Crypto, AI Agents, And The Next Big Cycle w/ Ran Neuner | Raoul Pal The Journey Man
Ran Neuner argues that crypto is moving beyond speculative cycles toward practical uses, including on-chain tokenization, social trading, and agent-driven transactions. He sees altcoins leading the next bull market and emphasizes protocol revenue, token scarcity, liquidity, and supply available to trade when assessing value. The speakers also discuss crypto’s volatility, while Neuner expects an agentic economy to emerge around 2027–2029.
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Ran Neuner argues that crypto has found product-market fit in tokenization, with stocks, bonds, and commodities moving on-chain and using existing block-space capacity. He connects that infrastructure to an agent-driven future, predicting continuous on-chain markets and citing projections of roughly 1 billion transacting agents by 2028–2029 and about 217 billion daily transactions.
Neuner sees the AI buildout—including data centers, chips, and energy infrastructure funded by the Nasdaq’s AI-related rally—as potentially supporting agents that transact through crypto protocols. He expects the agentic economy around 2027–2029 and argues that very low fees could still produce substantial revenue at sufficiently high transaction volumes.
Neuner argues that ETH/BTC’s breakout after nine years and smaller altcoins’ upward trend against Bitcoin indicate stronger use cases beyond Bitcoin’s store-of-value role; he contrasts this with the ICO and DeFi rallies, which he says lacked lasting use cases. His thesis is that altcoins will lead this bull market, while the earlier 9x and roughly 6x altcoin rallies are historical comparisons, not a forecast of repeated returns.
Neuner says crypto’s bull-market case should rest on actual protocol use and revenue, not price gains alone: he cites daily revenue of $1 million–$5 million for Pump Fun and roughly $3 million–$5 million for Hyperliquid. He contrasts that standard with the 2017 and 2021 cycles, which he characterizes as driven by promises rather than established use cases.
Neuner argues that network growth does not necessarily create token value unless supply is scarce, and that fully diluted valuation can obscure the supply actually available to trade. His screening approach therefore considers tradable supply, scheduled emissions, staking, buyback pressure, and user growth relative to available liquidity.
TECHNOLOGY
“I think the use case that's actually exciting is the first breakout here and that is the tokenization of everything. So yeah, everything is getting tokenized…”—
“So what has crypto created? It's created a world where you can trade almost anything…”—
“I said all asset markets will be 24/7 365. All markets will be settled immediately on chain. Humans won't be trading them…”—
MARKETS
“And then you kind of look at this and you say 9 years later, 9 years after the first use case of blockchain was created other other than smart money…”—
“So, others the top old coins excluding the top 10. So this is a smaller altcoins against BTC again…”—
“If you look at that cycle, what the altcoins did against Bitcoin was a 9x return against Bitcoin…”—
FORECASTS
“So my thesis is that crypto has been in a bare market…”—
“You know, you had 2017 bull market, then you had a long bare market, then you had 2021, you had the bull market, then you had a bare market, and…”—
Crypto’s First Real Bull Market?
Neuner says crypto may be entering its first genuine bull market, with the cycle backed by real product-market fit rather than promises alone.
Ran Neuner on Crypto, Markets, and AI
Pal and Neuner discuss the emotional strain of public market commentary and how research, conviction, and AI now inform Neuner’s daily crypto work.
How AI Is Changing Crypto Research
Neuner says AI tools help his research team identify investment opportunities, citing an AI-assisted analysis of Arbitrum’s revenue share from Robinhood Chain.
Why This Could Be Crypto’s First Real Bull Market
Neuner distinguishes earlier speculative rallies from a true bull market, arguing that crypto is only now developing durable use cases and revenues.
Ethereum vs Bitcoin: The Breakout That Matters
Neuner reads the ETH/BTC chart as evidence that smart-contract use cases may finally be breaking out after earlier ICO and DeFi cycles failed to sustain adoption.
Why Altcoins Could Lead the Next Crypto Cycle
Neuner expects altcoins to lead, pointing to improving relative trends and potential multi-fold gains as crypto applications mature.
Tokenization and Crypto’s Real Product-Market Fit
He identifies tokenizing stocks, bonds, commodities, and other assets as one emerging use case, while arguing crypto’s broader product-market fit is still unfolding.
Crypto’s Biggest Use Case: Trading Meets Social Media
Neuner describes on-chain trading as a blend of casino-style reward and social-media validation, with visible P&L and trading activity creating an unusually engaging social product.
Is Social Trading the Future of Markets?
The speakers consider social trading’s appeal and risks; Neuner expects transparent, always-on markets to make much human trading social and more addictive.
The AI Agent Economy Could Change Everything
Neuner sees agent-to-agent transactions as a major future source of crypto demand, with a large machine economy potentially creating enormous transaction volumes.
Why AI Agents May Need Blockchain Rails
Neuner argues autonomous agents need programmable, trustless, immediate settlement, making blockchain rails a strong candidate for machine payments.
BlackRock, Machine Payments, and Crypto Infrastructure
A BlackRock report’s discussion of agentic AI and machine payments reinforces Neuner’s view that blockchain rails could serve always-on, low-value transactions.
Why Crypto Protocols Are Finally Making Real Money
Neuner defines a real bull market by usage and protocol revenue, citing Pump.fun and Hyperliquid as examples earning substantial fees despite weak market conditions.
How Ran Finds Undervalued Crypto Tokens
Neuner assesses tokens through network effects, growth, revenue, scarcity, and whether fees can flow back to holders; he highlights tokenized Pokémon cards as an example.
The Biggest Mistake Investors Make Valuing Tokens
He warns that fully diluted valuation can mislead because only some tokens trade; staking, emissions schedules, and buybacks shape available supply and price pressure.
Ethereum, Solana, Sui, and the Layer 1 Race
Neuner says Bitcoin, Ethereum, and Solana have established roles, while agent-focused and traditional-finance Layer 1 races remain open; he questions how chains capture value.
Inside Ran Neuner’s Crypto Portfolio
Neuner describes holding Bitcoin and Layer 1 positions alongside selective application bets, including Zcash and trading platforms, and explains how his portfolio is allocated.
Why Ran Is Still Bullish on Zcash
Neuner remains bullish on Zcash because its culture and scarcity thesis remind him of early Bitcoin, while newer technology addresses concerns about verifying shielded supply.
Why Trading Platforms Could Be the Biggest Winners
Neuner favors trading platforms because crypto makes digital value tradable, and he expects the venues facilitating high-volume, leveraged trading to capture significant value.
The Overlooked Blockchain Use Case: Time
The speakers discuss blockchain time as an underused capability, proposing block-based timestamps and potentially a shared time oracle for cross-chain transactions.
How Ran Uses AI Agents to Find Crypto Trades
Neuner explains how AI agents automate research, content production, token valuation, and wallet monitoring, while noting that fully automated trading has not yet worked well for his team.
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Not Investment Advice: For education only — not financial, tax or legal advice.
AI-Generated: Made by AI from source transcripts and may contain errors.
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