1. Market Rotation Law: The seesaw effect between BTC and AI altcoins
The current cryptocurrency market shows a clear "BTC bloodsucking - AI altcoin plummet - BTC stabilization - AI rebound" rotation rhythm. Bitcoin, as a safe-haven asset, attracts capital inflow during periods of macro uncertainty, directly leading to liquidity withdrawal from high-risk AI concept coins.
LYN (Everlyn) is a typical case of extreme volatility—being a leader in the AI video generation sector, it experienced panic selling during Bitcoin's rebound, "falling hard", but achieved a V-shaped recovery thanks to solid technical fundamentals. This "violent washout + rapid recovery" trend is a microcosm of the high volatility and elasticity in the AI sector.
Rotation strategy suggestions:
- BTC strong period: Reduce positions in AI altcoins, retain core positions, and focus on overselling buying opportunities
- BTC volatility period: Increase positions in AI leaders with real technological landing, avoiding purely narrative projects
- Key signals: When leading projects like LYN, VVV stabilize after falling, it often indicates a return of the AI sector's rotation
II. In-depth analysis of core targets: layered configuration framework
The current AI + Crypto track has moved from "concept hype" to the "application landing" stage. We will layer the projects by infrastructure layer → middleware layer → application layer to help you build a more systematic investment portfolio.
[Infrastructure Layer] Decentralized computing power and data network
1. TAO (Bittensor)——Decentralized machine learning network
- Core positioning: Open-source machine learning protocol, building "digital swarm intelligence", allowing multiple ML models to collaborate and share intelligence in a single network
- Technical highlights:
- Subnet architecture: Different subnets focus on specific AI tasks (such as inference speed optimization), with several subnets already outperforming Web2 competitors in terms of performance
- EVM compatibility: Introducing DeFi functions to attract crypto-native developers
- dTAO upgrade (expected Q1 2025): Each subnet will issue independent tokens to achieve "market-driven block reward distribution"——the better the subnet performs, the higher the token value and the more rewards received
- Investment logic: dTAO will be a significant turning point, achieving "innovation is mining", quality subnets can directly capture capital premiums
- Risk warning: A steep inflation plan has previously limited price performance, attention is needed for the token economic reconstruction after dTAO's landing
2. FET → ASI (Artificial Superintelligence Alliance)——AI superintelligence alliance
- Core positioning: In 2024, formed by the merger of three major AI projects Fetch.ai + SingularityNET + Ocean Protocol, aiming to build decentralized AGI (General Artificial Intelligence) infrastructure
- Ecological collaboration:
- Fetch.ai: Providing automation tools (travel, logistics, mobility scenarios)
- SingularityNET: AI service market, developers can list AI services and earn revenue
- Ocean Protocol: Data layer infrastructure, supporting dataset sharing and monetization
- Token merger progress: FET has been used as a transition token and will ultimately unify as ASI token. An additional 1.477 billion FET will be minted by May 2025, with a total supply of 2.63 billion, to support the conversion mechanism
- Investment logic: The merger of three strengths forms a complete stack of "automation tools + AI market + data layer", making it the largest decentralized AI alliance by market capitalization
3. RENDER (Render Network)——Distributed GPU rendering network
- Core positioning: An established project founded in 2016, allowing GPU owners to rent idle computing power, focusing on AI rendering and graphics computing
- Technical integration: Integrating AI technology into systems to enhance energy efficiency and strengthen decentralized solutions
- Market position: The largest decentralized rendering network in the Ethereum ecosystem, benefiting from the explosion in demand for AI-generated content (AIGC)
4. AKT (Akash Network)——Decentralized cloud computing market
- Core positioning: "Airbnb for cloud services", connecting supply and demand for computing power, providing AI training and inference computing power at lower costs than AWS/Google Cloud
- AI track relevance: As AI model scales expand, demand for decentralized computing power surges, with Akash becoming an important infrastructure for training open-source large models
5. AIOZ (AIOZ Network)——Web3 storage + AI computing + streaming
