AI Agent Got Its ID and Wallet on the Same Day|Rewire Morning News

marsbitPublicado a 2026-03-18Actualizado a 2026-03-18

Resumen

AI Agent Economy Accelerates with Key Infrastructure Launches. In a significant week for AI agents, Sam Altman's Worldcoin launched AgentKit, enabling AI agents to carry cryptographic proof of human identity, with 17.9 million users verified. On the same day, the protocol integrated with the x402 system from Coinbase and Cloudflare, allowing agents to perform micro-payments using stablecoins autonomously. Nvidia further solidified the infrastructure by releasing its Retail Agentic Commerce Blueprint, a full implementation of OpenAI's commerce protocol, enabling AI models like ChatGPT to handle entire shopping journeys. Industry projections suggest agent-driven commerce could reach $3-5 trillion by 2030. In other news, major tech industry associations filed a legal brief supporting Anthropic in its dispute with the Pentagon over the right to restrict government use of its AI. The Fed's March meeting concluded with rates held steady, while rising energy prices from the Iran conflict cloud the inflation outlook. Nvidia also unveiled its AI Grid, aiming to repurpose telecom networks into distributed推理 grids, and announced DLSS 5, a major graphics leap for 2026. The ongoing Iran war continues to strain global budgets and supply chains, with costs estimated between $40-95 billion.

On the same day, Sam Altman's World and Coinbase integrated identity verification and stablecoin payments into the AI Agent pipeline, while NVIDIA released the full implementation of the Agent e-commerce protocol on the second day of GTC. The Agent economy moved from concept to infrastructure in just one week.

1|AI Agent Got Its ID and Wallet on the Same Day

World released AgentKit, enabling AI Agents to carry cryptographic credentials proving "a real person is behind it" through zero-knowledge proofs, with 17.9 million users globally already verified. On the same day, AgentKit integrated with the x402 protocol jointly developed by Coinbase and Cloudflare, allowing Agents to perform micro-payments using stablecoins without human intervention. Erik Reppel, Engineering Lead of Coinbase's Developer Platform, stated: "Payment is the how of Agent commerce, identity is the who."

NVIDIA added the third pillar on the second day of GTC: the Retail Agentic Commerce Blueprint, a full implementation of OpenAI's Agentic Commerce Protocol, also compatible with Google's Universal Commerce Protocol. Consumers using ChatGPT or Gemini can theoretically complete the entire process from search to payment through an Agent. World cited predictions that Agent commerce could reach $3 to $5 trillion by 2030. The identity layer, payment layer, and commerce protocol layer all landed in the same week, and the infrastructure for the Agent economy is taking shape faster than anyone expected.

(Source: CoinDesk / TechCrunch / NVIDIA Blog)

2|The Entire AI Industry Stands Behind Anthropic

Four major tech industry associations (CCIA, ITI, SIIA, TechNet) submitted amicus briefs to the court, requesting a halt to the Pentagon's designation of Anthropic as a "supply chain risk." These four associations represent Google, OpenAI, Meta, Microsoft, NVIDIA, Adobe, Cloudflare, Accenture, and Deloitte. Hearing scheduled for March 24.

The issue arose when Anthropic requested that the U.S. military commit not to use its models for fully autonomous weapons and large-scale domestic surveillance. The Pentagon's move was to label it as a supply chain risk, a designation historically reserved for foreign adversaries. Anthropic expects revenue losses to reach billions of dollars by 2026.

On the surface, it's a contract dispute between a company and the military, but at its core is a question that has never been formally answered: Do AI companies have the right to set limits on how government clients use their technology? The entire industry gave its answer with a court filing.

(Source: Axios / CNBC / NPR)

3|Powell's Second-to-Last Appearance, Iran War Weighs on Inflation Expectations

The FOMC March meeting concludes today, with the interest rate decision and dot plot to be announced at 2:00 AM Beijing time tomorrow. The market expects rates to remain unchanged at 3.5%-3.75%, with the CME FedWatch tool showing a probability of over 92% for no change. The suspense lies not in the rate itself, but in the dot plot: the median expectation in January was for only one cut this year, and rising energy prices due to the Iran war could further reduce that number.

Powell's term ends on May 15. This is his second-to-last press conference as Fed Chair. The Strait of Hormuz blockade, soaring oil prices, and resurgent inflation expectations all weigh on his final two press conferences. Every word he says about inflation today will be parsed meticulously.

(Source: CNBC / Kiplinger / J.P. Morgan)

4|NVIDIA Aims to Rewrite Telecom Networks into Inference Grids

On the second day of GTC, NVIDIA released the AI Grid architecture, transforming operators' base stations, central offices, and edge nodes into a distributed inference grid. Comcast benchmark tests: distributed deployment reduced inference costs by 76% compared to centralized deployment, with P99 burst traffic latency below 500 milliseconds and peak throughput of 42,000 tokens per second. Nokia and T-Mobile are already cooperating on AI-RAN implementation. A unified control plane automatically routes workloads based on latency, data sovereignty, and cost.

