China is focusing on large language models (LLMs) in the artificial intelligence space.
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China is embracing open-source AI models in a trend market watchers and insiders say is boosting AI adoption and innovation in the country, with some suggesting it is an ‘Android moment’ for the sector.
The open-source shifthas been spearheaded by AI startup DeepSeek, whose R1 model released earlier this year challenged American tech dominance and raised questions over Big Tech’s massive spending on large language models and data centers.
While R1 created a splash in the sector due to its performance and claims of lower costs, some analysts say the most significant impact of DeepSeek has been in catalyzing the adoption of open-source AI models.
“DeepSeek’s success proves that open-source strategies can lead to faster innovation and broad adoption,” said Wei Sun, principal analyst of artificial intelligence at Counterpoint Research, noting a large number of firms have implemented the model.
“Now, we see that R1 is actively reshaping China’s AI landscape, with large companies like Baidu moving to open source their own LLMs in a strategic response,” she added.
On March 16, Baidu released the latest version of its AI model, Ernie 4.5, as well as a new reasoning model, Ernie X1, making them free for individual users. Baidu also plans to make the Ernie 4.5 model series open-source from end-June.
Experts say that Baidu’s open-source plans represent a broader shift in China, away from a business strategy that focuses on proprietary licensing.
“Baidu has always been very supportive of its proprietary business model and was vocal against open-source, but disruptors like DeepSeek have proven that open-source models can be as competitive and reliable as proprietary ones,” Lian Jye Su, chief analyst with technology research and advisory group Omdia previously told CNBC.
Open-source vs proprietary models
Open-source generally refers to software in which the source code is made freely available on the web for possible modification and redistribution.
AI models that call themselves open-source had existed before the emergence of DeepSeek, with Meta‘s Llama and Google‘s Gemma being prime examples in the U.S. However, some experts argue that these models aren’t really open source as their licenses restrict certain uses and modifications, and their training data sets aren’t public.
DeepSeek’s R1 is distributed under an ‘MIT License,’ which Counterpoint’s Sun describes as one of the most permissive and widely adopted open-source licenses, facilitating unrestricted use, modification and distribution, including for commercial purposes.
The DeepSeek team even held an “Open-Source Week” last month, which saw it release more technical details about the development of its R1 model.
While DeepSeek’s model itself is free, the start-up charges for Application Programming Interface, which enables the integration of AI models and their capabilities into other companies’ applications. However, its API charges are advertised to be far cheaper compared with OpenAI and Anthropic’s latest offerings.
OpenAI and Anthropic also generate revenue by charging individual users and enterprises to access some of their models. These models are considered to be ‘closed-source,’ as their datasets, and algorithms are not open for public access.
China opens up
In addition to Baidu, other Chinese tech giants such as Alibaba Group and Tencent have increasingly been providing their AI offerings for free and are making more models open source.
For example, Alibaba Cloud said last month it was open-sourcing its AI models for video generation, while Tencent reportedly released five new open-source models earlier this month with the ability to convert text and images into 3D visuals.
Smaller players are also furthering the trend. ManusAI, a Chinese AI firm that recently unveiled an AI agent that claims to outperform OpenAI’s Deep Research, has said it would shift towards open source.
“This wouldn’t be possible without the amazing open-source community, which is why we’re committed to giving back” co-founder Ji Yichao said in a product demo video. “ManusAI operates as a multi-agent system powered by several distinct models, so later this year, we’re going to open source some of these models,” he added.
Zhipu AI, one of the country’s leading AI startups, this month announced on WeChat that 2025 would be “the year of open source.”
Ray Wang, principal analyst and founder of Constellation Research, told CNBC that companies have been compelled to make these moves following the emergence of DeepSeek.
“With DeepSeek free, it’s impossible for any other Chinese competitors to charge for the same thing. They have to move to open-source business models in order to compete,” said Wang.
AI scholar and entrepreneur Kai-Fu Lee also believes this dynamic will impact OpenAI, noting in a recent social media post that it would be difficult for the company to justify its pricing when the competition is “free and formidable.”
“The biggest revelation from DeepSeek is that open-source has won,” said Lee, whose Chinese startup 01.AI has built an LLM platform for enterprises seeking to use DeepSeek.
U.S.-China competition
OpenAI — which started the AI frenzy when it released its ChatGPT bot in November 2022— has not signaled that it plans to shift from its proprietary business model. The company which started as a nonprofit in 2015 is moving towards towards a for-profit structure.
