AI Kills India's Most Profitable Business: 2 Trillion

marsbitPublicado a 2026-06-09Actualizado a 2026-06-09

Resumen

The article discusses the significant impact of AI on India's IT outsourcing industry, a sector that has been the backbone of the country's economic growth for three decades. On June 3, India's IT stock index plunged 5.8%, with major firms like TCS, Infosys, and Wipro seeing sharp declines. The panic stems from the realization that AI tools capable of coding, testing, documentation, and customer service directly threaten India's core business model of selling programmer hours. The industry, which generated approximately $282 billion in revenue in the 2025 fiscal year with nearly 80% from exports, faces an existential challenge. The traditional growth logic—more projects requiring more engineers—is being dismantled. Estimates suggest AI could reduce development teams from 100 people to just 2-3 for certain tasks, slashing project costs and company profit margins. Consequently, leading firms have begun reducing headcounts, a reversal of a decades-long trend, and entry-level job openings have plummeted. The risk is profound as IT services account for over 7% of India's GDP and support millions of jobs. With high youth unemployment, the AI-driven reduction in low-to-mid-level engineering roles poses a severe socio-economic threat. However, India also shows potential to adapt and lead in the AI era. Reports indicate it has the world's highest rates of AI tool adoption among employees and managers. Major IT firms are rapidly deploying enterprise AI solutions like Microsoft Copil...

On June 3rd, India's IT sector crashed.

TCS plummeted 9%, Infosys fell 4.3%, and Wipro dropped 3.7%. India's IT index fell 5.8% in a single day, setting a four-month record for the largest decline.

It wasn't a bad earnings report or a sudden policy change. The only two words that sent the market into a panic: AI.

Over the past year, the world's attention has been focused on the US and China — with OpenAI, Anthropic, and DeepSeek taking turns in the spotlight. But AI's first major blow has landed on India.

If AI can really write code, perform testing, create documentation, and handle customer service, what will happen to the country most dependent on 'selling programmers' to the world?

India is the answer.

Multiple industry insiders told Pencil News: this dramatic change suddenly accelerated in the second half of 2025, marked by the emergence of Agentic AI. AI can help complete 70% to 80% of the work for a SaaS software.

Kouting Intelligence, an AI programming company that has raised three rounds of funding, told Pencil News: "The impact of AI programming on the IT outsourcing economy is not an 'influence', but potentially a 'killer blow'.

01

30 Years of National Fortune, Hinged on a Line of Code

A single industry has sustained India for 30 years.

Many don't know that India's most profitable industry is not manufacturing, nor is it the internet. It's IT outsourcing.

According to data from the National Association of Software and Service Companies (NASSCOM), in the 2025 fiscal year, India's technology industry's total revenue reached approximately $282.6 billion (about ¥2 trillion), of which IT service revenue was about $137 billion, accounting for nearly half of the entire industry.

More importantly, exports. In FY 2025, India's technology industry's export revenue reached $224 billion, representing nearly 80% of total revenue.

What does this mean? Simply put, one of India's most lucrative businesses is working for American and European companies.

Kedi Chuhai CEO Luan Tianyi cut to the essence: "Software outsourcing is essentially 'selling people'. Charging by headcount and man-hours, very similar to the construction industry."

Over the past 30 years, India has almost rewritten its national fortune with this single industry. American companies need software development, European banks need system maintenance, Global 500 companies need digital transformation. What to do? Send the work to India, which then organizes thousands upon thousands of engineers to take the orders.

Thus, a classic model formed: more clients, more projects, more engineers, higher revenue.

Today, India's major leading IT service companies are representatives of this model.

In FY 2025, TCS's annual revenue exceeded $30 billion, with a workforce approaching 600,000; Infosys's annual revenue was about $19.3 billion, with over 320,000 employees; Wipro's annual revenue was about $10.5 billion, with over 230,000 employees.

Just these three companies alone have over 1.15 million employees.

