How AI Agents Could Push Ethereum Toward a New Growth Cycle
By: CryptoSlate
The convergence of AI and crypto is accelerating fast — and 2025 is shaping up to be a turning point. As autonomous agents, decentralized compute, and machine-to-machine payments mature, Ethereum is positioning itself as the settlement and trust layer for the coming machine economy. With new standards like ERC-8004, rising agent-driven DeFi activity, and industry-wide pilots around automated payments, the question is no longer if machines will transact, but where their economic coordination will live.
In this analysis, we explore how Ethereum and competing AI-centric ecosystems are preparing for a new economic cycle driven by intelligent agents — and whether this could spark the next major Ethereum rally.

Ethereum’s dAI Roadmap: Building the Identity and Trust Layer for Agents
Ethereum has taken a decisive step toward formalizing its role in agentic infrastructure. The formation of a dedicated dAI (decentralized AI) Team signals a multi-year commitment to:
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Agent identity and authentication
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On-chain trust and verifiable credentials
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New payment and settlement standards
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Unified attestation systems for automated actors
At the center of this roadmap is ERC-8004, a draft identity and credential standard that enables:
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Agent verification at the protocol level
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Permissioned or restricted agent spending
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On-chain attestations for risk policies
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Trust-minimized interactions between autonomous agents
This effectively positions Ethereum as the primary coordination and settlement layer for decentralized agent economies — a role previously impossible due to fragmented identity and off-chain trust assumptions.
The Ethereum Foundation expects core research, standards, and wallet integrations to roll out through 2026, creating a shared trust substrate for agent-based dApps.
AI Token Momentum Signals Structural Demand
Even amid broader market volatility, AI-linked crypto assets have outperformed. Tokens tied to decentralized compute and agent frameworks show steady usage and resilient pricing, including:
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Bittensor (TAO) — decentralized training markets
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Fetch.ai (ASI) — autonomous agent frameworks
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Internet Computer (ICP) — native on-chain app hosting and AI inference
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Render (RNDR) — GPU marketplace for AI workloads
These ecosystems continue to benefit from increasing demand for:
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Decentralized model inference
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Low-latency compute
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Agent execution environments
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Data marketplaces for AI systems
Market trackers such as Koinly and Token Metrics report consistent inflows into these ecosystems — reflecting a structural, not speculative, trend.
AI-Native DeFi Is Quietly Scaling
DeFi’s total value locked (TVL) has rebounded from early-2025 lows, rising from around $72B to near $100B. A notable share of this growth comes from:
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AI-governed AMMs (e.g., Blackhole DEX on Avalanche)
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Agentic execution layers (Sahara AI, Moby AI)
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Cross-chain autonomous liquidity managers
Token Metrics forecasts that by late Q4 2025:
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15–20% of all DeFi transactions may be executed by autonomous smart agents
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AI-integrated protocols could drive total DeFi TVL to $200–300B by 2026
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Gas demand for identity, verification, and execution contracts may rise 30–40% QoQ once ERC-8004 reaches ecosystem adoption
This makes AI-driven execution a meaningful catalyst for Ethereum network usage.
The Payments Stack Is Moving Toward Machine-to-Machine Commerce
A major enabler of AI x crypto adoption comes from outside the blockchain industry.
In September, Google launched AP2 (Agents to Payments) — a protocol enabling software agents to request, verify, and process payments with:
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Explicit user consent
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Verifiable agent identities
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Reversible transactions
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Auditability for compliance
Early pilots include integrations with Ethereum and ICP via third-party connectors, bridging traditional bank accounts with crypto-native settlement.
Once wallets treat agents as first-class users, ERC-8004-like attestations will allow:
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Spend limits
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Counterparty restrictions
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Multi-signature or human approval thresholds
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Automated subscription payments
The result: fully automated, machine-native billing and settlement flows.
Security Benefits: Autonomous Contracts Could Reduce Attacks by 70%
Security is a critical dependency for widespread agent adoption. Recent research suggests that smart contracts assisted by AI-driven anomaly detection and adaptive parameters can:
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Reduce the success rate of exploits by up to 70%
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Identify abnormal activity in real time
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Quarantine malicious flows
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Enforce parameter changes dynamically
However, transparency and auditability remain essential. Regulators in the U.S. and EU are pushing for clear visibility into:
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Agent identities
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Model risk
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Exception handling
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Automated decision boundaries
This aligns with Ethereum’s emphasis on verifiable on-chain attestations rather than opaque AI controls.
Ecosystem Breakdown: The Machine Economy Is Multichain
Different chains are emerging as specialized layers within the machine economy:
| Ethereum | Agent identity & settlement (ERC-8004) | $38B+ | Trust & coordination layer |
| Bittensor | Decentralized training markets | ~$1.4B | Open AI compute |
| Fetch.ai | Autonomous agent frameworks | ~$640M | Machine coordination |
| Render | GPU & inference marketplace | ~$985M | AI compute backbone |
| ICP | Native on-chain AI hosting | $800M+ | Low-latency inference |
| Blackhole DEX (Avalanche) | AI-governed AMMs | ~$193M | Agent-driven liquidity |
These ecosystems are complementary rather than competitive. The thesis: as agents become the default economic actors, demand for decentralized compute, data, and settlement expands across multiple chains.
2026 Scenarios: Base, Bull, and Bear
Base Case (Most Likely)
Ethereum consolidates its role as the identity and settlement layer.
At least 25% of new dApps integrate agent automation.
Bull Case
A full machine economy emerges:
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DeFi TVL > $300B
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AI API marketplaces hit mass adoption
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Machine-to-machine payments become mainstream
Bear Case
Regulatory licensing and compute centralization slow open innovation.
Participation concentrates around a few large players.
Conclusion: The Machine Economy Shifts Crypto from Narrative to Utility
The real catalyst for the next Ethereum surge may not come from speculation — but from measurable adoption of agent identities, on-chain attestations, AI-integrated DeFi, and automated payments.
If identity, policy enforcement, and settlement all move on-chain, Ethereum becomes the operating system for machine commerce.
If not, crypto risks becoming a peripheral settlement tool.
The balance is shifting — and 2025–2026 will determine where agents truly call home.
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