Great breakdown of the AI crypto landscape. The Oracles sector at 30% makes sense given how critical reliable data feeds are for onchain AI execution. Do you see Decentralized AI Networks gaining more market share as model training becomes more localized?

The AI Market Has 10 Lanes.

Here's Who Owns Each One 👇

Oracles & Real-World Data (30%)

• LINK - Oracle data feeds CCIP
• TRAC - Decentralized knowledge graph
• ARKM - Onchain intelligence data

Decentralized AI Networks (15%)

• TAO - Subnet intelligence marketplace
• FET - Autonomous economic agents
• AGIX - Decentralized AI services

AI-Native L1s (15%)

• NEAR - User-owned AI chain
• ICP - Onchain AI compute
• 0G - Modular AI L1

Compute & GPU (6%)

• $RENDER - Decentralized GPU rendering
• AKT - Open compute marketplace
• ATH - Enterprise GPU cloud
• IO - Aggregated GPU network
• GLM - P2P computing power

AI Agents & Frameworks (3%)

• VIRTUAL - Agent launchpad ecosystem
• KAITO - AI-powered crypto intelligence
• AIXBT - Agent-driven market analysis
• ARC - Agent rig framework

Data Layer for AI (3%)

• GRT - Blockchain data indexing
• GRASS - AI scraping training data
• VANA - User-owned data networks
• OCEAN - AI data marketplace

Agentic Payments & Infra (3%)

• KITE - Agentic payment rails
• PIPPIN - Agent identity layer
• $SAHARA - Decentralized AI infrastructure

Decentralized Inference (2%)

• VVV - Private uncensored inference
• NOS - Community GPU inference
• RLC - Confidential compute marketplace

Storage & Permanence (1%)

• AR - Permanent onchain storage
• $THETA - Video AI storage CDN
• AO - Decentralized supercomputer

AI IP & Creative (1%)

• IP - Programmable IP layer
• HOLO - AI character creation
• CGPT - AI content generation

10 lanes. One map.
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