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

比推Published on 2026-03-12Last updated on 2026-03-12

Abstract

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

Related Questions

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.

Related Reads

Breaking: GPT-5.6 Prices Slashed Effective Today

OpenAI has announced significant price cuts for its GPT-5.6 model API, effective immediately. The entry-level **GPT-5.6 Luna** sees the most drastic reduction, with input prices dropping 80% to $0.20 per million tokens and output prices falling to $1.20 per million tokens. The mid-tier **GPT-5.6 Terra** is reduced by 20%, now costing $2.00 (input) and $12.00 (output) per million tokens. The flagship **GPT-5.6 Sol** maintains its original price but introduces a new **Fast mode**, offering speeds up to 2.5 times faster for double the cost. The company attributes these price reductions to efficiency gains achieved through **GPT-5.6 Sol's own involvement in optimizing its production systems**. The model assisted in rewriting GPU kernels and improving speculative decoding, leading to a 20% reduction in end-to-end service costs and over 15% improvement in token generation efficiency. OpenAI emphasizes this process remained human-led. A key focus of the降价 is to lower the barrier for running **AI agent workflows**. By making the capable, tool-calling Luna model significantly cheaper, OpenAI aims to enable more frequent use in cost-sensitive, high-volume tasks like code review and monitoring. This creates a potential feedback loop: model-assisted efficiency gains lead to lower costs, which enables broader agent deployment, which in turn drives further optimization. The new pricing and features will also apply to Codex and ChatGPT Work subscriptions. The changes intensify competition in the large language model market, with OpenAI directly challenging rivals like Anthropic to respond.

marsbit4m ago

Breaking: GPT-5.6 Prices Slashed Effective Today

marsbit4m ago

South Koreans' 'Gambling Nature' is Actually Forced by Life

This article explores how systemic pressures in South Korea, rather than inherent "gambling" tendencies, drive widespread speculative financial behavior. It begins by noting the high frequency of flights from South Korea to Macau, symbolizing the search for outlets beyond domestic restrictions. The core argument is that ordinary life goals—stable employment, home ownership, and financial security—have become increasingly tied to asset markets due to structural economic factors. South Korea's development model, historically reliant on corporate leverage (chaebols), has evolved into a society where household debt and personal leverage are normalized as pathways to social mobility. Key mechanisms discussed include: * **Housing Policy:** Government measures to improve affordability, like extending mortgage terms to 50 years and the unique *jeonse* (key money) rental system, embed high leverage into the housing market. * **Financial Products:** The recent approval and explosive popularity of single-stock 2x leveraged ETFs (e.g., on Samsung and SK Hynix), easily accessed via mobile apps, lowered barriers to high-risk trading. * **Social Pressure:** Media narratives around soaring corporate profits (e.g., SK Hynix) and employee bonuses create a fear of missing out, pushing individuals to use leverage to "catch up." The article concludes that this "leveraged life" is a product of institutional history and policy choices. When traditional paths to success feel constrained, and policy facilitates debt-based solutions for housing and investment, speculative behavior becomes a rational, if risky, strategy for many. The rapid cycle of regulatory approval for leveraged ETFs followed by a market crash and official apology in mid-2026 exemplifies the system's inherent contradictions. Ultimately, the "bet" is not just on assets, but on using future earnings to secure a place in the present society.

marsbit4m ago

South Koreans' 'Gambling Nature' is Actually Forced by Life

marsbit4m ago

Trading

Spot
活动图片