AI Ignites Crypto’s Next Supercycle With BTC And ETH In Front, BlackRock Says

bitcoinistPublished on 2026-03-25Last updated on 2026-03-25

Abstract

BlackRock's Robbie Mitchnick states that AI will be a more significant long-term driver for crypto than the creation of new tokens. He emphasizes that institutional investors are narrowing their focus to Bitcoin and Ethereum, dismissing most other tokens as lacking lasting value. According to Mitchnick, Bitcoin serves as a savings-style hedge, while Ethereum acts as productive infrastructure for on-chain activities. He highlights a natural alignment between “computer-native money” (crypto) and “computer-native intelligence” (AI), suggesting that autonomous agents are unlikely to use traditional financial systems like Fedwire or SWIFT. Instead, AI will require crypto-based infrastructure for real-world applications. This shift is already underway, with Bitcoin miners diversifying into AI compute services. The long-term outlook favors core crypto assets integrated with AI, rather than speculative altcoins.

BlackRock’s Robbie Mitchnick believes AI to be a bigger long-term force for crypto than the launching of new tokens.

The Future Of Crypto Is Not In Tokens But In AI

Robbie Mitchnick, the head of the world’s largest asset manager, BlackRock, said at the Digital Asset Summit in New York this Tuesday that big investors are rethinking their approach to crypto, signaling artificial intelligence (AI) as a more significant long‐term engine than simply launching more tokens, CoinDesk reports.

According to Mitchnick, since most tokens have short life cycles and limited long‐term value, client allocations are narrowing into a few core assets rather than broad altcoin baskets. As a result of this, institutional players are tightening their focus on bitcoin and ether, treating the bulk of remaining tokens as fleeting and mostly “nonsense”. “The majority of that is nonesense”, said Mitchnick himself.

Token turnover in the top ranks has been “pretty ferocious”, with only Bitcoin and Ethereum sustaining long‐term relevance, while the majority of circulating tokens lack staying power. Right now, BTC and ETH sit in different but complementary “monetary universes”: Bitcoin as a savings‐style hedge and Ethereum as productive infrastructure for on‐chain activity and tokenization.

What This Means For The Industry

Furthermore, Mitchnick sees this consolidation as a natural evolution and not a failure, with AI acting as the structural catalyst that will actually need crypto rails in the real economy. He believes there is an organic alignment between what he calls “computer-native money” and “computer-native data and intelligence”:

“AI agents are very unlikely to use, you know, Fedwire and SWIFT (...) What is crypto? Crypto is computer-native money... AI is computer-native data and intelligence. And so there’s a natural symbiosis there”

Under Mitchnick’s perspective, crypto is seen less as a speculative trade and more as core infrastructure. A growing cohort of Bitcoin miners is already reallocating capacity to AI workloads, attracted by more predictable income streams and surging demand for compute. Publicly listed firms like Hut 8 (HUT), Core Scientific (CORZ) and Iren (IREN) are converting data centers or signing hosting agreements focused on AI and high‐performance computing. Other miners are floating comparable strategies, even as traditional mining remains at the heart of their operations.

If BlackRock’s thesis holds, the real long‐term bet is on AI plus the core crypto stack (Bitcoin, Ethereum and tokenization rails), while long‐tail token churn turns even more fleeting and purely speculative. In an AI‐led market, the lasting upside is likely to accrue to the assets that autonomous agents and institutional plumbing actually rely on, not to whatever “AI coin” narrative happens to be trending next.

BTC trades for around $71k on the daily chart. Source: BTCUSD on Tradingview

Cover image from Perplexity, BTCUSD chart from Tradingview

Related Questions

QAccording to BlackRock's Robbie Mitchnick, what is a bigger long-term force for crypto than the launching of new tokens?

AArtificial intelligence (AI) is a bigger long-term force for crypto than the launching of new tokens.

QWhich two cryptocurrencies are institutional players tightening their focus on, according to the article?

AInstitutional players are tightening their focus on Bitcoin (BTC) and Ethereum (ETH).

QWhat natural relationship does Mitchnick see between crypto and AI?

AHe sees a natural symbiosis between 'computer-native money' (crypto) and 'computer-native data and intelligence' (AI), where AI agents are unlikely to use traditional systems like Fedwire and SWIFT and will instead need crypto infrastructure.

QWhat are some Bitcoin mining companies doing in response to the rise of AI?

ACompanies like Hut 8, Core Scientific, and Iren are converting data centers or signing hosting agreements focused on AI and high-performance computing, reallocating capacity to AI workloads.

QIn an AI-led market, where is the lasting upside likely to accrue, according to BlackRock's thesis?

AThe lasting upside is likely to accrue to the core crypto assets that autonomous agents and institutional plumbing actually rely on, such as Bitcoin and Ethereum, rather than to fleeting 'AI coin' narratives.

Related Reads

Anthropic's IPO Launch: Commercial Miracle or Valuation Bubble?