Revenue and Employee Scale of India's IT Big Three (FY 2025) Source: NASSCOM

More importantly, the growth logic of these companies has long been highly consistent: hire more engineers, take on more projects, earn more revenue. For decades, an important metric for capital markets evaluating Indian IT companies was not AI capability, but employee headcount.

According to Reuters data, the scale of India's IT industry has reached approximately $283 billion. Many international investors even call India: "The World's Back Office".

But this logic is changing. A key factor, related to AI: the IT outsourcing business is being dismantled by AI programming.

Su Wen said: "New technologies rarely kill directly in existing markets. A more common way is: in emerging markets, making you completely unqualified to participate. Like the person specialized in catching the ball under the basketball hoop, does that position still exist? No matter how good you are at catching, it's meaningless now."

02

Single-Day 5.8% Plunge: Capital is Voting with its Feet

Therefore, the capital market is starting to worry about one thing.

This past February, India's IT sector evaporated $22.5 billion (about ¥160 billion) in market value in one week. The market at the time thought it was an overreaction. But by June, panic reappeared.

On June 3, India's IT index plunged 5.8% in a single day, the biggest drop in 4 months; India's largest software exporter TCS plummeted 9%, Infosys fell 4.3%, Wipro dropped 3.7%.

TCS Headquarters Building Source: Forbes India

More notably, this is no longer an isolated incident. As of early June, India's IT index has fallen 22% cumulatively so far in 2026; while it fell 26% for the entirety of 2025. In other words, this star sector that once supported India's economic growth has been one of the worst-performing industries in the market for two consecutive years.

India's IT Index Plunges for Two Consecutive Years Source: Economic Times

The reason is simple. More and more investment institutions are realizing: what AI is replacing is precisely India's core business. Such as writing code, testing software, operations support, documentation, customer service support. These tasks used to require a large number of engineers, but now more and more companies are starting to try letting AI handle them.

What's more terrifying is that the capital market is not worried about "all programmers becoming unemployed." Rather, it's that: India's most profitable business model will become obsolete.

The past logic was: a client has a project, an Indian company sends 100 people, earns money for 100 people. The future may become: a client has a project, AI completes 80% of the work, only 20 people are needed.

Kouting Intelligence, an AI programming company that has raised three rounds of funding, provided Pencil News with a set of data: a development team that needed 100 people in the past can now be completed by 2-3 people; an e-commerce website that might have cost hundreds of thousands or even millions to develop can now have its cost compressed to $6-8.

Even more frightening is the average order value. "The average order value for software development companies may face a 70%-90% decline," Su Wen told Pencil News.

Brokerage research reports show that the overall net profit margin of the software outsourcing industry has dropped from nearly 10% to about 0.1% (not specifically referring to India). This means the profit margins of Indian IT companies are being squeezed out by AI.

The global perspective is even more staggering.

Mordor Intelligence data shows that the global IT outsourcing market size in 2025 was about $618 billion. Of this, about 40%-60% relies on labor-intensive delivery, roughly $250 billion to $450 billion — about ¥3 trillion — facing the risk of being directly replaced or having prices slashed by AI.

Global IT Outsourcing Market AI Substitution Risk (2025) Source: Mordor Intelligence

For a $280 billion industry, this is a nuclear-level alarm.

03

Leading Companies are Laying Off

More dangerous signals are emerging.

If it were just stock prices falling, it wouldn't be a big deal. What is truly noteworthy is hiring. More direct changes are already appearing in the headcounts of leading companies.

Su Wen's judgment is more radical: "A 20x reduction in engineering personnel is the bare minimum."

The judgment of veteran programmer Meisi, with over ten years of experience at large companies, is similar: "The future trend is a 10:1 compression. An engineering team of two to three thousand people might ultimately need only two to three hundred."

India's largest IT service company, TCS, had a total employee count of about 607,000 in FY 2025, a decrease of about 13,000 compared to the previous fiscal year. Infosys's total employee count was about 324,000, a year-on-year decrease of about 15,000.

