The Coalition and the Chorus: Why Crypto's Political Machine Outpaced the AI Super PACs

There is a particular kind of silence that settles over a market when the real action has moved somewhere else. You feel it before you can name it. The candlesticks keep printing, the funding rates keep oscillating, the timelines keep refreshing — and yet the thing that will actually determine the next three years is happening in a room nobody is streaming. Watching the silence between the candlesticks has become, for me, the most reliable discipline in more than a decade of reading markets. And right now that silence is emanating from Washington, where two of the most capitalized industries in human history are quietly discovering that money is not the same thing as influence. The story, as it has been reported, is deceptively simple. An AI-aligned super PAC attempted to replicate the electoral playbook that the crypto industry refined during the 2024 cycle, and it failed. The crypto coalition won where the AI coalition stalled. Most readers will file this under "politics" and move on. That would be a mistake. What failed in the AI camp and succeeded in ours is not a marketing strategy or a messaging problem. It is a structural phenomenon — a lesson about coordination, incentive convergence, and the geology of collective action. For anyone holding digital assets, it is a signal worth decoding with the same care we apply to a token unlock schedule. To understand why the comparison matters, you need to understand the machinery. A super PAC — a super political action committee — is an American legal construct that can raise unlimited funds from individuals and corporations, spend them independently to support or oppose candidates, and operate free of the contribution caps that bind ordinary committees. What it cannot do is coordinate directly with a candidate's campaign. It is, in effect, an outsourced persuasion engine: a way to convert capital into electoral outcomes while maintaining a thin veneer of independence. The Federal Election Commission oversees the whole apparatus, and the disclosure regime means that, in theory at least, the money trail is traceable. The disclosure regime is imperfect, and the boundaries of "independent" expenditure are perpetually contested, but the structure exists, and it is the structure that matters for our purposes. What crypto understood — and what AI did not — is that a super PAC is not a weapon; it is an instrument. Its effectiveness depends entirely on whether the people funding it can agree on what they want it to do. Crypto learned to use this machinery with unusual discipline. Over the 2024 cycle, the industry's political organizations concentrated their firepower on a small number of races and an even smaller number of legislative objectives. The organizing principle was almost brutally simple: support candidates who would vote for a clear, permissive regulatory framework, and oppose those who would not. There was no attempt to litigate every nuance of policy, no attempt to reconcile the philosophical differences between a Bitcoin maximalist and a DeFi anarchist. The coalition was held together by a single, shared, existential need — legal clarity — and everything else was noise to be filtered out. The AI industry, by contrast, arrived at the same table with a far more complicated appetite. Its participants do not agree on what they want. One faction, broadly the safety-oriented camp, believes that aggressive regulation is not merely acceptable but necessary — that the risk of unconstrained model development is existential and that guardrails should be erected before capabilities outrun oversight. Another faction, the acceleration camp, views any binding restriction as a competitive handicap and wants the lightest possible touch. These are not tactical disagreements about how to achieve a shared goal. They are disagreements about what the goal should be. And you cannot build a coalition out of people who are lobbying for opposite outcomes. This is where the story stops being about politics and starts being about structure. I spent years auditing tokenomics before I ever wrote about policy, and the discipline transfers more cleanly than you might expect. When I reviewed more than forty whitepapers in 2017 for a fund that has since been dissolved, I was not looking for the most inspiring vision. I was looking for the fault lines — the place where the incentive design would eventually crack under stress. Coalitions, whether they are token holder communities or political action committees, obey the same underlying physics. They hold together when the members' interests converge, and they fracture when those interests diverge. The crypto coalition held. The AI coalition did not. That is the entire story, and everything else is commentary. In 2020 I managed a small DeFi-focused fund and wrote a Python script to track liquidity flows across a single automated market maker. The lesson I took from that period was not about the returns — it was about how quickly a system reveals its true incentive structure once you watch it long enough. The same is true of political coalitions. You do not learn their real priorities from their press releases. You learn them from where they spend, and where they stay silent. The pattern emerges from the chaos of noise. Consider what each industry actually needed from the state. Crypto needed one thing above all: to be left alone to operate, or better, to be granted a clear statutory framework that would let it stop fighting a war of