2 Cryptocurrencies Worth Buying Over AI Stocks Right Now
Source: Nasdaq

The article argues that Zcash and Solana offer less valuation-sensitive ways to gain exposure to multiyear crypto and AI-adoption trends than highly valued AI semiconductor stocks such as Arm, which traded at 120x forward earnings as of Sept. 18. Zcash demand is supported by a spot ETF with more than $500 million in assets and Cypherpunk Technologies' 323,394 ZEC holding, equal to 1.9% of circulating supply, with a stated goal of 5%. Solana hosted $448 million of tokenized stocks, captured 85%-95% of on-chain equity-trading volume in 2026, and its token rose 60% over three months; it has also processed more than 35 million x402 payments, though cumulative volume was only slightly above $10 million.
Analysis
The actionable signal is not a broad rotation from AI into crypto; it is a potential reflexivity trade in thin-float ZEC if treasury and fund vehicles continue absorbing liquid supply. That setup can produce outsized upside over weeks, but it is structurally fragile: a corporate holder that also mines the asset is exposed to a double drawdown in token price and mining economics, while any compliance-driven venue restriction can abruptly impair liquidity. CYPH should therefore trade at a substantial discount to marked net asset value, not a premium, until its custody, financing terms, realized mining margins, and liquidation constraints are independently verified.
SOL's tokenized-equity narrative matters only if it converts activity into durable fee revenue, validator economics, and demand for token collateral. High transaction counts with very small ticket sizes can demonstrate technical adoption without creating meaningful token value capture; the key 1-3 month catalyst is growth in settlement balances and institutional issuers rather than transaction volume. Competitive risk is material: Ethereum L2s, Coinbase-linked Base, and permissioned bank rails can capture regulated issuance even if Solana retains retail trading flow.
ARM remains vulnerable to duration risk because its valuation requires sustained royalty and licensing acceleration well beyond a normal semiconductor cycle. A modest reset in hyperscaler capex expectations or AI-server utilization would compress the multiple faster than earnings can offset it; however, shorting ARM solely against crypto longs is not clean because a risk-on liquidity impulse can lift both. The contrarian view is that privacy-asset scarcity is already being marketed aggressively while the regulatory discount remains underpriced, whereas SOL's AI-agent claim is too early to justify a standalone rerating.
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Overall Sentiment
moderately positive
Sentiment Score
0.46
Ticker Sentiment
Key Decisions for Investors
- Watch, do not initiate, ZEC until regulated-venue liquidity, fund flows, and the reported treasury entity's audited holdings/custody are verified. If confirmed, express through a 1-2% tactical spot allocation with a 25% hard stop; upside depends on continued net absorption and is not suitable as a core crypto position.
- Avoid CYPH at a premium to independently calculated NAV. Consider a short only if borrow is available and the equity trades more than 25% above NAV; cover on a disclosed capital raise, a sustained reduction in NAV premium below 10%, or a material increase in ZEC.
- Initiate a 3-6 month relative-value position long SOL versus ETH only after on-chain tokenized-asset balances and fee revenue both sustain sequential monthly growth above 20%. Size modestly; exit if Solana's share of tokenized-equity settlement falls below 70% or ETH/Base captures institutional issuance.
- Maintain ARM underweight versus SOXX over the next 1-3 months rather than an outright short. Add to the relative short on evidence of hyperscaler capex-guide reductions or royalty-growth deceleration; invalidate if ARM raises forward revenue expectations by more than 10% without further multiple expansion.
- Treat AI-agent payment activity as an alert, not a valuation catalyst: revisit SOL exposure only when payment dollar volume, not transaction count, reaches a scale sufficient to move annualized network fees materially.
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