a16z Partner: The AI Era Redefines Founder Profiles

Author: Andrew Chen (Partner at a16z)

Compiled by Deep潮 TechFlow

Shenchao Overview: In the traditional Silicon Valley venture capital paradigm, early-stage investing has long been a meticulous pattern-matching exercise centered on the “founder profile”—technical co-founders paired with business experts, Stanford computer science PhDs, or star teams forged by top tech giants, forming the decades-old, nearly foolproof formula in VC memos. However, the explosive advancement of generative AI is shattering this convention. With code-generation capabilities empowering individuals by orders of magnitude, solo founders are now transforming from Silicon Valley geek fantasies into tangible realities.

a16z renowned partner Andrew Chen, drawing from his firsthand investment experience leading the Speedrun accelerator, provides an in-depth analysis of the new breed of founders emerging in the AI era—including solo independent founders, non-technical elites transitioning from other fields, seasoned industry veterans specializing in vertical use cases, and even underage student creators and social content influencers. The author sharply highlights the democratization of productivity brought by AI, while also calmly examining the vast gap between prototype demos and industrial-scale business moats.

More importantly, the article moves beyond isolated discussions to review the generational evolution from PCs, Web 2.0, and mobile internet to AI infrastructure, clearly highlighting that when foundational technologies and distribution channels undergo paradigm shifts, clinging to outdated models will inevitably fail—only entrepreneurs who truly understand the essence of today’s leverage points can rewrite the fundamental rules of venture capital.

These days at a16z, most of my focus has been on the Speedrun program, where we issue the first check—up to $1 million—to brand-new startups.

One of the key elements we regularly focus on is the founder’s background and profile: what constitutes an appropriate profile? As we enter the AI era, how will these profiles evolve? This has become a central topic in our daily discussions.

(By the way, this week is the final week to apply for the upcoming San Francisco residency program, where you can work out of our office, meet with me in person, and launch your next startup. The application deadline is this Sunday, November 1st.)

Not long ago, I discussed with Ben the new opportunities AI brings to individual independent founders. The central question is: Has AI given a single founder such immense leverage that they can build a large company entirely on their own—eliminating the need to deliberately separate business and technical co-founders, as one person can now handle everything?

Undoubtedly, AI will greatly empower solo founders. What once required two co-founders—one with business expertise and one with technical skills—or a team of three covering product, technology, and market expansion can now be accomplished by a single entrepreneur.

On the other hand, Ben’s point is that perhaps the initial version (V1) of a product, or the baseline expectations for a seed-stage startup, have also risen. If a founding team, when scaled up 100 times, can make faster progress than a solo founder scaled up by the same factor, then team collaboration may still ultimately prevail.

The solo founder is just one of the new archetypes we will soon see in large numbers. Here, I will list these archetypes one by one and outline the arguments for and against each:

Solo Founders

Supporting rationale: Independent founders can leverage AI to achieve a 100-fold increase in productivity, enabling them to deliver initial product versions that would have been impossible to achieve alone.

Counterargument: The co-founder team may still be able to drive greater business progress. While you might rely on agents to autonomously write code, you still need someone to conduct hundreds or thousands of customer meetings. Moreover, writing code may never have been the true core bottleneck for startups in the first place?

Non-technical Founders

Supporting rationale: Fields such as finance and consulting bring together a large number of top-tier talents who, although they don’t write code, are deeply passionate about business operations. Similarly, many in the creative industries spend their days creating—but previously not through code. Now, they have the ability to build software products themselves.

Reason for opposition: While AI may make it easier to build product prototypes, there remains a vast gap between a demo and a stable, reliable commercial product capable of scaling to serve massive numbers of users.

If everyone could easily build a first version of a product, then as products grow more complex, technical judgment becomes even more critical in determining what to build, what is truly feasible from a technical standpoint, and how to maintain a sustained competitive advantage—especially in specific product categories like developer tools.

Industry experts in vertical domains

Reason for support: Doctors working in hospitals have a clear understanding of all the pain points they face daily; real estate agents deeply comprehend the subtle psychology of their market and client needs; the same applies to professionals such as soldiers and teachers. What if they could directly use software to solve their own pain points—and, in the process, naturally build a business?

Reason for opposition: Traditional hotel operators didn’t create Airbnb, and the traditional financial industry didn’t give rise to Kalshi. Sometimes, you specifically need an outsider’s disruptive perspective to reshape an entire industry, rather than making minor incremental improvements within the existing framework.

Kids, high school students, and college students

Supporting reason: Young people begin building products at an extremely early age. Starting with creating a Minecraft mod, a Roblox game, or a Discord bot, you unknowingly learn how to build things used by tens of thousands of people.

Today, with the boost of AI, a young person with a brilliant idea can build outcomes far larger than ever before, earlier and more efficiently than ever.

Reason for opposition: Creating a small gadget that your friends love is entirely different from starting and running a real business. You still have to confront practical challenges such as hiring a team, raising capital, managing operations, and exploring ways to monetize.

Young founders may have a natural advantage in consumer-facing products, as they deeply understand the preferences of their peers, but this advantage diminishes significantly when entering enterprise software, healthcare, or other fields that heavily rely on industry expertise and business relationships. Sometimes, deep industry knowledge is indispensable.

Content Creators and Influencers

Supporting rationale: They are already consistently creating content. Therefore, the same creativity that goes into making videos can also be applied to building software products. More importantly, they inherently possess powerful distribution channels: they understand what their fans care about, how to capture public attention, and how to reach massive audiences without spending money on paid advertising.