This is a rare phenomenon in India's IT industry over many past years. For 30 years, the headcounts of these companies have almost only increased. Growth was the norm, contraction the exception. And today, this 30-year growth curve is turning downward.

ANSR Founder & CEO Lalit Ahuja stated plainly: "There is an air of caution in the market, companies are reducing their hiring numbers."

The entire Indian tech sector's hiring market is shrinking sharply. In June 2026, active tech job openings in India had fallen to 93,000, the lowest point in 28 months. Job openings for technical positions with less than 2 years of experience plummeted 44% year-on-year — nearly half of the entry-level positions vanished.

Su Wen explained the logic behind it: "Development with a complexity score of 4 or below can be completely replaced. A team that needed 100 people before now only needs 2-3."

In past growth cycles, increased projects often meant increased hiring; now, revenue growth and employee growth are gradually decoupling.

The biggest worry for Indian tech companies used to be: not enough people. Today, they are starting to wonder: are there too many people?

When leaders like TCS and Infosys simultaneously start "downsizing," the direction of an era has already changed.

04

India Hit in the Heart by AI

Why is India in more danger than others?

Because what AI has hit in India is not a peripheral industry, but a core industry.

Take a simple example. If AI impacts an e-commerce company, the effect is limited. If AI impacts the advertising industry, the effect is limited. But India is different; IT services are one of India's most important export industries. India's IT industry's total revenue has surpassed $315 billion, accounting for over 7% of India's GDP, employing over 6 million people. Behind these 6 million people are 6 million families, the livelihoods of tens of millions.

More importantly, this is not an isolated industry. IT outsourcing supports India's training industry, real estate industry (office buildings and residences in Bangalore, Hyderabad), service industry, and education industry. One IT job supports at least 3-5 related jobs. This means the impact of AI on the IT industry could ultimately affect the employment ecosystem of 20 to 30 million people in India.

And India itself faces an even harsher reality. Reuters data shows: India's urban youth unemployment rate remains high at 13.6%.

Huge numbers of young people are already looking for jobs. The unemployment rate for Indian university graduates has soared to 29.1%, with 40% of young graduates under 25 unable to find work. Over 1.5 million computer science graduates flood the job market every year, but only 42.6% meet the employable standards of companies.

Now AI is starting to squeeze employment further. Employment pressure + skill mismatch + AI substitution — these are not three separate problems, but a mutually reinforcing death spiral.

Su Wen put it bluntly: "The new market is already bypassing you. You're not losing to peers; this segment is being erased by technology."

An Everest Group analyst stated plainly: "AI will no longer require L1 and L2 level engineers." And these L1 and L2 engineers are precisely the foundation of India's IT industry, the first stop for the 1.5 million annual computer graduates, the entry point for millions of families to change their fortunes.

05

India's Opportunity: 80% of Employees Use AI, Ranked First Globally

Of course, India could also become the biggest winner.

The story isn't over. Because India has another set of data.

According to Boston Consulting Group's (BCG) latest "AI at Work 2026" report, India has become one of the most proactive countries globally in AI application, ranking first worldwide in employee and manager AI adoption rates.

Another survey by ADP, covering 34 countries, "People at Work 2026," shows: 80% of Indian employees use AI tools multiple times a week; 41% of Indian employees use AI daily; the global averages are only 50% and 20% respectively.

That means: globally, on average, about 1 in 5 people use AI daily; but in India, about 2 in 5 people use AI daily.

India vs Global AI Usage Comparison Source: BCG/ADP 2026

Not only are employees using it, but companies are also deploying it on a large scale. At the end of May, Microsoft disclosed a set of data: TCS, Infosys, and Wipro have each deployed over 100,000 Microsoft 365 Copilot licenses; the combined deployment scale of the three companies exceeds 300,000 seats, referred to by Microsoft as one of the world's largest enterprise-grade AI deployment cases.

In other words, two things are happening simultaneously in India: on one side, AI is impacting traditional outsourcing jobs; on the other side, AI is penetrating enterprises at an unprecedented rate.

