PodcastThe RollupMatt Hougan

Matt Hougan & Sal Ternullo: NEAR Is One Of The Best Positioned Assets In Crypto

Matt Hougan frames NEAR’s Intents economics, existing usage, and AI vision as parts of its investment case, while speakers also discuss private inference, buybacks, and a proposed reduction in inflation. Hougan sees a differentiated crypto bull market and expects significant Q4 ETF inflows, while arguing that NEAR could have further upside. Other discussion addresses stablecoin demand for short-term Treasuries and the operational and liquidity challenges of 24/7 markets.

AltcoinsCrypto MarketsArtificial IntelligenceStablecoinsFixed IncomeMarket Liquidity

Preview · 13 more points in the app

Read the Full Summary

Key Takeaways

NEAR’s investment case combines Intents’ existing product-market fit, revenue, and usage with its private-inference product, which lets clients verify that operators cannot see prompts or outputs; a speaker also said token consumption surged after the product went live on Open Router, without giving usage figures. Matt Hougan argues that growth in Intents economics offers a more readily priced case, while NEAR’s AI vision adds optionality and could support an outsized move.

NEAR’s token-economics discussion spans existing programmatic buybacks tied to Intents, a proposed reduction in inflation from 2.5% to 1.6% over two years, and the possibility of a separate AI fee switch once the project reaches sufficient scale. Matt Hougan says projects may improve token economics when markets reward value delivered to tokenholders, citing Hyperliquid as an inspiration; the proposed inflation change is framed around both supply and demand.

Matt Hougan says NEAR’s roughly 100% rise can make it easier to pitch to traditional investors looking for projects that could reach the top five and valuations in the tens or hundreds of billions. He describes the gain as a down payment if his and Sal’s thesis is right, while also arguing that NEAR’s product-market fit and narrative-market fit could combine for a significant outsized move.

TECHNOLOGY

Private Inference — A speaker says NEAR’s private inference product lets third-party clients verify that operators cannot see prompts or outputs from interactions with open models. Token consumption surged after the product went live on Open Router, the speaker says, but provided no usage figures.

“Near's private inference product is the only solution in the market today where a third party client can actually verify that no operator can see or have any telemetry data…”—

ECONOMY

Stablecoin Treasury Demand — Matt Hougan says stablecoins could ultimately fill a gap if China does not buy U.S. Treasuries, though the pace will depend on regulatory capture. The host describes a shift toward more short-end Treasury issuance and reliance on stablecoin issuers to buy those bills.

“Just the other day, the San Francisco Fed put out a chart about stable coins filling the gap left by China not buying our treasuries…”—

MARKETS

NEAR Investment Case — Matt Hougan argues that growth in NEAR’s intent economics gives investors a more readily priced investment case. Its long-term AI vision adds optionality, he says.

“I think for a long time people were thinking about Near as this moonshot on the AI side and they were having difficulty pricing that…”—

NEAR Rally — Matt Hougan says NEAR’s roughly 100% rise may make it easier to pitch to traditional investors looking for projects that could reach the top five and market capitalizations in the tens or hundreds of billions. If his and Sal’s thesis is right, he says, that gain would be a down payment.

“If the if the sort of concept we're making is traditional investors looking down the market cap stack to find the most interesting projects that could leap into the top…”—

Crypto Dispersion — Matt Hougan cites about 130% dispersion between the best- and worst-performing top 20 crypto assets over the prior 30 days. He says the divergence reflects explainable, asset-specific results rather than a broad rally, describing the market as a differentiated bull market with winners and losers.

“If you look at something like the last 30 days, there's about 130% dispersion between the best and worst performing of the top 20 crypto assets…”—

FORECASTS

Q4 ETF Inflows — Matt Hougan predicts significant crypto ETF inflows across the spectrum in Q4 as traditional investors begin allocating to crypto. He says retail interest tends to come first and expects wealth advisors at large wirehouses to provide the next upward push in capital.

“Crypto has this sort of echo wave of interest which is the first interest is never institutional capital. It's always sort of retail capital responding…”—

NEAR Upside — Matt Hougan argues that NEAR’s product-market fit and narrative-market fit could combine to produce a significant, outsized move. He says NEAR is well positioned for that possibility.

“So, a part of the reason I'm so excited is there's product market fit and there's also narrative market fit…”—

Intro

Sal and Matt say NEAR's recent repricing reflects real Intents revenue and product-market fit, with AI and agentic infrastructure offering an additional long-term source of upside.

NEAR Intents Revenue Finally Repriced

Sal says NEAR’s Intents adoption and revenue growth had made the asset look mispriced, and Matt argues the market is now recognizing those economics alongside NEAR’s AI potential.

Bitwise Was Eyeing NEAR For A While

Matt says Bitwise selects assets for durable fundamentals and communities, and had pursued a U.S. NEAR product after launching a European ETP.

Bitwise Brings NEAR To Every Brokerage

The speakers describe NEAR’s AI thesis as privacy-preserving, verifiable infrastructure for open models; Sal points to private inference usage growth and Matt sees rising narrative and product-market fit.

Staking Yield Accrues To Shareholders Automatically

Matt pitches NEAR to traditional investors through observable Intents usage and revenue, with AI as additional long-term optionality; Sal adds that NEAR’s consumer app can demonstrate these capabilities.

Not All Digital Assets Are Created Equal

Matt argues a recent price increase can make NEAR easier to explain to investors, who can compare its valuation with the potential scale of its future market.

NEAR Is The AI Call Option Thesis

Matt sees crypto in a new bull-market cycle, with improved regulation, revenue, tokenization, and AI supporting growth, and expects meaningful ETF inflows in Q4.

Sovereign And Bitwise Are Not Competing

The speakers welcome a more selective market where asset-specific fundamentals drive performance, and Matt says token-holder-friendly economics can encourage other projects to improve.

Institutional Demand Is Just Beginning

Sal describes NEAR’s shift from 5% to 2.5% inflation, Intents buybacks, and a proposed reduction to 1.6%; the speakers emphasize long-term value accrual over any single buyback design.

24/7 Markets Need Agentic Infrastructure

Sal sees virtual cards as a likely payment-company strategy that may use stablecoins behind the scenes, while Matt argues they do not undermine stablecoins’ broader market potential.

Banks Cannot Staff Saturday Night Risk

The speakers say 24/7 tokenized markets could improve access and liquidity, but warn that leverage and low-liquidity periods may create sharper market shocks.

Agents Will Monitor When Humans Sleep

Sal notes traditional institutions lack round-the-clock staffing and risk processes; the speakers argue agents may eventually monitor and act in markets while people sleep.

Related Episodes

Important Disclaimers

Not Investment Advice: For education only — not financial, tax or legal advice.

AI-Generated: Made by AI from source transcripts and may contain errors.

No Guarantees: Past performance does not predict future results; investing carries risk.

Our Commentary · Request Removal