Research Status Report on AI Payment Protocols: The New Paradigm of Payment in the Agent Economy

marsbitPublicado em 2026-03-31Última atualização em 2026-03-31

Resumo

AI Payment Protocol Research Status Report: A New Paradigm for Agent Economy Payments This report analyzes the rapid evolution of payment infrastructure designed for AI agents, driven by major industry moves from OpenAI, Google, Visa, Mastercard, Coinbase, and Stripe between late 2025 and early 2026. The core challenge is that traditional payment systems, built for human interaction, are incompatible with AI agents that require machine-readable interfaces, millisecond authorizations, and support for high-frequency micro-transactions. The emerging infrastructure is forming a two-layer architecture: 1. **Intent Orchestration Layer:** Translates agent intent into executable transactions. Two key segments exist: * **Agent Shopping for Humans:** Focuses on enabling agents to shop on human-centric e-commerce platforms. Protocols include OpenAI & Stripe's closed **Agentic Commerce Protocol (ACP)** and Google's open **Universal Commerce Protocol (UCP)** for standardized merchant interfaces. * **Agent-to-Agent (A2A) Transactions:** Solves trust issues in environments without human merchants, using blockchain-based smart contracts like **ERC-8183** for task execution and payment escrow. 2. **Settlement Layer:** Handles the actual movement of funds. Key competing protocols include: * **Stripe's SPT & Card Network Upgrades (Visa/Mastercard):** Extend existing card payments with delegated authorization tokens, ideal for standard retail but unsuitable for micro-payme...

Author: Bryan Vong, Foresight Ventures

In the six months from September 2025 to March 2026, every major player in the global payments space made significant moves. OpenAI and Stripe jointly released the Agentic Commerce Protocol (ACP). Google launched the Universal Commerce Protocol (UCP). Within a week, Visa and Mastercard successively released their respective Agent payment frameworks. Two months later, Coinbase's x402 protocol had processed over 15 million transactions on the Base chain. In March 2026, Stripe and Tempo jointly released the Machine Payments Protocol (MPP).

These intensive actions by tech giants and financial institutions are no coincidence; they are a collective response from the payments industry to the same challenge: when AI Agents become the most active consumers on the internet, the existing payment infrastructure is fundamentally inadequate for their operational needs.

Every design of the traditional payment system is based on the premise of "human operation": it relies on browser interfaces, manually filling out forms, clicking "confirm payment," and verifying identity through CAPTCHAs. The operational logic of an Agent is completely different: it requires machine-readable standard interfaces, millisecond-level authorization responses, and infrastructure adapted for high-frequency, small-amount settlements.

This infrastructure battle will not be dominated by a single protocol but is forming a clear two-tier architecture. The intent layer defines "who is the merchant and how to match," while the settlement layer defines "how funds actually flow." The two layers are independent and evolve separately but are indispensable. Without either layer, the commercial closed loop of the Agent economy cannot be realized.

Part One: Intent Orchestration Layer

The intent orchestration layer is responsible for translating an Agent's transaction intent into an executable end-to-end process: discovering goods or services, adding them to a cart, and triggering payment. This layer has formed two distinct tracks.

1.1 Agent Shopping on Behalf of Humans

The core conflict in this track is not payment, but access. Traditional e-commerce platforms are designed for human users; Agents cannot parse visual pages or click interactive elements. For an Agent to shop on behalf of a human, merchants must provide machine-readable, standardized interfaces.

ACP (Agentic Commerce Protocol): AI Shopping Experience within a Closed Ecosystem

ACP was jointly released by OpenAI and Stripe in September 2025. Its core mechanism is delegated payment: users grant payment authority to the Agent upon confirming a purchase. The Agent completes the transaction using payment credentials compliant with the Delegated Payment Spec, and the merchant retains the Merchant of Record status. Currently, Stripe's SPT is the first and only implemented solution in this system.

ChatGPT Instant Checkout launched in September 2025 but was shut down in March 2026 due to low conversion rates. OpenAI has shifted its strategic focus to product discovery, where ChatGPT displays products and then directs users to the merchant's native site to complete the transaction. The ACP protocol itself remains in a more streamlined form, supporting exclusive ChatGPT apps for several large retailers. Merchants must apply to join, and OpenAI controls the display.