The story Jensen Huang told on Monday was about selling GPUs to data centers; the story on Tuesday was that the entire telecom infrastructure is an inference engine. From chips to operating systems to grids, this front is growing longer every day.

(Source: NVIDIA Technical Blog / blockchain.news)

5|Day 18 of the Iran War, the Pentagon's Budget Gap is Widening

According to CSIS estimates, the first 100 hours of Operation Epic Fury cost $3.7 billion, with a daily cost approaching $900 million. Budget experts'预估 (estimate) for the total direct military expenditure of the entire war ranges from $40 billion to $95 billion, most of which is not covered by the existing defense budget. The Pentagon will soon need to request additional funding from Congress. The Strait of Hormuz has been closed for three weeks, and the UN World Food Programme warns the war is driving up global food and fertilizer prices.

Iran has chosen to attack neutral and friendly countries (Oman, Qatar, Turkey), and the UK's Cyprus air base was hit by a drone. The conflict has spread to at least 12 countries. RAND's assessment is: Iran is more likely to choose to continue fighting rather than concede, and the trajectory of the war may be longer than Washington expects. The cost curve and timeline of this war are both spiraling out of control.

(Source: CSIS / Fortune / RAND / Al Jazeera)

Also Worth Knowing ↓

DLSS 5 is NVIDIA's biggest graphics leap since ray tracing in 2018. 3D neural rendering plus generative AI, real-time 4K output, launching Fall 2026. NVIDIA is advancing both inference infrastructure and consumer graphics lines at GTC. (Source: Tom's Hardware)

Germany plans to double AI data center capacity by 2030. This is not about catching up in the computing power competition; it's about buying an insurance policy for digital sovereignty. European governments are investing in AI infrastructure as a national strategic asset. (Source: Tech Startups)

German fintech Upvest raised $125 million at a valuation of €640 million. Sapphire Ventures, Tencent, Bessemer, BlackRock participated. The company provides brokerage technology middleware for neobanks like Revolut. As the IPO window warms up, financing in the financial infrastructure layer is accelerating. (Source: Bloomberg)

CLARITY Act stalled in the Senate. Trump's March 8 post called for the SAVE America Act to be prioritized, disagreements over stablecoin yield provisions unresolved. This comprehensive U.S. crypto regulation bill is waiting in line; lobbying at the DC Blockchain Summit these days may or may not accelerate progress. (Source: CoinDesk)

38% of altcoins are trading near cycle lows, liquidity continues to concentrate in Bitcoin. Bitcoin's market cap is approximately $1.33 trillion, Ethereum struggles below $2000. The Bitcoin network mined its 20 millionth coin on March 10th, leaving only 1 million coins until the 21 million cap. (Source: Fortune / MEXC)

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Lecturas Relacionadas

Annual Salary of Millions Competing for Electricians, Meta Rushes to Open Its Own Technical School

The AI boom is facing an unexpected bottleneck: a severe shortage of skilled construction workers and electricians. As tech giants like Meta, OpenAI, and Alphabet race to build massive data centers—such as OpenAI's $16 billion "Stargate" project—they are hitting a critical labor wall. The U.S. needs an estimated 130,000 more electricians, 240,000 construction workers, and 150,000 supervisors by 2030 for AI infrastructure alone, but tens of thousands of electrician jobs go unfilled each year. While AI companies offer high premiums, with electricians earning up to $280,000 annually, worker scarcity still causes massive losses—delays on a single project can cost $14.2 million per month. The complexity of building AI data centers, which require immense power (equivalent to powering hundreds of thousands of homes), sophisticated electrical systems, and advanced liquid cooling solutions, demands highly skilled technicians who are in short supply. To combat this, companies are investing heavily in training. Meta has committed $115 million to a free training school offering tuition, housing, and stipends, targeting 5,000 new workers. OpenAI is partnering with unions to secure skilled labor. These efforts are paying off, with a significant rise in Gen Z interest in trade schools over college. However, the power demands are staggering. AI data centers are driving a rapid surge in electricity consumption, projected to account for up to 12% of U.S. power use by 2028 and raising costs for consumers. Furthermore, the construction boom is project-based, leading to a potential future glut of trained workers once building peaks, which could depress wages industry-wide. The race for AI supremacy now depends as much on skilled hands as on advanced chips.

marsbitHace 27 min(s)

Annual Salary of Millions Competing for Electricians, Meta Rushes to Open Its Own Technical School

marsbitHace 27 min(s)

