First, let's do a math problem.
A VC firm manages $12.7 billion in assets. Its previous fund raised $850 million. The one before that was $2.5 billion.
The direction is reversed.
The scale is shrinking, not because it can't raise money, but because there aren't enough worthwhile targets to bet on. Now, this company wants to reverse this curve. Where does it need to go to find the next big enough pool?
On February 28, 2026, The Wall Street Journal provided the answer: Cryptocurrency investment firm Paradigm is raising a new fund of up to $1.5 billion, expanding its investment focus to artificial intelligence, robotics, and other frontier technologies.
This is not a sudden decision. It's a math problem that started being calculated long ago, and the answer is only being announced today.
First, let's look at the numbers
In 2025, the total global VC investment in cryptocurrencies reached $49.8 billion. That sounds like good news. But if you only focus on that one number, you'll misjudge one thing.
In the same year, the number of crypto VC deals plummeted by about 60% year-over-year, from approximately 2,900 deals to 1,200 deals. Money is increasing, but the number of projects is decreasing. Funds flowing into the crypto space are increasingly concentrated in a few large deals rather than spread across hundreds of early-stage projects.
For the vast majority of small and medium-sized funds, this might not be a problem. But for Paradigm, this is a structural issue. Paradigm manages $12.7 billion in assets and is one of the world's largest crypto-dedicated VCs. Its problem isn't finding projects; it's finding enough large, early-stage projects to deploy this scale of capital while maintaining its expected returns.
In 2021, Paradigm raised the largest cryptocurrency fund in history, at $2.5 billion. In 2024, it announced its third fund, sized at $850 million—only one-third the size of the previous one.
This contraction is not a sign of weakness; it's an active adaptation to a narrower market. But it also illustrates one thing: relying solely on crypto, Paradigm is struggling to find an outlet for its scale.
After FTX, Paradigm started asking a question
To understand today's $1.5 billion, we must go back to November 2022.
That month, FTX collapsed. Sam Bankman-Fried's empire turned to ashes in a matter of days, burning the money of countless institutions along with it. Paradigm's paper investment in FTX was $278 million. Ultimately, it all went to zero.
For a top-tier firm known for being "research-driven" and priding itself on its technical vision, this wasn't just a bad debt. It was a public misjudgment that needed to be explained to LPs, to the market, and to itself.
What happened next seemed quite strange at the time. In 2023, people noticed that Paradigm's official website had quietly changed: all mentions of "crypto" and "Web3" were removed and replaced with the more neutral term "technology investment."
There was no official announcement about this change, but it was quickly discovered by the community and sparked intense discussion. The biggest doubt was: Is Paradigm running away?
Co-founder Matt Huang had to put out the fire. He tweeted that Paradigm had "never been more excited about crypto," while adding: "The developments in AI are too compelling to ignore. Framing AI and crypto as a zero-sum competition is a popular but mistaken narrative. We don't buy it. Both are interesting and will have significant overlap."
This was a PR-driven clarification, but it also revealed something real: Paradigm was already seriously considering AI internally.
After FTX, the question it was forced to answer was: What to bet on for the next decade?
Matt Huang has already been working on the answer
If you only look at Paradigm's official announcements, the company's pivot seems to have started today. But if you look at Matt Huang's actual actions over the past two years, you'll find he has long been more than just a crypto investor.
In 2024, Paradigm invested $50 million in Nous Research. Nous Research is an AI infrastructure company focused on the research and development of open-source large language models. This wasn't an "exploratory" small test; $50 million is a serious bet at Paradigm's scale.
In February of this year, Paradigm also jointly released EVMbench with OpenAI, a benchmark tool to evaluate the ability of different AI models to detect and fix security vulnerabilities in smart contracts. The core infrastructure of cryptocurrency met AI capability assessment—two things were placed on the same table.
At the same time, Matt Huang is building another company: Tempo. This is a stablecoin payment infrastructure company; Matt Huang is a co-founder, and his role on Stripe's board is highly aligned with this direction. Stripe established a strategic partnership with Paradigm in 2025, and Stripe also launched its stablecoin payment product that year.
Looking at these together, Matt Huang isn't "going to invest in AI"; he has been living at the intersection of AI and crypto for at least two years.
He's not betting on AI alone, nor on crypto alone, but on the moment these two things collide. And when AI agents need to execute transactions on-chain, when robots need a programmable monetary system, that collision point is Paradigm's next main battlefield.
Why AI×Crypto, not a pivot to AI
Paradigm's move into AI doesn't mean it's competing with a16z or Sequoia for the same batch of projects.
There's a narrative mistake that's easy to make: interpreting Paradigm's new fund as "just another VC pivoting to AI." But if that were the case, it would have no advantage; the general AI track is already crowded with traditional VC giants with deeper backgrounds and stronger resources.
Paradigm's real logic is: it doesn't intend to fight for a piece of the general AI pie; it wants to bet on the intersection that others haven't yet clearly seen.
AI agents are one of the hottest concepts right now. These intelligent agents, capable of autonomously performing tasks, have already started replacing human labor in various scenarios: search, writing code, analyzing data, managing workflows. But there's one thing they haven't solved yet: money.
When an AI agent needs to pay, receive payments, or transfer funds between different services, what does it use? PayPal? Bank accounts? These systems are designed for humans, requiring identity verification, manual authorization, and are incompatible with the logic of autonomous machine execution.
But stablecoins can. Smart contracts can. Programmable money can.
This is why Matt Huang is simultaneously working on Tempo (stablecoin payments) and investing in Nous Research (AI infrastructure): he believes these two lines will eventually merge, and Paradigm can place bets on both sides, capturing the maximum return at the moment of merger.
This isn't a pivot; it's an expansion. An expansion into a place he believes others haven't fully figured out yet.
LPs need a new story
There's also a practical level that must be made clear.
Paradigm's LPs, the institutions and individuals who entrusted their money to it, saw the ambition of a $2.5 billion raise in 2021 and the restraint of a contraction to $850 million in 2024.
Such a vast difference in the size of two consecutive funds requires an explanation. Even more, it requires a persuasive narrative for the next fund.
"Continue investing in early-stage crypto projects"—this story was already difficult to support a $1.5 billion fundraising target in 2024. But "leveraging crypto's technical advantages to切入 (cut into) frontier tech at the hottest time for AI and robotics"—that can.
In 2025, 61% of global VC funding flowed into the AI sector, totaling approximately $258.7 billion. This is the largest pool in the venture capital field today. The $1.5 billion Paradigm is raising now is to draw water from this pool, not to continue guarding a shrinking lake. For LPs, this is a bigger story and a more credible growth logic.
Now we can go back to 2023. That year, when Matt Huang was forced to clarify the website revision incident, he said this: "AI and crypto are not a zero-sum competition."
At the time, this statement seemed more like a defense.安抚 (Reassuring) the community, preventing LP panic, while leaving room for itself to explore AI. But if you reread it in today's context, it sounds more like a预告 (preview/advance notice).
Paradigm took three years to walk out of the ruins of FTX. It didn't choose the simplest path of scaling down, focusing solely on crypto, waiting for the next bull market. It chose a harder path with greater想象空间 (imaginative space/potential): betting on the fusion of AI and crypto, establishing positions in both fields simultaneously, and then waiting for them to meet.
Today's $1.5 billion fund is a marker of this path at its current stage.
Matt Huang hasn't publicly responded to today's Wall Street Journal report yet. But his Tempo is still being built, Nous Research is still running, EVMbench has been released.
He doesn't need to explain anymore. Those actions have already spoken louder than any statement.
