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AI-Native Domain Name System AIDNS Approved by ICANN: Domains Become Semantic Indexes for AI Agents

ICANN formally approves the AIDNS protocol, allowing domains to carry semantic metadata so AI agents can directly understand website content and service types without visiting pages.

AI-Native Domain Name System AIDNS Approved by ICANN: Domains Become Semantic Indexes for AI Agents

On June 4, 2029, ICANN formally approved the AI-Native Domain Name System AIDNS protocol at its 87th public meeting. The protocol allows domain registrants to attach structured semantic metadata to their domains, enabling AI agents to understand a domain's content type, service scope, and trustworthiness level without visiting the website.

AIDNS emerged from an increasingly prominent problem: as AI agents' internet activity grows, the existing domain name system provides insufficient semantic information. When an AI agent needs to book a restaurant for a user, it must visit each candidate website to determine which are actual restaurants, which are review sites, and which contain outdated information. AIDNS solves this efficiency problem by embedding semantic labels in DNS records.

Protocol Design

AIDNS adds a new SEMTYPE record on top of existing DNS infrastructure. This record contains four fields: category, service type, language range, and trust score. Category defines the domain's industry sector, service type describes the specific services offered, language range lists the website's supported languages, and trust score is rated by third-party auditors.

Registrants can fill in SEMTYPE records when applying for domains, but trust scores must be assessed by ICANN-accredited auditing organizations. Seven institutions currently hold auditing qualifications, including VeriSign (US), CNNIC (China), and EURid (Europe).

Impact on Search Engines

AIDNS's approval is widely seen as reshaping the search engine market. When AI agents can obtain website semantic information directly from DNS records, traditional search engines' role as "information intermediaries" will be diminished.

Google's VP of Search issued a statement after the ICANN meeting confirming Google's technical readiness for AIDNS and plans to integrate AIDNS data into search ranking algorithms by end of 2029. Microsoft's Bing team went further, announcing Bing's AI assistant Copilot will prioritize AIDNS data for service recommendations.

Privacy and Abuse Risks

Critics warn AIDNS could be abused for content censorship. If governments or institutions can control trust scores to determine which domains are "trustworthy," it becomes a new internet censorship tool.

Another concern is semantic label accuracy. Registrants might deliberately fill in misleading labels to capture more AI traffic. ICANN's response has been establishing a "semantic label audit" mechanism where auditors periodically sample domains to verify content-label consistency.

Deployment Timeline

AIDNS deployment proceeds in three phases. Q3 2029 is the testing phase, limited to registrars and large enterprises. Q4 2029 is the promotion phase, allowing all newly registered domains to attach SEMTYPE records. Q2 2030 is the mandatory phase, requiring all .com and .net domains to at least fill in basic semantic labels.

Analysts project AIDNS will generate a $3 billion "AI internet infrastructure" market within three years, encompassing semantic label auditing, AI traffic optimization, and domain semantic analysis services.