real-time
- Execute and implement it at organizational and process level—fast—with continuous course correction
This approach represents a fundamental shift from waterfall to agile thinking at the enterprise level. Companies must become comfortable with ambiguity, willing to adjust strategies based on market feedback, and capable of organizational learning at unprecedented speed.
The implications for automotive communicators are significant. Rather than crafting polished messages after strategies are finalized, communication must become an integral part of strategy development itself. Transparency about uncertainty, authentic dialogue about challenges, and collaborative problem-solving replace top-down messaging.
What Software-Defined Vehicles Actually Mean: Beyond the Buzzword
With every Tier 1 supplier and OEM claiming to embrace SDV, the term risks becoming meaningless marketing jargon. Wehinger cuts through the noise with a practical, customer-centered definition.
“What we see in automotive is a fundamental change of the car as a product,” he explains. “Today the car must integrate into the customer’s digital world. So it has to be fully connected and updateable. In the past, as a car manufacturer, you designed a car, built it, sold or shipped it, and that was it—maybe some dealership work once or twice a year. Once built, it was final.”
The key distinction: SDV means the car is never finished. Over the entire lifecycle, manufacturers must be able to update their cars—the whole fleet. This shifts the business model from selling a static product to managing an ongoing relationship through software updates, feature additions, and continuous improvement.
This definition has important implications for differentiation. When asked how suppliers can stand out when everyone claims to offer SDV solutions, Wehinger points to the evolution of industry relationships: “We’re coming from a world focused on competitive advantages and moving toward building collaborative advantages: how can we achieve more together?”
The future belongs not to those with the best individual technology, but to those who can orchestrate partnerships across OEMs, Tier 1s, big tech companies, and startups to deliver integrated solutions customers actually value.
The AI Revolution: From General Purpose Technology to Agentic Employees
Perhaps the most forward-looking part of our conversation explores artificial intelligence’s role in automotive’s future. Wehinger positions AI as a general-purpose technology comparable to electricity or the internet—not just another tool, but a fundamental transformation of how work gets done.
“AI is similar to the early days of electricity,” he notes. “When electricity started, everyone thought about illumination. But electricity brought far more—machine reproduction, efficiency, etc. AI started with cool chatbots; now we see AI agents, physical AI on the edge, and so on.”
Wehinger identifies three critical questions companies must answer:
- Product augmentation: What AI capabilities should be embedded in vehicles, and how do you communicate that value to customers?
- Enterprise transformation: How do you integrate AI across production processes, IT systems, and the entire value stream?
- Partnership strategy: Who provides AI models, infrastructure, and tooling?
Most provocatively, Wehinger suggests we may soon see “a first generation of employees guided by AI agents.” While acknowledging this sounds dystopian, he points to early examples: smartwatches nudging you to stand up, gamification systems encouraging desired behaviors, social media algorithms shaping attention.
“If people always got tasks perfectly suited to them, many would say, ‘That’s great work,'” he observes. For organizations, this means leaders will need to manage mixed teams—human employees and agentic employees—requiring new orchestration, governance, and management capabilities.
Authentic Storytelling in the Age of Transformation
When asked for his top storytelling advice, Wehinger returns to fundamentals that matter more, not less, in an age of technological complexity:
“Be authentic, be enthusiastic, make it personal. Stories are the brain’s native language. We are more homo narrans than homo sapiens. With storytelling—even in tech and data—you can give meaning.”
His practical advice for communicators facing challenging situations: use Matt Abrahams’ three-step structure:
- What? (What’s happening)
- So what? (Why it matters)
- Now what? (What action to take)
This simple framework can help automotive communicators translate complex technological transformations into narratives that drive understanding and action.
The Road Ahead: Shaping the Future We Want to Live In
The conversation with Dr. Jan Wehinger reveals that automotive’s transformation challenge isn’t primarily technical—it’s human. Success requires organizations to simultaneously evolve their technology stack and their cultural DNA, to bridge the gap between strategic vision and operational execution, and to prepare for an AI-augmented future while maintaining authentic human leadership.
For communicators, the imperative is clear: move beyond feature-function messaging to tell the human stories behind transformation. Help employees and customers understand not just what’s changing, but why it matters and how they can be part of shaping that future.
Ready to hear the full conversation? Listen to the complete episode with Dr. Jan Wehinger on “Under the Hood: Automotive Storytelling,” available on Apple Podcasts, Spotify, and Deezer. Subscribe to ensure you never miss an episode, and share with colleagues who are navigating their own transformation journeys.
Dr. Jan Wehinger is a Partner at MHP – A Porsche Company, specializing in automotive industry transformation with expertise in sustainability, software-defined vehicles, and digital transformation. His work emphasizes that over 50% of transformation success depends on organizational culture change.