AI-Native VC Firms

wall e, ai, robot

There’s been this term that’s been thrown around as of late. By GPs. Funnily enough, not by a single LP so far. The “AI-native” venture firm.

Somehow everyone seems to think they’re the only ones doing so. But they’re not. While not everyone approaches it in the same wayโ€”and the definitions do get muddled a littleโ€”there is a growing audience of GPs building a firm leveraging agentic tools.

So, inspired by a recent conversation with my man Arkady, here’s me offering my definition of what an AI-native VC firm is. It’s a set of workflows that even the large incumbents cannot replicate by adding more people to the problem, despite the fees they draw. It’s where technology is at the core of the firm, as opposed to humans. It’s where experience actually becomes an inhibitor to investment innovation. Call it the legacy tax. Or experience tax. Or as Bret Taylor puts it, the strategy tax.

In a recent Uncapped episode, Sierra‘s Bret Taylor put it this way when speaking of SaaS business models. “In these moments of big platform shifts, what were your strengths can become weaknesses. […] You start to say that ‘Well, I don’t want to just start from scratch. We’ve got all these assets. So how do we do it in a way that takes advantage of all of our assets.’ And so all of a sudden, you’re like, ‘Let’s not just build a great product. Let’s transition from this product to that product.’ […] ‘That’s our strength, we should play to our strength.’ And you start to basically make all these decisions that sound sound very clever because you’re playing to your strengths. And in practice, if the technology wave is bigger than the category, which I think the web was as an example, you end up chipping away at doing a pure play value proposition.

“It can also work with business models though. In that time, you have perpetual license software and moving to software-as-a-service, that’s a huge change for a business to make. For your customers, that goes from being CapEx to OpEx. For you as a company, it changes ratable revenue. Shantanu did this at Adobe. Very few companies can make that transition. You have to sell it differently. You have to compensate salespeople differently. Revenue recognition is different. So you have the product strategy tax. You have the business model strategy tax. You have even the incentives of sales peopleโ€”there’s a strategy tax. […] All the advantages that you had, all of a sudden, become anchors that are holding you back from doing the right thing.”

But I’m probably not the only one that can see the transposition of venture models on this analogy of SaaS models. I’ve also been in a few rooms where LPs are starting to slow to halt their pacing into investing in AI companies and funds. If so many of these products can be built overnight with Opus/Cowork, Codex, Cursor, Replit, Base44, Emergent, OpenClaw (and all of its clones in the last 2 weeks) and the list goes on, how many of these application layer AI companies will be stripped of their value almost immediately. And likely, in one month’s time from writing this piece (if not within the next few weeks), the list may already be obsolete.

In fact, I was catching with my LP friend (who’s not technical) last week and he used one of the above tools to build a portfolio management tool in two hours that has more functionality than what I’ve seen from companies trying to solve the exact same problem who’ve raised up to 9-figures. And I wish I could say I was joking. He told me, “Tools for us have historically been limited by the marriage of domain expertise and technical expertise. Most of us didn’t have both. But with these tools, they solve the technical expertise part, which empowers domain experts to build their own tools. So why bother paying for any other tool that doesn’t have the same depth of data that I’ve accumulated across decades?”

Henry Ford has that line many of you are probably aware of, “If I had asked people what they wanted, they would have said faster horses.” Most investorsโ€”big and small, multi-stage and emerging, generalist and specialist, solo GP or partnershipsโ€”are building faster horses.

So an AI-native firm has to reimagine the way the venture business is done. That isn’t an AI-written memo. That’s not just an agent strapped onto a data scraper. Assume everyone at some point can discover and find every company out there. Today’s firms who claim being AI-native (in my anecdotal experience) are highly focused on sourcing. What pools of data aren’t actively being collected now that software can relentless dig into. Today’s firms aided by AI are leveraging tools to make more informed investment decisions. The picking. It still requires, for the most part, a human in the mix to make the final call. There are very, very few, arguably no one, truly leveraging AI nativity to win deals.