This is also why Microsoft's India head recently stated publicly: India has become one of the fastest-growing AI markets globally.

06

The New Paradigm

What might the new paradigm for IT outsourcing in India be?

In fact, while the capital market is still worried about India's IT outsourcing model being dismantled by AI, India's largest tech companies have already started looking for new ways to make money: no longer selling engineers, but selling AI productivity.

The most typical is TCS. In Q1 2026, TCS disclosed that its annualized order book for AI-related business has reached $2.3 billion, up from $1.8 billion the previous quarter — a growth of about 28% in one quarter.

At the same time, TCS's new order wins for the quarter reached $12 billion, still maintaining a historical high. This indicates an interesting phenomenon: clients have not stopped spending money, only the way they spend it has changed.

In the past, clients bought 100 programmers. Today, clients buy AI solutions, Agent systems, and automation capabilities.

Many people think India's biggest future opportunity is to emulate the US and create something like Cursor. But a mainstream view is: India's real opportunity lies in becoming the world's largest AI implementation center.

In foundational models, the US already has a batch of monopolistic-level companies: OpenAI, Anthropic, Google, Meta, etc. But models are just the beginning; the real complexity lies in implementation.

As of 2026, India already has over 2,100 Global Capability Centers (GCCs), serving multinationals like Microsoft, JPMorgan Chase, Goldman Sachs, Walmart, Pfizer, generating about $100 billion in revenue and directly employing over 2.36 million people.

These Global Capability Centers essentially undertake: software development, system integration, enterprise digitization, data management, IT operations, etc. These tasks require massive engineering implementation capabilities, which is precisely the area where India has accumulated its deepest expertise over the past 30 years.

According to IDC predictions, by 2028, global enterprise AI spending will exceed $630 billion. And India's biggest opportunity may not be to compete in the model market, but to compete in the deployment market.

If for the past 30 years, India exported engineers to the world. Then for the next 10 years, India might export to the world: Agent deployment capabilities, AI operations capabilities, and AI productivity.

Perhaps, this is India's true new paradigm.

This article is from WeChat public account "Pencil News" (ID: pencilnews), author: Aiyu, editor: Wang Fang

Preguntas relacionadas

QWhat was the main reason for the sudden drop in India's IT stock index on June 3rd?

AThe main reason was the growing panic over the impact of Artificial Intelligence (AI). The market is concerned that AI's ability to write code, perform testing, handle customer service, and other tasks will significantly disrupt India's core IT outsourcing business model, which relies heavily on selling programmer hours.

QAccording to the article, why is the Indian IT services industry particularly vulnerable to AI disruption?

AThe Indian IT services industry is particularly vulnerable because AI directly targets its core business model. This industry, which generates over $2 trillion in revenue and accounts for a large portion of India's exports and GDP, primarily makes money by providing human-intensive services like coding and software maintenance. AI threatens to drastically reduce the number of engineers needed for projects, thereby undermining the traditional 'sell people by the hour' revenue model.

QWhat data does the article present to show that traditional IT outsourcing jobs in India are already declining?

AThe article presents several data points: 1) Headcount reductions at major firms like TCS (down ~13,000 employees) and Infosys (down ~15,000 employees) in the 2025 fiscal year. 2) A sharp drop in active tech job openings in India to 93,000, a 28-month low, with entry-level job postings for workers with less than 2 years of experience plummeting by 44%. This indicates a reversal of the decades-long trend of constant hiring growth in the sector.

QDespite the challenges, what potential opportunity does AI present for India according to the article?

AThe article suggests that India's opportunity lies in becoming the world's largest AI implementation and deployment center. Instead of competing to build foundational AI models (like the US), India can leverage its decades of experience in IT services and its vast network of Global Capability Centers (GCCs) to specialize in deploying AI solutions, managing Agent systems, and providing AI-powered productivity services for global enterprises.

QWhat evidence does the article provide to show that India is aggressively adopting AI within its workforce?

