NEAR Protocol was co-founded by Illia Polosukhin and Alexander Skidanov in 2020. Polosukhin is a former Google AI researcher and one of the co-authors of the original Transformer paper — the foundational architecture behind modern large language models including GPT. This AI pedigree is genuinely significant — NEAR's founder literally helped create the technology that underpins ChatGPT. NEAR has raised over $500 million from investors including a16z, Coinbase Ventures, and Tiger Global. The NEAR Foundation supports ecosystem development.
NEAR is a sharded proof-of-stake blockchain designed for high throughput and developer accessibility. Its key technology is Nightshade sharding — splitting the blockchain into parallel shards to increase transaction capacity. In 2024-2026, NEAR has pivoted toward AI integration and chain abstraction — the ability to interact with any blockchain from a single account without managing multiple wallets or bridges. Polosukhin has been vocal about NEAR's mission to become the chain where AI agents operate and settle transactions, leveraging his AI research background as a narrative differentiator.
NEAR has approximately 1.2 billion tokens in circulation. NEAR peaked at approximately $20.44 in January 2022 and currently trades around $1.31 — approximately 93-96% below its all-time high. This is one of the steepest percentage declines from peak among credibly-funded Layer 1 blockchains. Despite the price decline, NEAR's developer activity and ecosystem partnerships have continued to develop.
NEAR competes in an extremely competitive Layer 1 market against Ethereum, Solana, Avalanche, and Sui. Its chain abstraction differentiator is interesting but has not yet driven the user adoption growth that would justify a significant market cap recovery. The AI narrative is compelling given Polosukhin's background but remains largely aspirational at the protocol level.
A 93-96% decline from all-time high is severe even by crypto standards. NEAR's sharding advantage has been partly commoditised by Ethereum's Layer 2 ecosystem, which achieves parallel processing through a different architecture. The AI agent use case, while conceptually interesting, has not yet produced measurable on-chain activity that directly drives NEAR token demand. Developer adoption metrics trail Ethereum, Solana, and increasingly Sui.
AI agent settlement becomes a real use case that specifically requires NEAR's chain abstraction, Polosukhin's AI research background attracts major AI companies to build on NEAR, or a broad Layer 1 bull market re-rates NEAR from its extreme discount to ATH.
AI agent blockchain activity concentrates on Ethereum or Solana rather than NEAR, chain abstraction fails to drive meaningful adoption, or NEAR continues to lose developer mindshare to faster-growing ecosystems.
We would become more positive if: chain abstraction shows measurable adoption with growing cross-chain transaction volume through NEAR, a major AI company publicly chooses NEAR for agent infrastructure, or TVL and active user metrics show sustained improvement. We would become more cautious if: developer activity metrics continue declining relative to competitors, or the AI narrative fails to translate into demonstrable on-chain demand.
NEAR has one of the most genuinely impressive founding credentials in all of Layer 1 crypto — Illia Polosukhin co-wrote the Transformer paper that created the architecture behind modern AI. This AI pedigree gives NEAR a unique narrative. But the 93-96% decline from ATH despite this credibility reflects a genuine adoption challenge in an extremely competitive Layer 1 market. The chain abstraction and AI agent thesis needs demonstrable on-chain activity to justify a significant position.
Founder credential: NEAR co-founder Illia Polosukhin is a co-author of the original "Attention Is All You Need" paper (2017) — the foundational AI research that created the Transformer architecture behind GPT, Gemini, and all modern large language models. This is a genuinely exceptional technical pedigree for a crypto founder.