In venture, there used to be the classic question VCs would often ask founders: “What’s stopping Google from what you’re doing?” Now it’s “Why can’t OpenAI or Anthropic just do what you do?” Analogously, why can’t a16z or GC do what you do? Historically, the answer, if there is a good one, is tied down to:

  • Business model and portfolio construction, which is still a valid point if you plan to stay as a first check purist.
  • Or, it’s come down to the person. You have lived experience that no one else does in cybersecurity or leading healthcare systems. You have privileged relationships no one else has. You’ve built communities that are centered around you as the central node. It’s usually been a “people” answer.

But with AI-native firms, the answer must be technological. Even if large firms were empowered with the idea, why will they still fail in the technological implementation of it? Why can’t these large multi-stage funds:

  • … “see” the volume you do? Are you pulling data from non-obvious hubs or non-public datasets? How defensible is it in the longer term?
  • underwrite deals at an earlier stage like you do? Are you doing diligence at scale? How do you get the “truth” from sources that other firms powered primarily by human capital cannot?
  • provide the portfolio value (at scale) like you do? Do you give your portfolio companies access to the same systems you’ve built? Can they leverage your tools to empower their customers and/or talent?
  • provide the same liquidity opportunities to LPs at a predictable pace like you can? Not sure if agentic software will be good enough here for now, given how much humans themselves are still figuring this out. But a goalpost for some visible future.
  • provide their co-investors with the same value as you can? This one might be hard. There’s always the balance of what is unique to you versus unique to others. The more you share, potentially, the less of an edge you’ll have. But my stance has always been, if access to certain analyses or information will be inevitable at some point, it’s better to be the rising tide that raises all ships than the last drop of rainwater in the ocean.
  • provide LPs with the same depth and/or breadth of value like you do? This last one is probably not something any AI-native firm I’ve talked to is focused on, but given that all venture firms are marketplaces at the end of the day, answering this question would be extremely powerful.

I’m not saying that’s the only way to do business. That’s not the only way to invest. I’m confident that even when GPT 15.0 and “Opus” 9.4 comes out, there will still be firms that operate primarily around a core set of individuals as opposed to technologies. We have mass-produced cars, but there is still a great demand for hand-crafted luxury vehicles. The same is true for fashion and accessories. So yes, there will still be a world even if they’re not the largest players by market cap where people prefer the luxury of the human touch.

Photo by James A. Molnar on Unsplash


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The views expressed on this blogpost are for informational purposes only. None of the views expressed herein constitute legal, investment, business, or tax advice. Any allusions or references to funds or companies are for illustrative purposes only, and should not be relied upon as investment recommendations. Consult a professional investment advisor prior to making any investment decisions.

Woe is Me

sunset, alone, dock, woe

I was talking to an emerging manager raising a $10M fund recently. He shared a comment, likely off-the-cuff, but something I’ve heard many other emerging managers echo. “This year, most of the dollars deployed into venture has concentrated in only a few big funds.”

Not this manager in particular, but I’ve heard so many other Fund I or Fund II GPs say that. Blaming their struggle with fundraising on the world. It’s not me, but the world is conspiring against me. Or frankly, woe is me. But there is no LP who ever wants to hear that. Building a firm is hard. Building a startup, likely harder. No one said it’ll be easy. So let’s not pretend it’ll be all sunshine and rainbows. If you thought so, you’re deeply misinformed. If you’re going to be an entrepreneur of any kind, you need to take matters into your own hands. You cannot change the world (at least not yet). But you can change how you approach it.

And as an LP, that’s the mentality we’re looking for. Or as Raida Daouk once said on the pod, we like “GPs who can run through walls.”

That said, the mega funds who are raising billions of dollars are raising from institutions whose minimum check size is in the tens, if not hundreds of millions. These same institutions would never invest in an emerging manager. Their team, their strategy, and their institution isn’t built for it. When they have to deploy hundreds of millions, if not billions, a year into “venture” with a team of four or less, you’re not their target audience. So as an emerging manager, those mega funds are not your competition at least when it comes to LP capital.

