Don't Rush to Declare Crypto Dead, AI Is Reviving It

比推Опубліковано о 2026-03-12Востаннє оновлено о 2026-03-12

Анотація

Summary: The article argues that AI is revitalizing the crypto space by enabling an emerging "agent economy" where AI agents autonomously conduct transactions on-chain. It notes crypto's stagnation since 2021 but highlights how AI agents could drive demand. Key projects like Bankr and Venice, alongside infrastructure from Stripe and Coinbase, are building the foundation for this shift. The piece explains why blockchains are ideal for agent economies due to standards like ERC-8004 (digital identity), x402 (micro-payments), and stablecoins (global currency). Current on-chain agent activities include deploying apps, creating content, trading DeFi, and even hiring humans. With major tech companies racing to develop agent infrastructure and AI capabilities growing exponentially, the author concludes that the agent economy—though still early—is too significant to ignore.

Author: Nick, Investment Partner at Breed.vc

Compiled and Edited by: BitpushNews


"Imagine somewhere around 2027, a real 'nation of geniuses' emerges. Picture, say, 50 million people, each more capable than any Nobel laureate, politician, or technologist. Now imagine that, because AI systems operate hundreds of times faster than humans, this 'nation' has a time advantage over all others: for every cognitive action we take, this nation can take ten." — Dario Amodei

"In our view, agents will likely soon be responsible for most internet transactions, and we will need blockchains." — Stripe

We can imagine the creativity, economic progress, and level of wealth that the agent economy will generate.

Last month, the crypto community predicted that this economy would run on-chain, and as the largest companies, capital allocators, and developers put forward this proposition, the prediction seems reasonable.

We had similar fantasies at the end of '24, but in typical crypto fashion, it was too early then, and the hype was short-lived.

Since then, the quality of AI models and blockchain infrastructure has developed to a point where we are conducting this experiment again.

In this report, we will examine the current state of the crypto economy, review the history of crypto agents, discuss why the agent economy might exist on-chain, explore what agents are doing today, and look at what comes next.

The Current State of the Crypto Economy

The lack of growth in the crypto asset class since the 2021 bull market has been disappointing. Most industry-wide metrics are at or below 2021 levels. Crypto world supremacy did not arrive.

AI agents provide a credible path to expanding demand.

The Seeds of the Crypto Agent Revival

The "AI agents on blockchain" meta-narrative in 2024 was premature. The models, crypto infrastructure, and teams were not ready.

However, it wasn't all for nothing, as these lessons became the seeds of today's revival.

Projects like Bankr and Venice continued building so they could support today's models. Companies like Coinbase and Stripe recognized the potential and began developing their own supportive infrastructure.

Combine higher-quality teams with the continued building of a new generation of models, and you have the early stages of an on-chain agent economy.

Some projects are now generating recurring revenue and attracting high-quality developers—like Austen Allred, Nat Eliason, and Nik Pash—which is exactly what the crypto space desperately needs.

However, an on-chain agent economy is far from a certainty, as every payments company on Earth is racing to build this infrastructure.

Why the Agent Economy Will Run On-Chain

There is no stronger signal than Stripe explicitly stating that agents will run on blockchain rails. Their reasoning: every API call an agent makes today requires an account, an API key, and a linked credit card. This model breaks down when you have thousands of agents executing millions of microtransactions daily.

Blockchain solves these limitations by combining ERC-8004, x402, and stablecoins.

  • ERC-8004 gives each agent an on-chain identity, portable reputation, and verifiable capabilities that any other agent or service can query—the digital equivalent of identity and credit scores.

  • x402 allows agents to autonomously pay for APIs and services using stablecoins and scale micro-payments—the machine-to-machine payment layer for the internet.

  • Stablecoins give agents a globally accessible, programmable unit of account that can settle transactions instantly—the currency of the agent economy.

What Agents Are Doing Today

Today, agents are increasing their activity on-chain: launching applications, generating videos to promote these applications, contracting with other agents, handling governance matters for their users, selling NFTs, trading in DeFi, and even hiring humans.

The most exciting of these developments is the interaction with DeFi. Uniswap and Fluid are riding the agent narrative and beginning to build supportive infrastructure.

Furthermore, in the past month, OpenAI has made two agent-related announcements: Frontier, a platform designed to help businesses build, deploy, and manage AI colleagues; and EVM Bench, an evaluation framework for testing AI agents' ability to detect, patch, and exploit smart contract vulnerabilities.

Agents Are Coming

You might dismiss it as AI doom fiction, but the predictions of "AI 2027" are alarmingly accurate. If anything, AI progress is moving faster than the proposed timeline.

If this trajectory continues, we will see exponential growth in agent capabilities and intelligence over the next year.

Key parts of the stack still need to be built, but every major tech company in the world is racing against the clock to do so.

The social discussion around agents today might be frenzied, but the reality on the ground and the scale of the opportunity are too large to ignore.

Marc Andreessen (a16z partner) put it well: "Is it real? Or is it fake? It doesn't really matter. It's out there, and models are being trained on it."


Twitter:https://twitter.com/BitpushNewsCN

Bitpush TG Discussion Group:https://t.me/BitPushCommunity

Bitpush TG Subscription: https://t.me/bitpush

Original link:https://www.bitpush.news/articles/7619270

Пов'язані питання

QWhat is the main argument presented in the article regarding the future of Crypto and AI?

