AI Kills India's Most Profitable Business: 2 Trillion

marsbitPublicado em 2026-06-09Última atualização em 2026-06-09

Resumo

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

Perguntas 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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Como Funciona o SPERO,$$s$? O SPERO,$$s$ emprega uma estrutura multifacetada que o distingue de projetos de criptomoeda convencionais. Aqui estão algumas das características-chave que sublinham a sua singularidade e inovação: Governança Descentralizada: O SPERO,$$s$ integra modelos de governança descentralizada, capacitando os utilizadores a participar ativamente nos processos de tomada de decisão sobre o futuro do projeto. Esta abordagem promove um sentido de propriedade e responsabilidade entre os membros da comunidade. Utilidade do Token: O SPERO,$$s$ utiliza o seu próprio token de criptomoeda, concebido para servir várias funções dentro do ecossistema. Esses tokens permitem transações, recompensas e a facilitação de serviços oferecidos na plataforma, melhorando o envolvimento e a utilidade gerais. Arquitetura em Camadas: A arquitetura técnica do SPERO,$$s$ suporta modularidade e escalabilidade, permitindo a integração contínua de funcionalidades e aplicações adicionais à medida que o projeto evolui. Esta adaptabilidade é fundamental para manter a relevância no panorama cripto em constante mudança. Envolvimento da Comunidade: O projeto enfatiza iniciativas impulsionadas pela comunidade, empregando mecanismos que incentivam a colaboração e o feedback. Ao nutrir uma comunidade forte, o SPERO,$$s$ pode melhor atender às necessidades dos utilizadores e adaptar-se às tendências do mercado. Foco na Inclusão: Ao oferecer taxas de transação baixas e interfaces amigáveis, o SPERO,$$s$ visa atrair uma base de utilizadores diversificada, incluindo indivíduos que anteriormente podem não ter participado no espaço cripto. Este compromisso com a inclusão alinha-se com a sua missão abrangente de empoderamento através da acessibilidade. Cronologia do SPERO,$$s$ Compreender a história de um projeto fornece insights cruciais sobre a sua trajetória de desenvolvimento e marcos. Abaixo está uma cronologia sugerida que mapeia eventos significativos na evolução do SPERO,$$s$: Fase de Conceituação e Ideação: As ideias iniciais que formam a base do SPERO,$$s$ foram concebidas, alinhando-se de perto com os princípios de descentralização e foco na comunidade dentro da indústria blockchain. Lançamento do Whitepaper do Projeto: Após a fase conceitual, um whitepaper abrangente detalhando a visão, os objetivos e a infraestrutura tecnológica do SPERO,$$s$ foi lançado para atrair o interesse e o feedback da comunidade. Construção da Comunidade e Primeiros Envolvimentos: Esforços ativos de divulgação foram feitos para construir uma comunidade de primeiros adotantes e investidores potenciais, facilitando discussões em torno dos objetivos do projeto e angariando apoio. Evento de Geração de Tokens: O SPERO,$$s$ realizou um evento de geração de tokens (TGE) para distribuir os seus tokens nativos a apoiantes iniciais e estabelecer liquidez inicial dentro do ecossistema. Lançamento da dApp Inicial: A primeira aplicação descentralizada (dApp) associada ao SPERO,$$s$ foi lançada, permitindo que os utilizadores interagissem com as funcionalidades principais da plataforma. Desenvolvimento Contínuo e Parcerias: Atualizações e melhorias contínuas nas ofertas do projeto, incluindo parcerias estratégicas com outros players no espaço blockchain, moldaram o SPERO,$$s$ em um jogador competitivo e em evolução no mercado cripto. Conclusão O SPERO,$$s$ é um testemunho do potencial do web3 e das criptomoedas para revolucionar os sistemas financeiros e capacitar indivíduos. Com um compromisso com a governança descentralizada, o envolvimento da comunidade e funcionalidades inovadoras, abre caminho para um panorama financeiro mais inclusivo. Como em qualquer investimento no espaço cripto em rápida evolução, potenciais investidores e utilizadores são incentivados a pesquisar minuciosamente e a envolver-se de forma ponderada com os desenvolvimentos em curso dentro do SPERO,$$s$. O projeto demonstra o espírito inovador da indústria cripto, convidando a uma exploração mais aprofundada das suas inúmeras possibilidades. Embora a jornada do SPERO,$$s$ ainda esteja a desenrolar-se, os seus princípios fundamentais podem, de facto, influenciar o futuro de como interagimos com a tecnologia, as finanças e uns com os outros em ecossistemas digitais interconectados.