AThe article cites surveys showing India leads globally in AI adoption rates among employees. According to the 'People at Work 2026' survey, 80% of Indian employees use AI tools multiple times a week, and 41% use them daily—far above the global averages of 50% and 20%, respectively. Furthermore, major Indian IT firms like TCS, Infosys, and Wipro have collectively deployed over 300,000 licenses for Microsoft 365 Copilot, representing one of the world's largest enterprise AI rollouts.

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Enfoque en la Inclusión: Al ofrecer tarifas de transacción bajas e interfaces amigables para el usuario, SPERO,$$s$ busca atraer a una base de usuarios diversa, incluyendo a individuos que anteriormente pueden no haber participado en el espacio cripto. Este compromiso con la inclusión se alinea con su misión general de empoderamiento a través de la accesibilidad. Cronología de SPERO,$$s$ Entender la historia de un proyecto proporciona información crucial sobre su trayectoria de desarrollo y hitos. A continuación se presenta una cronología sugerida que mapea eventos significativos en la evolución de SPERO,$$s$: Fase de Conceptualización e Ideación: Las ideas iniciales que forman la base de SPERO,$$s$ fueron concebidas, alineándose estrechamente con los principios de descentralización y enfoque comunitario dentro de la industria blockchain. Lanzamiento del Whitepaper del Proyecto: Tras la fase conceptual, se lanzó un whitepaper completo que detalla la visión, los objetivos y la infraestructura tecnológica de SPERO,$$s$ para generar interés y retroalimentación de la comunidad. Construcción de Comunidad y Primeras Interacciones: Se realizaron esfuerzos de divulgación activa para construir una comunidad de primeros adoptantes y posibles inversores, facilitando discusiones en torno a los objetivos del proyecto y obteniendo apoyo. Evento de Generación de Tokens: SPERO,$$s$ llevó a cabo un evento de generación de tokens (TGE) para distribuir sus tokens nativos a los primeros seguidores y establecer liquidez inicial dentro del ecosistema. Lanzamiento de la dApp Inicial: La primera aplicación descentralizada (dApp) asociada con SPERO,$$s$ se puso en marcha, permitiendo a los usuarios interactuar con las funcionalidades centrales de la plataforma. Desarrollo Continuo y Alianzas: Actualizaciones y mejoras continuas a las ofertas del proyecto, incluyendo alianzas estratégicas con otros actores en el espacio blockchain, han moldeado a SPERO,$$s$ en un jugador competitivo y en evolución en el mercado cripto. Conclusión SPERO,$$s$ se erige como un testimonio del potencial de web3 y las criptomonedas para revolucionar los sistemas financieros y empoderar a los individuos. Con un compromiso con la gobernanza descentralizada, la participación comunitaria y funcionalidades diseñadas de manera innovadora, allana el camino hacia un paisaje financiero más inclusivo. Como con cualquier inversión en el espacio cripto que evoluciona rápidamente, se anima a los posibles inversores y usuarios a investigar a fondo y participar de manera reflexiva con los desarrollos en curso dentro de SPERO,$$s$. El proyecto muestra el espíritu innovador de la industria cripto, invitando a una mayor exploración de sus innumerables posibilidades. Mientras el viaje de SPERO,$$s$ aún se desarrolla, sus principios fundamentales pueden, de hecho, influir en el futuro de cómo interactuamos con la tecnología, las finanzas y entre nosotros en ecosistemas digitales interconectados.