AThe article argues that AI is revitalizing the crypto space by creating an on-chain agent economy, where AI agents will drive demand, economic activity, and innovation through blockchain infrastructure.

QAccording to the article, why might the agent economy need to operate on-chain?

AThe agent economy needs to operate on-chain because traditional payment models (requiring accounts, API keys, and credit cards) fail at scale for micro-transactions. Blockchain solutions like ERC-8004, x402, and stablecoins provide identity, micro-payments, and a global programmable currency for agents.

QWhat are some specific activities that AI agents are already performing on-chain today, as mentioned in the article?

AAI agents are currently deploying applications, generating promotional videos, contracting other agents, handling governance tasks, selling NFTs, trading in DeFi, and even hiring humans on-chain.

QWhich companies or projects are cited as recognizing the potential of on-chain AI agents and building supportive infrastructure?

ACompanies like Stripe, Coinbase, Bankr, Venice, Uniswap, and Fluid are recognized for seeing the potential and developing infrastructure to support on-chain AI agents.

QWhat key blockchain technologies are highlighted as enabling the agent economy, and what role does each play?

AERC-8004 provides on-chain identity and reputation, x402 enables autonomous micro-payments for APIs and services, and stablecoins offer a global, programmable unit of account for instant settlement in the agent economy.

Пов'язані матеріали

How Many Tokens Away Is Yang Zhilin from the 'Moon Chasing the Light'?

The article explores the intense competition between two leading Chinese AI companies, DeepSeek and Kimi (Moon Dark Side), and the mounting pressure on Yang Zhilin, the founder of Kimi. While DeepSeek re-emerged after 15 months of silence with its powerful V4 model—boasting 1.6 trillion parameters and low-cost, long-context capabilities—Kimi has been focusing on long-context processing and multi-agent systems with its K2.6 model. Yang faces a threefold challenge: technological rivalry, commercialization pressure, and investor expectations. Despite Kimi’s high valuation (reaching $18 billion), its revenue heavily relies on a single product with low paid conversion rates, while DeepSeek’s strategic silence and open-source influence have strengthened its market position and valuation prospects, now targeting over $20 billion. Both companies reflect broader trends in China’s AI ecosystem: Kimi aims for global influence through open-source contributions and agent-based advancements, while DeepSeek prioritizes foundational innovation and hardware independence, notably shifting to Huawei’s chips. Their competition is seen as vital for China’s AI progress, with the gap between top Chinese and U.S. models narrowing to just 2.7% on the Elo rating scale. Ultimately, the article argues that this rivalry, though anxiety-inducing for leaders like Zhilin, is essential for driving innovation and solidifying China’s role in the global AI landscape.

marsbit3 год тому

How Many Tokens Away Is Yang Zhilin from the 'Moon Chasing the Light'?

marsbit3 год тому

TechFlow Intelligence Bureau: ChatGPT Helps Amateur Mathematician Crack 60-Year-Old Problem, CFTC Sues New York Regulator Over Coinbase and Gemini

An amateur mathematician, with the assistance of ChatGPT, has solved a combinatorial mathematics puzzle originally proposed by Hungarian mathematician Paul Erdős in the 1960s. This marks another milestone in AI-aided mathematical research, demonstrating the evolving capabilities of large language models in formal reasoning. In other AI developments, OpenAI introduced a new privacy filter tool for enterprise API usage, automatically screening sensitive data. Meanwhile, the Qwen3.6-27B model achieved 100 tokens per second on a single RTX 5090 GPU using quantization, significantly lowering the cost barrier for local AI deployment. In crypto and Web3, the U.S. CFTC sued New York’s financial regulator, challenging its oversight of Coinbase and Gemini—a first-of-its-kind federal-state regulatory clash. Following a vulnerability, KelpDAO and major DeFi protocols established a recovery fund. Tether froze $344 million in assets linked to Iran’s central bank upon U.S. Treasury request, highlighting the centralized control risks in stablecoins. Separately, Litecoin underwent a 3-hour chain reorganization to undo a privacy-layer exploit. In the U.S., former President Trump invoked the Defense Production Act to address power grid bottlenecks affecting AI data centers and dismissed the entire National Science Board, raising concerns over research independence. A retail trader gained 250% on a $600k Intel options bet amid AI-related speculation. Xiaomi announced its first performance electric vehicle, targeting rivals like Tesla. Meanwhile, iPhone users reported devices automatically reinstalling a hidden app daily, suspected to be MDM-related. A Chinese securities report noted that A-share institutional crowding has reached its second-longest streak since 2007, signaling high valuations and potential style rotation. The day’s developments reflect a dual narrative: AI is enabling unprecedented individual breakthroughs, while centralized power structures—whether governmental or corporate—are becoming more assertive, underscoring that decentralization is as much a political-economic challenge as a technical one.

marsbit3 год тому

TechFlow Intelligence Bureau: ChatGPT Helps Amateur Mathematician Crack 60-Year-Old Problem, CFTC Sues New York Regulator Over Coinbase and Gemini

marsbit3 год тому

Торгівля

Спот
Ф'ючерси
活动图片