Buying Both Doors
Metadata
- Target length: ~1,500 words
- Word count: ~1,530 words
- Date: 2026-03-15
A voter in Chicago's northwest suburbs sees an attack ad. It's about ICE. Then another -- this one about healthcare costs. Then a third, hitting a candidate for being soft on Trump. Standard midterm fare. The issues track. The outrage tracks. Nothing about these ads would make you look twice.
Now pull the FEC filings behind them. Sixty-two million dollars is flowing into four Illinois Democratic primaries from AI, crypto, and AIPAC PACs. Leading the Future -- the AI industry's flagship super PAC -- transferred $5 million to Think Big (its Democratic arm) and $5 million to American Mission (its Republican arm). A perfectly balanced bipartisan bet. Meta spent $65 million building the same architecture from the corporate side: Forge the Future for Republicans, Making Our Tomorrow for Democrats.
Not one of those ads mentions artificial intelligence. Not one.
The ads are about what voters care about. The money is about what the industry needs. That gap is the tell.
The Architecture of Both Doors
There's a word for what's happening here, and it isn't lobbying.
Traditional lobbying persuades legislators after they're elected. What the AI industry is doing operates upstream -- selecting candidates before they're nominated. Call it bilateral capture: the systematic funding of candidates in both parties' primaries so that regardless of which party wins a given seat, the winner was pre-approved by the industry that needs to avoid regulation.
The mechanism has three moving parts. First, the dual-PAC architecture. Leading the Future doesn't just lean one way and hope for the best -- it runs formally connected PACs for each party, splitting funds with the precision of a hedge fund rebalancing a portfolio. Meta built a separate but identical structure. This isn't coincidence. It's financial engineering designed so that the partisan outcome of any given race is irrelevant to the policy outcome.
Second, the ad misdirection. As NBC News documented, both pro- and anti-regulation AI PACs run ads about immigration, healthcare, and Trump -- never about AI. Why? Because 69-80% of Americans want more AI regulation, not less. The industry's actual agenda is wildly unpopular, so the transaction has to be laundered through issues voters already care about. Brad Carson, who runs the pro-regulation Public First PAC, said it plainly: "We know AI isn't the first thing on every voter's mind when they go to the polls."
Third, the harvest. And the harvest is already coming in -- before the 2026 elections have even happened. In September 2025, the venture capital firm Andreessen Horowitz published a dormant commerce clause argument for preempting state AI laws. Three months later, that argument became the legal backbone of a Trump executive order creating an "AI Litigation Task Force" to challenge state regulations. A VC firm's legal theory became federal policy. Meanwhile in New York, Governor Hochul crossed out the entire text of the RAISE Act -- "widely regarded as the furthest-reaching" state AI law in the country -- and replaced it with industry-preferred language. Ron Conway, a Leading the Future donor, had held fundraisers for Hochul while opposing the bill for months.
Now -- a necessary concession here. The industry's stated policy preference isn't crazy. Over 1,200 state-level AI bills were introduced in 2025, creating a genuine compliance nightmare. One startup, PerceptIn, budgeted $10,000 for compliance and spent $344,000 before shutting down. The argument for a coherent federal framework over fifty contradictory state regimes is substantively defensible. It's the same position we take on pharmaceutical approval and financial regulation.
But the appropriate response to regulatory fragmentation is democratic deliberation over a federal framework -- not industry pre-selection of the legislators who will write it. The policy preference is reasonable. The method is the problem.
The Proof of Concept
If this sounds theoretical, it isn't. Someone already ran this experiment.
Fairshake, the crypto industry's super PAC, spent roughly $290 million in the 2024 cycle using the same bilateral architecture: Fairshake itself for both parties, Defend American Jobs for Republicans, Protect Progress for Democrats. The results were not abstract. Sherrod Brown -- progressive banking committee chair, top opponent of cryptocurrency -- was defeated after the industry poured $40 million into the race. The GENIUS Act stablecoin legislation passed. Industry-friendly regulators were confirmed.
And the operative who ran Fairshake's Democratic strategy? Josh Vlasto, former aide to Chuck Schumer. He's now a top official at Leading the Future. Same person, same playbook, new industry. The bilateral model isn't being invented for AI. It's being replicated.
Then there's Alex Bores. A former Palantir data scientist who left the company in 2019 when it renewed its ICE contract. He became a New York state assemblymember, co-authored the RAISE Act -- the strongest state AI law in America -- and earned a spot on Time's 2025 AI 100 list. Now he's running for Congress. And Think Big, Leading the Future's Democratic-aligned PAC, has spent over $1.8 million in negative ads against him. The money comes from a PAC backed by Palantir co-founder Joe Lonsdale. The attack ad's message? "Alex Bores' tech company works for ICE." The industry he tried to regulate is using his own resume as a weapon against him.
