Learning from Musk and Kalanick in a Career That Led to AI Manufacturing

Adi Prasad’s career reads like a carefully plotted apprenticeship in high-stakes entrepreneurship. After earning a master’s in mechanical engineering from MIT, he joined Tesla in 2015, helping scale the notoriously complex Falcon Wing door assembly. A brief stint at Apple as a product quality manager followed, before an opportunity to work inside Travis Kalanick’s CloudKitchens—a delivery-only kitchen startup—drew him in as one of its first 100 employees. He later completed an MBA at Harvard Business School in 2025 and immediately launched his own venture, Matter, with no backup plan.

What Prasad took from those years, he says, wasn’t just résumé prestige. At Tesla, he observed Elon Musk’s use of first-principles thinking in real time: breaking a problem down, refusing to accept “that’s how it’s always been done,” and combining deep technical curiosity with business urgency. From Kalanick, the lesson was about scaling relentlessly and making every dollar justify itself, a discipline he calls “relentlessly return-on-investment-focused.”

Those influences now converge at Matter, which is building what Prasad describes as AI-native autonomous factories in the US. Its first facility, a 54,000-square-foot site in Sunnyvale, California, is already live and focused on assembling complex products like drones and robotic systems. The startup, co-founded after his MBA, aims to reposition American manufacturing as a software problem rather than a labor problem.

Prasad’s personal takeaways are two-fold: first, that you will never feel fully ready to start a business, so you simply have to leap; and second, that the rise of AI tools makes a broad range of real-world experiences more valuable than ever, potentially outweighing narrow domain depth in a world where knowledge is increasingly accessible.

How First-Principles Thinking and Scaling Discipline Shaped a New Breed of Founder

Musk’s First-Principles Approach Beyond Engineering

Prasad’s account highlights a dimension of Musk’s leadership that often gets overshadowed by product headlines: the ability to interrogate a problem without being the domain expert, relying instead on structured questioning and an unwillingness to inherit assumptions. For an aspiring founder, the lesson isn’t about genius but about discipline—rejecting “that’s how it’s always been done” can surface simpler, faster solutions even in legacy industries like manufacturing.

Kalanick and the Zero-Based Scaling Mindset

At CloudKitchens, Prasad saw a different entrepreneurial muscle: justifying every decision from scratch. Kalanick’s focus on priorities and zero-based budgeting meant resources were never allocated simply because they had been last quarter. That operating philosophy, Prasad notes, now underscores how Matter runs, especially as it builds factories in a capital-intensive sector where cost overruns can kill an early venture.

The AI-Savvy Generalist Thesis

Prasad’s second big takeaway—that broad experience now matters more than deep specialization—reflects a growing belief in entrepreneurial circles. His own path from mechanical engineering to quality management to business school to founding a startup suggests a bet that AI will commoditize narrow expertise, making judgment and synthesis across fields the scarcer resource. It’s a personal hypothesis, not a proven playbook, but it aligns with the way many AI-native tools are reducing the barrier to technical knowledge.

Practical Lessons for Aspiring Entrepreneurs

  • You won’t feel ready, so build a foundation of diverse experiences and then leap—Prasad went all-in on Matter immediately after his MBA with no backup plan, and his varied career made that possible.
  • Gathering broad skills across technical, operations, and business functions may be more valuable than becoming the deepest expert in one area, as AI tools make specialized knowledge more accessible.
  • If you’re entering a traditional industry, practice first-principles questioning: assume nothing about the way things are currently done, even if you aren’t the subject-matter expert.