attrition against ambiguous enforcement. That is a unidimensional ask. It does not matter whether you are a stablecoin issuer, a centralized exchange, a miner, or a custody provider — you all benefit from the same outcome. A clearer rulebook lowers your cost of capital, reduces your legal exposure, and opens the door to institutional money. The interests converge because the ask is singular. AI needs many things, and they point in different directions. A frontier lab that wants to deploy models at scale needs regulatory restraint. A safety researcher wants binding pre-deployment testing. A smaller application-layer company wants no rules at all, because it lacks the compliance budget to survive them. An open-source collective wants the freedom to publish weights without legal jeopardy. These are not variations on a theme. They are competing visions of what the technology should become, and each one implies a different regulatory posture. When you try to convert that into a lobbying position, you get paralysis — or worse, you get a coalition that is quietly working against itself. There is a second structural asymmetry that deserves more attention than it has received. Crypto's political unity is reinforced by what I would call an external adversary — a regulatory posture that the industry perceives, rightly or wrongly, as punitive. Nothing unites a fractious group like a common threat. The enforcement actions that followed the collapse of major centralized lenders, and the sanctioning of privacy-preserving protocols, gave the industry a shared narrative of persecution, and that narrative did more to align incentives than any amount of conference-circuit diplomacy. The AI industry has no equivalent adversary. There is no single regulator wielding a hammer that everyone fears in equal measure. Without an external pressure, the internal fissures have nothing to push against, and they simply widen. Here is where my own biases must be declared, because they shape what I see. I have written before about the precedent set when software itself becomes a target of enforcement — when the act of publishing code is treated as a regulated activity, the legal risk is distributed across every open-source developer in the ecosystem, not just the entity named in the complaint. That is a structural hazard, not a rhetorical one. It also, paradoxically, explains why the crypto coalition has been so motivated. When you believe that the state is coming for the tools themselves, coordination stops being optional and becomes survival. The AI industry has not yet had its equivalent moment, and I suspect it will not, because the politics of AI risk are being fought inside the industry rather than between the industry and the state. There is a further wrinkle that complicates the clean narrative of two separate industries: they are not actually separate. Some of the most influential venture capital firms sit on both sides of the table, funding crypto infrastructure and AI labs with the same balance sheet. This overlap means the two coalitions share donors, share advisors, and share a certain worldview about technological progress. On paper, that should make the AI camp stronger — it has access to the same political machinery. In practice, it makes coalition-building harder, because the capital that funds both industries does not necessarily want them to lobby for the same things. A fund that holds positions in a frontier AI lab and in a stablecoin issuer has a genuine conflict when the regulatory interests of those two holdings diverge. Ambiguity of interest, like ambiguity of mission, is corrosive to coordinated action. What the AI super PAC's failure really reveals is that there is a market most people never think to price: the market for policy influence. In that market, crypto is currently the incumbent with the strongest product. The "users" are legislators. The "product" is a coherent, legible ask that a lawmaker can act on without having to become an expert in the underlying technology. Crypto's focused legislative approach functions like a well-designed interface: it reduces the cognitive load on the decision-maker. You do not need to understand zero-knowledge proofs to vote for a market-structure bill; you just need to know which way your donors and your district lean. AI's ask, by contrast, is a labyrinth. To legislate on AI you must first adjudicate a philosophical dispute about the nature of the risk, and that dispute is not resolvable by a single vote. Flow follows the path of least resistance, and legislators are no exception. They will gravitate toward the coalition that makes their job easier, that offers a clear position they can adopt, and that does not force them to choose sides in someone else's civil war. The crypto industry, almost by accident, built exactly that. The AI industry, almost by design, built the opposite. And the consequence is not merely that AI lost a round; it is that the machinery of influence has revealed which industry is capable of operating it. Now let me argue against the story I have just told, because the clean version is too clean, and the assumption buried inside it deserves to be excavated. The implicit thesis of the comparison is that crypto's political success is a replicable methodology — a playbook that any sufficiently capitalized industry could copy. I am skeptical. What looks like a strategy may be, in significant part, a product of timing. The 2024 American election cycle offered a rare confluence: a presidential race, a set of Senate contests in which