Asset-secure venture capital: A new funding model for the AI era

Traditional venture capital has not evolved with the times. With AI enabling individuals to accomplish what once required entire teams and one-person companies on the rise, we need a new approach to startup funding.

To address this, I've come up with a new funding model called the Asset-Secure Venture Capital. 

This new funding model solves two critical problems: VCs losing billions of dollars worth of investments on failing startups (with 90% of startups eventually failing), and talented operators and ambitious founders remaining stuck at day jobs because they can't build a corpus that would give them the necessary financial runway to build their vision.

Pouring millions into established companies to retrofit them for AI era is not the only solution. VCs should consider enabling the next generation of entrepreneurs who are building with an AI-first approach from the ground up. These solo innovators often need different support structures than traditional startups.

Asset-Secure Venture Capital: How it works? 

The Asset-Secure VC model operates differently from the traditional VC funding approach:

  1. Capital preservation with income generation: Instead of handing over $2 million to be spent, the VC places that capital in a fixed deposit or similar investment vehicle. This generates a steady monthly interest—approximately $2,000—which flows directly to the founder, covering their essential living expenses.

  2. Limited operational budget: Alongside this stability, the VC provides a modest operational budget of $20K-$50K annually for business essentials: software tools, legal incorporation, minimal marketing, and occasional travel.

  3. Aligned partnership terms: In exchange, the investor receives a reasonable equity stake (typically 10–15%) or a share of profits (or a carefully structured combination of both).

This arrangement creates a dramatically more sustainable relationship between capital and revenue generation.

Benefits

For solo founders:

  • Financial liberation: The steady interest income gives founders the freedom to quit their jobs and dedicate themselves entirely to building their vision without personal financial stress.

  • Complete focus on product and market: With a smaller, more intentional operational budget, founders avoid the trap of premature scaling and can laser-focus on developing product-market fit.

  • No pressure to "scale at any cost": The extended runway from interest payments means founders can build more deliberately, without the constant distraction of fundraising rounds.

For Venture Capitalists:

  • Principal protection: The core investment remains intact in secure financial instruments, dramatically reducing the risk of total capital loss—a refreshing change from the "all or nothing" traditional model.

  • Better control on portfolio performance: After predefined periods (typically one year), VCs can evaluate progress against agreed milestones and decide whether to continue the arrangement, potentially increasing support, or withdraw their capital.

  • Portfolio diversification: This model allows VCs to back more solo founders with the same amount of capital required to fund a traditional startup, increasing their chances of success. 

What does the market say? 

The numbers powerfully illustrate why we need to rethink VC funding:

  • In the United States, there are 41.8 million one-person companies, contributing over $1.3 trillion to the economy annually.

  • Several solo-founded companies have cross $10+ million in annual revenue (going as high as $300 million), demonstrating that individual entrepreneurs can build massive value when properly supported.

  • Studies consistently show that startups with controlled early spending and a focus on sustainable growth outperform those that rapidly deploy large capital infusions before finding product-market fit.

This data reveals an enormous, underserved market of founders who are overlooked simply because they operate independently rather than as part of conventional founding teams.

Real world implementation: Athena's approach

One organization already pioneering aspects of this philosophy is Athena.vc. Their model offers valuable insights into how new funding approaches can succeed:

  • Centered around financial independence: Athena provides $30K–$50K investments designed specifically to cover founders' living expenses—conceptually similar to the interest-based support in the Asset-Secure VC model.

  • Hands-on support: Beyond capital, Athena offers a 6-month "residency" with direct mentorship from accomplished entrepreneurs like Rob Liu, providing guidance on ideation, MVP development, and sustainable growth strategies.

  • Inclusive investment thesis: Solo founders are welcomed, even at the idea stage without traction—a stark departure from traditional VC requirements that often demand co-founders, existing revenue, or user growth.

Athena's track record demonstrates that this founder-friendly approach isn't just idealistic but can produce remarkable results. Their portfolio includes numerous founders who've built multi-million-dollar businesses while maintaining significant control and equity.

The Future of entrepreneurial funding

Asset-Secure Venture Capital and similar models like Athena's represent more than incremental improvements—they signal a fundamental paradigm shift in how we fund innovation:

  • Better incentive alignment: By separating living expenses from business capital, founders can prioritize creating sustainable value rather than artificial growth metrics.

  • Democratized access: This model opens entrepreneurship to diverse talent previously excluded by financial barriers, including those from underrepresented backgrounds or geographic regions.

  • Focus on founder health: By removing existential financial stress, these models promote founder well-being and sustainable company building—addressing the mental health crisis plaguing the startup ecosystem.