You’re competing against all the other funds (likely emerging managers) at your fund size. Who can take the same check size you can take. That’s who you’re competing with. So whether you like it or not, billions going to the mega funds has, from a fundraising perspective, nothing to do with you.

If you are looking for reasons to fail, you will find one.

As the great Henry Ford once said, “Whether you think you can, or you think you can’t, you’re right.”

Photo by Johannes Plenio on Unsplash


#unfiltered is a series where I share my raw thoughts and unfiltered commentary about anything and everything. Itโ€™s not designed to go down smoothly like the best cup of cappuccino youโ€™ve ever had (although hereโ€˜s where I found mine), more like the lonely coffee bean still struggling to find its identity (which also may one day find its way into a more thesis-driven blogpost). Who knows? The possibilities are endless.


Stay up to date with the weekly cup of cognitive adventures inside venture capital and startups, as well as cataloging the history of tomorrow through the bookmarks of yesterday!


The views expressed on this blogpost are for informational purposes only. None of the views expressed herein constitute legal, investment, business, or tax advice. Any allusions or references to funds or companies are for illustrative purposes only, and should not be relied upon as investment recommendations. Consult a professional investment advisor prior to making any investment decisions.

Why You Should Hire For Expertise, Not Experience

looking forward, sailing

I recently read Fable‘s Padmasree Warrior‘s breakdown of leadership lessons. Prior to Fable, she held executive positions at Motorola, Cisco, and NIO and currently serves on Microsoft and Spotify’s board. Out of all the insights she shared, I couldn’t help but reach out on one intriguing point she brought up: “Hire for expertise, not experience.”

Expertise โ‰  Experience

Before reading the blogpost on her, I had never thought of expertise and experience as two separate wheelhouses of knowledge. While there is definitely some overlap, as Holly Liu, founder of Kabam, says:

Expertise and experience are similar, but not the same. It is to no surprise most people often conflate the two, myself included. Experience is a record of past events. Expertise is your ability to leverage experience to positively influence the outcome of future events.

I’m reminded of something Henry Ford once said. “If I had asked people what they wanted, they would have said faster horses.โ€ Experience would have dictated faster horses. Expertise would have dictated why we once chose horses over other modes of transportation. And the framework to think about transportation in the next century.

Hiring for expertise

When I asked Padma, “What kinds of questions do you ask potential hires to measure on expertise rather than experience?”

She responded: “I usually as ‘if X happened what would you do?’ ‘If there is nothing here… how would you start a product?'”

I followed up with a David classic: “If I can be completely selfish one more time, and I understand if you don’t have the time, for the question, ‘if there is nothing here, how would you start a product?’ or similar ones, what differentiates between a good answer and a great answer?”

Padma added: “If someone says ‘I did this at such and such’ – wrong answer. I look for ‘I would start with โ€ฆ then doโ€ฆ then grow’.”

Everyone’s guilty of a bit of revisionist’s history when looking in hindsight. It’s in our DNA. We are the only species that create narratives from seemingly disparate data points. After talking with multiple recruiters, executives, and CEOs on the topic, I realized there is often a tendency for people connect their past achievements together and sound like they knew exactly what they were doing all along. But in foresight, that often isn’t true. There’s a lot of guesswork and uncertainty when looking through the windshield, compared to images that often seem closer in the rearview mirror.

To follow up on Padma’s thoughts, I had to ask my former professor, Janet Brady, the former Head of Marketing and Head of Human Resources for Clorox, about hiring for expertise. “I’m a big fan of situational interviewing, where I ask ‘What would you do if…?’ In the process, I am looking for (a) how would this come up, and (b) how would they approach the problem. It’s easy to make the puzzle pieces fit and make up narratives in the past, but much harder when given a situation to deal with on the spot.”

As with any matter, things are not as binary as they first seem to be. She concedes that there is validity in asking about experience as well. But the context around experience is often more insightful than the experience itself. Brady shared, “You never do something alone. If you see a turtle on top of a fence post, you don’t know how it got there, but you know it had help.” How many people were on your team? What was your role on the team? What problems did you run into? And how did you deal with those problems?

