Victor Westerlind

THE SILICON ERA IS HITTING A PHYSICAL WALL. TO SCALE AI, WE HAVE TO SCALE THE GRID, THE FACILITY, AND THE HARDWARE-SOFTWARE STACK IN UNISON. The 2026 mHUB HardTech Summit was a fantastic gathering of minds and a definitive validation of the massive “scale wall” we’ve been tracking at z2sixty. The summit confirmed what we’ve long believed: We’ve hit a scaling impasse with technologies like AI. It’s no longer just a silicon problem; it’s a challenge that exists at the “nexus” of the physical and the digital—the intersection of usable power, efficient hardware-software stacks, and pragmatic applications. We’ve moved past the phase of "just making more stuff" in the U.S. and into an era where manufacturing converges with the energy and compute stacks that power it. It’s not just about having existing facilities or owning the models—it’s about having the ideas, people, space, policies, and regional will to BUILD future-ready facilities. A FEW OBSERVATIONS THAT CONFIRM OUR CONVICTION: THE INTEGRATED STACK IS THE NEW MOAT: We’re observing an unprecedented convergence of hardware, software, and the power grid. As Jeff Pontius (Generac), Jacob Balma (Maxwell Labs), and Rashid Bashir (UIUC) highlighted, you can't scale any of them without the others. The bottleneck for AI and advanced computing isn't just code; it's the physical infrastructure—the exact friction point our thesis addresses. POLICY AS A REAL-WORLD TAILWIND: It was encouraging to hear Spencer Gore (Roland Berger) and Sibendu Som (Argonne) discuss the nexus of policy and funding. Illinois’ CRGA legislation—tackling nuclear, quantum, and battery storage—is a prime example of the state-level support we anticipated would be necessary to turn these "nexus" challenges into industrial advantages. THE HEARTLAND AS AN EXECUTION HUB: The Midwest doesn’t just have the "ideas"—it has the unique combination of technical talent, labor, policies, and the underutilized industrial space to actually build and deploy these solutions at scale. The optimism from leaders like Alaina Harkness (Current) and Patricia Grospiron (The Engine Accelerator) confirms that this region is the sandbox for the industrial evolution we’ve been preparing for. Innovation doesn't happen in a vacuum; it happens at the intersection of the grid, the facility, and the tech stack. Seeing Larry Gies (Madison Industries) discuss leadership as a stewardship for both people and the products that build our future was the perfect capstone. Huge thanks to Haven Allen and the entire mHUB team for being a cornerstone of this movement. Meeting several fantastic founders and seeing the products on the floor only strengthened our belief that the "nexus" isn't just coming—it’s here. 🛠️⚡ #mHUBSummit #HardTech #EnergyNexus #Manufacturing #MidwestInnovation #Infrastructure #z2sixty #VentureCapital

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Unlike folks not actually shipping and *deploying* humanoid robots to major global customers, Agility Robotics is almost entirely free of Chinese supply chain dependencies and expects to be 100% American and close ally sourced inside 2026 Robots that actually work. For customers — and for, not against — American national security.

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🚗 Mobility, AI & Systems Digest From 🤖 robotaxi scale to 🧬 regenerative biology and 🌍 infrastructure shifts — this week shows something important: Scale is replacing speculation. 💬 Quote of the Week “We are called to be architects of the future, not its victims.” — R. Buckminster Fuller 🚖 Future of Mobility 🚕 Waymo CEO predicts 1 million weekly rides by the end of the year. – The Verge 🔗 https://lnkd.in/eV8nVMPA 🏎️ Ferrari Luce: a first look at the Jony Ive and Marc Newson-designed EV – Wallpaper* 🔗 https://lnkd.in/ej9FbFvZ 🚦 Glydways to ‘redefine mass transit’ with autonomous EVs – Electrek.co 🔗 https://lnkd.in/erf5EhFE 🚗 Hyundai is reportedly looking to supply Waymo with 50,000 IONIQ 5 for robotaxis – Electrek.co 🔗 https://lnkd.in/eFr8x5hj 🚖 Pony AI and Toyota roll out mass-produced robotaxis in China – South China Morning Post SCMP 🔗 https://lnkd.in/ecTwkSmJ 💻 Software & Platform Shift 🧠 Rivian was saved by software in 2025 – TechCrunch 🔗 https://lnkd.in/eukcnyFy 📊 Geotab Is Moving From Tracking Fleet Vehicles To Tracking Everything – Forbes 🔗 https://lnkd.in/e9X2dGpa 🌐 Google Chrome ships WebMCP in early preview – VentureBeat 🔗 https://lnkd.in/ebMgRHY8 🔘 Human Factors 🔘 Physical Buttons Are Making a Comeback in EVs – Business Insider 🔗 https://lnkd.in/eMnVk_Yk 🚪 Carmakers Rush to Remove Chinese Code Under New Federal Rules – Autoblog 🔗 https://lnkd.in/ePMqzDCv 🧬 Science & Systems 🧠 Scientists Grew Mini Human Spinal Cords, Then Made Them Repair After Injury – ScienceAlert 🔗 https://lnkd.in/e4Ek6p4h 🌲 Forests are changing fast and scientists are deeply concerned – ScienceDaily 🔗 https://lnkd.in/eyfzWcZH ⚛️ Europe Launches Euro-Q-Exa Quantum Computer – Quantum Computing Report 🔗 https://lnkd.in/eYPcMXt7 📊 Stat of the Week 📈 Global equity funds saw a net inflow of $25.54 billion last week, led by record inflows into European equity funds. Reuters 🔗 https://lnkd.in/eNjzcgsD