- Core positioning: Decentralized physical infrastructure network based on Cosmos, providing one-stop solutions for storage, content distribution, and AI computing needs
- Differentiated advantages:
- Decentralized AI computing: Providing AI functionalities while ensuring data privacy
- Video streaming media: Supports live and on-demand, filling the gap in Web3 content distribution
- Node incentives: AIOZ token rewards provide storage and bandwidth for node operators
- Circulation data: Current circulation volume is about 1.24 billion AIOZ
[Middleware Layer] AI Agent infrastructure and privacy computing
6. VIRTUAL (Virtuals Protocol)——AI Agent tokenization and commercial protocol
- Core positioning: The "IPO platform" for AI Agents, supporting no-code creation, tokenized deployment, and on-chain commercial activities
- Significant upgrades in 2026:
- Agent Commerce Protocol (ACP): AI Agent can autonomously conduct commercial transactions on the smart contract layer
- OpenClaw Node SDK: Developer toolkit, lowering the threshold for Agent deployment
- Triple launch system: Pegasus/Unicorn (automated Bonding Curve) + Titan (500,000 USDC direct liquidity pairing)
- Economic model: Creating an Agent requires a payment of 1000 VIRTUAL, tokens used for governance and liquidity guidance
- Investment logic: If the vision of "Agentic GDP" (autonomous Agent economy) is realized, VIRTUAL will become the underlying currency of the AI Agent economy
7. OLAS (Autonolas)——Off-chain services and autonomous Agent network
- Core positioning: Unifying off-chain service networks (automation, oracles, shared artificial intelligence), supporting the construction and incentives of decentralized AI services
- Core innovation:
- Composable stack: Developers can assemble components to build complex Agent services
- Shared artificial intelligence: Services owned and governed by the community
- Developer incentives: Through the veOLAS governance mechanism, using OLAS tokens to "boost" ETH donations for quality services
- Representative application: Governatooorr——the first AI-powered DAO governance delegation Agent
- Token functions: Staking operational services, locking to obtain governance rights, increasing protocol's own liquidity through bond LP shares
8. PHA (Phala Network)——TEE privacy computing and Agent security
- Core positioning: Privacy computing cloud based on TEE (Trusted Execution Environment), providing a "usable but invisible" secure execution environment for AI Agents
- Key cooperation: Deep integration with ai16z's Eliza framework, providing Dstack SDK implementation:
- Private key custody: Agents can manage encrypted assets autonomously, and developers cannot tamper with it
- Model protection: Fine-tuned models run in TEE to prevent adversarial attacks and theft
- Verifiable execution: Ensuring Agent decisions are trustworthy through cryptographic proofs
- Application scenarios: Spore.fun and aiPool are already running in Phala TEE, achieving complete autonomous control of assets by Agents
- Investment logic: In the transitional phase where AI Agents cannot be fully on-chain, TEE is the key bridge connecting off-chain computing and on-chain consensus
[Application Layer] Vertical scene landing
9. LYN (Everlyn)——Text-to-video/multimodal intelligent agent
- Core positioning: The world's first open-source foundational video model + multimodal intelligent agent ecosystem, "Open Dream Machine"
- Technical highlights: Autoregressive video generation, programmable intelligent agent API (AAPI), on-chain content traceability
- Financing background: Completed $15 million financing in August 2025, with participation from Sui, MH Ventures, Aethir, etc., with a valuation of $250 million
- Competitive landscape: Benchmarking closed ecosystems like Runway, Synthesia, and competing with open-source + decentralized differentiation
10. VVV (Venice.ai)——Privacy-first large language model infrastructure
- Core positioning: A private, uncensored AI inference platform, "the privacy coin of AI"
- Innovative economic model: Dual token (VVV capital asset + DIEM computing points), staking APY about 19%, 1 DIEM = $1 daily permanent API quota
- Data performance: Monthly active users will exceed 2 million in February 2026, and the token burn mechanism will tighten supply after initiation
11. SIREN (Siren AI)——AI-driven trading intelligence and risk control
- Core positioning: AI trading analysis + risk warning infrastructure on the BNB Chain, "DeFAI" benchmark
- Dual personality AI system: Golden Persona (robust risk control) + Crimson Persona (aggressive opportunity capture)
- Market position: Launched first on Binance Alpha, DWF Labs invested, and CZ's participation in token burn caused supply shock