In the past, turning an audience into a software product meant finding a technical co-founder or assembling an engineering team; now, creators can build and launch products themselves and quickly present them to millions of potential users.

Reason for opposition: While having a fan base can generate a surge of traffic during a product’s initial launch, building a sustainable, long-term growth engine is an entirely different challenge. The most commercially valuable software products are not fleeting viral memes, but rather endurance-driven products that require continuous refinement and iterative improvement day after day. Does the underlying DNA of the creator community align with this long-haul approach?

We can list many more such profiles.

I believe we are almost certain to witness an explosive expansion in the variety of founder profiles dedicated to building new products. This is a very positive development. Naturally, we will also see a very high failure rate, but some among them will inevitably succeed spectacularly.

Certain profiles, such as teenagers and students, possess significant agility advantages but lack deep industry experience; meanwhile, profiles with substantial industry expertise, such as dentists who personally develop AI dental diagnostic software, have extensive experience but may lack the outsider perspective needed for disruptive, unconventional thinking.

Each persona has its strengths and weaknesses, but creating a broader, more inclusive stage for the entrepreneur community is itself a profoundly positive change.

At any given time, different profiles have thrived precisely because they aligned with and fully leveraged the unique technological advancements and distribution advantages of that era.

Let’s revisit the classic founder archetypes that once made venture capital firms eagerly hit “yes.” Each wave of technological entrepreneurship has produced a hot new archetype—until the next wave took its place:

After Google's rise, venture capitalists all cited Stanford PhDs;

The Facebook era: a college dropout built a Web 2.0 social app for friends around them;

The Airbnb era: design-conscious tech enthusiasts create exquisitely beautiful mobile experiences;

The Uber era: Tough, relentless founders with exceptional offline operational capabilities built on-demand mobile services;

(Of course, in today's era of AI infrastructure, the trend seems to have shifted back to computer science Ph.D.s.)

In contrast, the venture capital community also maintains a lengthy list of red flags, and mainstream investment wisdom typically advises you to strictly avoid teams with the following characteristics:

We firmly do not invest in solo founders operating alone;

Avoid founders without a technical background;

Tech enthusiasts disrupting the hotel industry are worth applauding, but seasoned hotel veterans directly diving into software development should be avoided.

Skeptical of overseas multinational founders (though this varies by region and industry);

Couples starting a business together are often kept at arm's length;

Dentists, internet influencers, and celebrities crossing over into tech companies are strictly off-limits…

We could list a long series of guides to avoid these pitfalls. But shouldn’t a general-purpose technology with the power to reshape the world, like AI, prompt us to rethink some of these rules?

What if some of the past assumptions have been proven entirely unfounded? What if AI has completely empowered founders who were previously at a disadvantage in software development but are now thriving? This presents us with a unique opportunity to reexamine these deeply entrenched biases.

You might review the above list and wonder: Are these personas based on objective evidence? In my view, founder personas play a profound role across multiple dimensions:

One obvious point: if you firmly believe that social apps, two-sided marketplaces, on-demand services, or AI are venture-capital-worthy sectors capable of producing multiple supergiants, you often observe the leading pioneers, attribute part of their success to the founders’ specific backgrounds, and then scour the market for more individuals with similar backgrounds.

People will unconsciously assume that most individuals from this group possess similar competitive advantages.

Less obvious: Each founder’s era of opportunity is fundamentally unlocked by underlying technological cycles and the distribution channels of their time.

In the Web 2.0 era, if viral email invitations were the dominant growth strategy, no group was better positioned than university students with official school email addresses and a passion for social interaction to send invitations to one another; if the editorial featured spots on the Apple App Store were the key acquisition lever, then designer-developers with deep networks and refined aesthetic preferences held a decisive advantage; when the iPhone unlocked GPS positioning and the mapping ecosystem, it gave rise to instant-response platforms—proving that this approach perfectly aligned with the evolution of underlying infrastructure.

A more subtle point: if all investors collectively agree, to some extent, that founders of a particular era should embody a certain image, then investing in such founders becomes perceived as safer in a self-reinforcing manner.

Every round of funding you raise makes it easier to attract follow-on investments, and even if the company’s progress temporarily falls short of expectations, such founders often enjoy the privilege of being generously funded multiple times.

In summary: they may indeed possess unique business insights and substantial competitive advantages, but these are also intertwined with a subtle self-reinforcing feedback loop.

This effect is particularly critical in the seed and pre-seed stages, where financing is highly fragmented, as multiple small investments from numerous investors are often required to collectively form a complete funding round.

So what insights does this leave us with? I believe the most intriguing question is not which of these new personas will succeed, but which of the old assumptions about founders represent unshakable foundational truths, and which are merely temporary byproducts of the technological and distribution constraints of their time.

Some old rules will endure. While writing code may become increasingly easy, business sales, recruiting top talent, strategic business judgment, and relentless perseverance will never become easier.

Deep industry experience may help you accurately identify real-world pain points, but it could also become a cognitive constraint that prevents you from radically disrupting the industry from scratch. A solo founder might accomplish the work of ten people, but a tight-knit team of three, leveraging the right tools, could unleash the power of thirty.

However, certain traditional rules are almost certain to be phased out by history. This means that entrepreneurs who, five years ago, seemed out of place or even portrayed as low-quality in investors' eyes, may now suddenly possess tangible competitive advantages.

But the most fatal mistake is replacing the old model with a new rigid one, blindly declaring that solo founders now work, industry experts now work, and influencer creators now work.

The true essence lies in the fact that when there is a profound paradigm shift in underlying productivity technologies, the profile of outstanding founders who can break through and succeed must also evolve and be reshaped accordingly.