The debate about who should control the development of artificial intelligence has reignited. As states grapple with how to regulate an industry that’s evolving at an unprecedented rate, we analyze the companies leading the race and the trillions of dollars behind them.
The latest dispute followed an essay by the CEO of Anthropic, Dario Amodei, who claims that the development of increasingly powerful systems must be slowed down and calls for mechanical regulation. US President Donald Trump rejected those claims and wrote on the Truth Social platform that security concerns are a conspiracy that only benefits China.
“The US already has incredible criminal and regulatory power over companies in this sector,” Trump said in his announcement, adding that the winner in the race for new technology ultimately takes all.
Who’s who in the world of artificial intelligence
Chatbots and large language models are only the visible top of the industry. Beneath them is a much larger ecosystem of hardware, infrastructure and software. The global market in 2026 reached a value of 514.5 billion dollars, which represents an increase of 19 percent compared to the previous year. We can roughly divide these powerful companies into three categories.
Hardware as a foundation
At the very bottom of the industry are the companies that design and manufacture the physical chips on which the technology runs, along with the equipment that powers and cools the data centers. The designers of čips are companies like Nvidia, AMD and Intel. Chip manufacturers, such as TSMC, physically manufacture these designs. Infrastructure companies provide the power and cooling equipment that all data centers around the world depend on.
Clouds in the rainbow
These are companies that turn raw IPs into usable computing power, and deliver data storage and processing capacity. Among them are giants like Alphabet, Microsoft and Amazon that manage large cloud infrastructures. There is also a new wave of specialized service providers built solely to supply the massive computing power needed to train large models.
Software and applications
These are companies that create products that people and businesses actually use. Leading laboratories such as OpenAI, Anthropic, Google DeepMind and Meta AI are developing large language models, and many of them are also building their own computing infrastructure. Businesses like Palantir and Salesforce apply these models to automate day-to-day business operations.
Market value of technological giants
The ten largest public companies operating in this space have a combined market capitalization of at least $25 trillion. That is more than the gross domestic product of every country in the world except the United States of America and more than the entire Chinese economy.
Nvidia is the largest public company focused on this sector, with a market capitalization of approximately $5.1 trillion as of mid-September 2026. The company designs graphics processors and accelerators that drive leading models. He makes money by selling these chips to tech giants.
Apple is primarily a hardware company, but it has invested heavily in smart features on the devices themselves. Its market capitalization of $4.86 trillion makes it one of the most valuable companies exposed to this sector. Its flagship product, Siri AI, was launched in 2026 and runs on Google’s Gemini models under a licensing agreement. Adoption of technology in the market is becoming more and more widespread, and 72 percent of companies globally have more actively uses generative tools.
Taiwan Semiconductor is the world’s largest manufacturer of It has a market capitalization of 1.9 trillion dollars. It produces the most advanced chips designed by Nvidia, Broadcom and AMD. It makes money through mass production and currently controls more than 70 percent of the global market.
Private companies on the rise
Several private companies are valued at billions of dollars, and some are planning to go public in the coming months. Anthropic, valued at approximately $965 billion, is developing the Claude model family. The company filed for an initial public offering in June 2026.
OpenAI, valued at around $852 billion, develops the models behind its popular ChatGPT tool. They have also applied for an IPO, but are now leaning towards listing in 2027.
The company xAI, which merged with SpaceX, develops the Grok models. At the time of the merger in February 2026, xAI alone was valued at around $250 billion.