Daily News 19

Tag: BlackRock

  • AI Agents Choose Ripple USD Over XRP as BlackRock Issues Major Prediction

    AI Agents Choose Ripple USD Over XRP as BlackRock Issues Major Prediction

    Key Highlights

    • Autonomous AI agents on the XRP Ledger are settling transactions predominantly with Ripple USD stablecoin rather than native XRP, according to XRPL AI Hub on-chain data.
    • BlackRock’s “The Machine-Native Economy” research note identifies the $300 billion stablecoin market—with $11.6 trillion in annual transaction volume—as the foundational unit of account for AI-driven micropayments.
    • Algorithmic budgeting requirements favor dollar-pegged assets: even hourly XRP volatility of a few percent can break an autonomous task’s financial model, while Ripple USD enables precise cost forecasting.

    AI Agents Drive Stablecoin Dominance on XRP Ledger

    On-chain payment activity tracked by XRPL AI Hub reveals a structural shift in how autonomous software agents settle value on the XRP Ledger. Analysis of all-time highs and 30-day trends in direct clearing settlements shows sustained dominance of Ripple’s regulated stablecoin, Ripple USD, while transaction volumes denominated in the network’s native cryptocurrency, XRP, have stagnated over the past week. The data captures a growing preference among machine participants for regulated stablecoins as the primary medium of exchange in continuous, around-the-clock settlement workflows.

    BlackRock Validates Machine-Native Economy Thesis

    This trend aligns with findings from BlackRock’s research note, The Machine-Native Economy, which describes a tectonic shift in financial infrastructure. The asset manager argues that the traditional banking system, constrained by human operating schedules, is technically incapable of handling the millisecond micropayments executed by autonomous software. According to BlackRock, the global stablecoin market has already surpassed $300 billion in size, while its annual transaction volume of $11.6 trillion has turned this asset class into a basic unit of account for AI. This circulating liquidity allows machine networks to reliably run high-frequency micropayments without causing friction or systemic blockages.

    Predictable Costs Fuel Algorithmic Preference for Ripple USD

    The machines’ pragmatism is explained by the nature of their programming. As Coinbase CEO Brian Armstrong noted, the number of AI agents making transactions will grow exponentially, but they critically need predictable costs. Software’s strict budgeting algorithms rule out volatile assets: even a change of a few percent in $XRP’s price within an hour could undermine an autonomous task’s financial model. By contrast, Ripple USD, pegged one-to-one to the U.S. dollar, allows algorithms to forecast costs precisely. Autonomous agents must purchase computing power around the clock and pay for API access, making tokenized GPUs a key raw material of the new technological order.

    XRP Retains Interbank Role While Stablecoins Lead Robot Economy

    While XRP retains its established role in interbank clearing, Ripple’s digital dollar is taking the lead in the internal economy of robots on the XRP Ledger across all time horizons. The divergence reflects a functional specialization: XRP serves as a bridge asset for institutional cross-border settlement, whereas dollar-pegged stablecoins provide the price stability required for autonomous, high-frequency machine-to-machine commerce.

    Why This Matters

    The convergence of AI agent proliferation and stablecoin infrastructure marks a fundamental evolution in how value moves through digital networks. BlackRock’s framing of a “machine-native economy” suggests that financial rails originally designed for human-paced commerce are being repurposed—and in some cases replaced—by settlement layers optimized for software-speed execution. As regulated stablecoins like Ripple USD gain traction on permissioned and public ledgers alike, they may become the default denomination for compute procurement, data licensing, and API metering in agent-driven workflows. This shift also carries regulatory implications, as the dominance of compliant, dollar-backed tokens in machine commerce could accelerate policy clarity around stablecoin issuance and reserve requirements.

    Frequently Asked Questions

    Why are AI agents choosing Ripple USD over XRP on the XRP Ledger?

    Autonomous agents require predictable pricing for budgeting computing resources and API access. XRP’s hourly price volatility of even a few percent can disrupt an agent’s financial model, while Ripple USD’s 1:1 dollar peg enables precise cost forecasting.

    What does BlackRock’s “The Machine-Native Economy” report conclude about stablecoins?

