Centered on the merger of Ocean, Fetch.ai, and SingularityNET to form the ASI Alliance, a cross-sector funding round totaling $24 million, and Haun Ventures’ new $1 billion fund officially making the "agent economy" a core investment focus—by May 2026, the intersection of AI and crypto is shifting from narrative to structural reality.
What Is the Structural Logic Behind the Merger?
In April 2024, Fetch.ai, SingularityNET, and Ocean Protocol formally established the Artificial Superintelligence Alliance, aiming to integrate their expertise in autonomous agent frameworks, AI service marketplaces, and data exchange protocols. Each project contributed irreplaceable technical modules: Fetch.ai’s autonomous agent framework defined the foundation for agent interoperability; SingularityNET built a decentralized AI service marketplace, enabling developers to publish and access AI capabilities on-chain; Ocean Protocol provided secure and scalable data sharing infrastructure. This merger isn’t just a simple integration—it’s designed to build a universal, operating-system-level infrastructure that offers a unified foundation for running on-chain AI agents.
How Does the Token Economy Support a Unified Ecosystem?
The ASI Alliance’s token merger unfolds in two stages. The first stage converts AGIX and OCEAN into FET. The second stage migrates FET to ASI at a 1:1 ratio, marking a key milestone in the 2026 roadmap. As of May 13, 2026, the FET token migration window remains open, and FET holders can convert to ASI via the token migration contract until June 11.
This token economic model creates a unified hub for liquidity and governance. On the incentive side, Fetch.ai has undergone token migration, governance restructuring, and multi-phase integration, with its community governance model gradually moving from independent project voting to the Alliance’s overall framework. However, these unified designs also create tension between decentralization ideals and centralized efficiency. In October 2025, Ocean Protocol officially exited the ASI Alliance due to governance disagreements and legal constraints. Analysts noted that under the unified economic model, Ocean struggled to maintain independent fund management and deflationary mechanisms (such as token burning). This event highlights the deep risks decentralized organizations face when integrating multiple token economies: parameters like inflation rates, burn mechanisms, and emission curves vary widely across projects, making it an ongoing challenge to balance interests after a merger.
What Signals Is the Funding Market Sending?
From April to May 2026, early-stage funding in the AI + crypto sector continued to heat up. Balcony, an RWA infrastructure project built on the Avalanche blockchain, completed a $12.7 million seed round led by Blockchange Ventures. The funds will be used to deploy a real estate on-chain trading platform for the US market, leveraging AI threat detection to combat property fraud. Another institutional-grade quantitative AI trading platform, AlphaNet, closed a $10 million seed round led by Joffre Capital, aiming to bring quantitative trading capabilities—previously reserved for proprietary institutions—to retail users.
While modest in size, these two cases are paradigm-setting. Balcony combines on-chain RWA governance with AI-driven compliance checks, while AlphaNet merges on-chain trading discipline with AI strategy simulation. According to industry data, cross-sector AI and crypto funding in April totaled about $24 million, with Balcony and AlphaNet contributing $12.7 million and $10 million, respectively. Notably, the AI × Crypto sector’s total funding in 2025 exceeded $3.5 billion, representing 7.1% of all blockchain venture funding. These figures point to a clear trend: the fusion of AI and crypto is moving from fringe experimentation to mainstream investment.
Why Is Haun Ventures Betting Big on the Agent Economy?
On May 4, 2026, Haun Ventures—a crypto VC founded by former a16z partner Katie Haun—announced the completion of a new $1 billion fund, expanding its investment scope from blockchain infrastructure to the AI agent sector. Against the backdrop of most crypto VCs downsizing, this countercyclical expansion stands out.
Haun Ventures defines three core investment pillars for the new fund: next-generation financial infrastructure, asset tokenization and new markets, and the agent economy. Katie Haun publicly stated that AI agents require the ability to pay, trade, and subscribe to services—unlike human users who rely on traditional financial interfaces, agents need purpose-built crypto infrastructure to support 24/7, cross-border, high-frequency economic interactions. Just a day later, a16z crypto closed its fifth dedicated crypto fund at $2.2 billion, also prioritizing AI agents and on-chain finance. This means that in the same week, two top-tier firms deployed over $3 billion toward the agent economy and crypto financial infrastructure.
What Other Key Variables Exist in the Decentralized AI Sector?