72 Vistas totalesPublicado en 2024.12.17Actualizado en 2024.12.17

Qué es $S$

Qué es AGENT S

Agent S: El Futuro de la Interacción Autónoma en Web3 Introducción En el paisaje en constante evolución de Web3 y las criptomonedas, las innovaciones están redefiniendo constantemente cómo los individuos interactúan con las plataformas digitales. Uno de estos proyectos pioneros, Agent S, promete revolucionar la interacción humano-computadora a través de su marco agente abierto. Al allanar el camino para interacciones autónomas, Agent S busca simplificar tareas complejas, ofreciendo aplicaciones transformadoras en inteligencia artificial (IA). Esta exploración detallada profundizará en las complejidades del proyecto, sus características únicas y las implicaciones para el dominio de las criptomonedas. ¿Qué es Agent S? Agent S se presenta como un marco agente abierto innovador, diseñado específicamente para abordar tres desafíos fundamentales en la automatización de tareas informáticas: Adquisición de Conocimiento Específico del Dominio: El marco aprende inteligentemente de diversas fuentes de conocimiento externas y experiencias internas. Este enfoque dual le permite construir un rico repositorio de conocimiento específico del dominio, mejorando su rendimiento en la ejecución de tareas. Planificación a Largo Plazo de Tareas: Agent S emplea planificación jerárquica aumentada por la experiencia, un enfoque estratégico que facilita la descomposición y ejecución eficiente de tareas complejas. Esta característica mejora significativamente su capacidad para gestionar múltiples subtareas de manera eficiente y efectiva. Manejo de Interfaces Dinámicas y No Uniformes: El proyecto introduce la Interfaz Agente-Computadora (ACI), una solución innovadora que mejora la interacción entre agentes y usuarios. Utilizando Modelos de Lenguaje Multimodal de Gran Escala (MLLMs), Agent S puede navegar y manipular diversas interfaces gráficas de usuario sin problemas. A través de estas características pioneras, Agent S proporciona un marco robusto que aborda las complejidades involucradas en la automatización de la interacción humana con las máquinas, preparando el terreno para una multitud de aplicaciones en IA y más allá. ¿Quién es el Creador de Agent S? Si bien el concepto de Agent S es fundamentalmente innovador, la información específica sobre su creador sigue siendo elusiva. El creador es actualmente desconocido, lo que resalta ya sea la etapa incipiente del proyecto o la elección estratégica de mantener a los miembros fundadores en el anonimato. Independientemente de la anonimidad, el enfoque sigue siendo en las capacidades y el potencial del marco. ¿Quiénes son los Inversores de Agent S? Dado que Agent S es relativamente nuevo en el ecosistema criptográfico, la información detallada sobre sus inversores y patrocinadores financieros no está documentada explícitamente. La falta de información disponible públicamente sobre las bases de inversión u organizaciones que apoyan el proyecto plantea preguntas sobre su estructura de financiamiento y hoja de ruta de desarrollo. Comprender el respaldo es crucial para evaluar la sostenibilidad del proyecto y su posible impacto en el mercado. ¿Cómo Funciona Agent S? En el núcleo de Agent S se encuentra una tecnología de vanguardia que le permite funcionar de manera efectiva en diversos entornos. Su modelo operativo se basa en varias características clave: Interacción Humano-Computadora Similar a la Humana: El marco ofrece planificación avanzada de IA, esforzándose por hacer que las interacciones con las computadoras sean más intuitivas. Al imitar el comportamiento humano en la ejecución de tareas, promete elevar las experiencias de los usuarios. Memoria Narrativa: Empleada para aprovechar experiencias de alto nivel, Agent S utiliza memoria narrativa para hacer un seguimiento de las historias de tareas, mejorando así sus procesos de toma de decisiones. Memoria Episódica: Esta característica proporciona a los usuarios una guía paso a paso, permitiendo que el marco ofrezca apoyo contextual a medida que se desarrollan las tareas. Soporte para OpenACI: Con la capacidad de ejecutarse localmente, Agent S permite a los usuarios mantener el control sobre sus interacciones y flujos de trabajo, alineándose con la ética descentralizada de Web3. Fácil Integración con APIs Externas: Su versatilidad y compatibilidad con varias plataformas de IA aseguran que Agent S pueda encajar