    BlackRock identifies the $300 billion stablecoin market—with $11.6 trillion in annual transaction volume—as the foundational unit of account for AI, arguing that traditional banking cannot support the millisecond micropayments required by autonomous software networks.

    Does XRP still have a role on the XRP Ledger?

    Yes. XRP continues to serve its established function in interbank and cross-border clearing, while Ripple USD is emerging as the preferred settlement asset for high-frequency, machine-to-machine transactions within the ledger’s internal economy.

  • BlackRock: AI Agents Will Soon Buy Computing Power and Data Using Stablecoins

    BlackRock: AI Agents Will Soon Buy Computing Power and Data Using Stablecoins

    Key Highlights

    • BlackRock identifies artificial intelligence as a primary catalyst for digital asset adoption, citing autonomous agents’ need for native payment and settlement infrastructure.
    • Stablecoins are positioned as the immediate beneficiary due to their price stability for service pricing and blockchain networks’ 24/7 payment capabilities.
    • The asset manager highlights Coinbase’s x402 protocol as an emerging standard for agent-to-service payments, including API calls, while noting traditional payment networks are also adapting to agentic commerce.

    BlackRock Maps Convergence of AI Agents and Digital Asset Infrastructure

    BlackRock, the world’s largest asset manager, has published research arguing that artificial intelligence will serve as one of the most significant drivers for digital asset adoption in the coming years. The paper centers on the rise of autonomous AI agents—software systems capable of independently executing complex tasks—and their fundamental requirement for programmable, always-on financial infrastructure to operate at machine speed.

    Machine-Native Intelligence Requires Machine-Native Payments

    According to BlackRock’s analysis, AI provides “machine-native intelligence” while digital assets supply the corresponding payment and settlement layer these agents need to act on their decisions without human intervention. The paper illustrates a scenario where an autonomous agent carrying out a task could pay for a data request, book a service, or purchase computing capacity instantly, eliminating the latency and friction inherent in traditional financial systems that require human authorization or operate within limited business hours.

    This architectural fit stems from the programmable nature of blockchain networks and tokenized assets, which allow for conditional, automated value transfer based on code execution rather than institutional intermediaries. For AI agents operating across time zones and negotiating micro-transactions for compute resources or data access, the ability to settle instantly and finality is presented as a functional necessity rather than a speculative feature.

    Stablecoins Emerge as Primary Vehicle for Agentic Commerce

    The research identifies stablecoins as the likely first major beneficiary of this paradigm shift. Their relatively stable value makes them practical for pricing services and settling obligations predictably—a critical requirement for autonomous systems budgeting resources or calculating cost-efficiency in real time. Furthermore, public blockchain networks enable these stablecoin payments to occur around the clock, seven days a week, aligning with the non-stop operational tempo of AI agents.

    BlackRock specifically highlights Coinbase’s x402 protocol as one emerging mechanism facilitating this economy. The protocol is designed to allow agents to pay for online resources—including API calls—directly via HTTP payments, embedding settlement into the web request layer itself. This development signals a move toward standardized, interoperable payment rails for machine-to-machine commerce.

    Traditional Finance Adapts to Agentic Payments Landscape

    While emphasizing the structural advantages of crypto-native infrastructure, BlackRock’s paper acknowledges that existing payment networks are not standing still. The research notes that traditional financial rails are actively adapting to accommodate agentic commerce, suggesting a competitive landscape where both blockchain-based and upgraded legacy systems vie for the high-volume, low-value transaction flows generated by autonomous AI agents.

    Why This Matters

    BlackRock’s endorsement of the AI-agent and digital-asset convergence carries significant weight given the firm’s $10 trillion-plus in assets under management and its growing involvement in tokenized funds and blockchain infrastructure. The paper frames digital assets not as speculative vehicles but as essential utility infrastructure for the next computing paradigm. If autonomous agents become a dominant economic force—as many AI researchers predict—the demand for instant, programmable, global settlement could drive institutional adoption of stablecoins and blockchain payment rails far beyond current crypto-native use cases. The mention of Coinbase’s x402 protocol also underscores how major regulated exchanges are building the middleware to bridge traditional web commerce with onchain settlement. Meanwhile, the acknowledgment that legacy payment networks are adapting signals a broader industry recognition that the future of commerce may be increasingly machine-initiated.