Beyond the ASI Alliance, the decentralized AI sector has developed several competing technical paths. TAO positions itself as a fully decentralized AI blockchain, rising 65.5% in 30 days to a market cap of roughly $2.9 billion, making it one of the leading momentum players in AI. RENDER enables monetization of on-chain GPU computing power. VIRTUAL is building a tokenized capital market centered on agent-to-agent economics. By tokenizing AI agents, VIRTUAL supports issuance, trading, and economic collaboration, gradually evolving from an "asset issuance platform" to foundational agent business infrastructure.
These differentiated approaches indicate that no single dominant paradigm has emerged in decentralized AI. Divergences in governance models, token economics, and functional positioning across projects will shape the competitive landscape over the next one to two years.
How Is the ASI Alliance Progressing in Practice?
From a technical roadmap perspective, the ASI Alliance is delivering multiple foundational infrastructures throughout 2026. ASI:Chain TestNet is scheduled to launch within the year, with mainnet deployment expected at the end of 2026 or early 2027. On the application side, the ASI:Create platform is moving from closed beta to open beta, serving as a no-code AI agent builder that allows users to design, configure, and deploy autonomous AI agents without writing code. The platform integrates Fetch.ai’s autonomous agent framework, SingularityNET’s AI service marketplace, and CUDOS’s decentralized GPU computing infrastructure.
Also noteworthy is the ASI Alliance’s embedded $50 million "Earn and Burn" mechanism: fees generated by AI services on the platform are used to purchase FET tokens from the open market and permanently burn them, directly linking platform usage growth to token supply contraction. The Alliance’s Agentverse platform now supports thousands of autonomous AI agents operating in a unified environment, enabling developers to build, test, and deploy agents. These data points show that the ASI Alliance’s technical vision is moving from roadmap text to measurable engineering deliverables.
To What Extent Will Decentralized AI Reshape the Industry?
Galaxy Research recently introduced the concept of "zero-human companies": AI agents autonomously complete the entire economic cycle on-chain, from purchasing inference services to reinvesting profits. By connecting directly to native DeFi protocol interfaces and configuring capital autonomously, AI agents are evolving from mere tools to economic actors with "corporate" status. The number of on-chain AI agent deployments on BNB Chain jumped from 337 in early January 2026 to over 150,000, with one in three on-chain AI agents running on BNB Chain. Agent-driven daily DEX trading volume peaked at more than $18 million.
At the end of April 2026, Circle launched nano payments on 11 EVM mainnets, supporting zero-gas USDC transfers as small as $0.000001, specifically designed for high-frequency, microtransactions between AI agents. The time-coupling between specialized payment infrastructure and the exponential growth of AI agents further reinforces a key insight: the financial infrastructure for the agent economy is rapidly taking shape.
Summary
The ASI Alliance’s unified token and ecosystem construction provides a tangible, large-scale case study for decentralized AI infrastructure. Haun Ventures’ $1 billion bet on the agent economy, combined with $24 million in early-stage funding for Balcony and AlphaNet driving real-world applications in RWA and quantitative trading, and the sustained capital inflows from global top investors at the intersection of AI and crypto, are propelling this sector from proof-of-concept to infrastructure competition. The true value of decentralized AI will depend on whether the underlying infrastructure can support large-scale operation of the agent economy.
FAQ
Q: What is the relationship between FET and ASI?
FET is currently the unified token standard post-merger. According to the ASI Alliance roadmap, the second stage will migrate FET to ASI at a 1:1 ratio. As of May 13, 2026, the migration window remains open.
Q: Ocean Protocol has exited the ASI Alliance—does the Alliance remain valid?
After Ocean Protocol’s official exit in October 2025 due to governance disagreements, Fetch.ai and SingularityNET continue to advance the Alliance’s infrastructure development. CUDOS also provides decentralized GPU computing resources as a network member.
Q: What are the key investment areas for Haun Ventures’ new fund?
Haun Ventures’ new fund totals about $1 billion, focusing on three areas: next-generation financial infrastructure, asset tokenization and new markets, and the agent economy (AI Agents).
Q: How large is the current AI + crypto funding sector?
In 2025, the AI × Crypto sector raised over $3.5 billion, accounting for 7.1% of total crypto venture funding. In April 2026 alone, the sector saw about $24 million in funding.
Q: What are the core infrastructures for the AI agent economy?
AI agents require specialized payment layers (such as nano-scale micro payments), identity verification layers (KYA, or "Know Your Agent" frameworks), and decentralized computing layers (like GPU resources). Together, these form the foundational base for the agent economy’s operation.