By focusing on people rather than headcount, the Asset-secure venture capital model ensures that the capital is used to help talented individuals create world-changing companies.

AI is stealing my dopamine

My biggest frustration with AI is that it is stealing my dopamine.

Before AI, knowledge work gave me all the dopamine I needed.

Have to work on a landing page copy in two hours? Sign me up.

Have to come up with a kick-ass product copy in under eight words? I'm in.

Write an interesting blog post combining Marvel characters and a helpdesk software? This is why I love marketing!

We took up the challenge, and we put our minds to it. It was interesting, fun, and seeing the finished product out in the wild gave me the chills.

I loved marketing before AI.

But now, things are different. You want something, you get it immediately. It doesn't matter if it is an eight word product copy, a 160-character meta description, or a 2,000-word blog post. AI does it all effortlessly.

It definitely simplifies my job as a marketer. It makes everything in the leadership happy.

But, what about me? AI has sucked the pleasure of doing the work.

Industry veterans across the globe are saying SaaS is dead. I agree. A there is a shift happening from SaaS-based products to outcome-based products amid the rise of AI. This transition is not only killing SaaS businesses. It is also killing the creativity of SaaS professionals.

Now, I have to look for something else - a hobby or a project that will give me back all the lost dopamine.

Maybe I'll go back to doing pencil sketches of superheroes or start a food blog. Haven't figured out yet.


Your fake social life is fabricating the history

Imagine a 10-year-old in 2090 looking back at the social life of their grandparents from 2040.

What will they see?

Pictures and reels of them on Instagram following some trend that was big back then, the videos they've created on YouTube using AI video and voice tools, a Twitter profile filled with AI-generated content, recorded videos of their AI avatars teaching a course on app development, or even an OF account!

The kid will have access to a ton of videos and content about their grandparents from the internet.

But, the kid will have no way of seeing or understanding the real character or voice of their grandparents?

Imagine this for an entire generation in the future. It's scary.

When they look back, all they would see is a fabricated version of ourselves. A version where want to be seen as the happiest, sexiest, and the richest.

When the internet came into existence, it acted as a huge time capsule. It recorded every thought, idea, and interaction. For the first time in history, we could see how people like us thought, reacted, and behaved when they hung out with their friends, came across a social issue, or faced a personal crisis.

It was a treasure trove of information. It was a crowdsourced version of our history that gave room for very little manipulation (which was very common in previous centuries, as very few had the power to decide what goes to the future generations).

But, it's starting to fade.

Over the last decade, we've started fabricating how we'd want to be seen and heard. We go on holidays and buy gadgets we can't afford, we open up about our private lives to our 'audience' and we created a ton of AI-generated text, audio, and video - all for what? Social capital, fame, and money.

Today, the internet is being filled with millions of pieces of AI content every minute. And every piece of that content is history for our future generations. But, rather than it saying about who we are, it will show them an illusion of how we lived in 2024.

Despite having free will and freedom to do what we want, a majority of us do the same thing. In the process of making money and attaining social status, we're losing our conscience.

It's sad, but it's true.

The only filter between AI and the world is your conscience

Claude recently launched a new feature that would copy your writing style.

I thought it was a gimmick. But, it wasn't.

I uploaded a few of my essays from a personal project and it came up with a writing style it called "the memory weaver".

The description said,

Craft deeply reflective narratives that blend intimate personal observations with broader social insights

I gave it a topic to write on and the output was remarkably similar to my essays in terms of tone, style, use of anecdotes, etc.

It was fascinating!

It made me wonder,

How does one differentiate between authentic and AI-generated content? What's the mark for authenticity?

With AI models getting too close to human level writing capabilities (in fact they surpassed them mid last year), what's the filter that will regulate the flow of AI-generated content into our world?

The only answer is our conscience.

If you're a writer or a creator, you can either publish AI-generated content to speed up your creation process (to become famous, like be a become a thought leader or influencer on your field of interest) and call it your authentic work, or you choose to write everything yourself because you respect the trust of your readers.

This is where conscience comes into the picture.

There is also no legal implications of creating AI content that sounds just like you and calling it your own work. The readers will take your word for it. There is no way for them to verify.

It's like choosing milk from a supermarket. You might choose a milk carton that has a label "organic and hormone-free" over a milk brand that doesn't have the label. But, there is no way for you to verify if the milk is hormone-free.

You'll have to go to extreme lengths to prove your point. The only way you get hormone-free milk is when the owner of the company decides to do business in a honest way.

The same applies for creators.

So, if you're a creator, it's