But one of her interview questions in particular stood above the crowd for me. “What did you do in this role that no one else in this role has done?” While past achievements aren’t always predictors of future progress, in this case, what you’re looking for aren’t anecdotes but general themes in life, specifically, the ability to question the status quo and act on it.

Echoing Brady’s questions on problems a hire has faced, what might be more interesting is what didn’t work out in the past. The scar tissue someone’s accumulated over the years. Marco Zappacosta of Thumbtack loves the question: “Whatโ€™s your biggest professional regret?”. And he elaborates, “Iโ€™m under no illusions that Iโ€™m hiring perfect people, but I want to make sure Iโ€™m hiring people who are self-aware of being imperfect.”

Put into practice

SaaStr’s Jason Lemkin shared a great example in his blogpost. How the expertise of VPs of Marketing differ depending on what stage of a company’s maturity they earned their stripes. A corporate marketer’s experience might translate poorly to running marketing at a startup. Equally so, a seed-stage startup marketer’s job might carry much less significance in a Fortune 500 role.

Corporates focus on corporate marketing and brand marketing. A form of marketing that’s “all about protecting and reinforcing the brand once you are way past scale.” It’s less about getting your brand recognized since customers have already heard of your brand. It’s about getting potential customers over the activation energy required before making a buying decision. As Jason puts it, “the brand creates so many leads and customers all on its own.”

Startups, on the other hand, are all about demand generation. In other words, generating leads. It’s a numbers game. Spend X dollars to get Y leads, that generate five times of $X of revenue. The equivalent of an LTV-to-CAC ratio of 5x. At the same time, he notes that “brand marketing is very expensive in the early days – and frustratingly, generates zero leads.”

Someone with Z years of marketing experience might have a lot of scar tissue, but might not be able to solve the marketing problem for your startup. Demand gen folks can’t hide anywhere if they don’t get results, but corporate marketing folks can hide behind a brand. Focus on finding the expertise you need rather than the years of experience that might look sexy on a resume or on a pitch deck. As always they’re not mutually exclusive, but it’s important to know the difference.

Who knows? Maybe the next generation of lead gen is all about Twitter presence and memes, as a16z’s Andrew Chen recently tweeted.

Taking a step back

On a bigger picture, the process of sales and marketing is a form of free education for a customer base. The better you can get your users to understand what you’re building, the more likely they will buy. Memes are just another medium of analogy and education. Better yet, of storytelling.

The better you can weave together seemingly disparate data points to create a compelling narrative without confounding extraneous variables, the greater your level of expertise. As Packy McCormick, one of my favorite writers, wrote on an a16z blogpost on expertise, “We live in a world where expertise can be justly claimed by anyone who can continue to prove it. Synthesis and storytelling are the keys to navigating that world. In a world with so much information available and fewer unquestioned experts, the ability to let large amounts of information wash over you, figure out where to dive deep, pull out the most compelling bits, and tie them all together is key.”

In closing

Hiring great talent across all levels breaks down to less of how many years of experience, but more so how you can leverage those experiences to understand and use unique and seemingly disparate data points going forward. Fall forward; don’t fall backward. An expert hire might not have all the answers to your problems, but will have built stress-tested mental models that’ll help in finding the answers for the questions you have.

Back when I was at SkyDeck, Caroline taught me that great entrepreneurs follow the “scientific method of entrepreneurship.” If I were to analogize her idea to expertise, an expert is a champion of the “scientific method of application.”

Of all the experts I’ve met – a title which is often one that society has deemed rather than being self-prescribed – they’ve almost always had an answer or multiple to a certain question. What proof would it take for you to change your mind?

Photo by Markos Mant on Unsplash


Thank you Janet for looking over early drafts.


