Thousands of young entrepreneurs are coming to San Francisco in 2026 to be part of the Artificial Intelligence (AI) boom. They are creating an AI ecosystem of tens of small firms and start-ups around the city’s established AI behemoths--OpenAI, Anthropic, ScaleAI, Google.

They are reviving the city’s struggling economy—one that even in 2026 is bogged down with a hollowed out downtown and empty storefronts. But their main impact may be beyond the economic. Over the past half century, the city’s culture has descended into one of entitlement, complacency and self-absorption. The new entrepreneurs are bringing an ambition, a desire to build, to find new ways of improving daily tasks as well as addressing bigger challenges, such as in disease prevention and treatment.

Further, they are bringing new thinking about work, not tied to the nine-to-five routines, as well as new thinking about entrepreneur collaborations and communities. In place of San Francisco’s decaying arts bohemia of poseurs and charlatans, they can be said to be creating an alternate bohemia.

The Earlier Wave of Tech Entrepreneurs

A decade or so ago, an earlier wave of tech entrepreneurs poured into the city, drawn by the presence of Salesforce, Twitter, Uber and the other established tech giants. They were the subject of attack by the city’s cultural commissars on the left. Salon magazine founder, David Talbot, wrote a series of columns in the San Francisco Chronicle complaining that the tech entrepreneurs were invading his Bernal Heights neighborhood. “The new tech money is invading our oasis, but the street still feels anchored around the committed San Franciscans who came here following a dream that did not simply involving getting rich,” Talbot declared.

Novelist David Eggers lamented the business orientation of the tech entrepreneurs. Journalist Rebecca Solnit complained that tech culture was at base “a culture of disconnection and withdrawal.”

But time proved these critics wrong on several levels. The new tech businesses brought advances in economic and social connections and inclusion. Kiva and other crowdfunding companies created new forms of lending to microbusinesses and other small businesses. AirBnB, Getaround and Taskrabbit created opportunities for individuals to be part-time entrepreneurs and earn income on the side. Even the tech start ups that did not survive (which were the majority of these start-ups) often contributed to the knowledge base in various fields. Mentored, Workpop and CareerArc no longer exist but were start-ups that contributed to advances in job placement.

The AI Ecosystem and Its Community

Gabe Fried is one of the young entrepreneurs in the current AI ecosystem. Fried graduated from Brown University in 2017. He worked as an analyst at the prominent quantitative trading firm Jane Street in New York, and then spent several years in Washington DC as a Congressional staffer and founder of an advocacy group advancing scientific research to prevent future pandemics.

Convinced that AI represented the next great economic transformation, Fried moved to San Francisco in late 2024, and immersed himself in the AI ecosystem. “Like many of my colleagues in their twenties and thirties, I saw that AI was going to play a powerful role in society, and wanted to be part of it and make sure that the role was positive. It was clear to us that AI capabilities were creeping up to the point where they reached human level at many tasks.”

Fried moved into a house in the Mission District, where he continues to live today with nine roommates—nearly all of them involved in AI. One is an economist studying the impacts of AI on jobs, two others are at non-profits researching AI’s mpact on national security, one works for a major AI lab, and four others are at various start-ups.

Fried is leading an AI startup, Ludus, in the financial sector. It is part of the reinforcement learning (RL) category of AI firms, that specialize the general AI models for specific industries. “AI models like Chat GPT and Claude have an incredibly broad knowledge and skill base, but lack depth in some areas. At Ludus, we’re making quant trading RL environments—like specialized schools where AI models are the students. AI models have the equivalent of a bachelor’s degree in everything. We’re giving them a PhD in quant trading.”

Fried and his business partner have been able to build Ludus without waiting for outside financing. “AI has made it dramatically easier for one person to start a company. AI can be your engineer, your designer, your copy editor, and your back office. All you need is an idea, the ambition to see it through, and a few thousand dollars for AI tokens.”

The result is a rapidly growing and democratized AI entrepreneur community not dependent on gatekeepers of the past. It is a community that is experimenting with AI uses across sectors: health care, manufacturing, business services, leisure and hospitality, construction. Entrepreneurs draw on the expertise of other entrepreneurs working in sectors outside theirs, sometimes even in their own sectors. Collaboration through hackathons, social gatherings, meet ups, is common. Fried notes, “I’ve refined our sales pitch by the water cooler at our coworking space, recruited engineers at AI happy hours, and gotten a funding proposal from a competitor over a board game.”

Eighteen months before Fried came to San Francisco, Alfred Wahlforss and Florian Juengermann arrived in the city from the Harvard Graduate Engineering program. Wahlforss, from Sweden, and Juengermann, from Germany, had met at Harvard and collaborated on a hastily designed consumer app. To get consumer feedback on this app, they came up with the idea for a company, Listen Labs , utilizing an AI interviewer to gather and analyze consumer preferences.

