TOKENIZED STOCK-2-THE AI GOLD RUSH -Democratizing the AI Economy | CryptoEdy
PROTokenized Stocks
TOKENIZED STOCK-2-THE AI GOLD RUSH -Democratizing the AI Economy
CE
Lead Analyst
Apr 8, 20269 min read
Tokenized U.S. Stocks and the AI Gold Rush: Investing in the Infrastructure Powering the Next Economic Super cycle.
Tokenized U.S. Stocks and the AI Gold Rush: Investing in the Infrastructure Powering the Next Economic Super cycle:
The AI gold rush is accelerating as tokenized U.S. stocks connect crypto liquidity with the infrastructure powering the artificial intelligence economy. For decades, investing in companies such as Nvidia, Microsoft, and Apple required brokerage accounts, market-hour access, settlement systems, and geographic eligibility—barriers that excluded many global investors. That divide is now narrowing as NYSE- and NASDAQ-listed equities become available as blockchain-based assets across major crypto platforms, including Binance, Coinbase, Uniswap, BingX, Gate, Kraken, Bitget, KuCoin, Bybit, OKX, LBank, MEXC, and Bitunix.
Since March 2026, daily trading volume for tokenized stocks on crypto exchanges has reportedly reached $15 billion–$20 billion, highlighting the potential for a major shift in how investors access U.S. equities. However, the opportunity extends beyond tokenized shares: Our Team examines the companies building the AI economy across a seven-layer ecosystem that includes AI models and cloud infrastructure; GPUs, CPUs, and advanced chips; memory and storage; networking and optical systems; servers and data centers; power, energy, nuclear, and grid infrastructure; cooling and electrical equipment; and services, software, and cybersecurity.
These companies will be assessed across four market-cap categories: mega-cap companies above $200 billion, large-cap companies from $20 billion to $200 billion, mid-cap companies from $2 billion to $20 billion, and small-cap companies below $2 billion. The central thesis is clear: the AI revolution will not be driven solely by companies developing the most advanced models; it will also depend on the suppliers of the essential “picks and shovels,” including HBM memory, semiconductors, optical networking, data centers, electricity, nuclear power, cooling systems, cybersecurity, and AI software. As global AI capacity expands, these infrastructure layers could become critical bottlenecks—and potentially some of the decade’s most compelling sources of multifold returns.
GOLD RUSH IN AI-ECONOMY
AI-ECONOMY
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