OpenAI No Longer Sells Its Most Expensive Model for Profit

OpenAI is shifting its business strategy away from promoting its most expensive, flagship models for every task. Recent price cuts—80% for GPT-5.6 Luna and 20% for Terra—signal a deeper change: the company now actively advises users that many tasks don't require the most powerful model. Instead, OpenAI recommends a tiered approach: use the high-end GPT-5.6 Sol for complex planning and analysis, then delegate execution to cheaper models like Luna. This mirrors moves by Anthropic, which recently launched Claude Opus 5 at half the price of its top model, Fable 5. Both companies are de-emphasizing flagship models as primary revenue drivers, using them instead for brand prestige and technological showcases. The industry is entering a "mass-market" phase, similar to automotive, where high-volume, cost-effective models handle daily operations and drive scale. OpenAI's price reductions are partly enabled by AI models themselves optimizing underlying code and infrastructure, creating a self-reinforcing cycle of efficiency gains and cost reduction. Competition is shifting from "who is smartest" to "who offers the best value." The goal is no longer selling individual models but fostering widespread API adoption and ecosystem lock-in. By making AI calls cheap and ubiquitous, companies like OpenAI aim to become the indispensable, utility-like infrastructure powering automated workflows—the "water and electricity" of software, quietly embedded everywhere.

marsbitHace 27 min(s)

OpenAI No Longer Sells Its Most Expensive Model for Profit

marsbitHace 27 min(s)

Will the Fed Definitely Raise Interest Rates in September? How Will Crypto and U.S. Stocks Withstand the Pressure?

The market's expectation for a September Fed rate hike surged dramatically in early August, jumping from under 50% to over 80% within a week. This shift followed a contentious July FOMC meeting, where a 9-3 vote to hold rates revealed growing dissent from hawkish members advocating for an immediate hike to combat persistent inflation. The primary catalyst for this repricing is rising oil prices, driven by renewed geopolitical tensions around the Strait of Hormuz, which threaten global supply. Energy costs directly influence inflation metrics, making the upcoming July CPI report (due August 12th) a critical data point. If it shows inflation reaccelerating, the probability of a September hike will solidify. For Bitcoin and crypto assets, this is typically bearish news. Bitcoin continues to behave as a high-beta, liquidity-sensitive risk asset. A rate hike raises the opportunity cost of holding non-yielding assets and could drive capital toward money markets, pressuring crypto prices in the short term. However, historical patterns suggest that if a hike is perceived as the end of a tightening cycle rather than the start, any negative price impact may be brief. U.S. stocks, particularly crypto-linked equities like Coinbase and growth-oriented tech stocks, are also vulnerable. Higher rates increase discount rates in valuation models, putting pressure on high-multiple companies. This coincides with a pivotal tech earnings season where investor focus has shifted from massive AI capital expenditure to tangible revenue and cash flow generation. Companies with negative cash flow and weak growth narratives could face heightened volatility if borrowing costs rise in September. In summary, a September Fed hike has evolved into a mainstream market scenario. Key factors to watch are oil prices, the July CPI report, and Fed communications, which will determine the final decision and its impact on volatile crypto and equity markets.

marsbitHace 38 min(s)

Will the Fed Definitely Raise Interest Rates in September? How Will Crypto and U.S. Stocks Withstand the Pressure?

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Cómo comprar ID

¡Bienvenido a HTX.com! Hemos hecho que comprar SPACE ID (ID) sea simple y conveniente. Sigue nuestra guía paso a paso para iniciar tu viaje de criptos.Paso 1: crea tu cuenta HTXUtiliza tu correo electrónico o número de teléfono para registrarte y obtener una cuenta gratuita en HTX. Experimenta un proceso de registro sin complicaciones y desbloquea todas las funciones.Obtener mi cuentaPaso 2: ve a Comprar cripto y elige tu método de pagoTarjeta de crédito/débito: usa tu Visa o Mastercard para comprar SPACE ID (ID) al instante.Saldo: utiliza fondos del saldo de tu cuenta HTX para tradear sin problemas.Terceros: hemos agregado métodos de pago populares como Google Pay y Apple Pay para mejorar la comodidad.P2P: tradear directamente con otros usuarios en HTX.Over-the-Counter (OTC): ofrecemos servicios personalizados y tipos de cambio competitivos para los traders.Paso 3: guarda tu SPACE ID (ID)Después de comprar tu SPACE ID (ID), guárdalo en tu cuenta HTX. Alternativamente, puedes enviarlo a otro lugar mediante transferencia blockchain o utilizarlo para tradear otras criptomonedas.Paso 4: tradear SPACE ID (ID)Tradear fácilmente con SPACE ID (ID) en HTX's mercado spot. Simplemente accede a tu cuenta, selecciona tu par de trading, ejecuta tus trades y monitorea en tiempo real. Ofrecemos una experiencia fácil de usar tanto para principiantes como para traders experimentados.

211 Vistas totalesPublicado en 2024.12.12Actualizado en 2026.06.02

Cómo comprar ID

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