UCP (Universal Commerce Protocol): Long-term Layout of Open Standards

UCP was announced personally by Google CEO Sundar Pichai at the NRF retail annual meeting in January 2026 and has garnered over 30 partners, including mainstream platforms like Shopify, Stripe, Visa, Mastercard, Walmart, and Wayfair. The core mechanism of UCP is merchant capability declaration: merchants publish a JSON-formatted UCP configuration file under their own domain, declaring their supported transport and payment capabilities, which AI can read directly. Google aims to position Gemini as the core discovery layer for Agent shopping.

The key difference is that Google deliberately avoids the role of a middleman. It doesn't need to own the transaction itself, only control the upstream环节 of product discovery. ACP and UCP are not in competition; they represent two different market propositions: the former trades a closed ecosystem for极致 user experience and control, while the latter trades open standards for greater scale effects and interoperability.

1.2 Transactions Between Agents

If Track A solves how Agents shop on behalf of humans, Track B addresses a more fundamental problem: when both parties to a transaction are Agents, with no human merchant involved, where does trust come from? Agents lack credit背书, and consumer protection laws are inapplicable. The core矛盾 is: how to ensure the reliability of value exchange in a zero-trust environment.

ERC-8183 + ERC-8004: Trustless On-Chain Task Contracts

ERC-8183 was launched in March 2026 by the Ethereum Foundation's dAI team in collaboration with Virtuals Protocol. Each Job consists of three parties: Client (delegator), Provider (service provider), and Evaluator (assessor). Funds are escrowed by a smart contract until task acceptance is completed. The transacting parties do not need to trust each other, only the contract itself. ERC-8004 is a配套 identity protocol where each Agent registers on-chain and accumulates a reputation score based on historical transactions. Currently, about 24,000 Agents are registered network-wide.

Virtuals Protocol's Butler is the biggest promoter of this system, decomposing complex tasks and assigning them to specialized Agents for execution. This model aims to promote this三方 contract mechanism as an open standard, but widespread developer adoption still requires time.

The structural differences between the two tracks directly affect the choice of settlement layer protocol: Track A transactions naturally connect to fiat channels, while Track B transactions naturally rely on stablecoin channels.

Part Two: Settlement Layer

If the intent orchestration layer determines "what to trade," then the settlement layer solves "how the money reliably arrives." Currently, five protocols are competing in this领域, with their design philosophies and applicable scenarios各有侧重.

2.1 Delegated Payment / SPT (Stripe)

  • Core Idea: Extend the existing银行卡 payment ecosystem rather than rebuild it.
  • Operation: When a user authorizes an Agent, Stripe generates a Shared Payment Token (SPT) saved by the Agent. During a transaction, the Agent presents this time-limited, amount-capped token to the merchant. Funds are then settled through Stripe's standard银行卡 payment channels. In the backend, Stripe has integrated with Visa's "AI-Ready" and Mastercard's "Agentic Token" interfaces. Thus, regardless of the underlying card network, merchants face a unified SPT interface.
  • Applicable Scenarios: Very suitable for standard retail and large transactions, especially for Agent-to-Agent payments that need consumer protection mechanisms like credit card chargebacks.
  • Main Limitation: Its architecture relies on traditional card networks and is not suitable for high-frequency, micro-value (e.g., less than 1 cent) machine-to-machine payment scenarios.

2.2 Visa Intelligent Commerce and Mastercard Agentic Token

  • Core Idea: Upgrade the tokenization technology of traditional card organizations to adapt to Agent transactions.
  • Operation: Use dynamically encrypted payment tokens to replace real card numbers. Each token is bound to metadata such as the Agent's identity, spending limit, validity period, and range of merchants it can trade with. Final fund清算 is still done through the original银行卡 network.
  • Development Status: Mastercard completed the world's first fully identified Agent transaction in September 2025 in collaboration with the Commonwealth Bank of Australia. Visa has also completed initial deployments in Europe through its "AI Ready" program.
  • Main Limitation: The inherent minimum handling fee of银行卡 networks poses a hard constraint, making it difficult to support the potentially massive volume of micro-payments below $1 that may occur in the future.

