What are the biggest AI companies and how much are they worth?

As artificial intelligence (AI) firms push for greater controls on the industry, Al Jazeera unpacks the value of the main companies in the sector.

This combination of pictures shows (from top left) Elon Musk of xA and Tesla, OpenAI CEO Sam Altman, DeepMind co-founder and chairman Demis Hassabis, Meta CEO Mark Zuckerberg, Microsoft CEO Satya Nadella, Anthropic CEO Dario Amodei, Google CEO Sundar Pichai, and Nvidia CEO Jensen Huang [AFP]

A renewed debate has emerged over who should control the development of artificial intelligence (AI).

The latest dispute follows an essay by Anthropic CEO Dario Amodei, who has argued that the development of increasingly powerful AI systems needs to slow down, calling for greater regulation.

US President Donald Trump pushed back, writing on Truth Social that the US already has “tremendous CRIMINAL and REGULATORY power” over AI companies, framing safety concerns as a conspiracy that only benefits China. He went on to say that whoever wins the AI race wins outright.

As states grapple with how to regulate an industry developing at an unprecedented pace, Al Jazeera unpacks the companies driving the AI race and the trillions of dollars behind them.

Chatbots and large language models are only the visible tip of the AI industry. Beneath them sits a much larger ecosystem of hardware, infrastructure, and software.

These companies can be broadly grouped into three categories:

At the foundation of the AI industry are the companies that design and manufacture the physical chips AI runs on, along with the equipment that keeps data centres powered and cooled.

Chip designers such as Nvidia, Marvell, AMD, Broadcom, and Intel.

Chip makers like TSMC, which physically manufacture the designs.

Infrastructure firms such as Arista Networks, Vertiv, and Eaton, which supply the power, cooling, and networking equipment data centres depend on.

These are the companies that turn raw chips into usable computing power, delivering the storage and processing capacity that AI systems run on.

Hyperscalers, including Alphabet (Google Cloud), Microsoft (Azure), Amazon (AWS) and Oracle, which operate large-scale cloud infrastructure, storing data and delivering networking globally.

Neoclouds , such as CoreWeave, Lambda, Crusoe, Nebius, and Nscale, a newer wave of specialised providers built to supply the enormous computing power needed to train AI models.

Software and applications

These are the companies that create the AI products people and businesses actually use.

Frontier AI labs, such as OpenAI, Anthropic, xAI, Google DeepMind and Meta AI develop large language models, with many also building their own compute infrastructure.

Enterprise AI companies, such as Palantir, ServiceNow, Salesforce, and Snowflake, apply AI to automate business operations.

How much are AI companies worth?

The 10 largest public companies operating in the AI space – spanning AI chips, cloud infrastructure, and AI-driven software and services – have a combined market capitalisation of at least $25 trillion.

That’s bigger than the gross domestic product (GDP) of every country except the United States, and larger than the entire Chinese economy.

The graphic below shows the 20 most valuable public companies with direct exposure to AI, ranked by market capitalisation.

Nvidia is the largest AI-focused public company, with a market capitalisation of roughly $5.1 trillion as of mid-September 2026. It designs graphics processing units (GPUs) and AI accelerators – hardware components in a chip that speed up AI workloads – that power leading AI models. It makes its money by selling these chips to hyperscalers and AI companies.

Apple , while primarily a hardware company, has invested heavily in on-device AI features and its market cap of $4.86 trillion makes it one of the most valuable companies with any AI exposure. Its main AI product, Siri AI, launched in 2026 and runs on Google’s Gemini models under a licensing deal.

Taiwan Semiconductor (TSMC) is the world’s largest chip manufacturer, with a market cap of $1.9 trillion. It makes the most advanced chips, designed by the likes of Nvidia, Broadcom, and AMD. It makes its money by manufacturing these chips at enormous scale, and currently controls over 70 percent of the global foundry market.

A security guard walks past a Taiwan Semiconductor Manufacturing Company (TSMC) logo at the Hsinchu Science Park in Hsinchu, Taiwan on July 5, 2023 [Sam Yeh / AFP]

Additionally, several private AI companies are valued in the billions of dollars, with some expected to go public in the coming months.

Anthropic , valued at about $965bn (May 2026), develops the Claude family of AI models. The company filed for an initial public offering (IPO) in June 2026 to sell stocks publicly, and is reportedly targeting a listing as early as October 2026.

OpenAI, valued at about $852bn, develops the GPT models behind ChatGPT. OpenAI filed for an IPO in June 2026, but is now reportedly leaning toward a 2027 listing.

xAI, now merged into SpaceX, develops the Grok family of AI models. At the time of the February 2026 merger, xAI alone was valued at about $250bn.