    Frequently Asked Questions

    Why does BlackRock believe AI agents need digital assets for payments?
    BlackRock argues that AI agents require “machine-native” payment infrastructure that operates 24/7, settles instantly, and can be triggered programmatically without human authorization—capabilities that blockchain networks and tokenized assets provide natively.
    What role do stablecoins play in this vision?
    Stablecoins are seen as the immediate primary vehicle because their price stability allows agents to price services and budget resources predictably, while blockchain rails enable round-the-clock settlement.
    What is Coinbase’s x402 protocol and why does BlackRock highlight it?
    x402 is an emerging protocol from Coinbase that enables HTTP-based payments for online resources such as API calls, allowing agents to pay for web services directly at the protocol layer. BlackRock cites it as an example of the middleware being built for agent-to-service commerce.
  • BlackRock Secures Over $3.1 Billion in Cryptocurrency Inflows in 8 Days

    BlackRock Secures Over $3.1 Billion in Cryptocurrency Inflows in 8 Days

    Bitcoin (BTC) and Ethereum (ETH) have spearheaded a broad cryptocurrency market recovery over the past two weeks, prompting a massive accumulation spree by BlackRock Inc. (NYSE: BLK). The asset management giant acquired more than $3.1 billion in crypto assets across eight consecutive trading sessions, according to on-chain data analyzed by Finbold on August 28.

    BlackRock’s Bitcoin and Ethereum ETFs Lead $3.16 Billion Buying Spree

    Data from Arkham Intelligence reveals that BlackRock’s iShares Bitcoin Trust (IBIT) purchased a total of 22,722 BTC, valued at approximately $2.2 billion, during the eight-day window. Simultaneously, the iShares Ethereum Trust ETF (ETHA) accumulated 385,633 ETH, worth roughly $961 million. Combined, the purchases total approximately $3.161 billion. Both funds received the assets from Coinbase Prime, the institutional prime brokerage platform operated by Coinbase Global Inc. (NASDAQ: COIN).

    IBIT and ETHA on-chain transactions. Source: Arkham Intelligence.

    Record Inflows Swell IBIT Holdings to $62.3 Billion

    The buying pressure aligns with historic cash inflows into BlackRock’s Bitcoin vehicle. Metrics from SoSoValue show IBIT recorded nine consecutive days of net inflows totaling $2.302 billion between August 17 and August 27. Consequently, IBIT’s total Bitcoin holdings surged to $62.29 billion at the time of reporting.

    IBIT daily cash flow. Source: SoSoValue.

    Ethereum Products See Sustained Momentum

    BlackRock’s Ethereum exposure is also expanding rapidly. The iShares Staked Ethereum Trust ETF (ETHB) has attracted $130.54 million in net inflows over the past two months, lifting its total net assets to $872 million. Since inception, ETHB has experienced only a single month of outflows—$10.06 million in June.

    ETHB daily cash flow. Source: SoSoValue.

    Meanwhile, the flagship iShares Ethereum Trust (ETHA) posted nine straight days of inflows amounting to a net $1.02 billion. This streak pushed ETHA’s net assets to approximately $8.63 billion.

    ETHA daily cash flow. Source: SoSoValue.

    Total Crypto Portfolio Nears $72 Billion

    Cumulatively, BlackRock’s cryptocurrency portfolio across its exchange-traded products reached nearly $71.79 billion as of Friday, underscoring the firm’s dominant position in the institutional digital asset landscape.

    Featured image via Shutterstock.
  • Akshay Petta Left BlackRock to Build the Systems Behind Reliable Financial AI

    Akshay Petta Left BlackRock to Build the Systems Behind Reliable Financial AI

    A former investment strategist has transitioned into engineering to build regulated financial platforms from the ground up, leveraging code to transform traditional investment analysis.

    From Strategy to Engineering

    The career shift marks a move from analytical strategy to hands-on platform development. By applying programming expertise directly to financial infrastructure, the former strategist is addressing regulatory requirements and operational needs through custom-built technology.

    Building Regulated Platforms

    The focus on regulated financial platforms suggests an emphasis on compliance, security, and institutional-grade architecture. This approach combines deep domain knowledge from investment analysis with modern engineering practices to create platforms that meet stringent regulatory standards while delivering advanced analytical capabilities.