Anthropic has confidentially filed for an IPO, led by Morgan Stanley and Goldman Sachs, potentially going public by October. Following its latest $650 billion funding round, its pre-IPO valuation stands at $965 billion, with projections reaching up to $2 trillion at listing, which would make it the highest-valued private company ever. The article, written by Fu Sheng, addresses skepticism that this represents an AI bubble akin to the 2000 dot-com crash. It argues the current situation differs fundamentally. Unlike the internet bubble era, which relied on speculative narratives with little revenue, Anthropic's valuation is backed by unprecedented, measurable financial performance. Key data points include: * **Revenue Growth:** ARR skyrocketed from $10 billion in early 2025 to $470 billion by May 2026, targeting $100 billion by year-end—a growth curve unmatched in business history. * **Profitability:** It achieved operating profitability in Q2 2026 with an estimated $5.6 billion profit. * **Efficiency:** With ~3,000 employees and ~$470 billion ARR, its revenue per employee exceeds $10 million. Products like Claude Code, launched less than a year ago, already generate $25 billion in annualized revenue. * **Enterprise Adoption:** It boasts a strong enterprise client base, with 8 of the Fortune 10 and over 1,000 large firms spending over $1 million annually on Claude. The valuation is framed using a traditional SaaS model (e.g., a 10x Price-to-Sales multiple on $100 billion revenue). The author contends the core question for analysts has shifted from "How big could this be?" to "How much is it earning and will earn next quarter?" The discussion extends beyond Anthropic to a broader paradigm shift: the transition from a "carbon-based" to a "silicon-based" economy. Companies are increasingly prioritizing investment in compute and AI capabilities over human resources, as these directly scale productivity and competitive advantage. Anthropic's IPO is thus positioned not just as a corporate milestone, but as a price anchor for this new economic era.

链捕手1h ago

Anthropic's IPO Launch: Commercial Miracle or Valuation Bubble?

链捕手1h ago

Near Returns to the AI Stage: Transformation into a Public Chain Due to 'Payroll Difficulties,' Agent and Privacy Emerge as New Growth Narratives

NEAR Returns to AI Origins: From Payroll Struggles to Blockchain, Now Focusing on AI Agents and Privacy NEAR Protocol's journey began not with grand blockchain ambitions, but from a practical hurdle: its AI startup founders, including Transformer paper co-author Illia Polosukhin, couldn't efficiently pay international developers in 2017. This led them to pivot and build a high-performance, scalable blockchain. After years navigating various crypto narratives like sharding and cross-chain interoperability, NEAR is now leveraging its AI roots to re-enter the AI arena. A key driver is its "NEAR Intents" layer, which abstracts complex cross-chain transactions. Users simply state their goal (e.g., swap BTC for ETH), and a solver network finds the optimal route. This system has processed over $20B in cross-chain volume, generating significant fee revenue. A major growth area is private transactions via "Confidential Intents/Swaps," which hide trade details until settlement to protect against MEV and front-running. Remarkably, private swaps recently accounted for over 40% of NEAR's transaction volume, highlighting strong demand but also potential regulatory scrutiny. With its AI-founder pedigree, NEAR is positioning itself at the intersection of blockchain, AI agents, and privacy, aiming to become infrastructure for the emerging agent economy while navigating the challenges of its rapid adoption.

marsbit4h ago

Near Returns to the AI Stage: Transformation into a Public Chain Due to 'Payroll Difficulties,' Agent and Privacy Emerge as New Growth Narratives

marsbit4h ago

From Ethereum to AI's 'CROPS': What Exactly is This Set of 'Slow Variables' That Vitalik Repeatedly Emphasizes?

In recent discussions, Vitalik Buterin has frequently emphasized the concept of "CROPS," a framework defining core values for Ethereum's development. CROPS stands for Censorship Resistance, Capture Resistance, Open Source, Privacy, and Security. Initially outlined in the Ethereum Foundation's "EF Mandate," it represents a commitment to user sovereignty, ensuring that the network resists external control, remains open, protects privacy, and prioritizes security. The relevance of CROPS extends beyond Ethereum's foundational principles, becoming crucial in the context of AI integration. As AI agents begin handling wallet operations and automated transactions, the risk increases that users may cede control over their digital assets, privacy, and intentions to centralized AI service providers. A "CROPS AI" would therefore emphasize local execution where possible, privacy-preserving remote model calls (e.g., using zero-knowledge proofs), and transparent, verifiable processes to maintain user agency. Vitalik highlights a significant convergence between "CROPS Ethereum access layer" and "CROPS AI." Both address the same fundamental challenge: how users can access powerful services—be it blockchain data via RPCs or AI models—without exposing sensitive information or relinquishing ultimate control. This intersection points toward a future digital entry point that is more private, secure, and user-controlled. Ultimately, CROPS is not merely an abstract ideal but a practical guidepost. It steers development—from protocol resilience and wallet design to AI agent safety—towards a future where users retain self-sovereignty even as digital systems grow more complex and powerful. In an era of accelerating AI adoption, these "slow variables" of censorship resistance, openness, privacy, and security may define Ethereum's enduring value.

marsbit4h ago

From Ethereum to AI's 'CROPS': What Exactly is This Set of 'Slow Variables' That Vitalik Repeatedly Emphasizes?

marsbit4h ago

Trading

Spot
Futures

Hot Articles

Discussions

Welcome to the HTX Community. Here, you can stay informed about the latest platform developments and gain access to professional market insights. Users' opinions on the price of S (S) are presented below.

活动图片