随着人工智能 (AI) 公司推动对该行业进行更严格的控制，半岛电视台深入剖析了该领域主要公司的价值。

这组图片从左上角开始依次为：xA 和特斯拉的埃隆·马斯克、OpenAI 首席执行官萨姆·奥特曼、DeepMind 联合创始人兼董事长德米斯·哈萨比斯、Meta 首席执行官马克·扎克伯格、微软首席执行官萨蒂亚·纳德拉、Anthropic 首席执行官达里奥·阿莫迪、谷歌首席执行官桑达尔·皮查伊和英伟达首席执行官黄仁勋。[法新社]

关于谁应该控制人工智能（AI）的发展，一场新的争论再次出现。

这场最新的争议源于 Anthropic 首席执行官 Dario Amodei 的一篇文章，他在文章中指出，日益强大的 AI 系统的发展需要放缓，并呼吁加强监管。

美国总统唐纳德·特朗普在Truth Social网站上反驳道，美国已经对人工智能公司拥有“巨大的刑事和监管权力”，并将安全担忧描述为一种阴谋，认为这种阴谋只会让中国受益。他还表示，谁赢得了人工智能竞赛，谁就彻底获胜。

各国都在努力应对如何监管这个以空前速度发展的行业，半岛电视台深入剖析了推动人工智能竞赛的公司及其背后数万亿美元的资金。

聊天机器人和大型语言模型只是人工智能产业的冰山一角。它们背后是一个更为庞大的硬件、基础设施和软件生态系统。

这些公司大致可以分为三类：

人工智能产业的基础是那些设计和制造人工智能运行所需的物理芯片的公司，以及为数据中心供电和冷却的设备公司。

芯片设计公司，例如英伟达、Marvell、AMD、博通和英特尔。

像台积电这样的芯片制造商，负责实际制造这些设计。

像 Arista Networks、Vertiv 和 Eaton 这样的基础设施公司，为数据中心提供电力、冷却和网络设备。

这些公司将原始芯片转化为可用的计算能力，提供人工智能系统运行所需的存储和处理能力。

超大规模云服务商，包括 Alphabet（谷歌云）、微软（Azure）、亚马逊（AWS）和 Oracle，它们运营着大规模云基础设施，在全球范围内存储数据并提供网络服务。

新云（Neoclouds），例如 CoreWeave、Lambda、Crusoe、Nebius 和 Nscale，是新一代的专业云服务提供商，旨在提供训练 AI 模型所需的巨大计算能力。

软件和应用程序

这些公司创造了人们和企业实际使用的AI产品。

OpenAI、Anthropic、xAI、Google DeepMind 和 Meta AI 等前沿人工智能实验室开发大型语言模型，其中许多实验室还构建了自己的计算基础设施。

Palantir、ServiceNow、Salesforce 和 Snowflake 等企业级人工智能公司应用人工智能技术来实现业务运营自动化。

人工智能公司市值多少？

在人工智能领域运营的 10 家最大的上市公司（涵盖人工智能芯片、云基础设施以及人工智能驱动的软件和服务）的总市值至少为 25 万亿美元。

这比除美国以外的所有国家的国内生产总值（GDP）都大，也比整个中国经济规模还要大。

下图显示了市值最高的 20 家直接涉足人工智能领域的上市公司，排名依据是市值。

截至2026年9月中旬，英伟达是全球最大的专注于人工智能的上市企业，市值约为5.1万亿美元。该公司设计图形处理器（GPU）和人工智能加速器——芯片中的硬件组件，用于加速人工智能工作负载——为领先的人工智能模型提供动力。英伟达通过向超大规模数据中心运营商和人工智能公司销售这些芯片来盈利。

苹果公司虽然主要是一家硬件公司，但它在设备端人工智能功能方面投入巨资，其4.86万亿美元的市值使其成为最具价值的人工智能公司之一。其主要人工智能产品Siri AI将于2026年发布，并根据授权协议在谷歌的Gemini模型上运行。

台积电（TSMC）是全球最大的芯片制造商，市值达1.9万亿美元。它生产最先进的芯片，这些芯片由英伟达、博通和AMD等公司设计。台积电通过大规模生产这些芯片盈利，目前控制着全球芯片代工市场70%以上的份额。

2023年7月5日，一名保安走过位于台湾新竹新竹科学园区的台积电（TSMC）标志。[Sam Yeh / AFP]

此外，一些私营人工智能公司的估值高达数十亿美元，预计其中一些公司将在未来几个月内上市。

Anthropic公司估值约为9650亿美元（2026年5月），该公司开发了Claude系列人工智能模型。该公司已于2026年6月提交首次公开募股（IPO）申请，计划最早于2026年10月上市。

OpenAI估值约8520亿美元，开发了ChatGPT背后的GPT模型。OpenAI原计划于2026年6月提交IPO申请，但据报道，该公司目前倾向于在2027年上市。

xAI现已并入SpaceX，该公司开发了Grok系列人工智能模型。在2026年2月合并时，xAI的估值约为2500亿美元。