Eric is joined by Dustin Tropp, founder of Republican Jobs, to unpack the 2026 Political Careers Survey — 427 political professionals on pay, benefits, and whether they're sticking around.

The headline finding: it's not the job that determines whether campaign work is a real career, it's the employer. Staff at a firm or committee report just 16% with zero benefits. Staff hired directly by a campaign? 64% with nothing. Same candidates, same work, wildly different security — and Dustin explains why campaigns can't fix it on their own.

They also get into why senior campaign hires are taking two to three months to fill this cycle, why hiring is shifting from March to November, what happens once a staffer crosses the $125K mark, and why field organizers — the least automatable job in politics — are still among the worst paid. Plus: what the survey found on AI (42% say it's changed how they work, only 12% see it as a threat), and why employers aren't paying for the extra output they're getting from it yet.

Dustin also shares real-time hiring data most surveys miss: 107 open roles, where the shortages are worst, and what he's telling clients about paying below-market rates.

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Can you trust a poll when no human ever picked up the phone? Eric sits down with Matthew Hanauer, co-founder of Civly, to unpack synthetic polling — building AI simulations of real, individually-modeled voters (using public voter file, demographic, and donation data) to predict how they'd respond to a survey. Matt walks through how Civly back-tests its models against real election results, why asking AI yes/no questions produces unrealistically extreme answers, why piling on more data (like social media) can actually make predictions worse, and how turnout modeling benefits from more than just "did they vote last time." Eric and Matt land on where AI polling actually fits into a campaign's toolkit in 2026: filling the gap for downballot races that could never afford a traditional poll, and pressure-testing messages before committing budget to the real thing.

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Opposition research has always rewarded whoever digs deepest. AI is changing who can afford to dig — and how much stays buried. This week, Eric Wilson sits down with John Artunkal, founder and CEO of Argus AI, who came to politics through open-source intelligence, trained by Bellingcat and schooled at Oxford in the social science of the internet.

They get into how AI is — and isn't — transforming the vetting business: digital footprint mapping, facial recognition, and linguistic forensics; why self-vetting is now table stakes for down-ballot candidates; and the trade-off every research tool has to make between flagging too much and missing the one thing that ends a campaign. John also makes the case that candidates shouldn't over-sanitize themselves. Voters reward authenticity — the job is knowing the difference between a rough edge and a career-ender.

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