NEAR Protocol (NEAR) Price Prediction

By CMC AI
07 September 2025 12:19AM (UTC+0)

TLDR

NEAR’s price faces a tug-of-war between AI innovation and macro uncertainty.

  1. AI Ecosystem Growth – NEAR’s AI agent infrastructure adoption could drive demand.

  2. Inflation Cut Impact – Reduced token issuance (5% → 2.5%) may curb sell pressure.

  3. Institutional Volatility – High-volume swings reflect conflicting large-player sentiment.


Deep Dive

1. AI Adoption & Chain Upgrades (Bullish Impact)

Overview: NEAR’s August 2025 upgrade introduced Shade Agents (on-chain AI) and Nightshade 2.0, enabling 10,000 TPS for AI dApps. Partnerships like IQ AI (IQ) integrate cross-chain AI agents, while NEAR Intents processed $570M+ swaps.
What this means: AI narrative traction could attract developer activity and institutional interest, similar to Bittensor’s 2025 surge. However, competition (e.g., TAO, FET) risks dilution if adoption lags.

2. Tokenomics Shift (Mixed Impact)

Overview: NEAR’s inflation rate halved to 2.5% in August 2025 via governance vote, reducing annual staking rewards from ~9% to ~4.5%. Validator incentives now rely more on transaction fees.
What this means: Lower inflation could boost scarcity long-term but risks validator attrition if fee revenue doesn’t offset reduced rewards. Historical precedent (Ethereum’s EIP-1559) suggests initial volatility before equilibrium.

3. Institutional Sentiment Swings (Bearish Risk)

Overview: NEAR saw $10.1M inflows post-U.S. 401(k) crypto approval (Bitget) but faced $20M+ sell-offs in August 2025 (CoinDesk).
What this means: High turnover (0.0275 ratio) exposes NEAR to liquidity-driven volatility. Resistance at $2.53–$2.73 remains a key test for sustained bullish momentum.


Conclusion

NEAR’s AI integration and deflationary shift create structural upside, but macro risks (Fed policy, BTC dominance at 57.8%) and validator economics pose near-term friction. Watch the $2.45 support and AI-driven TVL growth: Can NEAR’s 16M weekly users offset institutional profit-taking?

CMC AI can make mistakes. Not financial advice.