2.3 x402 (Coinbase)

  • Core Idea: Return to the underlying internet protocol, utilizing the rarely used "402 Payment Required" status code in the HTTP standard to natively integrate payments.
  • Operation: When an Agent requests a resource, the server returns a 402 response with payment parameters. After the Agent signs the authorization, a settlement node within the protocol completes an atomic swap on the blockchain (typically using USDC), taking about two seconds. The entire process requires no account registration, API keys, or identity verification.
  • Data & Status: As of the end of 2025, the protocol had processed over 100 million transactions across multiple blockchains. However, analysis indicates that a significant portion of this traffic belongs to internal testing and循环 transactions within the protocol. Although its architecture is designed for sub-cent payments with no minimum fee限制, the current challenge is to increase the density and quality of transactions in real business scenarios.

2.4 Nanopayments (Circle)

  • Core Idea: Serve as an enhanced solution to x402, specifically optimizing the economic model for extremely high-frequency, extremely small-value payment scenarios.
  • Operation: It also triggers an HTTP 402 response but employs a batch processing architecture at the settlement layer: the payer first deposits USDC into a Circle gateway. Subsequent payments are authorized via off-chain signatures and settled on-chain periodically in batches. This spreads the gas fee cost thin enough to be negligible, supporting payments as low as one-millionth of a dollar.
  • Main Limitation: Both transacting parties must预先 open an account and deposit funds at the Circle gateway, making it a semi-closed system to some extent, and it cannot achieve real-time atomic delivery of funds. The protocol launched its testnet in March 2026.

2.5 MPP (Tempo + Stripe)

  • Core Idea: Create a unified, pluggable multi-rail payment framework and apply to become the "official implementation" of HTTP 402.
  • Core Innovation: It allows developers to integrate multiple payment rails under the same protocol framework. Agents can choose on-demand during a transaction:
  • Tempo Stablecoin Rail: Supports per-transaction on-chain settlement or off-chain session batch settlement.
  • Stripe Fiat Rail: Completes银行卡 payments via Shared Payment Tokens.
  • Card Network Direct Rail: Directly uses Visa/Mastercard's智能 tokens.
  • Bitcoin Lightning Network: Integrated via Lightspark.
  • Key Feature: MPP introduces the concept of "Payment Sessions," similar to OAuth authorization. After a one-time pre-authorization and top-up, the Agent can achieve seamless, continuous real-time payments within the session without needing to go on-chain for every transaction.
  • Strategic Significance: Stripe plays a dual role here—it is both a co-creator of the protocol and one of the payment options provided within the protocol. This means that无论 the market ultimately favors the open HTTP 402 system or traditional fiat channels, Stripe can ensure its core payment business is embedded in the future ecosystem.

Part Three: Status, Challenges, and Opportunities

3.1 Status and Challenges

In the past six months, the core related protocols have all been launched, but commercialization has generally lagged. In the settlement layer, x402 leads in transaction volume, but the real daily commercial transaction value is approximately $28,000; in the orchestration layer, the core ACP product was shut down due to low conversion rates. Newer protocols like ERC-8183 and MPP face the common situation where the narrative is ahead of implementation. This marks a critical stage: protocol architecture construction is largely complete, but scaled commercial application has not yet begun.

The current core challenge is the fragmentation of the intent orchestration layer. Merchants need to deal with multiple independent standards, SDKs, and compliance processes simultaneously, leading to high integration costs and unclear expectations. History shows that fragmented markets eventually催生 a unified integration layer, but this time may be different: platforms controlling traffic入口 (like OpenAI, Google, Microsoft) have strong incentives to build and maintain their own closed ecosystems rather than promote open integration. This logic is playing out simultaneously in global markets, and the final格局 will likely trend towards multiple regional closed ecosystems coexisting in parallel, rather than a single unified open standard. Therefore, the future integration layer will not be led by platforms but built by third-party infrastructure providers serving merchants.

3.2 Market Opportunities

Based on the above judgment, opportunities clearly exist at two levels:

Settlement Layer: The Most Certain Opportunity

Regardless of how fragmented the upper-layer ecosystems become, payment is a fundamental problem that any Agent must solve. A clear trend is: the orchestration layer continues to fragment due to platform interests, while the settlement layer is moving towards abstraction and integration due to developer efficiency pressures. Developers cannot maintain independent payment integrations for each ecosystem, and the economic incentive to consolidate into a unified solution is growing stronger.

