Who governs the orbital commons? Starlink dominance, Kessler risk, and space industrial policy
Who Owns the Sky? How One Company, One Old Treaty, and One Domino Effect Put Space at Risk
Based on analysis of a 114-node, 414-edge knowledge graph exploring orbital governance, megaconstellation dominance, and cascading debris risk.
The Parking Lot in the Sky
Imagine outer space — specifically the band of sky just above Earth where satellites orbit — as a giant parking lot. It is a shared resource, like a public road, except nobody built it and nobody owns it. There is a treaty from 1967 that says the parking lot belongs to everyone, but it does not say who gets to direct traffic, who pays for cleanup, or what happens when someone parks badly and blocks everyone else.
That 1967 treaty — the Outer Space Treaty, or OST — is the single most important fact in this analysis. With connections to 27 other nodes in the knowledge graph, it functions less like a governance document and more like a permission slip for dysfunction. It says what countries cannot do (own territory, place nuclear weapons in orbit) but says almost nothing about what they must do. And crucially, it cannot be amended without unanimous agreement from all signing nations — which means it has not been meaningfully updated in nearly 60 years, despite the parking lot filling up dramatically.
SpaceX Built a Tollbooth Before Anyone Built the Road
One company, SpaceX, figured out something important early: the parking lot had no attendant. If you filled it fast enough, you could shape the rules of the road in your favor.
SpaceX’s Starlink network now has thousands of satellites in low Earth orbit — more than any other operator by a wide margin. The knowledge graph identifies two separate self-reinforcing cycles that explain why this position is so hard to dislodge.
The first cycle: SpaceX’s operations generate revenue, which funds more launches, which generates more revenue. The second cycle: the US military pays SpaceX for launch services (this is called the National Security Space Launch program), which funds commercial expansion, which makes SpaceX’s launch costs lower, which makes it even more attractive to the military. These two cycles run simultaneously and independently. To meaningfully change SpaceX’s dominant position, you would need to interrupt both at the same time — which is much harder than interrupting either one alone.
There is also a regulatory wrinkle. The US Federal Communications Commission (FCC) requires satellite operators to deorbit their satellites within five years of the end of their mission, to reduce debris. This sounds like a safety rule that applies equally to everyone. But because SpaceX already operates at massive scale, the costs of compliance are spread across thousands of satellites, making each one cheaper to comply with. A new entrant with fewer satellites faces the same fixed compliance costs spread across far fewer satellites. The rule, designed to improve safety, accidentally makes SpaceX’s competitive position stronger. The knowledge graph labels this relationship “paradoxically entrenches.”
The Trash Problem Nobody Has to Pay For
Here is the central governance failure in the graph, explained simply: satellites eventually break down or run out of fuel. When they do, they become debris — fast-moving junk in orbit. Cleaning up that junk is technically possible (this is called Active Debris Removal, or ADR), but expensive, and whoever pays for it does not directly profit from the cleanup. The benefit goes to everyone who uses orbit, not just the cleaner.
Economists have a name for this: a “public goods” problem. Clean water, clean air, safe roads — these are all things where one person’s payment benefits everyone, which means each individual has little reason to pay. The knowledge graph calls this the “ADR Public Goods Market Failure,” and it connects directly back to the 1967 treaty, which created no funding mechanism for orbital commons maintenance.
The graph’s proposed solution — an “Orbital Use Fee,” essentially a tax on satellite operators that funds cleanup — faces a remarkable amount of opposition within the graph itself. SpaceX resists it. The IPO process undermines it (because shareholders prefer lower costs). Countries that allow “flag of convenience” satellite registration — essentially shopping for the most permissive regulator — undermine it. The only governing body that could mandate it, the United Nations Committee on the Peaceful Uses of Outer Space (COPUOS), is paralyzed by consensus requirements. The graph shows more high-weight resistance edges than support edges for this mechanism, meaning the most economically logical solution to the debris problem is also the most politically blocked one.
The Domino Nobody Wants to Fall
All of this matters because of one node at the center of the graph with 51 connections: the Kessler Cascade Mechanism.
A Kessler cascade is named after a NASA scientist who described what happens if debris density in orbit gets high enough: one collision produces more debris, which causes more collisions, which produces more debris, in a chain reaction. At a high enough density, this becomes self-sustaining — the parking lot fills with wreckage and becomes unusable for decades or centuries.
The graph shows Kessler as a destination that many paths lead to, not a cause of other things. More satellites means more density. More density means higher collision probability. More weapons tests (several countries have deliberately destroyed their own satellites to test anti-satellite weapons, producing large debris clouds) add more fragments. The failure to fund cleanup adds more persistent junk. The inability to coordinate internationally means no one is managing total density across the whole orbital shell.