69 Visualizações TotaisPublicado em {updateTime}Atualizado em 2024.12.17

O que é $S$

O que é AGENT S

Agent S: O Futuro da Interação Autónoma no Web3 Introdução No panorama em constante evolução do Web3 e das criptomoedas, as inovações estão constantemente a redefinir a forma como os indivíduos interagem com plataformas digitais. Um projeto pioneiro, o Agent S, promete revolucionar a interação humano-computador através do seu framework aberto e agente. Ao abrir caminho para interações autónomas, o Agent S visa simplificar tarefas complexas, oferecendo aplicações transformadoras em inteligência artificial (IA). Esta exploração detalhada irá aprofundar-se nas complexidades do projeto, nas suas características únicas e nas implicações para o domínio das criptomoedas. O que é o Agent S? O Agent S é um framework aberto e agente, especificamente concebido para abordar três desafios fundamentais na automação de tarefas computacionais: Aquisição de Conhecimento Específico de Domínio: O framework aprende inteligentemente a partir de várias fontes de conhecimento externas e experiências internas. Esta abordagem dupla capacita-o a construir um rico repositório de conhecimento específico de domínio, melhorando o seu desempenho na execução de tarefas. Planeamento ao Longo de Longos Horizontes de Tarefas: O Agent S emprega planeamento hierárquico aumentado por experiência, uma abordagem estratégica que facilita a decomposição e execução eficientes de tarefas intrincadas. Esta característica melhora significativamente a sua capacidade de gerir múltiplas subtarefas de forma eficiente e eficaz. Gestão de Interfaces Dinâmicas e Não Uniformes: O projeto introduz a Interface Agente-Computador (ACI), uma solução inovadora que melhora a interação entre agentes e utilizadores. Utilizando Modelos de Linguagem Multimodais de Grande Escala (MLLMs), o Agent S pode navegar e manipular diversas interfaces gráficas de utilizador de forma fluida. Através destas características pioneiras, o Agent S fornece um framework robusto que aborda as complexidades envolvidas na automação da interação humana com máquinas, preparando o terreno para uma infinidade de aplicações em IA e além. Quem é o Criador do Agent S? Embora o conceito de Agent S seja fundamentalmente inovador, informações específicas sobre o seu criador permanecem elusivas. O criador é atualmente desconhecido, o que destaca ou o estágio nascente do projeto ou a escolha estratégica de manter os membros fundadores em anonimato. Independentemente da anonimidade, o foco permanece nas capacidades e no potencial do framework. Quem são os Investidores do Agent S? Como o Agent S é relativamente novo no ecossistema criptográfico, informações detalhadas sobre os seus investidores e financiadores não estão explicitamente documentadas. A falta de informações disponíveis publicamente sobre as fundações de investimento ou organizações que apoiam o projeto levanta questões sobre a sua estrutura de financiamento e roteiro de desenvolvimento. Compreender o apoio é crucial para avaliar a sustentabilidade do projeto e o seu impacto potencial no mercado. Como Funciona o Agent S? No núcleo do Agent S reside uma tecnologia de ponta que lhe permite funcionar eficazmente em diversos ambientes. O seu modelo operacional é construído em torno de várias características-chave: Interação Humano-Computador Semelhante: O framework oferece planeamento avançado em IA, esforçando-se para tornar as interações com computadores mais intuitivas. Ao imitar o comportamento humano na execução de tarefas, promete elevar as experiências dos utilizadores. Memória Narrativa: Utilizada para aproveitar experiências de alto nível, o Agent S utiliza memória narrativa para acompanhar os históricos de tarefas, melhorando assim os seus processos de tomada de decisão. Memória Episódica: Esta característica fornece aos utilizadores orientações passo a passo, permitindo que o framework ofereça suporte contextual à medida que as tarefas se desenrolam. Suporte para OpenACI: Com a capacidade de funcionar localmente, o Agent S permite que os utilizadores mantenham o controlo sobre as suas interações e fluxos de trabalho, alinhando-se com a ética descentralizada do Web3. Fácil Integração com APIs Externas: A sua