This places clear demands on Agent wallets: they must support multiple payment rails. Fiat rails (e.g., SPT, Agentic Token) cover traditional physical goods consumption, while stablecoin rails (e.g., x402, MPP Session) cover on-chain services and A2A transactions. Both scenarios coexist and are unlikely to merge in the short term. The responsibility for flexible adaptation lies with the Agent side, not the merchant side: merchants choose which payment rails to support, a relatively stable decision for them; enterprises只需 configure stablecoins and authorized cards for their Agents, and the Agents can complete payments according to the rails supported by the counterparty. Wallets capable of handling multiple rails can cover the Agent's complete consumption scenario. Their value will accumulate deeply with every transaction跨越 different ecosystems, forming a deep infrastructure moat.

A2A Economy and Business Model Restructuring: A Long-term Blue Ocean Direction

The real market gap lies in application-layer services. The current A2A economy is still confined to crypto-native scenarios. Technically, it is entirely feasible for an Agent to "hire" another Agent to complete real-world tasks (e.g., data analysis, content creation, legal research, code review), but the corresponding supply of pay-per-call API services is extremely scarce. This is the biggest long-term opportunity and the direction with the least competition currently.

This opportunity is currently constrained by a real cold-start dilemma: reputation-based trust mechanisms like ERC-8183 require sufficient transaction density to generate meaningful trust signals. Microsoft predicts the number of active AI Agents will reach 1.3 billion by 2028, and there is an orders-of-magnitude gap between the current number and this target. This is not a temporary gap that will naturally resolve but a threshold that the A2A economy must cross to expand beyond crypto.

Its deeper significance lies in business model restructuring. The mainstream internet models of advertising and subscription are based on the assumption that "the user is human." Agents are not influenced by ads and do not need monthly subscriptions; they only pay for the results of individual tasks. The "pay-per-call" model represented by HTTP 402 provides a new path for API service providers: shifting from selling access rights to selling确切 results, enabling finer-grained value exchange. The expansion of the A2A economy and the prevalence of HTTP 402 are two sides of the same coin.

Conclusion

Agent commerce will evolve along two dimensions: the consumer side (Agent shopping for humans) will primarily rely on card rails, with development depending on the establishment of corporate authorization and user trust; the inter-Agent (A2A) side is technically ready on stablecoin rails, awaiting the scaling of applications and services.

The final格局 will be the协同 evolution of a two-layer protocol stack: the intent orchestration layer determines how transactions happen, and the settlement layer ensures how value flows.

For builders, the key now is to build broad access and integration capabilities. Infrastructure that can automatically route跨-protocol transactions and shield developers from underlying complexity will occupy a structural advantage when the market explodes. This is a value that沉淀 silently and is difficult to replace.

The key trigger for the inflection point will be the moment enterprises are willing to delegate expenditure authorization to Agents—including auditable transaction tracking, budget delegation mechanisms, and clear liability attribution when an Agent makes a mistaken purchase. At that time, Agent wallets that cover multiple payment rails and easy-to-use "pay-per-call" service directories will become the two most critical and yet unoccupied pieces of infrastructure. Neither position currently has a strong incumbent, and both will become crucial at the same moment.

Perguntas relacionadas

QWhat is the fundamental challenge that the traditional payment infrastructure faces in the era of AI Agents, as described in the report?

AThe traditional payment system is fundamentally ill-suited for AI Agents because it is designed for human operation, relying on browser interfaces, manual form filling, clicking 'confirm payment,' and identity verification via CAPTCHAs. In contrast, AI Agents require machine-readable standard interfaces, millisecond-level authorization responses, and infrastructure adapted for high-frequency, small-amount settlements.

QAccording to the report, what are the two distinct layers forming the new infrastructure for Agent payments, and what is the primary function of each?

AThe new architecture is forming a clear two-layer structure. The Intent Orchestration Layer is responsible for converting an Agent's transaction intent into an executable full process, including discovering goods/services, adding to a cart, and triggering payment. The Settlement Layer defines how funds actually move and ensures reliable transfer of value.