The consequences the graph connects to Kessler are not abstract. GPS timing infrastructure — which underpins not just navigation but financial transactions and telecommunications networks — depends on satellites remaining operational. India’s real-time payments system (UPI), specifically, appears in the graph as a GPS-timing-dependent system. Agricultural early warning systems that predict crop failures depend on satellite imagery. Pharmaceutical manufacturing experiments that can only be conducted in microgravity would be disrupted. The graph’s edge from Kessler to GPS financial infrastructure carries a weight of 10 — the maximum in the system.
Three Non-Obvious Things the Graph Shows
First: cleaning up debris and protecting the ozone layer are in direct conflict. When satellites reenter the atmosphere, they burn up. Those made with aluminum components release aluminum oxide into the stratosphere. Faster deorbit (mandated by the FCC rule to prevent Kessler) means more aluminum oxide, which damages the ozone layer. Slower deorbit protects the ozone layer but risks Kessler. The graph marks these as in explicit conflict, and identifies no governance body or regulatory framework that is trying to optimize across both risks simultaneously. These two environmental problems are handled by entirely separate policy communities that do not currently coordinate.
Second: the technology needed to clean up debris is physically identical to the technology needed to destroy other countries’ satellites. Active debris removal requires a spacecraft that can approach, match velocity with, and interact with another object in orbit. So does an anti-satellite weapon. Any country that demonstrates ADR capability is simultaneously demonstrating ASAT capability — and other countries will treat it that way. This means that international cooperation on debris cleanup, which is the most obvious solution to a shared problem, is structurally blocked by the fact that the cleanup technology is indistinguishable from a weapon. The graph gives this relationship a weight of 9 out of 10.
Third: space insurance is the only governance mechanism that currently works — but it is guaranteed to fail at the moment it matters most. Private insurers price orbital risk and thereby create incentives for operators to behave more safely. This functions as informal governance where formal governance does not exist. But insurance works by spreading known, bounded risks across a pool. A Kessler cascade is not a bounded risk — it is a tail event that could make most of orbital space unusable. The graph specifically notes that insurance “cannot price beyond” cascade risk. The mechanism that fills the governance gap cannot handle the scenario where the gap matters most.
China Wrote the Playbook Twice
The knowledge graph draws an explicit connection between China’s electric vehicle manufacturing strategy and its satellite manufacturing strategy. In EVs, China achieved cost reductions of roughly 96% over the course of building a domestic industry at scale. The graph treats the satellite version as a direct replication of the same industrial policy playbook.
The implication: if satellite manufacturing costs fall as dramatically as EV costs did, the competitive dynamics of who can afford to build and operate large satellite constellations change significantly. Countries currently purchasing satellite connectivity from Western providers — and tied to those providers by US technology export restrictions (ITAR) — could face a situation where a technically comparable alternative exists at dramatically lower cost. The graph tracks this through nodes called the “Global South Orbital Sovereignty Trap” and “ITAR Allied Constellation Dependency Lock-in.” Whether allied nations maintain current procurement patterns under cost pressure is identified as testable by tracking Global South procurement decisions in the next few years.
The Solar Wildcard
One underappreciated node in the graph: the sun’s own 11-year activity cycle affects debris persistence. During periods of high solar activity, the atmosphere expands slightly, increasing drag on low-orbit debris and causing it to reenter faster — naturally cleaning up some junk. During low solar activity, debris lingers. This means Kessler risk oscillates on an 11-year cycle, independent of human decisions. The graph does not resolve whether this creates periodic windows for governance action or simply reduces urgency during solar maximum in ways that allow problems to accumulate.
Bottom Line
The knowledge graph’s structural findings, taken together, suggest four things that are not obvious from reading any single news story about space:
The root cause is absence, not action. The 1967 Outer Space Treaty’s lack of enforcement, funding mechanisms, and amendment procedure is the structural root of nearly every other problem in the graph. It is not that governance failed — it is that consequential governance was never built.
SpaceX’s position is reinforced by two independent loops simultaneously. This means competitive pressure from a single entrant is unlikely to change orbital dynamics the way conventional market competition would, because both loops would need to be interrupted at the same time.
The only working governance mechanism (insurance) is the one guaranteed to fail at scale. The gap between what insurance can cover and what a Kessler cascade would cost is documented in the graph as the “$6B vs. $626B gap” — the difference between insured orbital assets and the economic value of the GPS and satellite infrastructure that would be disrupted.
The ozone-Kessler tradeoff has no resolution node. The graph contains no mechanism, no institution, and no proposed regulation that attempts to optimize across both risks. This is a policy blind spot with a name: the two communities that work on orbital debris and stratospheric ozone do not currently coordinate, and the FCC’s main debris rule makes the ozone problem worse.
The graph does not predict a Kessler cascade. It maps the structural conditions under which one becomes more likely, and identifies the specific places where governance either does not exist, has failed, or is actively blocked by the economic and geopolitical dynamics it would need to regulate.