The Rise of Web3 Digital Identity: How DID, AI Agents, and eIDAS 2.0 Are Reshaping Blockchain Trust Infrastructure

Over the past several years, the blockchain industry has undergone multiple narrative cycles, from DeFi to NFTs, from Layer 2 to AI + Crypto. Market attention has consistently focused on assets and infrastructure. Yet a more fundamental question is now coming to the forefront: How do we establish trust in a decentralized digital world?

In 2026, the answer is becoming increasingly clear: decentralized identity (DID) is evolving from a supporting component of Web3 into a core infrastructure layer. The rollout of the EU’s eIDAS 2.0 digital identity wallet, the hard requirement for autonomous identity authentication by AI Agents, and the implementation of on-chain identity standards such as ERC-8004 are collectively driving a revaluation of the decentralized identity sector.

Ontology, a representative project in this space, has seen its ONT token demonstrate distinctive price resilience amid recent market volatility. This reflects a systematic increase in market expectations for the DID sector. This article examines the structural changes unfolding in Web3’s identity layer from three perspectives: industry dynamics, technological evolution, and market data.

Web3’s Trust Dilemma: Beyond Assets, Identity Is Missing

Current blockchain infrastructure has become relatively mature at the asset layer. Bitcoin and Ethereum enable the secure transfer of digital assets, smart contracts allow logic to execute without third parties, and DeFi protocols have built a complete set of financial Lego blocks. Yet a fundamental gap remains: there is no true concept of "identity" on-chain.

In the account models of mainstream public blockchains such as Ethereum, a user’s on-chain presence is reduced to a public-key address. That address records transaction history and asset balances, but it cannot answer questions such as "Who owns this address?", "Is the entity behind this address trustworthy?", or "What qualifications does this entity possess?"

This limitation creates practical constraints across many scenarios. In DeFi lending, users cannot receive differentiated interest rates based on on-chain credit records. In cross-chain interactions, identity fragments across different chains are difficult to consolidate into a unified digital persona. In on-chain governance, there is no reliable mechanism for mapping voting weight to real-world identity.

The deeper contradiction is this: the decentralization ideal championed by Web3 requires a decentralized identity layer to support it. Without an identity layer, smart contracts cannot distinguish among different types of participants—human users, AI Agents, machine nodes, and DAO organizations—nor can they assign differentiated permissions and responsibilities to each.

The Urgent Need for Identity in the AI Agent Era

In 2026, the explosive growth of AI Agents has injected unprecedented demand into the DID sector.

AI Agents are evolving from simple chatbots into intelligent entities capable of autonomously performing on-chain actions. They can execute DeFi strategies, manage asset portfolios, and negotiate transactions with other Agents. However, when an AI Agent needs to call a smart contract, transfer assets, or make decisions on behalf of a user, how can the blockchain verify that "this Agent is authorized to perform this action"?

The answer points to an on-chain identity system.

Agents require three identity capabilities: identity verification, permission management, and behavioral records. Identity verification ensures the chain can identify which Agent initiated a request. Permission management allows users to set granular operational boundaries for Agents. Behavioral records establish traceable reputation profiles for Agents, allowing other protocols or Agents to assess their trustworthiness.

The emergence of the ERC-8004 standard directly responds to this need. The standard was jointly initiated by contributors from MetaMask, the Ethereum Foundation, Google, and Coinbase, and has now been deployed across five blockchain networks. Through three on-chain registries—Identity, Reputation, and Validation—ERC-8004 gives AI Agents verifiable digital identities. As Agents complete tasks, they accumulate on-chain records, and their credibility naturally builds over time.

Cobo’s Agentic Wallet serves as an industry example of this trend. The solution uses ERC-8004 to provide an identity layer for institutional-grade AI Agents, enabling Agents to collaborate across platforms and undergo compliance audits. The x402 payment protocol adds an economic layer for automated micropayments between Agents: when Agent A requests a service from Agent B, an HTTP 402 status code can trigger an automatic USDC transfer, with no human intervention required throughout the process.

