The Race to Automate: Why a Former F1 Engineer is Betting Big on Factory Robots
There’s something deeply symbolic about a Formula One engineer trading the adrenaline-fueled world of racing for the hum of factory floors. Bercan Kilic, the brains behind microagi, isn’t just switching careers—he’s betting on a future where robots don’t just assist humans but redefine how we produce everything. Personally, I think this shift speaks volumes about where innovation is headed. It’s not about speed or spectacle anymore; it’s about solving the mundane, labor-intensive problems that keep economies ticking.
From Racetracks to Assembly Lines: The Bigger Picture
Let’s be clear: Kilic didn’t leave Red Bull because he was bored. Formula One is the pinnacle of engineering, where every millisecond matters. But here’s the thing—what makes this particularly fascinating is that he saw a bigger challenge in factories. Factories are where the rubber meets the road for global economies. Labor shortages, aging workforces, and the relentless march of automation in China are creating a perfect storm. Kilic’s move isn’t just about robots; it’s about ensuring the West doesn’t get left behind.
The Data Gap: Why Robots Can’t Just ‘Learn’ Like Chatbots
One thing that immediately stands out is the so-called “100,000-year data gap” in robotics. Chatbots like ChatGPT were trained on decades of text and images from the internet. Robots? Not so much. Kilic’s solution with microagi is ingenious—record humans doing tasks and use that data to train robots. But what many people don’t realize is how labor-intensive this is. His consumer-facing arm, shift, pays people to film themselves cleaning apartments or cooking meals. It’s a clever workaround, but it also highlights how far we are from a true robotics revolution.
The GPT Moment for Robots: Hype or Reality?
Kilic believes robotics is on the cusp of its “GPT-3.5 moment.” In my opinion, this is both bold and speculative. Language models exploded because they became useful overnight. Robots? Not quite there yet. They’re still clunky, expensive, and limited in what they can do. But here’s where it gets interesting: Kilic isn’t building robots; he’s building the brains for them. If you take a step back and think about it, this is a smarter play. Hardware is commoditizing, but the software—the intelligence—is where the real value lies.
The Labor Question: Are Robots Stealing Jobs?
Kilic insists microagi isn’t about replacing workers but addressing labor shortages. From my perspective, this is a nuanced take. Yes, robots can fill gaps, but they also change the nature of work. What this really suggests is that we’re not just automating jobs; we’re redefining industries. The question isn’t whether robots will take jobs—it’s how we prepare workers for a world where they coexist with machines.
The China Factor: A Race Against Time
China’s dominance in factory automation is staggering. In 2024, they installed 295,000 robots—54% of the global total. The US? Just 34,200. This raises a deeper question: Can the West catch up? Kilic’s focus on Europe makes sense. With an aging population and shrinking workforce, automation isn’t a luxury—it’s a necessity. But here’s the kicker: Reshoring manufacturing only works if robots can do the heavy lifting.
The Audacity of Ambition: 20 Million Robots in Five Years?
Kilic’s goal of deploying 20–30 million robots in five years is audacious. Personally, I think it’s a stretch. Robotics is still in its infancy, and scaling this fast requires solving countless technical and ethical challenges. But what makes microagi compelling is its ecosystem approach. By partnering with AI labs and collecting real-world data, they’re building a foundation for something bigger. Whether they hit their target or not, they’re pushing the industry forward.
The Human Element: What Robots Still Can’t Do
A detail that I find especially interesting is how microagi relies on humans to train robots. Those sensor-equipped gloves and cameras? They’re capturing the subtleties of human movement—the way we grip, adjust, and adapt. Robots are still far from replicating this. And that’s the irony: the more we automate, the more we realize how unique human skills are.
Conclusion: The Future Isn’t Just Automated—It’s Collaborative
If there’s one takeaway, it’s this: the future of work isn’t about humans vs. robots. It’s about collaboration. Kilic’s vision of a world with abundant, low-cost goods depends on robots and humans working together. But here’s the challenge: Can we build systems that enhance human potential instead of replacing it? That’s the real race—and it’s one we can’t afford to lose.
