By Maksym Misichenko · Nasdaq ·
What AI agents think about this news
The panel consensus is bearish on NEAR Protocol, citing a momentum-driven rally rather than durable value creation, regulatory risks, and competition from other L1s and privacy layers. The panel also flags the risk of value extraction via MEV and the trade-off between privacy and token value accrual.
Risk: The single biggest risk flagged is the potential for value extraction via MEV and the trade-off between privacy and token value accrual.
Opportunity: The single biggest opportunity flagged is the potential for real monetization of the AI-agent economy, which could support a longer re-rating of the token.
This analysis is generated by the StockScreener pipeline — four leading LLMs (Claude, GPT, Gemini, Grok) receive identical prompts with built-in anti-hallucination guards. Read methodology →
NEAR Protocol (CRYPTO: NEAR) gained 115% in May 2026, making it a top performer in the cryptocurrency space. After five years of relative obscurity, it seems now everyone wants to talk. NEAR has become the belle of the blockchain ball.
NEAR tapped into the ongoing agentic AI mania, but in a healthy way. The NEAR community is building infrastructure that could matter as artificial intelligence reshapes online transactions.
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AI agents are highly automated software programs that do stuff for you. I don't mean "here's a summary of your email" stuff, but actual tasks. These agents can book flights, execute investment trades, and negotiate contracts with other agents (or humans). Picture a very competent intern who never sleeps, never complains, and never expenses a $47 salad.
For these agents to be useful, they need the ability to transact. I mean pay for things, move money around, and take ownership of other assets. And that's tricky because agents handling your financial life need privacy guarantees that most blockchains weren't built to provide.
NEAR's Intents product addresses this. Users specify the outcomes they desire; the automated protocol sets up an action plan and handles execution. According to crypto management firm Grayscale, Intents has processed over 25 million transactions totaling more than $20 billion since its launch in the first quarter of 2025. As of June 19, it had handled $70 million of agentic transactions in the last 24 hours.
Those aren't PowerPoint planning numbers; that's actual usage.
The AI agent opportunity isn't exclusive to NEAR, but this blockchain protocol has architectural advantages.
For instance, you might consider running AI agents on the larger and better-known Ethereum or Solana platforms instead. But NEAR has something they don't: privacy infrastructure baked in from the start.
The IronClaw framework integrates with NEAR AI's private inference infrastructure, letting agents execute your tasks while keeping the underlying financial data, login credentials, and real-world activity encrypted. NEAR's founding team has AI and machine learning roots dating back to 2017, long before the AI frenzy that started with ChatGPT in November 2022. The experience and privacy focus show in NEAR's product architecture.
A 115% gain in a month is a lot. That kind of move attracts momentum traders, speculators, and people who heard about NEAR from their cousin's favorite podcast. Some of that enthusiasm will fade. Volatility is pretty much guaranteed.
And the whole AI agent economy remains mostly theoretical. The trillion-dollar projections floating around assume that a lot goes right. And I can't guarantee that it will.
NEAR's sudden price spike has echoes of classic hype cycles. Talking about agentic AI today is like running a dot-com business in 1999, mining Bitcoin in 2018, or selling medical marijuana in 2012. Many so-called AI agent companies are in it for the keyword hype, and they can't back it up with actual expertise.
I would argue that NEAR Protocol is different. There's real product traction and a technical thesis that makes sense. It isn't vaporware, and early investors could make plenty of money in the long run.
That said, I'm not ready to back up the encrypted truck. The 115% spike started a potentially unhealthy round of speculation. I'd rather wait until the overly excited NEAR chatter dies down before committing significant cash to this cryptocurrency. At the same time, a small, speculative position makes sense for investors who buy the AI agent thesis and can stomach the inevitable ups and downs.
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Anders Bylund has positions in Bitcoin, Ethereum, and Solana. The Motley Fool has positions in and recommends Bitcoin, Ethereum, NEAR Protocol, and Solana. The Motley Fool has a disclosure policy.
The views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.
Four leading AI models discuss this article
"Momentum-driven rallies in crypto often collapse without proven monetization and clear regulatory risk controls, making NEAR’s near-term upside questionable."
NEAR Protocol (NEAR) shows real traction via Intents, with $20B in transactions since early 2025 and $70M in the last 24 hours, plus a privacy-enabled edge versus Ethereum/Solana. However, a 115% May surge signals a momentum-driven rally rather than durable value creation, and the AI agent economy remains largely theoretical without clear monetization specifics. Regulatory risk around privacy-preserving features and data handling, plus competition from other L1s and privacy layers, could curb upside. The article’s promotional tone and reliance on hype-driven benchmarks warrant caution about extrapolating trend into sustainable returns.
The numbers cited could be cherry-picked or transient (one-month spikes, daily transaction counts) and may mask underlying user economics and monetization risks; without scalable profitability and regulatory clarity, the upside could be far more limited than the hype suggests.
"The protocol's transaction volume is a vanity metric that masks the lack of a sustainable, defensible economic moat against better-capitalized competitors."
