I Want to Fund Startup Ideas of People Who Can’t Code: Altman Declares ‘Revenge...

OpenAI chief executive Sam Altman says artificial intelligence is fundamentally reshaping the startup world, lowering the barriers that once kept non-technical founders from building major companies and altering long-held assumptions about what makes a successful entrepreneur.

Speaking at Stripe Sessions alongside Patrick Collison, Altman argued that the rise of generative AI tools has sharply reduced the premium Silicon Valley traditionally placed on elite engineering talent, creating room for founders whose main strength is a deep understanding of customer problems rather than coding expertise.

"For a long time, I think the most important ingredient that I looked for YC looked for, that kind of this part of our industry looked for on a founding team was technical talent," Altman said. "And that's still very important, but now people who just really deeply understand their users and can't code at all. I want to fund those people."

The remarks mark a striking shift from the culture that defined Silicon Valley for decades, particularly within startup accelerator Y Combinator, where Altman built his reputation before leading OpenAI.

For years, investors routinely dismissed so-called "idea guys" - founders who claimed to have transformative business concepts but lacked the engineering ability to build products themselves. In the pre-AI era, venture capital firms often viewed technical founders as indispensable because software development required highly specialized coding expertise and large engineering teams.

Altman acknowledged that this mindset is now changing rapidly as AI coding assistants, autonomous software agents, and large language models dramatically compress development timelines.

"All of a sudden it's like the revenge of the idea guys," he said.

The comments come at a time when generative AI is beginning to alter the economics of startup formation across industries. Tools from OpenAI, Anthropic, Google, Microsoft, and a growing list of AI firms are allowing small teams to perform work that previously required large engineering departments, from writing software code and debugging systems to building websites, automating customer support, and analyzing data.

That transition is already reshaping venture capital strategies. Investors increasingly believe the next wave of startups may emerge from domain specialists in healthcare, law, logistics, education, and finance who can pair industry expertise with AI systems rather than build large technical teams from scratch.

The shift is also helping fuel an explosion in AI-native startups. According to multiple industry estimates, funding for AI companies has surged to record levels this year as investors race to back firms seen as capable of leveraging foundation models into scalable businesses with lower staffing costs and faster product cycles.

Altman, whose early investment track record includes stakes in Reddit, Stripe, and Airbnb, suggested that founders with sharp product instincts may now hold greater leverage than in previous startup cycles.

He recalled how Silicon Valley once openly mocked entrepreneurs who guarded vague business ideas while searching for programmers to execute them.

"There were these people that wanted to start a company and they'd say like, 'I have the best idea. I'm not going to tell you what it is. I have the best idea. I just need a coder to build it for me and then I'm going to be in great shape,'" Altman said. "And we would make fun of these people."

Now, however, AI systems are increasingly acting as those coders.

But the development carries broader implications for the technology labor market. Analysts say AI-assisted programming is already beginning to compress demand for entry-level software engineering tasks while increasing the importance of product design, workflow integration, and industry-specific expertise.

Several technology firms have also started reorganizing teams around AI-enhanced productivity. Companies are increasingly expecting smaller engineering groups to deliver output that previously required significantly larger workforces.

Still, Altman cautioned that AI has not erased all traditional startup fundamentals. He maintained that founder chemistry and long-term trust remain critical ingredients for building enduring companies.

"The teams that came together seven days before applying to YC on a cofounder matching side or whatever, that didn't work too often," he said.

Altman pointed to his long-standing relationship with OpenAI cofounder Greg Brockman as a major reason the company survived years of intense pressure, competition, and internal turmoil.

"I think we had this deep mutual respect and complimentary skillset that has just worked really well," Altman said.

The comments arrive as OpenAI sits at the center of an increasingly fierce global AI race involving rivals such as Google, Microsoft, Amazon, and Anthropic. The company's rapid ascent has transformed Altman from a well-known Silicon Valley investor into one of the most influential figures in global technology and policy discussions surrounding artificial intelligence.