QHow do the approaches of OpenAI's ACP and Google's UCP in the Intent Orchestration Layer differ in their market philosophy?

AACP and UCP represent two distinct market philosophies. ACP, from OpenAI and Stripe, opts for a closed ecosystem to achieve an ultimate user experience and control, requiring merchants to apply to join with OpenAI controlling display. UCP, from Google, pursues open standards for greater scale and interoperability, allowing any merchant to publish a machine-readable configuration file on their own domain, with Google aiming to control the discovery layer without being a middleman in the transaction itself.

QWhat is the core mechanism of the ERC-8183 protocol for enabling trustless transactions between Agents (A2A), and what problem does it solve?

AERC-8183 enables trustless transactions between Agents through a three-party job contract structure involving a Client (delegating party), a Provider (service provider), and an Evaluator. Funds are held in escrow by a smart contract until the job is accepted as complete. This mechanism solves the core problem of ensuring reliable value exchange in a zero-trust environment where Agents lack reputation backing and consumer protection laws do not apply.

QWhat does the report identify as the most certain opportunity in the Settlement Layer and the key requirement for an Agent wallet to succeed?

AThe report identifies the Settlement Layer as the area of most certain opportunity. A key requirement for a successful Agent wallet is the ability to support multiple payment rails. It must handle fiat rails (like SPT, Agentic Token) for traditional physical consumption and stablecoin rails (like x402, MPP Session) for on-chain services and A2A transactions. A wallet that can automatically route transactions across these different protocols will build a deep infrastructure moat.

Leituras Relacionadas

From MSTR to STRC+: Where Is the Limit of the Strategy Universe?

From MSTR to STRC+: The Evolution and Limits of the Strategy Universe This article examines the transformation of Strategy (formerly MicroStrategy) from a simple "Bitcoin treasury" company into a complex financial engineering firm building a BTC-backed credit system. **Core Thesis:** Strategy's true significance lies not just in its massive BTC holdings (~844k BTC), but in its attempt to transform this static reserve into a multi-layered credit curve within traditional capital markets and, subsequently, into on-chain yield infrastructure. **The MSTR Flywheel:** The initial model was a reflexive loop: BTC price rises → MSTR stock rises → company raises capital (debt/equity) at a premium → buys more BTC → increases per-share BTC exposure → MSTR premium grows. This "amplified Bitcoin" equity (MSTR) thrives on bullish momentum but is vulnerable to tightening premiums and rising funding costs. **Building the Credit Curve:** Strategy's innovation is slicing its single BTC balance sheet into different risk/return profiles via specialized securities: * **MSTR:** High-volatility equity layer absorbing full BTC upside/downside. * **STRC:** Key product. A perpetual preferred stock designed as "short duration high yield credit," offering ~11.5% floating monthly dividends. It attracts fixed-income investors seeking yield without direct BTC exposure, funding Strategy's operations. * **STRD/STRK/STRF:** Other preferred/share classes with varying durations, conversion rights, and fixed dividends. **Risks of the STRC Model:** STRC's high yield is not risk-free. Its stability depends on: 1) Sufficient BTC asset coverage, 2) Strategy's continued ability to pay dividends, and 3) Market faith in the MSTR/STRC funding flywheel. Stress points include deep BTC price declines eroding the asset buffer, rising dividend costs if STRC trades below par, and a broken flywheel if MSTR's premium (mNAV) falls persistently. **On-Chain Expansion: STRC+:** Projects like **Saturn** and **Apyx** aim to package STRC's (and other DAT preferred stock) cash flows into on-chain stablecoin yield (e.g., sUSDat, apyUSD). They offer DeFi a new yield source distinct from trading fees or incentives—cash dividends from traditional securities. However, this introduces compounded risks: off-chain custody, issuer credit risk, BTC volatility, and protocol execution risk. **Conclusion: The Ultimate Boundary** Strategy's endgame is not infinite BTC accumulation. It is the market's long-term acceptance of a new credit system where BTC serves as collateral for tradable securities whose cash flows can power on-chain financial applications. Its "universe" expands if this BTC-native credit curve gains legitimacy, but contracts if these instruments are repriced purely as high-risk, yield-bearing credit assets without stablecoin mythology.

