BlackRock Creates Tokenized Asset Fund, SEC Filing Shows

CoinDeskPolicyPublicado a 2024-03-18Actualizado a 2024-03-19

Resumen

The fund was seeded with $100 million in USDC stablecoin using the Ethereum network, blockchain data shows.

Investment management giant BlackRock (BLK) has created a tokenized asset fund, according to a document filed to the U.S. Securities and Exchange Commission (SEC).

The BlackRock USD Institutional Digital Liquidity Fund was incorporated on the British Virgin Islands and will be launched in partnership with tokenization firm Securitize.

Blockchain data shows that the fund was seeded with $100 million in Circle's USDC stablecoin using the Ethereum network.

Advertisement
Advertisement

The move follows BlackRock's foray into digital asset fund after listing a spot-based bitcoin (BTC) exchange-traded fund (ETF) in January, which amassed over $15 billion of assets under management. The company also filed for a spot ether (ETH) ETF last year.

BlackRock CEO Larry Fink said in a January interview with CNBC that BTC and ETH ETFs "are just stepping stones towards tokenization and I really do believe this is where we're going to be going."

The fund also represents a significant milestone for tokenization of real-world assets, a growing sector in the intersection of digital assets and traditional finance that comprises of placing traditional assets on blockchain rails in pursuit of faster settlements and increased efficiency.

Tokenized RWA platform Ondo Finance's native token ONDO jumped as much as 20% on the news, and is up 12% over the past 24 hours outperforming the broad-market CoinDesk 20 Index (CD20) and bitcoin (BTC).

Lecturas Relacionadas

Who Makes the Best Use of Claude Code? The Answer Might Not Be Programmers

Claude Code Usage Report Summary (Based on ~400k sessions) Core Finding: In agentic programming with Claude Code, a clear division of labor has emerged: humans primarily decide *what* to build (planning decisions), while Claude decides *how* to build it (execution decisions). Key Insights: 1. **Effectiveness is not limited to programmers.** In code-generation tasks, success rates for users in non-technical fields (law, finance, management, research) are nearing those of software engineers. What matters most is the user's domain expertise and understanding of the problem to be solved. 2. **Domain expertise drives success and efficiency.** Sessions where users exhibited "expert" proficiency in the task's domain saw verified success rates double compared to "novice" sessions. Experts also delegated more work per instruction, with Claude executing more actions and producing more output. 3. **AI is amplifying, not replacing, domain knowledge.** Claude Code lowers the *implementation* barrier, not the *judgment* barrier. The value of knowing the "what" and "why" is increasing relative to just knowing the "how" to code. 4. **Usage is evolving.** Over a 7-month period (Oct '25 - Apr '26), the share of sessions for debugging halved, while use for software operations, data analysis, and non-code writing roughly doubled. The estimated economic value of typical tasks increased by ~25%. Conclusion: The data suggests coding agents are making programming background less critical for completing technical tasks. However, they reward and amplify deep domain understanding. The ability to successfully direct an AI agent stems more from mastery of a specific field than from coding skill itself. The primary gains come from being competent in a domain; deep specialization adds only marginal additional advantage. This may signal a shift where software creation becomes integrated into various professions.

marsbitHace 11 min(s)

Who Makes the Best Use of Claude Code? The Answer Might Not Be Programmers

marsbitHace 11 min(s)

Trading

Spot
Futuros
活动图片