The rapid development of artificial intelligence (AI) is profoundly reshaping the global economic system, while cryptocurrency and blockchain, as digital native assets and trust infrastructure, are at the forefront of this transformative intersection.

Based on the latest developments as of February 2026 and insights from technology experts, this article explores how AI will have multi-dimensional impacts on the cryptocurrency ecosystem in the short term (2026–2027) and medium to long term (2028+).

1. AI Agents: Cryptocurrency is entering the era of the 'machine-native economy.'

The most significant trend in 2026 is the commercialization breakthrough of agentic AI (autonomous intelligent agents). Leading models such as OpenAI, Anthropic, and xAI have achieved multi-step planning, tool invocation, and long-term memory, with enterprise-level AI agents beginning to handle complex workflows that span hours to days.

Expert consensus (Galaxy Research, SVB, Pantera Capital, etc.) believes that AI agents will become the most direct 'killer application' for cryptocurrencies:

• Autonomous trading and DeFi optimization: AI agents can monitor yields (Aave, Compound, Curve, etc.) 24/7, automatically rebalance liquidity, avoid impermanent loss, and even execute cross-chain arbitrage. By 2026, DeFAI (DeFi + AI) or AgentFi is expected to manage trillions of dollars in TVL, becoming 'algorithmic whales'.

• Machine-to-Machine payments: AI agents cannot use cash, but can easily use stablecoins. Protocols like x402 (which have processed tens of millions of transactions on Base and Solana) bring micro-payment costs between agents close to zero, with expectations of accounting for 30% of daily transactions on Base and over 5% of non-voting transactions on Solana by 2026.

• Prediction markets and information markets: AI agents will replace humans in pricing and trading prediction contracts, driving platforms like Polymarket to explode.

Impact: Cryptocurrencies transition from 'human speculative tools' to AI-native settlement layers, with stablecoins and high-throughput Layer 2 chains (like Solana, Base) benefiting the most.

2. Blockchain addresses the core pain points of AI: trust, ownership, and decentralization

The rapid development of AI brings centralized risks (a few giants control computing power, data, and models), while blockchain provides complementary solutions:

• Decentralized computing power and data markets: Projects like Bittensor (TAO), Render (RNDR), and NEAR are building distributed GPU networks and data markets to alleviate the power and computing bottlenecks of AI training.

• Verifiability and traceability: Blockchain provides an immutable provenance for AI outputs, addressing the authenticity crisis of generated content. Projects like Story Protocol enable intellectual property to be traceable in the AI era.

• Proof of Personhood: Systems like Worldcoin distinguish between humans and AI agents to prevent Sybil attacks and the proliferation of synthetic identities. By the end of 2025 and early 2026, World Network has verified over 17–18 million unique humans (Orb verified users). For example: official data from December 2025: 17,804,219 verified humans, covering all six continents. October 2025: surpassed 17 million, adding over 2 million in just three weeks. July 2025: approximately 14 million verified humans, with total users of World App exceeding 30 million. These numbers indicate that the system has reached a certain scale, proving its ability to handle large-scale unique verification in practical deployment, rather than merely staying at the conceptual stage.

Expert opinions (Grayscale, a16z crypto) suggest that 'AI needs blockchain to solve trust issues' will become one of the strongest narratives from 2026 to 2027, and related tokens (like TAO, NEAR, IP) may see significant revaluation.

3. Infrastructure synergy: A triple resonance of electricity, computing power, and on-chain settlement

• Bitcoin miners transition to AI/HPC: By 2025, over half of the leading mining companies have announced their shift to AI data centers, with this trend accelerating in 2026. Miners' electricity infrastructure directly supports AI training, creating a 'mining + AI' hybrid model.

The scale of transformation led by the US: Core Scientific and CoreWeave signed contracts exceeding $10 billion, providing hundreds of megawatts of HPC capacity; Hut 8 and Fluidstack signed a $7 billion agreement to deploy a large number of NVIDIA GPUs; Cipher Mining won a $5.5 billion contract with AWS; TeraWulf, Riot, Marathon, and others have also signed large AI hosting agreements, with AI revenue expected to significantly surpass mining.

Canada accelerates follow-up: Iris Energy wins nearly $10 billion in AI cloud contracts from Microsoft, aiming for annual AI revenue in the billions; Bitfarms plans to fully transition to AI data center operations by 2027.

Other regions like the UAE, Marathon Digital and Zero Two have jointly built a 250MW immersion cooling facility to support mixed modes of AI and mining.

• On-chain as the underlying AI economy: When AI agents generate economic activities on a large scale, low-cost, high-throughput public chains (Solana, Base, Polygon, etc.) will become the preferred settlement layer. Traditional finance struggles to handle massive micro-payments between machines.

4. Risks and challenges coexist

• Crypto AI sector performance is polarized: Although the mainstream AI market is projected to reach $376 billion in 2026, the crypto AI sector (TAO, FET, NEAR, etc.) has a market cap of only about $22 billion, with a significant drawdown expected in 2025. Poor liquidity, unclear revenue models, and a retreat from speculation are the main reasons.

• Regulation and security: AI agents going out of control or hacking attacks could lead to significant on-chain losses; the EU AI Act and state-level regulatory games in the US will affect cross-border deployment.

• Bubbles and concentrated risks: Overheated investment in AI infrastructure may trigger a correction similar to the 2022 crypto winter.

5. Future outlook: Key milestones from 2026 to 2030

• 2026: The first commercial long-term autonomous agents appear, and AI agent trading accounts for a significant proportion of on-chain activity; Chinese open-source models dominate the value competition, and DeFAI TVL surges.

• 2027–2028: World models mature, and robots deeply integrate with the on-chain economy; early AGI-level systems may emerge, pushing on-chain governance from smart contracts to verifiable AI rules.

• 2028+: If recursive acceleration (AI leading AI development) occurs, the prototype of superintelligence will completely reshape the value capture model, and cryptocurrencies may become the main 'blood' of the global AI economy.

In conclusion, AI is not a competitor to cryptocurrencies, but an ultimate amplifier—it will accelerate the transition of blockchain from 'digital gold and speculative casino' to 'global settlement and trust layer for autonomous machine economies'. 2026 is the critical point for this integration: projects and chains that capture the three main lines of AI agents, decentralized infrastructure, and stablecoin payments are expected to welcome the next round of structural opportunities, while those who miss out may be left on the narrative's edge.