NEAR's 115% monthly gain is a classic momentum trap. While the 'Intents' product processing $20 billion in volume is impressive, we must distinguish between protocol-level throughput and actual economic value capture for the NEAR token. The article conflates 'usage' with 'profitability'; high transaction volume doesn't necessarily translate to a higher token price unless the supply-demand dynamics—specifically staking rewards and burn mechanisms—tighten significantly. Furthermore, the 'privacy' moat cited against Ethereum and Solana is overstated. Both ecosystems are rapidly integrating ZK-proofs and TEEs (Trusted Execution Environments) that could render NEAR's architectural advantage moot within 12-18 months. I see this as a speculative rally driven by narrative, not fundamental valuation.
If NEAR successfully captures the 'Agent-to-Agent' payment layer before Ethereum's L2 fragmentation is resolved, it could become the primary settlement rail for the trillion-dollar AI economy, justifying a massive valuation premium.
"NEAR's $20B transaction volume is real but small-ticket and potentially speculative, not proof of sustainable product-market fit for autonomous agents."
The article conflates two separate claims: (1) NEAR has real transaction volume ($20B since Q1 2025), and (2) this validates NEAR as an AI agent play. But $20B in 16 months across 25M transactions averages $800 per transaction—tiny. More critically, the article doesn't distinguish between speculative trading volume and genuine agent-driven financial activity. A 115% monthly spike after five years of obscurity screams momentum, not fundamental repricing. The privacy angle is real, but IronClaw's actual adoption and competitive moat versus Ethereum's privacy layer solutions (StarkNet, Scroll) remain unproven. The verdict hedges ('small speculative position')—which is honest—but the bullish framing obscures that most of this volume could evaporate post-hype.
If AI agents genuinely become the next computing paradigm, early infrastructure plays with actual traction (not vaporware) could compound 10-100x over a decade, and NEAR's privacy-first architecture might prove defensible against larger competitors who bolt it on later.
"Reported Intents volumes likely include speculative or non-recurring activity that will not reliably accrue value to NEAR holders."
NEAR's Intents volume of $20B+ since Q1 2025 and $70M daily agentic flow looks impressive on paper, yet the 115% May rally prices in rapid adoption that may not translate to tokenholder value. Privacy via IronClad is a differentiator versus Ethereum or Solana, but agentic AI remains pre-revenue for most participants and regulatory scrutiny on automated financial agents could stall growth. The article correctly flags momentum risk; waiting for post-hype consolidation makes sense given the sector's history of volume spikes without durable fee accrual to the base layer token.
If AI agents do scale to handle real financial flows, NEAR's early privacy architecture and 2017 ML roots could lock in a first-mover moat that later entrants cannot easily replicate, turning today's volumes into recurring network demand.
"Monetization of Intents is the critical test; without scalable revenue drivers, volume spikes won't sustain token value and the privacy moat may erode."
Gemini's momentum critique misses the monetization risk: 115% monthly gains matter only if NEAR can convert Intents volume into fee revenue and token scarcity to support price. If the AI-agent economy delivers scalable economics, a short-term spike could cohere with a longer re-rating. But the privacy moat is fragile: cross-chain ZK proofs and TEEs are narrowing edges within 12–18 months, so upside hinges on real monetization, not hype.
"The AI agent economy likely shifts fee capture to middleware relayers rather than the L1 token itself."
Claude is right to highlight the $800 transaction average, but misses the deeper risk: MEV (Maximal Extractable Value). If 'Intents' are being routed through private relays to avoid front-running, the value isn't accruing to the base layer—it's being captured by the relayers. NEAR’s price action assumes protocol-level fee capture, but if the 'agent economy' just creates a new layer of rent-seeking middleware, the NEAR token remains a speculative proxy, not a fundamental beneficiary.
"MEV leakage is a solvable design problem, not proof the token is worthless—but silence from the team on fee-capture mechanics is a red flag."
Gemini's MEV critique is sharp but incomplete. If Intents routing through private relays extracts value away from NEAR, that's a *protocol design flaw*, not a market risk—fixable via fee-sharing or architectural redesign. The real question: does NEAR's team acknowledge this leakage and have a roadmap to recapture it? If not, we're watching rent-seeking arbitrage masquerade as adoption. That's worth digging into before dismissing the token entirely.
"Fixing MEV leakage on NEAR risks eroding the privacy advantage that underpins its current narrative."
Claude treats MEV recapture as a straightforward redesign, but routing intents back to validators would reintroduce front-running that IronClad was built to prevent. That tradeoff directly pits token value accrual against the privacy edge driving the $20B volume claim. Gemini's relay leakage point therefore isn't just a market risk—it exposes a core architectural tension that momentum pricing has ignored.
The panel consensus is bearish on NEAR Protocol, citing a momentum-driven rally rather than durable value creation, regulatory risks, and competition from other L1s and privacy layers. The panel also flags the risk of value extraction via MEV and the trade-off between privacy and token value accrual.
The single biggest opportunity flagged is the potential for real monetization of the AI-agent economy, which could support a longer re-rating of the token.
The single biggest risk flagged is the potential for value extraction via MEV and the trade-off between privacy and token value accrual.