Sun says that OpenAI and DeepSeek both represent very different ends of the AI space. She adds thatthe sector could continue to see division between open-source players that innovate off one another and closed-source companies that have come under pressure to maintain high-cost cutting-edge models.
The open-source trend has put in to question the massive funds raised by companies such as OpenAI. Microsoft has invested $13 billion into the company. It is in talks to raise up to $40 billion in a funding round that would lift its valuation to as high as $340 billion, CNBC confirmed at the end of January.
On the other hand, Chinese companies have chosen the open-source route as they compete with the more proprietary approach of U.S. firms, said Constellation Research’s Wang. “They are hoping for faster adoption than the closed models of the U.S.,” he added.
Speaking to CNBC’s “Street Signs Asia” on Wednesday, Tim Wang, managing partner of tech-focused hedge fund Monolith Management, said that models from companies such as DeepSeek have been “great enablers and multipliers in China,” demonstrating how things can be done with more limited resources.
According to Wang, open-source models have pushed down costs, opening doors for product innovation — something he says Chinese companies historically have been very good at.
“We used to think China was 12 to 24 months behind [the U.S.] in AI and now we think that’s probably three to six months,” said Wang.
However, other experts have downplayed the idea that open-source AI should be seen through the lens of China and U.S. competition. In fact, several U.S. companies have integrated and benefited from DeepSeek’s R1.
“I think the so-called DeepSeek moment is not about whether China has better AI than the U.S. or vice versa. It’s really about the power of open-source,” Alibaba Group Chairperson Joe Tsai told CNBC’s CONVERGE conference in Singapore earlier this month.
Tsai added that open-source models give the power of AI to everyone from small entrepreneurs to large corporations, which will lead to more development, innovation and a proliferation of AI applications.
Internet firm Cloudflare will start blocking artificial intelligence crawlers from accessing content without website owners’ permission or compensation by default, in a move that could significantly impact AI developers’ ability to train their models.
Starting Tuesday, every new web domain that signs up to Cloudflare will be asked if they want to allow AI crawlers, effectively giving them the ability to prevent bots from scraping data from their websites.
Cloudflare is what’s called a content delivery network, or CDN. It helps businesses deliver online content and applications faster by caching the data closer to end-users. They play a significant role in making sure people can access web content seamlessly every day.
Roughly 16% of global internet traffic goes directly through Cloudflare’s CDN, the firm estimated in a 2023 report.
“AI crawlers have been scraping content without limits. Our goal is to put the power back in the hands of creators, while still helping AI companies innovate,” said Matthew Prince, co-founder and CEO of Cloudflare, in a statement Tuesday.
“This is about safeguarding the future of a free and vibrant Internet with a new model that works for everyone,” he added.
What are AI crawlers?
AI crawlers are automated bots designed to extract large quantities of data from websites, databases and other sources of information to train large language models from the likes of OpenAI and Google.
Whereas the internet previously rewarded creators by directing users to original websites, according to Cloudflare, today AI crawlers are breaking that model by collecting text, articles and images to generate responses to queries in a way that users don’t need to visit the original source.
This, the company adds, is depriving publishers of vital traffic and, in turn, revenue from online advertising.
Read more CNBC tech news
Tuesday’s move builds on a tool Cloudflare launched in September last year that gave publishers the ability to block AI crawlers with a single click. Now, the company is going a step further by making this the default for all websites it provides services for.
OpenAI says it declined to participate when Cloudflare previewed its plan to block AI crawlers by default on the grounds that the content delivery network is adding a middleman to the system.
The Microsoft-backed AI lab stressed its role as a pioneer of using robots.txt, a set of code that prevents automated scraping of web data, and said its crawlers respect publisher preferences.
“AI crawlers are typically seen as more invasive and selective when it comes to the data they consumer. They have been accused of overwhelming websites and significantly impacting user experience,” Matthew Holman, a partner at U.K. law firm Cripps, told CNBC.
“If effective, the development would hinder AI chatbots’ ability to harvest data for training and search purposes,” he added. “This is likely to lead to a short term impact on AI model training and could, over the long term, affect the viability of models.”
Elon Musk announced his new company xAI, which he says has the goal to understand the true nature of the universe.
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XAI, the artificial intelligence startup run by Elon Musk, raised a combined $10 billion in debt and equity, Morgan Stanley said.
Half of that sum was clinched through secured notes and term loans, while a separate $5 billion was secured through strategic equity investment, the bank said on Monday.
