AI Supercharges QSBS Adoption for Founders
Alessandro Chesser, CEO of Dynasty, on supercharging QSBS for founders & investors
This points to a bigger startup funnel, which matters because Dynasty makes money when more people form companies early and need to structure founder stock before it becomes valuable. If AI lets a 2 to 10 person team handle legal paperwork, valuations, and engineering with software agents, then more laid off employees can plausibly become founders, and more of them fit Dynasty's low cost, self serve trust setup model from day one.
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Dynasty is built for the first days of a startup, when founder shares are still cheap to gift into trusts. The company says customers can get started for under $5,000, versus a traditional process that could run into six figures in year one, which makes the product much easier to buy for first time founders.
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The workflow is unusually compressible with AI because it is document heavy and rules based. Dynasty says it has embedded AI into trust creation, gift valuations, and engineering, and runs this with a 10 person team. That means startup formation can rise without headcount at the same rate inside Dynasty.
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There is a second order effect after company creation. More startups eventually means more acquisitions, secondaries, and exits, which is where Dynasty's fees step up from $375 per trust per year to $3,000 post exit, and where bank referral revenue starts when trust cash gets deployed.
The next step is a market where company formation, cap table setup, 83(b) filing, and QSBS trust creation get bundled into one founder onboarding flow. If AI keeps shrinking the minimum viable startup team, the winners in founder infrastructure will be the firms that turn complicated tax and legal workflows into cheap default steps taken at incorporation.