Paradigm has raised a $1.2 billion fourth fund to invest across crypto, artificial intelligence, robotics, and other frontier technologies, while emphasizing that crypto remains central to its strategy and highlighting the growing overlap between AI and blockchain-based systems.
AI Integration
The San Francisco-based firm said its new vehicle will broaden investing beyond digital assets and continue a research-led approach into AI, autonomous hardware, and related areas. In announcing the fund, Paradigm framed AI and crypto as converging frontiers, describing a moment in which technical advances across disciplines are beginning to intersect. Managing partner Alana Palmedo characterized the strategy as a commitment to “steep exponentials,” noting that the firm is increasing its focus as “frontiers are colliding across AI, crypto, space, deep tech, [and] energy.”
Paradigm stated that its method is to remain “close to the metal”—researching, building, and investing alongside founders. That approach, previously concentrated on crypto, will now extend into AI, robotics, and other emerging fields. The firm also underscored that its exploration of AI is not a departure from crypto but an expansion intended to capture areas where the technologies reinforce each other, particularly in applications that require secure, programmable transactions and machine-driven decision-making.
Technology Use Case
Paradigm’s announcement arrives as more crypto companies build infrastructure for AI agents—software systems capable of initiating actions and managing digital resources with limited human involvement. In that context, payment rails and smart-contract platforms are being designed to let AI agents use wallets, stablecoins, and other on-chain tools to complete tasks. Companies including Coinbase and Stripe have developed payment tools with this objective, aiming to make it easier for autonomous software to access balances, settle transactions, and interact with financial services online.
The firm highlighted several in-house and collaborative efforts that sit at the intersection of AI and blockchain. On the developer side, the Ethereum tools Foundry and Reth are part of Paradigm’s internal work to support low-level performance, testing, and client infrastructure—elements that matter for AI agents interacting with on-chain environments. Paradigm also cited Centaur, an AI agent project, and EVMbench, a blockchain security benchmark developed with OpenAI. These efforts are presented as building blocks for safer, more reliable execution when software agents perform tasks on public networks and need to reason about costs, latency, and adversarial conditions.
Portfolio Examples
Paradigm connected the new fund’s mandate to a set of portfolio and partner projects that straddle AI and crypto-related infrastructure. The firm referenced Nous Research, known for Hermes Agent, as an illustration of its interest in AI systems that can be deployed in real-world settings. On the hardware side, investments such as Zipline, an autonomous drone developer, and True Anomaly, a space defense startup, reflect the firm’s view that AI-enabled robotics and autonomy will interact with digital finance and networked services.
On the crypto side, Paradigm pointed to Hyperliquid, a decentralized exchange, and Kalshi, a prediction market platform. Both reflect market structures where automation, liquidity, and cryptographic guarantees converge—conditions that are relevant to AI agents transacting on-chain. The firm also cited Tempo, a stablecoin-focused blockchain that it co-founded with Stripe. By emphasizing stablecoin infrastructure, Paradigm is drawing attention to settlement mechanisms designed for programmable money—components that can underpin AI-driven transactions and repeated micro-settlements.
Market Impact
Founded in 2018 by Matt Huang and Coinbase co-founder Fred Ehrsam, Paradigm has become one of crypto’s largest venture investors. The firm previously raised a $2.5 billion crypto fund in 2021 and an $850 million early-stage blockchain fund in 2024. The new $1.2 billion pool signals continued appetite for backing research-heavy, infrastructure-oriented projects, including those that enable AI agents to interact with blockchains and financial applications. While the new strategy encompasses robotics and other technologies, Paradigm framed the expansion as additive to its crypto thesis rather than a pivot away from it.
The firm’s focus on research and tooling suggests an emphasis on core components that make AI-on-chain activity practical. Developer infrastructure such as Ethereum clients and testing frameworks can affect the reliability and cost profile of autonomous transactions. Security benchmarks like EVMbench serve to measure and stress-test the assumptions underlying those transactions. Together, these pieces speak to a thesis in which AI systems require robust on-chain environments to operate predictably, especially when handling funds, enforcing permissions, or executing strategies in volatile markets.
Industry Response
Paradigm’s announcement aligns with a broader push by crypto and payments firms to support agentic use cases. Coinbase and Stripe have rolled out payment tools aimed at enabling AI agents to hold and transfer value using wallets and stablecoins, complementing the type of initiatives highlighted by Paradigm. As those capabilities expand, they create demand for exchanges, prediction platforms, and settlement layers engineered for software-driven activity—areas represented by Hyperliquid, Kalshi, and Tempo in the firm’s portfolio and collaborations.
In remarks accompanying the fund launch, Paradigm described the present as an era defined by multiple large-scale “exponentials.” The firm argued that this environment rewards teams willing to discard outdated assumptions and recompute their views as technology advances. With the fourth fund, Paradigm is positioning to finance founders who are building at the junction of AI and crypto, while continuing to ship internal tools and benchmarks aimed at improving the safety and performance of on-chain systems.
By linking capital, research, and developer infrastructure, the firm’s plan centers on enabling AI agents and blockchain applications to interact more seamlessly. The result, if successful, would be a technology stack where software agents can initiate payments, manage operational tasks, and rely on transparent settlement—without sacrificing the cryptographic assurances and programmable logic that define crypto networks. Paradigm’s message is that these capabilities are not separate tracks but complementary frontiers, and that its new fund is designed to support teams building where they meet.