sin problemas en ecosistemas tecnológicos existentes, convirtiéndolo en una opción atractiva para desarrolladores y organizaciones. Estas funcionalidades contribuyen colectivamente a la posición única de Agent S dentro del espacio cripto, ya que automatiza tareas complejas y de múltiples pasos con una intervención humana mínima. A medida que el proyecto evoluciona, sus posibles aplicaciones en Web3 podrían redefinir cómo se desarrollan las interacciones digitales. Cronología de Agent S El desarrollo y los hitos de Agent S pueden encapsularse en una cronología que resalta sus eventos significativos: 27 de septiembre de 2024: El concepto de Agent S fue lanzado en un documento de investigación integral titulado “Un Marco Agente Abierto que Usa Computadoras Como un Humano”, mostrando las bases del proyecto. 10 de octubre de 2024: El documento de investigación fue puesto a disposición del público en arXiv, ofreciendo una exploración profunda del marco y su evaluación de rendimiento basada en el benchmark OSWorld. 12 de octubre de 2024: Se lanzó una presentación en video, proporcionando una visión visual de las capacidades y características de Agent S, involucrando aún más a posibles usuarios e inversores. Estos marcadores en la cronología no solo ilustran el progreso de Agent S, sino que también indican su compromiso con la transparencia y la participación comunitaria. Puntos Clave Sobre Agent S A medida que el marco Agent S continúa evolucionando, varios atributos clave destacan, subrayando su naturaleza innovadora y potencial: Marco Innovador: Diseñado para proporcionar un uso intuitivo de las computadoras similar a la interacción humana, Agent S aporta un enfoque novedoso a la automatización de tareas. Interacción Autónoma: La capacidad de interactuar de manera autónoma con las computadoras a través de GUI significa un salto hacia soluciones informáticas más inteligentes y eficientes. Automatización de Tareas Complejas: Con su metodología robusta, puede automatizar tareas complejas y de múltiples pasos, haciendo que los procesos sean más rápidos y menos propensos a errores. Mejora Continua: Los mecanismos de aprendizaje permiten a Agent S mejorar a partir de experiencias pasadas, mejorando continuamente su rendimiento y eficacia. Versatilidad: Su adaptabilidad en diferentes entornos operativos como OSWorld y WindowsAgentArena asegura que pueda servir a una amplia gama de aplicaciones. A medida que Agent S se posiciona en el paisaje de Web3 y criptomonedas, su potencial para mejorar las capacidades de interacción y automatizar procesos significa un avance significativo en las tecnologías de IA. A través de su marco innovador, Agent S ejemplifica el futuro de las interacciones digitales, prometiendo una experiencia más fluida y eficiente para los usuarios en diversas industrias. Conclusión Agent S representa un audaz avance en la unión de la IA y Web3, con la capacidad de redefinir cómo interactuamos con la tecnología. Aunque aún se encuentra en sus primeras etapas, las posibilidades para su aplicación son vastas y atractivas. A través de su marco integral que aborda desafíos críticos, Agent S busca llevar las interacciones autónomas al primer plano de la experiencia digital. A medida que nos adentramos más en los reinos de las criptomonedas y la descentralización, proyectos como Agent S sin duda desempeñarán un papel crucial en la configuración del futuro de la tecnología y la colaboración humano-computadora.

477 Vistas totalesPublicado en 2025.01.14Actualizado en 2025.01.14

Qué es AGENT S

Cómo comprar S

¡Bienvenido a HTX.com! Hemos hecho que comprar Sonic (S) 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 Sonic (S) 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 Sonic (S)Después de comprar tu Sonic (S), guárdalo en tu cuenta HTX. Alternativamente, puedes enviarlo a otro lugar mediante transferencia blockchain o utilizarlo para tradear otras criptomonedas.Paso 4: tradear Sonic (S)Tradear fácilmente con Sonic (S) 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.

969 Vistas totalesPublicado en 2025.01.15Actualizado en 2026.06.02

Cómo comprar S

Discusiones

Bienvenido a la comunidad de HTX. Aquí puedes mantenerte informado sobre los últimos desarrollos de la plataforma y acceder a análisis profesionales del mercado. A continuación se presentan las opiniones de los usuarios sobre el precio de S (S).

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