crypto-friendly candidates could plausibly tip the balance, and a public mood receptive to the idea that the existing financial regulators had overreached. That window is not guaranteed to reopen. A methodology that only works in a specific cycle is not a methodology; it is a moment. If you mistake the moment for a method, you will misprice the sustainability of the entire narrative. There is a subtler risk, too. The crypto coalition's unity is, I suspect, a unity of convenience rather than conviction. It is held together by a shared demand for lighter regulation, and that demand is broad enough to accommodate almost anyone — until the specific legislative goals are actually achieved. Watch what happens if a comprehensive market-structure framework passes. The moment the common enemy retreats and the shared goal is met, the interests that were temporarily aligned will begin to diverge again. Stablecoin issuers and decentralized protocols do not actually want the same world; they were merely willing to stand in the same room while the room was under attack. The durability of political influence depends on what happens after the victory, and no one is pricing that. This connects to a longer-standing concern of mine about how the industry mistakes regulatory clarity for asset value. The chain of reasoning goes: political influence produces favorable legislation, favorable legislation produces regulatory certainty, regulatory certainty produces institutional inflows, and institutional inflows produce higher prices. Each link in that chain is real, but each is also slow, uncertain, and capable of breaking. The mistake is to treat the first link — a political win — as if it were the last. It is not. Patience is the leverage that never depreciates, and the impatience that treats a PAC's electoral record as a price catalyst is the same impatience that gets punished in every cycle. The industry has a habit of this. It mistakes the removal of an obstacle for the creation of value. When bridges were celebrated as the connective tissue of a multi-chain future, few stopped to ask whether the security assumptions could survive the value they were meant to carry; the cumulative losses that followed were the price of a narrative that outran its engineering. Political influence carries the same temptation. It feels like progress because it is visible, because it is expensive, and because it signals that the industry has arrived. But visibility is not the same as durability, and the two should never be priced as equivalents. And there is a genuine second-order risk that cuts the other way. If the AI industry's political dysfunction persists, the most likely outcome is not that AI fades from the policy agenda — it is that AI regulation becomes the dominant policy preoccupation, absorbing the attention and the political capital that might otherwise have gone to crypto. Attention is a finite resource in Washington, just as liquidity is a finite resource on-chain. When one sector monopolizes the legislative calendar, the others are crowded out. A world in which AI is the center of the regulatory conversation is a world in which crypto's own legislative priorities may quietly slip down the queue. The comparison that flatters us — "our coalition is more mature than theirs" — may be obscuring a slower, more consequential shift in where the scarce attention is flowing. I should also be candid about the informational limits of this analysis. The reporting that triggered it is thin — a handful of summary-level observations, without the specific PAC names, expenditure figures, or timestamps that would let an analyst verify the claims. I have learned to treat such accounts as directional rather than definitive. Harvesting the liquidity that others overlook also means discounting the narratives that others overbuy, and a narrative this flattering to the crypto industry deserves a higher-than-usual discount rate. So where does this leave the patient observer? The takeaway is not that crypto has won some permanent seat at the table, nor that AI has been permanently excluded. It is that political influence, like every other scarce resource in this industry, is governed by structure rather than sentiment. Coalitions that share a single, legible interest will always outperform coalitions that are internally at war, and the same logic that determines which protocols attract liquidity will determine which industries attract legislative favor. The mechanism is the same; only the medium has changed. What I would watch, then, is not the headline of the next election but the quieter signals underneath it. Does the crypto coalition hold together once its first major legislative objectives are met, or does it fragment the way every temporary alliance eventually does? Does the AI industry discover a common adversary and suddenly find the unity it now lacks? And does the scarce attention in Washington continue to flow toward the industry that makes the decision-maker's job easiest? Before the bubble, there is only belief — and in the policy market, belief is cheap until it is tested by a vote. The silence between the candlesticks will tell you more than the candlesticks themselves. Right now, it is telling us that the most important battle in this cycle is being fought not over blockspace, but over the attention of a few hundred people who have never opened a wallet. The industry that learns to speak their language in a single, coherent voice will inherit the regulatory map. The industry that cannot will keep paying for its own noise.