versatilidade e compatibilidade com várias plataformas de IA garantem que o Agent S possa integrar-se perfeitamente em ecossistemas tecnológicos existentes, tornando-o uma escolha apelativa para desenvolvedores e organizações. Estas funcionalidades contribuem coletivamente para a posição única do Agent S no espaço cripto, à medida que automatiza tarefas complexas e em múltiplos passos com mínima intervenção humana. À medida que o projeto evolui, as suas potenciais aplicações no Web3 podem redefinir a forma como as interações digitais se desenrolam. Cronologia do Agent S O desenvolvimento e os marcos do Agent S podem ser encapsulados numa cronologia que destaca os seus eventos significativos: 27 de Setembro de 2024: O conceito de Agent S foi lançado num artigo de pesquisa abrangente intitulado “Um Framework Agente Aberto que Usa Computadores como um Humano”, mostrando a base para o projeto. 10 de Outubro de 2024: O artigo de pesquisa foi disponibilizado publicamente no arXiv, oferecendo uma exploração aprofundada do framework e da sua avaliação de desempenho com base no benchmark OSWorld. 12 de Outubro de 2024: Uma apresentação em vídeo foi lançada, proporcionando uma visão visual das capacidades e características do Agent S, envolvendo ainda mais potenciais utilizadores e investidores. Estes marcos na cronologia não apenas ilustram o progresso do Agent S, mas também indicam o seu compromisso com a transparência e o envolvimento da comunidade. Pontos-Chave Sobre o Agent S À medida que o framework Agent S continua a evoluir, várias características-chave destacam-se, sublinhando a sua natureza inovadora e potencial: Framework Inovador: Concebido para proporcionar um uso intuitivo de computadores semelhante à interação humana, o Agent S traz uma abordagem nova à automação de tarefas. Interação Autónoma: A capacidade de interagir autonomamente com computadores através de GUI significa um avanço em direção a soluções computacionais mais inteligentes e eficientes. Automação de Tarefas Complexas: Com a sua metodologia robusta, pode automatizar tarefas complexas e em múltiplos passos, tornando os processos mais rápidos e menos propensos a erros. Melhoria Contínua: Os mecanismos de aprendizagem permitem que o Agent S melhore a partir de experiências passadas, aprimorando continuamente o seu desempenho e eficácia. Versatilidade: A sua adaptabilidade em diferentes ambientes operacionais, como OSWorld e WindowsAgentArena, garante que pode servir uma ampla gama de aplicações. À medida que o Agent S se posiciona no panorama do Web3 e das criptomoedas, o seu potencial para melhorar as capacidades de interação e automatizar processos significa um avanço significativo nas tecnologias de IA. Através do seu framework inovador, o Agent S exemplifica o futuro das interações digitais, prometendo uma experiência mais fluida e eficiente para os utilizadores em diversas indústrias. Conclusão O Agent S representa um ousado avanço na união da IA e do Web3, com a capacidade de redefinir a forma como interagimos com a tecnologia. Embora ainda esteja nas suas fases iniciais, as possibilidades para a sua aplicação são vastas e cativantes. Através do seu framework abrangente que aborda desafios críticos, o Agent S visa trazer interações autónomas para o primeiro plano da experiência digital. À medida que avançamos mais profundamente nos domínios das criptomoedas e da descentralização, projetos como o Agent S desempenharão, sem dúvida, um papel crucial na formação do futuro da tecnologia e da colaboração humano-computador.

673 Visualizações TotaisPublicado em {updateTime}Atualizado em 2025.01.14

O que é AGENT S

Como comprar S

Bem-vindo à HTX.com!Tornámos a compra de Sonic (S) 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 Sonic (S) 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 Sonic (S)Depois de comprar o teu Sonic (S), 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 Sonic (S)Transaciona facilmente Sonic (S) 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.

1.2k Visualizações TotaisPublicado em {updateTime}Atualizado em 2026.06.02

Como comprar S

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 S (S) são apresentadas abaixo.

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