marsbitHá 8m

From MSTR to STRC+: Where Is the Limit of the Strategy Universe?

marsbitHá 8m

Founder of Baixing.com: My Fourteen Claude Code Usage Experiences

Founder of Baixing.com Shares 14 Personal Tips for Using Claude Code The author outlines his personal, non-universal strategies for maximizing Claude Code. Key points include: focusing deeply on one primary tool (Claude Code) rather than constant comparison; mastering essential shortcuts for the editor and command line; utilizing voice input like HoldSpeak; starting projects with a structured PROJECT.md file; defaulting to Claude agents for most tasks; and leveraging integrations with GitHub and Cloudflare for build, deployment, and infrastructure. He emphasizes a clear separation between human and machine work: manually maintain a core CLAUDE.md file, and understand AI-generated content by asking the AI, not reading its raw code. Efficient communication involves dragging files (screenshots, audio, documents) directly into the interface. For knowledge management, he recommends a centralized, Git-synced memory system based on ~/.claude/CLAUDE.md to ensure permanence and avoid scattered project memories. Other practices include writing and continuously refining "Skills," using the expensive but reliable ultracode for complex dynamic workflows, and employing Git documentation as handoff points between agents. The overarching philosophy is to treat Claude Code like a horse (or a person) with its own pathfinding abilities—setting goals and boundaries rather than micromanaging every turn.

链捕手Há 16m

Founder of Baixing.com: My Fourteen Claude Code Usage Experiences

链捕手Há 16m

Gary Yang: Agent Economy and AI Submicroeconomics

**Title:** Agent Economy and AI Sub-Microeconomics - Gary Yang **Summary:** Following the AI singularity, the pace of evolution has accelerated rapidly, creating new generational disparities in technological advancement globally. While many regions are still grappling with single-agent bottlenecks, Silicon Valley has moved ahead into the next dimension: the Agent Economy and A2A ecosystems. The article outlines six key areas of this emerging paradigm: 1. **AI Payment Competition & H2A Bottlenecks:** A fierce battle for AI Agent payment protocol standards is underway (e.g., MPP, x402). However, most current efforts remain Human-to-Agent (H2A), essentially grafting AI onto traditional human-centric commerce, which creates a non-AI-native bottleneck. The true potential lies in Agent-to-Agent (A2A) autonomous economies. 2. **Agent Economy & the Inevitable A2A Trend:** The Agent Economy is defined by autonomous AI Agents creating, exchanging, and capitalizing value as independent economic actors. The A2A ecosystem describes their interactions. This represents the next major investment frontier, akin to the early days of e-commerce or DeFi, but with faster iteration and an AI-native, efficiency-first perspective that often diverges from human needs. 3. **AI Protocol vs. Crypto Protocol:** AI Protocols are the foundational rules for Agent interaction in an open network (communication, discovery, collaboration), akin to the governance and economic laws of the AI world. Currently, they focus on communication and weak boundaries, unlike Crypto Protocols which emphasize asset rights and clear ownership. While they appear different due to political-economic factors and legacy system constraints, their eventual convergence into a unified Digital Protocol system is seen as inevitable, driven by first principles. 4. **AI Agent Sub-Microeconomics & Biological Analogy:** AI Agent economics differ fundamentally from human economics: higher frequency/lower value transactions, energy/value direct correlation, efficiency-driven (not emotional) decisions, task-oriented (not consumption-oriented) behavior, and near-zero organizational/communication costs. A powerful analogy frames the Agent economy as a biological system: the LLM is the nucleus, the Agent harness is the cytoplasm, the Agent itself is a cell, its communication protocol is the cell membrane, and external tools (Skills, Prompts) are the extracellular environment. 5. **The Inevitability of AIFi & FinChip:** AIFi (AI Finance) represents the financial system where AI-native value within the Agent economy is tokenized and exchanged. Unlike TradFi/DeFi where value resides *in* finance, in AIFi, value originates *in* AI, and finance becomes its form. This shift is enabled by Agents taking over value discovery. FinChip (Financial Chip) is introduced as a key infrastructure—a fusion of AI autonomy and crypto smart contracts—forming intelligent financial assets to power the future A2A economy. 6. **AI-Native as a Paradigm Shift:** Adopting AI is not akin to "Internet+". It requires AI-Native thinking—designing systems based on first principles, the shortest energy-value path, and maximum efficiency. This abstract, counter-intuitive logic poses a significant, ongoing challenge for all practitioners, as effective, generalized upgrade methodologies will be slow to emerge in this rapidly evolving landscape.