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#unfiltered #54 When You Learn How to Say No Before You Learn How to Say Yes

I’ve alluded to my ability to say “No” in many previous blogposts, like this one. But as this concept has crawled around in my subconscious for as long as it did, I believe it now deserves a blogpost in its own right.

As a kid, I learned from my parents to say “No” to strangers. The “uncle” who’d say my dad told him to pick me up. Or the “auntie” who’d offer a lollipop to me and ask me where my parents were. To the point it became muscle memory to say “No” to gifts, as well as compliments, even from friends and family. Over time, that notion became more prevalent as it infected other parts of my life.

I learned to discriminate my time before I had a chance to fill in my calendar. Even worse, when I ever hesitated, it became a no-brainer to say no. And subsequently, I missed out on more opportunities I can count. “Whenever there is any doubt, there is no doubt.” It’s a line from De Niro’s character in the 1998 movie Ronin. In essence, if you ever hesitate, some part of your body is telling you “No” while other parts are telling you “Yes”. And there’s a good chance that that “No” is right. Or if you do say “Yes” and things go awry, the voice in the back of your head that said “No” will only exacerbate into full denial. And you may end up hating the reasons you said “Yes” to before.

But it wasn’t from that movie, when that line became immortalized in my mind. I heard it uttered by Tim Ferriss on one of his regular episodes. Or maybe it was from one of his books, like Tribe of Mentors. But I wouldn’t sweat the details.

The thing is, he’s completely right. Both De Niro’s character, Sam. And Tim. But I learned there’s a caveat. Earlier on in your life and career, it’s about taking in more experience since your 24-hour day has yet to fill up. You have to say “Yes” before you know how to say “No”. I overvalued on advice and undervalued experience. Both Sam and Tim were right. But they were right in their own lives, or rather they were right when I would one day have enough things to say “No” to. All advice is, after all, autobiographical.

100 minus your age

I don’t remember where, but I once heard this amazing heuristic for picking up new books. 100 pages minus your age. It equals the number of pages you should read before you decide whether to put down the book or not. The younger you are, the more pages you should read to understand if this book is worth your time or not. Why? Because you simply don’t have large enough of a sample size to recognize the patterns of good versus not-so-good literature. As you grow older, the fewer pages you need to read before you decide if the book is worth your time. Over time, you have a better grasp as to what quality looks like.

A similar notion seems to apply to your life. 100 points minus your age. That’s the margin of error you have when making decisions. The younger you are, the more prone you are to making wild mistakes. The older and more experienced you get, the better you can tell good from bad decisions.

In closing

I’m reminded of something Henry Ford once said. “Whether you think you can, orย you think you can’tย โ€“ย you’re right.”

I lost out on many opportunities. The thing is no opportunity will ever be perfect. But in thinking each opportunity I take had to be perfect, I thought I couldn’t – shouldn’t – take it. But frankly, I just wouldn’t. I became a professional brat. There will always be something or somethings that just don’t make the opportunity click. But in saying “No”, you are saying “Yes” to the status quo. That’s something I have to remember.

As Eric Schmidt of Google fame once said, “Yes is how you get your first job, and your next job, and your spouse, and even your kids. Even if it’s a bit edgy, a bit out of your comfort zone, saying yes means that you will do something new, meet someone new, and make a difference. Yes lets you stand out in a crowd, be the optimist, see the glass full, be the one everyone comes to. Yes is what keeps us all young.”

Photo by Kai Pilger on Unsplash


#unfiltered is a series where I share my raw thoughts and unfiltered commentary about anything and everything. Itโ€™s not designed to go down smoothly like the best cup of cappuccino youโ€™ve ever had (although hereโ€˜s where I found mine), more like the lonely coffee bean still struggling to find its identity (which also may one day find its way into a more thesis-driven blogpost). Who knows? The possibilities are endless.


Stay up to date with the weekly cup of cognitive adventures inside venture capital and startups, as well as cataloging the history of tomorrow through the bookmarks of yesterday!

#unfiltered #50 What is Your Opening Bid?

“Is your opening bid to assume trust – to assume someone is trustworthy – and to grant them the full benefits of that? Or is your opening bid to not trust, but the trust can be earned?”

