Bitwise CIO and Sovereign CEO Say NEAR Is Entering Next Phase of Value Accrual

Bitwise Validates $NEAR Investment Thesis Following ETP Debut on NYSE Arca

Traditional asset managers are increasingly evaluating Layer-1 blockchain protocols through the lens of concrete financial metrics and operational utility rather than speculative hype. Following the launch of Bitwise’s spot $NEAR exchange-traded product (ticker: NRR) on NYSE Arca, Bitwise Chief Investment Officer Matt Hougan explained that NEAR Protocol offers measurable economic fundamentals that justify its valuation today. Rather than relying entirely on expansive artificial intelligence roadmaps, Hougan underscored that existing platform activity presents a compelling standalone investment framework.

According to Hougan, active usage and direct revenue derived from NEAR’s Intents infrastructure, combined with its established cross-chain capabilities, supply tangible proof of immediate product-market fit. The platform’s forward-looking artificial intelligence roadmap can subsequently be appraised as an incremental bonus rather than an existential requirement. “You can invest in $NEAR exclusively on that basis and justify the valuation,” Hougan said, noting that allocators effectively receive the longer-term AI vision as a secondary layer atop an already substantiated core investment case.

Monetization and Supply-Side Shifts Reshape Token Economics

The structured offering launched by Bitwise integrates in-house staking operations configured to deliver rewards directly to shareholders through net asset value (NAV). Hougan disclosed that Bitwise tracked NEAR for an extended timeframe, evaluating the network as an asset with a plausible long-term function within institutional crypto portfolios. For a significant period, broader capital markets categorized NEAR as a speculative AI moonshot; however, measurable adoption across Intents has grounded the narrative in clear financial parameters.

Parallel to demand-side adoption, structural shifts are re-engineering the supply side of NEAR’s token model. Market analyst Ternullo highlighted that NEAR previously implemented a programmatic reduction in protocol inflation, lowering issuance from 5% to 2.5%. Once Intents achieved critical operational scale and partner integration, the network initiated monetization protocols, directing an allocation of generated revenue into open-market $NEAR buybacks.

The network is progressing further along this deflationary path. Ternullo indicated that a newly introduced governance proposal outlines an additional reduction in protocol issuance, charting a course to step down inflation from 2.5% to 1.6% across a two-year timeline. This supply-tightening mechanism seeks to reconcile expanding network demand with reduced token emissions, systematically reinforcing the digital asset’s purchasing power and relative performance against standard benchmarks, including the U.S. dollar and Bitcoin.

Value Accrual and the AI Narrative Convergence

Ternullo referenced decentralized derivatives platform Hyperliquid as a prominent example influencing this pivot toward tangible token value capture, pointing out that its operational trajectory demonstrated the market appetite for sustained shareholder-style distributions in decentralized networks. This development mirrors a wider institutional rotation across digital assets, where capital allocators prioritize verifiable cash flows and token burn mechanisms over speculative liquidity cycles.

Hougan highlighted that this convergence positions the protocol advantageously within an evolving market landscape that rewards durable unit economics. “There’s product market fit and there’s also narrative market fit,” Hougan said. “And I think when you combine those two, you can get really significant outsized move.”

Looking ahead, Ternullo noted that NEAR’s upcoming trajectory will hinge on whether its AI initiatives can replicate the operational adoption seen in its Intents architecture. If AI services demonstrate independent product-market fit and scale transaction volume, they could ultimately support an AI-specific protocol fee switch, which Ternullo characterized as a primary catalyst for NEAR’s next repricing event.

Why This Matters

The listing of Bitwise’s NRR product on NYSE Arca marks an important benchmark in the maturation of crypto investment vehicles by embedding native staking rewards directly into regulated financial instruments. For the broader industry, NEAR’s dual focus on reducing token dilution—via lower inflation targets and protocol buybacks—alongside monetization mechanisms mirrors traditional corporate capital allocation strategies. If protocols successfully tie operational revenue from both transactional intents and emerging artificial intelligence applications directly to tokenholder value accrual, it could establish a repeatable model for how institutional investors appraise Web3 infrastructure.

Frequently Asked Questions

What is Bitwise NRR?

Bitwise NRR is a spot $NEAR exchange-traded product listed on the NYSE Arca. The investment vehicle provides exposure to the underlying $NEAR asset and incorporates in-house network staking, directing protocol rewards to shareholders through the fund’s net asset value.

How does NEAR Protocol accrue value to its native token?

NEAR Protocol captures value through generated usage fees from its Intents infrastructure, which are partially allocated toward purchasing $NEAR on the market. Additionally, governance measures have historically lowered issuance from 5% to 2.5%, with an active proposal outlining a further drop to 1.6% over two years.

What role does artificial intelligence play in NEAR’s investment thesis?

While NEAR continues developing AI initiatives, investment managers like Bitwise’s Matt Hougan view current valuation as already justifiable through existing product-market fit in cross-chain transactions and Intents. The network’s AI deployment serves as potential upside, with future token appreciation potentially tied to the implementation of an AI protocol fee switch once those services scale.