They arrived in San Francisco with few connections. A Harvard contact lived in one of the “hacker houses,” the communal living spaces of AI entrepreneurs that were springing up around the city. They were able to get rooms in the house. Wahlforss recalls his delight in the collaboration he found with other AI founders and aspiring founders:

“When we came home late after a day of working hard, others in the house would be standing at the whiteboard, figuring out problems common to their startups. I had always dreamt about building something and making things happen; it was a total game changer to be around these people. Founders that we met then now within a few years are running sizable companies.

“And then you had these hackathons, which in the beginning you would come together and work the entire weekend, like 24 hours, with a bunch of young people. At one of these hackathons we found a big missing puzzle piece for our product: how to find people to interview. We had this AI interviewer who can talk to people, figure out what they want, but a big missing piece was like how do you actually find the user you need to talk to. And it was at one of these hackathons that we created a way to solve that.”

Since its official launch in April 2025, Listen Labs has received outside investment totaling $100 million, and grown to 88 employees. It has done over 2 million interviews and Its clients include 15 of the Fortune 100 companies. Wahlforss now assists other aspiring founders in solving their missing puzzle pieces. “Collaborating with other entrepreneurs is still the best part of my week”, he adds. "Through Velocity Fellows, I take ten young Swedish founders to San Francisco each year so they can dream bigger than I did at their age."

The AI Ecosystem and the Middlemarch Surgeon

“Does it seem incongruous to you that a Middlemarch surgeon should dream of himself as a discoverer?” George Eliot writes in Middlemarch of Dr. Lydgate who seeks to make advancements in scientific research. Spend time with the young AI entrepreneurs and you see how many of them also see themselves as discoverers.

Leila Clark graduated from Princeton in 2018 in computer science, and worked for a time as a software engineer with a trading firm in New York. She moved to the San Francisco Bay Area in 2023, with the goal of developing her own start-up and was accepted the following year to be part of the area’s Y Combinator . She experimented with several ideas, before deciding on Stardrift , an AI travel planning tool.

As a child and youth she had traveled widely with her family in China and Asia. The idea for Stardrift came to her on a family road trip in early 2025 in Scotland. “I was trying to plan out the trip, and searching the web and it was all very confusing. And then I asked ChatGPT and it came up with a phenomenal plan, identifying sites that we would not have found through the usual travel tools. That was my moment of ‘these AI models can really improve the travel experience, and how deep we could go if we were building an AI travel product from the ground up.’”

“I saw there was an opportunity to specialize the general AI models, to build a platform tailored to travel. Stardrift’s customer base is growing quickly, and we’re planning to expand our team across both technical and non-technical roles. We envision being a travel operating system, knowing everything about the way a person travels, like a personal travel agent in the past: ‘I know you like to fly this airline, or prefer this type of hotel or restaurant,’ or ‘I know that you like wineries and here are some suggestions’, like a personal assistant who knows your preferences.

“Most other AI entrepreneurs I know want to build successful businesses, but we also want to feel that we’re having an impact, like ‘if I wasn’t building this, no one would’. More and more Americans have the resources to travel, and hopefully Stardrift can be part of improving their experiences.”

The concept of bohemia arose in the 1830s in Paris, to describe the communities of writers, painters and artists, who lived outside of middle class society and conventions. Bohemias that grew in major cities in America often represented a type of voluntary poverty, and rejection of capitalism.

As Michael Harrington would write of New York bohemia of the late 1940s and early 1950s, many of its inhabitants were alcoholics and pretenders “dribbling away a life”. However, there were the other denizens of bohemia who, like Harrington, sought to create goods of value beyond their market measure. Harrington might sleep much of the day and frequent the bars of the Village at night. But he followed a disciplined regimen of research and writing between two in the morning and noon, and centered his life around his study and writing.

The AI ecosystem is rooted in capitalism and the market system. Yet, like earlier bohemias its members are driven by values outside of commerce. They are building their own communities, outside of mainstream culture, and are erasing the mainstream distinctions between life and work. Their start ups are their lives; and good for them, given their stage of life.

The San Francisco arts community has long prized its bohemia (which dates back to the late 1870s); and the past few months its members have accused the AI entrepreneurs and their ecosystem of bringing an emphasis on commerce that undermines bohemia. But the arts bohemia has been in decline for decades, and today serves mainly as a vehicle for its insular ideologies and agitprop. It has betrayed its own ideals.

The AI ecosystem will bring economic disruptions, positive and negative. So far, its energy and ambitions, its contrast with the entitlement culture, are only be welcomed.