Why Most Accelerators Fail – And What Comes Next
Tuesday, 23 September 2025
On The Forge of the Unicorns with Michele Brissoni I’ve been in hundreds of cities working to support entrepreneurs and ecosystems. One thing I’ve seen over and over again, whether I’m in Boise, Bogotá, or Brussels, is this illusion that we can bootstrap startup economies by launching accelerators. We treat them like vending machines: plug
- Published in AI, Startup Ecosystems
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Abilene Grit, Grid, and Genesis
Tuesday, 10 June 2025
Abilene, Texas, on the surface, might seem like the set of Fallout where a now-restored Texas Film Industry needs a set for a post-apocalyptic Western — a flat, dusty military town with a church on every corner and a Dairy Queen next to it. Scratch that desert veneer (and lack of nuclear fallout) and you’ll
- Published in AI, Data, Regional Development
Founders and Policymakers Need Us at the Table— Before They Decide the Future for Us
Monday, 21 April 2025
With my work increasingly entrenched in Washington, D.C., state capitols, and the public policy battles shaping entrepreneurship and venture capital, I’ve found myself staring down a familiar name in tech: Google. Again. For many of us, the latest antitrust accusations is déjà vu, about privacy, about data, and control – whether it’s Apple, Microsoft, X,
- Published in AI, Economic Development, Search
Trump’s First Few Days for Independents
Thursday, 23 January 2025
In the world of entrepreneurship and startup ecosystems, where disruption, innovation, and venture capital reign supreme, keeping an eye on public policy isn’t just smart — it’s essential. Government actions shape the macroeconomic environment, influence capital flows, and define the rules of the game for the next generation of innovators. With a new administration in
- Published in AI, Economic Development
The Challenges of Regulating AI in a Borderless Digital World
Friday, 03 January 2025
Regulating artificial intelligence (AI) presents unique and profound challenges. AI systems operate across borders, leveraging global datasets, and are influenced by the rapidly evolving nature of machine learning technologies. Governments attempting to impose regulatory frameworks on AI face the dual difficulty of understanding and anticipating the implications of these complex systems while contending with the
- Published in AI
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