SpaceX’s IPO this June, the largest in history, put a $2 trillion number on what markets now believe orbit is worth. It also highlighted a wave of orbital data center announcements: Starcloud training AI models in orbit, Google testing compute satellites, SpaceX itself filing for up to a million satellites to host data centers rather than just relay signal. Space is being valued as infrastructure now, the way markets price ports and grids. That’s healthy. It’s also exposing a problem the industry hasn’t built for yet.
Bottlenecks and Paradigms
Eliyahu Goldratt’s Theory of Constraints says a system’s throughput is set by its most limited resource, and improving anything else does nothing until that constraint is addressed. Launch has been that constraint for the space industry’s entire history, and by that definition it still is today. Starship and its peers are elevating it, exactly as Goldratt’s framework prescribes. But elevating one constraint just exposes whatever sits downstream, and the growth rate of active objects in low Earth orbit, now doubling roughly every two years, means that next constraint is already close behind. A single filing for a million new satellites previews how fast it arrives.
Goldratt finds the bottleneck. He doesn’t tell you which fix matters most. For that, it’s worth borrowing from Donella Meadows’ work on leverage points in systems. Meadows ranked interventions by impact, and adjusting a single parameter, here, launch capacity, sits near the bottom. The highest-leverage move is changing the paradigm the system operates under. The fix isn’t launching more rockets faster. It’s abandoning the assumption that orbital infrastructure has to be built on the ground and shipped up piece by piece in the first place.
Congestion Is a Function of Satellite Count, Not Mass
That paradigm shift matters because the industry is solving for the wrong variable downstream, too. Congestion isn’t primarily a mass problem, it’s a real estate problem, driven by the number of discrete objects that have to be deconflicted and monitored for collision risk. A filing for a million satellites, whatever their mass, proposes a million new nodes in that tracking problem. A thousand small satellites create a harder congestion problem than the same aggregate mass in a hundred larger ones, because the collision-avoidance burden scales with object count, not tonnage. The largest operator of satellites is already moving in this direction. Starlinks have grown from 260 kg to over a ton, in less than a decade.
This trend points to larger satellites, not more. Meeting demand without growing object count means consolidating function into bigger platforms. Elevating launch capacity doesn’t fix that; it just lets you launch more small satellites faster, making congestion worse.
An Ecosystem, Not a Monopoly
There’s a second risk in that trend. The company proposing a million new satellites already controls the launch vehicles that would deploy them, plus the largest existing constellation. That’s efficient for one company’s roadmap. It isn’t resilience for the industry. A resilient orbital supply chain can’t depend on a single vendor’s balance sheet or priorities, for the same reason no defense planner wants a single point of failure in a critical supply chain. Consolidation, manufacturing, servicing, and depot infrastructure need to exist as an ecosystem with multiple capable providers, not concentrated in single vertical integration.
Build the Machines That Build the Machines
There’s a precedent for this, and it isn’t a space example. Ahead of the Second World War, the United States faced enormous demand for tanks, ships, and aircraft with nowhere near the industrial capacity to produce them at the pace required. Wartime mobilization under the Office of Production Management didn’t just throw more labor and raw material at existing lines. It built out the machine tool industry first, the tooling, dies, and precision equipment needed to build the factories that would build the weapons. First, build the machines to build the machines. Only then does mass production become possible.
Orbit needs its own version, spread across enough independent players to function as a genuine ecosystem: consolidation and manufacturing infrastructure that turns already-in-orbit material into the next generation of orbital hardware, without shipping every kilogram from Earth first. That’s the paradigm-level fix Meadows would point to, and it’s the piece almost nobody is funding.
Financing the Shift: A Space Infrastructure Bond
This is where the conversation has to include how infrastructure gets paid for. It isn’t a venture-timeline problem, and it shouldn’t be one company’s capital raise to solve alone. Orbital consolidation and manufacturing infrastructure is closer in profile to a port or a rail line than a startup: high upfront cost, long horizon to payoff, dual-use value across commercial and defense missions, and a return timeline that exceeds what private capital markets are built to hold. Terrestrial infrastructure of that shape has historically been financed through public infrastructure bonds for exactly that reason, because the resulting asset is meant to serve an entire industry, not one balance sheet.
A Space Infrastructure Bond, purpose-built to fund orbital consolidation and manufacturing platforms open to multiple operators, would do the same job here: fund the machine tools of the orbital economy in exchange for the resilience and material independence that infrastructure delivers to every commercial and defense actor downstream of it, not just whoever built it first.
Space isn’t short on launch vehicles or capital. It’s short on infrastructure built for the paradigm the industry now operates under, funded and structured so it belongs to the ecosystem, not to whichever company gets there first.
Greg Vialle is Founder of Lunexus Space Inc. and Chair of the COSMIC Industry Caucus.
