Roughly 1 in 7 of the average San Francisco entrepreneurs’ Linkedin connections is to another founder. Austin, New York, Denver and Los Angeles aren’t far behind. By the time you reach Philadelphia, Washington DC and basement-dwelling Houston, it’s dropped to fewer than 1 in 10.
“It’s an indication of learning. They’re learning best practices, where their next customers are going to be,” Raghavan said. (Dallas-Fort Worth is the only exception of a big region that saw high-entrepreneurship gains, but relatively low founder-to-founder connections. No explanation for that yet.)
The gap between big regions widens further when you look at founders’ connections to investors. San Francisco has roughly twice the founder-to-VC connection density of other metros, a structural advantage that persists even as formation rates spread.
The implication: You can start anywhere, but your network still determines what happens next.
Gen Z entrepreneurs: Relying on AI and holding multiple jobs
LinkedIn's research found that 68% of Gen Z entrepreneurs say AI and digital tools are important to their business — more than twice the rate of Baby Boomers (27%). Nearly one in five Gen Z founders said AI made starting their business feel possible.
Where will they do their biggest building? Broadly, Americans are still moving to the Southeast and Southwest, and young people say for lifestyle reasons (like cheaper housing) – but big dynamic urban centers are continuing to attract Gen Z, like they did with Millennials before them.
What economic development leaders have to care about is what they do when they arrive. If this Linkedin research holds, it looks like Philadelphia, Houston and Charlotte are attracting young people just fine. But they aren’t as economically dynamic as those young people going to Austin, Seattle and Los Angeles. Smaller regions and rural counties have similar variation: growing or shrinking in population doesn’t correlate neatly with the newest analysis on whether their entrepreneurial outcomes are growing or shrinking.
Might AI tip the scales? Raghavan sees this as the latest in a series of structural cost reductions. AWS in 2005 eliminated the need to buy server racks. COVID forced remote-first experimentation. Now AI is lowering barriers again.
“Imagine you're a hotel owner,” he said. “People are using AI to analyze data on occupancy and pricing, to offer different rates — where before that analysis would take many hours. People are building websites, marketing collateral. Structurally, the cost of a lot of this has come down, especially for solopreneurs.”
But there’s wide geographic variation in AI adoption, and the question of whether AI favors new firms or incumbents remains open.
“In the United States, if you look at the history, it's always been a pretty dynamic place,” Raghavan said. “Incumbents can't move as fast as nimble startups. Entrepreneurs get close to the customer. They're obsessed about product-market fit. They don't have the luxury of a big revenue stream.”
He paused. “That’s the way I see it.”