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I’ve been working on the theory of why small, shippable factories are the perfect inversion to the centralized prefab factory model. It all collapsed into one line of math (credit to Gilles Retsin): Factory Efficiency = Usage × (Throughput × Product Value ) / ( CapEx + Deployment OpEx) The idea is that the closer you can drive Usage to 100 % while keeping the denominator tiny, the faster the flywheel spins.  A shippable microfactory tackles this by primarily focusing on a high Usage factor. Because the microfactory can be packed up afterwards and reused, its CapEx gets amortized over multiple projects, effectively raising its overall Usage across the year. If one project alone doesn’t fully occupy the factory, it can simply roll over to another job to maintain high Usage. Its CapEx is often an order of magnitude lower than a centralized factory (< $1M vs. $10-50M min), so the breakeven throughput is more achievable on a small pipeline of work. The real breakthrough here is portability. There is near-zero stranded capital and almost no idle time. To flesh this theory out, I wrote 3000 words on the topic for Brad Hargreaves and Thesis Driven. The article breaks down: - why “fixed factories, shipped goods” is being inverted to shipped factories, fixed goods - what a sub‑$1 M robotic cell does to CapEx per home versus a £45 M off‑site plant - early production/cost data on a shippable microfactory from Mollie Claypool, Gilles Retsin, Sam Baker and the Automated Architecture (AUAR) team - the hybrid reality of robots tackling the heavy structural components and human crews assembling faster and cheaper - technical constraints to pull this model off and future considerations on the optimal business model (own vs. rent) Major shoutout to Gilles Retsin for helping me pull this together. https://lnkd.in/eRTnbZPa

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Micro, Meso, and Macro: How Start-ups Are Shaped Start-ups do not operate in isolation. Their formation, growth, and survival are shaped by influences operating at three levels: micro, meso, and macro. Understanding how these layers interact is central to explaining why some ecosystems mature coherently while others remain active but fragile. The micro level sits closest to the venture. It includes founders, teams, internal governance, early customers, product discipline, and execution capability. These factors directly affect how decisions are made and how quickly learning occurs. Evidence across entrepreneurship research shows that micro-level strength matters, but it functions within constraints it does not control, such as regulation, market access, and capital structure. The macro level defines those constraints. Regulation, capital markets, labour mobility, infrastructure, education systems, and national development strategies shape what types of ventures can realistically form, scale, and exit. Publicly available ecosystem research indicates that consistent policy signals, regulatory clarity, and credible exit pathways are associated with more durable entrepreneurial activity, independent of individual founder talent. Between these two sits the meso layer, which acts as the system’s connective tissue. Accelerators, incubators, venture studios, universities, angel networks, corporate innovation units, and ecosystem builders translate macro intent into micro-level action. This layer influences selection, norms, and narratives. Its impact is indirect and therefore harder to measure, and public data on its effectiveness remains limited. Ecosystem reports and commentary suggest that misalignment most often appears at the meso level. When early-stage logic is applied indiscriminately across all phases of venture development, later-stage needs such as governance maturity, institutional readiness, and exit infrastructure can remain underdeveloped. Activity increases, but structural depth does not always follow. Takeaways Micro capability, meso translation, and macro structure are interdependent, not interchangeable. Most ecosystem distortion emerges when the meso layer exceeds or confuses its role. NSR is reflected when each layer acts within its remit and reinforces, rather than replaces, the others. https://lnkd.in/eGfBW_KN (Papi & Laado) SVC - Misk Foundation - Ministry of Economy and Planning - MEPsaudi -theGarage - Startup Studio National Technology Development Program - Public Investment Fund (PIF) #Venturecapital - KAUST Core Labs - National Development Fund (NDF)

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