HomeCrypto NewsNEAR, ICP, Render Outpace Bitcoin as AI Tokens

NEAR, ICP, Render Outpace Bitcoin as AI Tokens

Posted: 2 June 2026, 20:33 CET 2 min read

Bitcoin slipped below $70,000 while NEAR rose 16% to $2.69, ICP gained 10.4% to $3.09 and Render climbed 10% to $2.22 as AI-focused tokens advanced.

Bitcoin fell below $70,000, down about 12% over the previous two weeks, while NEAR Protocol, Internet Computer (ICP) and Render posted double-digit gains in the same period. NEAR rose roughly 16% to $2.69, ICP increased about 10.4% to $3.09 and Render gained about 10% to $2.22.

NEAR’s market value reached roughly $3.48 billion, placing the token near the 32nd largest by market capitalization. ICP’s market capitalization moved to about $1.66 billion, near 52nd, and Render’s market cap approached $1.14 billion, around 66th.

NEAR markets itself as a blockchain for AI and focuses on user-owned intelligent agents and intent-based interactions. The protocol uses a sharded design aimed at higher throughput and lower costs. On X, NEAR co-founder Illia Polosukhin wrote, “NEAR is shipping post quantum crypto end of Q2 to make sure everyone has time to upgrade,” referring to a planned rollout of post-quantum cryptography.

Internet Computer positions itself as a sovereign cloud for on-chain AI workloads. On-chain data show approximately 97,000 ICP were burned over the past 30 days, the highest monthly burn since 2025, and the network processed about 7.2 billion transactions in May.

Render operates a decentralized GPU network that links idle graphics processing capacity with users needing compute for 3D rendering and AI training. Analyst TehLamboX reported a secondary breakout above $2.40 for Render and flagged potential targets near $2.50.

Market participants described NEAR, ICP and Render as tokens tied to decentralized AI infrastructure that provide compute, storage or on-chain agent layers. Trading over the recent weeks diverged from Bitcoin’s pattern: while many assets fell with Bitcoin, these three tokens posted positive returns alongside measurable usage metrics on their networks.

Analysts and developers are monitoring whether AI integrations and security upgrades move from testing into broader production and whether on-chain activity and transaction volumes sustain the current price differentials.