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The Future of Manufacturing · Feb 8, 2026

Issue #57 - The Future of Manufacturing

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Robin Dechant · The Future of Manufacturing

This newsletter is an extended version of a byline I recently had published in Resilience Media: “The Second Valley of Death.”

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Every founder knows about the first valley of death. That phase where you're doing everything possible to find your first customers and make them happy. Build, test, iterate, learn. I've been through this myself. If you survive, more customers will come, investors get excited, and capital flows.

Building hardware is hard. Everyone knows it. Most hardware companies don’t even make it to product-market fit. But for those that do, there’s a second valley waiting - the gap between making a few prototypes and producing thousands of units. This is where companies either fade away or become generational.

We’re seeing this play out in defense right now. Companies have proven their technology works, Ukraine validated it, and governments are signing contracts. But the challenge isn’t building a prototype anymore. It’s delivering thousands of working units on time. European governments need thousands of drones for the “drone wall” on NATO’s eastern flank. These aren’t prototype orders. They’re industrial-scale commitments. The companies that can actually manufacture at volume will define European defense for decades. The ones that can’t will watch from the sidelines.

As robotics companies such as Standard Bots, Cobots, Sereact, RobCo, NoMagic, or Monumental begin deploying fleets that automate real physical work across industries, they'll face the exact same scaling challenge in the future. The winners will be determined by who can manufacture at scale, not just innovate.

Going from 10 prototypes to 10,000 units isn’t just “doing the same thing more times.” It’s an entirely different game. And don’t get me wrong. Building even a single prototype of a fundamentally new product is a success in itself. It’s brutally hard.

Your prototype supplier who hand-assembled components with care? They can’t deliver at volume. Your carefully selected parts? Half of them aren’t available in the quantities you need, and the lead times just jumped from 6 weeks to 9 months. That clever design decision that saved you two weeks in prototyping? It now adds €100 to every unit because it can’t be automated. The spreadsheet you’ve used as an MES can’t cope with scale. Now you need to deal with the implementation of Siemens Opcenter MES.

The trade-offs are very hard. Automate too early and you’ve locked in processes before you’ve worked out the bugs. Now every design change requires retooling. Automate too late and you’re hand-building units while competitors scale past you. Optimize for the current supplier and you’re locked in. Keep too many suppliers and managing them becomes impossible.

Emerging defense companies and also primes are living this challenge right now. The demand is real and urgent. But demand doesn’t matter if you can’t deliver. European governments need thousands of drones for the “drone wall” on NATO’s eastern flank as an example. These aren’t prototype orders. They’re industrial-scale commitments. The companies that can actually manufacture at volume will define European defense for decades. The ones that can’t will watch from the sidelines.

Robotics will face this next. Right now, most robotics companies are focused on solving the data bottleneck and getting their first deployments right. A few robots in a warehouse, a few quadrupeds inspecting gas pipelines. But as autonomous systems prove their value and fleets scale to hundreds or thousands of units doing real physical work, production capacity will become the bottleneck. The same pattern will repeat.

Here’s the uncomfortable truth: almost nobody has done this before.

There are plenty of people who’ve built prototypes and taken products to a few units. There are thousands of people who understand scale. Automotive engineers who’ve seen millions of cars roll off production lines from the likes of BMW, Mercedes or VW. But the people who’ve made the journey from zero to scale?

Tesla is the obvious example. The company nearly died in “production hell” making the Model 3. They figured it out, barely, and that institutional knowledge is gold. SpaceX did it with Starlink (though satellites are simpler than cars). Beyond that, the list gets thin fast.

Most European defense and robotics companies are hiring from the prototype side. Brilliant engineers who’ve built amazing things at small scale. They’re missing the people who are able to actually industrialize production from scratch.

I’ve been talking to the leaders scaling production at neo-primes and emerging robotics companies. A pattern keeps coming up: they’re working on first-principles while learning from automotive. Yes, traditional European car companies are struggling with electrification and software. But they still know things about manufacturing that startups are rediscovering the hard way. Here are a few

  • Hire operators who’ve handled complexity at speed. You need people who’ve worked on complex technical problems under intense timeline pressure. They know how to make trade-offs fast and keep moving when things break

  • Partner with experts in scaling production. Work with companies that have done this before. Automotive OEMs are a natural fit (eg. Helsing and Schaeffler partnership). They bring decades of high-precision manufacturing expertise and established supplier networks that can accelerate your scaling timeline

  • Pilot production lines. Build a small version of your factory, work out all the problems, then scale. Don’t try to debug your production process at full volume

  • Protect the line. Once production is running, the worst thing you can do is stop it for design changes. Production issues should drive improvements, not emergency redesigns

  • Design for Manufacturing (DFM) from day one. If your mechanical engineers aren’t talking to the people who’ll build it, you’re designing something that looks good in CAD but is a nightmare to assemble. Put the engineers and technicians of the production line next to each other

  • Stable, validated designs before production starts. Don’t launch into mass production while you’re still changing the design all the time. Lock it down. It’s one of the hardest decisions when to lock it down at the beginning

  • PPAP (Production part approval process). Make sure your suppliers can actually deliver quality parts consistently before you ramp. One bad batch at 10,000 units will cost you more than your entire prototype budget

This isn’t sexy. It doesn’t make for good pitch decks. But it’s the difference between delivering 100 units per year and 10,000.

The companies that crack production scaling will become the European defense giants of the next 30 years. The ones that don’t will have great technology that is hard to buy at scale - watching from the sidelines while competitors deliver.

We’re about to find out who really understands manufacturing. My bet is on the founders who are humble enough to think first principles and learn from the people who’ve already done it. Even if those people spent their careers making cars instead of drones.

The second valley of death is deeper than the first. Most founders never see it coming. Fewer survive it. But the view from the other side? That’s where generational companies are built.

Disclaimer

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