Here's where the political science matters, though. Money doesn't mechanically determine who wins. AIPAC spent $14.5 million to defeat Summer Lee in 2024 and failed. The relationship between spending and outcomes is probabilistic, not deterministic. But bilateral capture doesn't need a 100% success rate. It needs a high enough success rate to change the calculation for any candidate considering a pro-regulation position. In low-turnout primaries -- where a few million dollars can constitute a majority of all spending -- the marginal impact per dollar is enormous. And the fact that Anthropic put $20 million into Public First, a pro-regulation counter-PAC, proves this is a choice by specific actors, not an inevitable feature of industry participation. But the spending ratio is roughly 6:1 anti-regulation. A 6:1 ratio is not a debate. It's a purchase.
The Real Election
Zoom out. What makes bilateral capture different from ordinary political spending is not the amount -- it's the target.
Traditional lobbying tries to influence legislators after they're seated. Bilateral capture selects them before they're nominated. The decisive moment moves upstream to the primary, where turnout is low, voter awareness is minimal, and the general election becomes a formality -- a choice between two pre-approved options. This is the difference between playing the game and rigging the bracket.
And it's not just AI. AIPAC perfected this model -- over $100 million in bilateral primary spending in 2024, ads about everything except Israel, a 70% win rate in contested Democratic primaries. Crypto proved the model could be replicated. AI is scaling it. Whatever industry needs to avoid regulation next will adopt it.
Citizens United is the infrastructure. Billionaire election spending has increased 163x since 2010. Over 80% of 2024 billionaire spending used channels that were prohibited before that decision. Bilateral capture is the most sophisticated expression of a fifteen-year trend -- and it needs to be named now, while the mechanism is still visible. Once the primaries are over and the captured candidates are seated, the architecture disappears into the ordinary noise of congressional voting.
The 2026 primaries are underway. The money is already spent. The ads are already running -- about everything except what the money wants.
Here's the question I can't shake: if bilateral capture works, how would you know?
The election still happens. The voters still vote. The winner still gives a victory speech about fighting for working families. Everything looks like democracy. Everything feels like a choice.
The question is whether anything that happened before the ballot was printed still counts as one.
Writer's Notes
- Structural deviation from outline: The outline specified ~300 words for the opening "Gap" section. I compressed it slightly to keep the piece under 1,500. The juxtaposition lands in about 250 words, which felt sufficient given that the evidence is concrete enough to not need additional build-up.
- Misdirection framing: Followed the outline's note carefully -- framed the ad content pattern as "the ads are about what voters care about; the money is about what the industry needs" rather than implying deliberate voter deception. This is more analytically defensible and, per the outline, ultimately more damning.
- AIPAC reference: Kept it surgical -- two sentences, structural parallel only, no moral commentary. "AIPAC perfected this model" is the claim; the details stay on mechanism, not on Israel-Palestine.
- Tone arc: The piece opens reportorial (specific FEC data, Chicago voter scene), builds analytical confidence through the middle sections, gets closest to anger in the Bores case ("the industry he tried to regulate is using his own resume as a weapon"), and pulls back to a quieter register for the close. The final question is deliberately left unanswered.
- Counterarguments woven in: The patchwork problem gets a full concession paragraph in "Architecture." The political science evidence on spending effectiveness gets honest treatment in "Proof of Concept." Neither interrupts the flow with a dedicated steelman section. Anthropic's counter-spending is framed as evidence that capture is a choice, not inevitability.
- Voice concern: The piece is tighter and more investigative than most corpus articles, which run longer and have more room for register shifts and asides. At ~1,500 words, there's less space for the voice's characteristic digressions. The parenthetical personality is thinner than in longer pieces. This was a conscious trade-off for density.
- Fact-check flags: The "$62 million" figure for four Illinois primaries comes from WBEZ and includes AIPAC + crypto + AI money converging. The PerceptIn $344,000 compliance figure should be verified against the original Harvard Kennedy School research. The "69-80%" polling range on AI regulation support aggregates multiple polls -- the specific sourcing should be pinned down.
- Epistemic honesty: The piece names the strategy before the results are in, as the outline specified. This is framed as a feature (naming it while the window is open) rather than hidden as a weakness. The Fairshake precedent carries the "does it work?" burden.