It is foreseeable that, in a new generation of Agent-driven network architecture, identity will replace assets as the most foundational resource layer. Agents without identities cannot be recognized, trusted, or authorized, nor can they participate in any valuable on-chain activity.

Digital Identity as Web3’s Foundational Layer: From Internet Account Systems to Decentralized Identity

Looking back at the development of the internet, account systems have always served as an infrastructure layer for online applications. From early email logins to today’s one-click sign-in with Google or Apple accounts, identity authentication systems support the internet’s economic activity and social relationships.

Web3 is following this path, but reconstructing it in a decentralized way.

The architectural advantages of self-sovereign identity. In traditional internet account systems, platforms store and control identity data, while users’ access to their own data is constrained by the platforms’ commercial rules. The core paradigm shift of decentralized identity (DID) is that the right to create, hold, and control identity returns to users themselves through a public-private key system, enabling self-sovereign identity (SSI).

Ontology has focused on this direction since its mainnet launch in 2018. Its ONT ID is a decentralized identity protocol that allows users to manage identity credentials independently. Recent developments show that ONT ID is integrating zero-knowledge proof (ZKP) capabilities, allowing users to complete identity verification without disclosing original information—for example, proving "I am over 18" without presenting a complete identity document. This technological combination makes selective disclosure possible, creating a technical bridge between privacy protection and compliance requirements.

The composability and cross-chain capabilities of the identity layer represent another critical dimension. In Web3’s multichain ecosystem, users may hold different addresses and assets across Ethereum, Solana, Polygon, and other chains. The significance of a DID system lies in providing a unified identity anchor for these fragmented on-chain presences, enabling reputations, credentials, and permissions to interoperate across chains.

Macroeconomic Catalyst: eIDAS 2.0 Drives Digital Identity Mainstream Adoption in Europe

In 2026, the decentralized identity sector received a powerful macro catalyst: the advancement of the EU’s eIDAS 2.0 digital identity framework.

According to the EU’s plans, approximately 450 million European citizens will receive government-backed digital identity wallets by the end of 2026. These wallets support core features such as selective disclosure, user-controlled privacy, and portable credentials—principles that closely align with the technical philosophy of DID projects. eIDAS 2.0 is driven by top-down regulation, while DID is driven by bottom-up protocols. Rather than competing, they represent different layers of the same digital identity stack.

The market impact of this policy signal has already been reflected in the price performance of related assets.

Market Data and ON Price Performance

On August 25, 2026, Gate market data showed that the Ontology (ONT) price was $0.05027, up +3.84% over the past 24 hours, with gains of +33.44% over the past seven days and +19.75% over the past 30 days.

Source: Gate market data

ONT has rebounded significantly since late March, catalyzed by eIDAS 2.0. It once recorded a single-day gain of more than 55%, while trading volume surged by over 3,000%. This price action reflects the market’s strong recognition of ONT’s narrative as digital identity infrastructure. ONT has a market capitalization of $50.38 million, a circulating supply of approximately 934 million tokens, a total supply of 1 billion tokens, 24-hour trading volume of $159,100, and a neutral market sentiment rating.

Notably, ONT’s price has established relatively strong support near its March 2026 low of $0.03485. Its recent rebound is attempting to break through the short-term resistance level of $0.05185. If the macro digital identity narrative continues to gain momentum, the next key resistance level is near the previous high of $0.06468.

Technology Roadmap and Product Iteration

According to Ontology’s officially disclosed 2026 roadmap, the project is transitioning from infrastructure development toward product implementation and value capture.

On product integration, product lines including ONT ID, Orange Protocol (the reputation layer), and Ontello (the privacy layer) will be integrated into the ONTO wallet, creating a one-stop gateway for digital identity and asset management. For AI integration, the project plans to use AI algorithms to optimize permission-management processes for data sharing, positioning verified, user-consented data as a high-quality source of training data for AI models. At the economic-model level, a governance vote in January 2025 reduced on-chain gas fees by 80%, lowering the barrier to using DID applications. Tokenomics adjustments completed in 2024 permanently capped the total supply of ONG at 800 million tokens, with 200 million tokens already burned, creating a clearer economic link between network utility and token value.

