ALL INPredictions
Last updated Nov 29, 2025
Episodes / Fixing the American Dream with Andrew Schulz
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Jason @ 00:51:45Inconclusive
politicsgovernment
If Jason Calacanis ever runs for U.S. president, his stated housing policy platform will include a concrete proposal to build five new American cities, each containing approximately 3 million homes, where purchase eligibility is restricted to buyers under an income cap, and these will be marketed as normal, high-quality homes rather than traditional ‘projects’ or visibly subsidized housing.
When I if I run for president, you know what my position is going to be. Schultz. What's that? I'm going to build five cities with 3 million homes in each. And you can only buy them if you make under X amount per year. It's not going to be like the projects or like, you know, subsidized housing in New York talking about it's not going to be Stuyvesant Town, okay. It's going to be like, nice house.View on YouTube
Explanation

As of November 30, 2025, Jason Calacanis has not run for U.S. president. Current biographical and media references describe him as an entrepreneur, angel investor, and podcaster, including co‑hosting the All-In podcast and This Week in Startups, with no mention of any presidential candidacy or official campaign organization.(en.wikipedia.org) He has been politically active mainly as an endorser and donor, for example backing Dean Phillips’s 2024 presidential campaign, but only in a supporter role rather than as a candidate himself.(en.wikipedia.org) In interview settings he has spoken hypothetically about what his platform would be "when I run for president," including a plan to build new tech cities, but these statements remain speculative and are not tied to an actual campaign filing or declared run.(podscripts.co) Because the prediction is explicitly conditional on Calacanis ever running for president, and that condition has not occurred yet, there is no way to determine whether his actual housing platform would match the detailed scenario described. Therefore, the accuracy of the prediction cannot yet be evaluated.