• Consider NEAR as a higher-risk, AI-and-crypto infrastructure investment; track sustained user activity, Intents fee revenue, token buybacks, and whether the proposed inflation reduction from 2.5% to 1.6% is approved.
• NRR offers a simpler route to NEAR exposure with staking, but early ETF interest does not guarantee future returns.
• Treat NEAR’s buybacks as supportive but not equivalent to token burns, and size any crypto position for the possibility of substantial losses.

NEAR Protocol (NEAR) and Bitwise ETF (NRR)

• The discussion was strongly bullish on NEAR, citing its combination of blockchain activity, AI-related products, and growing investor access through Bitwise’s NRR ETF.
• One guest had previously said NEAR looked 2–4x undervalued based on human usage when the token was around $1.30. The host said it had since traded near $5 and reached $5.50. This was a past valuation view, not a current price target.
• Bitwise described a long-standing role in the NEAR ecosystem, including research, staking as a validator, and operating infrastructure used by NEAR Intents.
• The speakers characterized NRR’s early trading as strong, but the transcript gives inconsistent figures for initial inflows. They said the ETF provides investors with a way to gain NEAR exposure and handles staking on their behalf.
• NEAR Intents lets users specify an outcome—such as swapping assets—and has processed more than $32 billion in volume, according to the discussion. The product is expanding to include swaps involving tokenized equities.
• Fees from NEAR Intents generate revenue for the protocol. That revenue is being used to buy back NEAR tokens, which are held rather than currently burned. The speakers said the community could decide later how those tokens are used.
• A proposal discussed in NEAR governance would gradually reduce token inflation from 2.5% to 1.6%. A possible fixed supply was raised as a question for future research, not as an adopted policy.
• The broader investment thesis connects NEAR to AI applications focused on privacy, user control, and coordination among multiple models and blockchains. The guests argued that AI and crypto may become more fragmented, creating a role for tools that connect different models, networks, and assets.

Takeaways

• For investors evaluating NEAR, the discussion points to usage, fee generation, buybacks, token inflation, and AI product adoption as areas to monitor—not just the token price or ETF demand.
• NRR may offer a simpler route to NEAR exposure, including staking, but the speakers’ enthusiasm and early-launch commentary do not establish future performance.
• The tokenomics remain subject to change: buybacks are not burns, and both the future use of accumulated tokens and any further supply changes depend on community decisions.
• The thesis is closely linked to NEAR’s AI opportunity; weaker adoption of its AI and privacy products could weaken that part of the case.
• The podcast closed with a general warning that crypto is risky and investors can lose what they put in.

Bitcoin (BTC)

• Bitcoin was presented as the crypto asset that mainstream investors have become more comfortable with.
• The speakers suggested that some investors are now looking beyond Bitcoin for additional crypto exposure.
• Bitcoin was also used as a comparison for a different kind of project: one guest described building “digital gold” as distinct from NEAR’s technology and AI-focused ambitions.

Takeaways

• The discussion framed Bitcoin as a more established reference point for crypto exposure, while NEAR was presented as a higher-growth, technology-focused alternative. No Bitcoin price target or specific recommendation was given.

Ethereum (ETH)

• Ethereum was mentioned as a comparison for Bitwise’s experience operating staking infrastructure.
• The conversation did not offer a specific view on Ethereum’s price or investment outlook.

Takeaways

• Ethereum’s role here was mainly contextual: the guests used staking operations to explain how an asset manager can participate in a blockchain ecosystem. No Ethereum-specific investment recommendation was made.

Hyperliquid (HYPE)

• Hyperliquid was referenced as an example of an ecosystem where token buybacks may be burned.
• The guests contrasted that approach with NEAR’s current practice of buying back tokens and holding them rather than burning them.
• A Hyperliquid ETF was also cited as an example of an ETF launch that attracted interest despite a broadly weak market.

Takeaways

• The comparison highlights that buybacks and burns are different mechanisms. Investors considering NEAR should not treat its current buybacks as an automatic reduction in token supply.

Ondo (ONDO) and Tokenized Equities

• The discussion said NEAR Intents had added support for swapping between digital assets and tokenized equity products, mentioning Ondo and approximately 400 tokenized equity products.
• These products were presented as part of NEAR Intents’ expanding functionality, not as a separate investment recommendation for Ondo or any particular tokenized stock.

Takeaways

• The investment relevance discussed was the potential for broader asset support to increase NEAR Intents’ usefulness and activity. The podcast did not provide a specific view on ONDO’s valuation or the risks of individual tokenized equities.

AI, Privacy, and Cross-Chain Infrastructure

• The guests argued that demand for AI is creating an investment narrative for NEAR, especially around private AI use, user control, and connecting different models and blockchains.
• NEAR AI was described as supporting open-source models with privacy assurances, while NEAR Intents aims to help people and software agents move assets across networks.
• The speakers viewed a future with multiple AI models and multiple blockchains as more likely than one model or one chain dominating everything.

Takeaways

• The broader theme is infrastructure for a fragmented AI and crypto landscape. For NEAR, the key question is whether its products gain sustained users and generate meaningful revenue; the discussion did not establish that outcome as certain.