Risks and Challenges

Despite the sector’s promising outlook, the mass adoption of DID still faces multiple challenges.

Interoperability standards have not yet been unified. W3C DID standards and on-chain standards such as ERC-8004 currently coexist, and identity interoperability across different ecosystems still requires technical adaptation. User education costs remain high. Independently managing private keys and credentials still presents cognitive and operational barriers for ordinary users, while mainstream adoption will require more user-friendly experience design. The regulatory environment remains uncertain. Although eIDAS 2.0 has sent a positive signal, countries still differ in their recognition of DID’s legal validity, and cross-border identity mutual-recognition mechanisms have yet to be established.

Conclusion

Digital identity is shifting from an optional feature to a necessity in Web3.

This transition is being driven by three forces: automated identity requirements resulting from large-scale AI Agent deployment, digital identity infrastructure development promoted by sovereign entities such as the EU, and a deeper recognition of the necessity of an identity layer in blockchain technology’s own evolution.

With nearly eight years of sustained development in the DID field, integration of privacy technologies such as ZKP, and forward-looking positioning around the convergence of AI and data sovereignty, Ontology has established an early-mover position in the sector. Recent fluctuations in ONT’s token price reflect the market’s gradual pricing of this narrative. However, the sector’s true value realization still depends on DID achieving scaled adoption across broader internet application layers.

From assets to identity, Web3’s trust infrastructure is undergoing a critical paradigm shift. This concerns not only the direction of the blockchain industry’s evolution, but also how the trust architecture of the next-generation internet will be redefined.

FAQ

Q1: What is the fundamental difference between DID (decentralized identity) and traditional digital identity?

Traditional digital identities are controlled by centralized platforms. User data is stored on platform servers, and platforms can unilaterally modify, restrict, or terminate users’ access to their identities. DID is based on blockchain public-private key systems, with the right to create, hold, and control identity belonging entirely to users themselves. Users can independently decide which data to share, with whom to share it, and for how long, without relying on authorization from third-party platforms. This enables genuine self-sovereign identity.

Q2: What does the EU’s eIDAS 2.0 mean for the DID sector?

eIDAS 2.0 is the EU’s digital identity regulation, which plans to issue government-backed digital identity wallets to 450 million European citizens by the end of 2026. These wallets support core DID principles such as user control over data and selective disclosure. This marks DID’s transition from a niche practice within the crypto community to national-level digital infrastructure, providing DID projects with a macro pathway toward compliant, large-scale adoption.

Q3: Why do AI Agents need decentralized identity?

To autonomously perform on-chain operations, AI Agents must have verifiable digital identities. The ERC-8004 standard provides Agents with capabilities for identity registration, reputation accumulation, and permission management. With an identity, an Agent can be recognized by smart contracts, evaluated for trustworthiness by other Agents, and execute transactions within permission boundaries set by users. Without an identity layer, Agents can only operate as undifferentiated scripts and cannot establish trust relationships.

Q4: What is Ontology’s differentiated positioning in the DID sector?

Ontology has focused on DID infrastructure since 2018, with ONT ID as its core product. Its differentiated advantages include integrating zero-knowledge proofs to enable privacy-preserving identity verification; focusing its 2026 roadmap on the convergence of AI and data sovereignty, positioning verified data as a high-quality source for AI training; and building an independent economic system through the dual-token ONT and ONG model, under which ONG’s total supply has been permanently capped at 800 million tokens.

Q5: What are the main bottlenecks currently facing the DID sector?

The large-scale adoption of DID faces three major challenges. In terms of interoperability, technical adaptation is still needed to enable interoperability among standards such as W3C DID and ERC-8004. In terms of user experience, independently managing private keys and credentials remains challenging for ordinary users. In terms of regulation, countries differ in their recognition of DID’s legal validity, and cross-border mutual-recognition mechanisms have not yet been established. Overcoming these bottlenecks will require industry collaboration and continued product iteration.