Over the past weekend, my friend shared this brilliant interview between Jim Collins and Shane Parrish at Farnam Street. The same friend who recommended this podcast that catalyzed my essay on how to think like an LP. So, needless to say, when she sent me this one, I had to tune in. I’ve been a big fan of Jim for a long time, ever since one of my favorite college professors recommended that I read Good to Great. He has an amazing talent with wordsmithing – bringing seemingly incongruous concepts together in analogous harmony. So when Jim uttered the above quote, I took my Staedtler pen and 180 g/m2 paper out.

“Have you ever considered the possibility?”

Jim also shared, “Brutal fact: Not everyone is trustworthy. And the brutal fact is that some people abuse that trust.” Some people will abuse that trust. Some people will really let you down. But that, in my opinion, as well as Bill Lazier’s – Jim Collins’ mentor, is just the cost of living. That shouldn’t change your disposition in the world, but rather illustrate how much more you should cherish the ones that are trustworthy.

Jim furthered that notion with another anecdote from his mentor, Bill. “Have you ever considered the possibility, Jim, that your opening bid affects how people behave? If you trust people, you’re more likely that they will act in a trustworthy way. So it’s a double win. It’s the best people and they’ll behave in a trustworthy way. The flip side is if you have an opening bid of mistrust, the best people will not be attracted to that. If you have an opening sense of you have to earn my trust, […] some of the best people are gonna be like ‘I don’t need to put up with that. I’ll go do something else.'”

Thinking aloud

Coincidentally, a few weekends ago, one of my good friends hosted a thought lounge. The first I’ve participated after hearing about it for a few years. The purpose of which, and I quote, “is meant to be a place where passionate people come together to practice dialogue and have meaningful conversations.” Every person brings in a topic that’s designed to spark kinetic intellectual energy that each lasts for 12 minutes. And where “creative conflict” is encouraged.

It just so happens that one of the four topics that came up that day was the law of attraction. A concept that states that similar people attract each other. And that one’s thoughts can attract similar results. The more you think you will succeed, the more likely you are to succeed. And likewise the same might be true for failing. One of my fellow participants brought up a great Henry Ford quote: “Whether you think you can, or you think you can’t – you’re right.”

And it acutely reminds me of a story I once read in Tim Ferriss’ Tribe of Mentors. Robert Rodriguez, who directed one of my childhood favorite franchises Spy Kids, shared with Tim when asked the question, “If you could have a gigantic billboard anywhere with anything on it, what would it say and why?”

“I like the idea of setting impossible challenges and, with one word, making it sound doable, because then it suddenly is. So I’d choose FรCIL! for my billboard. It’s a good reminder that anything can be done, with relative ease and less stress, if you have the right mindset. […] Attitude comes first.”

In closing

“Is your opening bid to assume trust – to assume someone is trustworthy – and to grant them the full benefits of that?”

That’s the line I need on my fortune cookie. If one day I unwittingly become a foolhardy skeptic, I want to open up a fortune cookie after a lonely meal I’ve stuffed myself to the brim on. On a quiet late night Uber ride home, thinking I’ve eaten all I can eat… I want to read that line.

My opening bid is trust. It always has been. And I hope it always will be. I know that people have taken advantage of my kindness and trust. And I know there will be more that will in the future. But I hope I never lose the optimism in my eyes.

My opening bid is still trust. What’s yours?

Photo by Marek Piwnicki on Unsplash


#unfiltered is a series where I share my raw thoughts and unfiltered commentary about anything and everything. Itโ€™s not designed to go down smoothly like the best cup of cappuccino youโ€™ve ever had (although hereโ€˜s where I found mine), more like the lonely coffee bean still struggling to find its identity (which also may one day find its way into a more thesis-driven blogpost). Who knows? The possibilities are endless.


Stay up to date with the weekly cup of cognitive adventures inside venture capital and startups, as well as cataloging the history of tomorrow through the bookmarks of yesterday!