链捕手Há 57m

Gary Yang: Agent Economy and AI Submicroeconomics

链捕手Há 57m

From 'The Big Short' to San Francisco: The Revelry and Dizziness Within the AI Bubble

From "The Big Short" to San Francisco: The Frenzy and Dizziness in the AI Bubble The article captures the intense, frenetic atmosphere in San Francisco, the epicenter of the current AI boom. Drawing a parallel to the "smell of money" from *The Big Short*, the author observes a city gripped by a singular status game centered entirely on AI and technology. This manifests in a palpable, caffeine-fueled anxiety ("people are shaking"), rampant comparison using vanity metrics like funding rounds, and pervasive "Big Bubble Behavior." The piece explores the city's stark contrasts: its dystopian streets versus beautiful vistas, and the disconnect between the doomsday concerns of some AI researchers and the optimistic, growth-focused "GTM" teams. It critiques the obsession with "math genius" founders as the new ticket to outsized returns, akin to scouting sports prodigies. Referencing economic historian Carlota Perez's "frenzy phase" and Karl Polanyi's "double movement," the author frames the boom as a period where financial speculation detaches from fundamentals, with society potentially becoming subordinate to a new economic force driven by "geniuses in data centers." Ultimately, while acknowledging the unprecedented wealth creation and party-like energy, the article concludes with cautionary advice: when the music is playing, you should dance, but don't get drunk. The core reminder is to stay grounded, avoid distorted judgment, and maintain perspective amidst the euphoria.

marsbitHá 58m

From 'The Big Short' to San Francisco: The Revelry and Dizziness Within the AI Bubble

marsbitHá 58m

Trading

Spot
Futuros

Artigos em Destaque

Como comprar T

Bem-vindo à HTX.com!Tornámos a compra de Threshold Network Token (T) simples e conveniente.Segue o nosso guia passo a passo para iniciar a tua jornada no mundo das criptos.Passo 1: cria a tua conta HTXUtiliza o teu e-mail ou número de telefone para te inscreveres numa conta gratuita na HTX.Desfruta de um processo de inscrição sem complicações e desbloqueia todas as funcionalidades.Obter a minha contaPasso 2: vai para Comprar Cripto e escolhe o teu método de pagamentoCartão de crédito/débito: usa o teu visa ou mastercard para comprar Threshold Network Token (T) instantaneamente.Saldo: usa os fundos da tua conta HTX para transacionar sem problemas.Terceiros: adicionamos métodos de pagamento populares, como Google Pay e Apple Pay, para aumentar a conveniência.P2P: transaciona diretamente com outros utilizadores na HTX.Mercado de balcão (OTC): oferecemos serviços personalizados e taxas de câmbio competitivas para os traders.Passo 3: armazena teu Threshold Network Token (T)Depois de comprar o teu Threshold Network Token (T), armazena-o na tua conta HTX.Alternativamente, podes enviá-lo para outro lugar através de transferência blockchain ou usá-lo para transacionar outras criptomoedas.Passo 4: transaciona Threshold Network Token (T)Transaciona facilmente Threshold Network Token (T) no mercado à vista da HTX.Acede simplesmente à tua conta, seleciona o teu par de trading, executa as tuas transações e monitoriza em tempo real.Oferecemos uma experiência de fácil utilização tanto para principiantes como para traders experientes.

469 Visualizações TotaisPublicado em {updateTime}Atualizado em 2026.06.02

Como comprar T

Discussões

Bem-vindo à Comunidade HTX. Aqui, pode manter-se informado sobre os mais recentes desenvolvimentos da plataforma e obter acesso a análises profissionais de mercado. As opiniões dos utilizadores sobre o preço de T (T) são apresentadas abaixo.

活动图片