12. AIXBT (aiXbt by Virtuals)——The "Bloomberg terminal" for on-chain data analysis
- Core positioning: Web3.0 version of Bloomberg terminal, focusing on analyzing market data, capital flows, and trends
- Core functions: Real-time tracking of whale wallets, token economics, market sentiment narratives, output speed far exceeds human analysts
- Business model: A paid subscription system will soon be launched, with fees settled in AIXBT and used for token buyback and destruction, forming a deflationary closed loop
13. CLANKER (tokenbot)——"One-click token issuance" AI Agent on the Base chain
- Core positioning: Simplifying Base chain token creation, users only need to @clanker on Farcaster and input prompt words to automatically deploy audited ERC-20 contracts
- Economic model: Creators can receive economic incentives, the protocol has generated $13 million in revenue (within 5 months)
- Risk warning: Tokens themselves lack mandatory usage scenarios, more as governance and meme attributes
14. ANON (Hey Anon)——natural language DeFi protocol
- Core positioning: Simplifying DeFi operations through natural language commands, supporting cross-protocol exchanges, bridging, and yield optimization
- Technical features: Aggregating real-time project data, AI Agent handling multi-step transactions and yield strategies
- Token functions: Governance rights, AI service discounts, ecological impact
15. ARC (AI Rig Complex)——AI workflow orchestration suite
- Core positioning: Modular AI component combination tool, evolving towards "OpenClaw" type autonomous agent platform
- Key variables: Whether it can transform from a passive tool to an actively executing Agentic platform
III. Investment strategy: Three-layer position + rotation rhythm
Configuration framework update
Level Target type Position proportion Representative projects Strategy logic
Core layer (infrastructure) Decentralized computing power + data 40% TAO, ASI(FET), RENDER, AKT, AIOZ The bottom layer of the track, capturing the explosion of AI computing power demand Beta
Middleware layer Agent infrastructure + privacy computing 30% VIRTUAL, OLAS, PHA Connecting applications and chains, with high technical barriers
Application layer (conservative) Clear technology landing 20% LYN, VVV, SIREN, AIXBT User growth and revenue models are visible
Game layer (high risk) Early/narrative-driven 10% CLANKER, ANON, ARC, UAI High elasticity, strict stop-loss
Rotation rhythm refinement
Phase I: BTC Dominance rising period
- Reduce holdings of application layer narrative coins (CLANKER, ANON, etc.)
- Retain core positions in infrastructure (TAO, ASI)
- Focus on oversold opportunities: Gradually build positions as leading projects like LYN, VVV pull back 30%+
Phase II: BTC high volatility period
- Increasing positions in the middleware layer (VIRTUAL, OLAS, PHA)——Agent infrastructure is the most certain narrative of 2026
- Focus on technical milestones: dTAO launch (TAO), ASI token unification (FET), Agent Commerce Protocol landing (VIRTUAL)
Phase III: AI sector explosion period
- Leading application layer (LYN, VVV, SIREN) is leading the gains, gradually taking profits
- Rotating to the infrastructure layer, locking in long-term gains
IV. Key catalysts and risks in 2026
Major catalysts
1. Bittensor dTAO launch (postponed from Q1 2025 to 2026): Subnet tokenization will activate ecological innovation
2. ASI alliance token unification: FET → ASI brand upgrade, potentially leading to liquidity revaluation
3. Virtuals ACP protocol adoption: AI Agent business closed-loop verification, determining the VIRTUAL valuation ceiling
4. Phala TEE ecological expansion: More Eliza framework Agents will be integrated, becoming the standard for Agent security layers
Systematic risk
- Computing power cost risk: AI video generation (LYN) and large model inference (VVV) have extremely high GPU demand, if computing power prices skyrocket, profit margins may be compressed
- Regulatory uncertainty: Copyright of AI-generated content, compliance with data privacy (especially TEE and privacy AI projects)
- Technical iteration risk: OpenAI and other giants open-sourcing or reducing prices may impact the economic viability of decentralized AI
- Token unlock pressure: Projects like SAHARA will experience significant unlocks in January 2026, requiring attention to circulation changes
Disclaimer: This article is for informational reference only and does not constitute investment advice.
This guide is based on the latest market information from March 2026, project dynamics may change rapidly, and it is recommended to follow official channels for real-time updates.