The funding gives xAI more firepower to build out infrastructure and develop its Grok AI chatbot as it looks to compete with bitter rival OpenAI, as well as with a swathe of other players including Amazon-backed Anthropic.
In May, Musk told CNBC that xAI has already installed 200,000 graphics processing units (GPUs) at its Colossus facility in Memphis, Tennessee. Colossus is xAI’s supercomputer that trains the firm’s AI. Musk at the time said that his company will continue buying chips from semiconductor giants Nvidia and AMD and that xAI is planning a 1-million-GPU facility outside of Memphis.
Addressing the latest funds raised by the company, Morgan Stanley that “the proceeds will support xAI’s continued development of cutting-edge AI solutions, including one of the world’s largest data center and its flagship Grok platform.”
xAI continues to release updates to Grok and unveiled the Grok 3 AI model in February. Musk has sought to boost the use of Grok by integrating the AI model with the X social media platform, formerly known as Twitter. In March, xAI acquired X in a deal that valued the site at $33 billion and the AI firm at $80 billion. It’s unclear if the new equity raise has changed that valuation.
xAI was not immediately available for comment.
Last year, xAI raised $6 billion at a valuation of $50 billion, CNBC reported.
Morgan Stanley said the latest debt offering was “oversubscribed and included prominent global debt investors.”
Competition among American AI startups is intensifying, with companies raising huge amounts of funding to buy chips and build infrastructure.
Musk has called Grok a “maximally truth-seeking” AI that is also “anti-woke,” in a bid to set it apart from its rivals. But this has not come without its fair share of controversy. Earlier this year, Grok responded to user queries with unrelated comments about the controversial topic of “white genocide” and South Africa.
Musk has also clashed with fellow AI leaders, including OpenAI’s Sam Altman. Most famously, Musk claimed that OpenAI, which he co-founded, has deviated from its original mission of developing AI to benefit humanity as a nonprofit and is instead focused on commercial success. In February, Musk alongside a group of investors, put in a bid of $97.4 billion to buy control of OpenAI. Altman swiftly rejected the offer.
— CNBC’s Lora Kolodny and Jonathan Vanian contributed to this report.
In recent years, the company has transformed from a competent private sector telecommunications firm into a “muscular technology juggernaut straddling the entire AI hardware and software stack,” said Paul Triolo, partner and senior vice president for China at advisory firm DGA-Albright Stonebridge Group.
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Huawei has open-sourced two of its artificial intelligence models — a move tech experts say will help the U.S.-blacklisted firm continue to build its AI ecosystem and expand overseas.
The Chinese tech giant announced on Monday the open-sourcing of the AI models under its Pangu series, as well as some of its model reasoning technology.
Tech experts told CNBC that Huawei’s latest announcements not only highlight how it is solidifying itself as an open-source LLM player, but also how it is strengthening its position across the entire AI value chain as it works to overcome U.S.-led AI chip export restrictions.
In recent years, the company has transformed from a competent private sector telecommunications firm into a “muscular technology juggernaut straddling the entire AI hardware and software stack,” said Paul Triolo, partner and senior vice president for China at advisory firm DGA-Albright Stonebridge Group.
In its announcement Monday, Huawei called the open-source moves another key measure for Huawei’s “Ascend ecosystem strategy” that would help speed up the adoption of AI across “thousands of industries.”
The Ascend ecosystem refers to AI products built around the company’s Ascend AI chip series, which are widely considered to be China’s leading competitor to products from American chip giant Nvidia. Nvidia is restricted from selling its advanced products to China.
A Google-like strategy?
Pangu being available in an open-source manner allows developers and businesses to test the models and customize them for their needs, said Lian Jye Su, chief analyst at Omdia. “The move is expected to incentivize the use of other Huawei products,” he added.
According to experts, the coupling of Huawei’s Pangu models with the company’s AI chips and related products gives the company a unique advantage, allowing it to optimize its AI solutions and applications.
While competitors like Baidu have LLMs with broad capabilities, Huawei has focused on specialized AI models for sectors such as government, finance and manufacturing.
“Huawei is not as strong as companies like DeepSeek and Baidu at the overall software level – but it doesn’t need to be,” said Marc Einstein, research director at Counterpoint Research.
“Its objective is to ultimately use open source products to drive hardware sales, which is a completely different model from others. It also collaborates with DeepSeek, Baidu and others and will continue to do so,” he added.
Ray Wang, principal analyst at Constellation Research, said the chip-to-model strategy is similar to that of Google, a company that is also developing AI chips and AI models like its open-source Gemma models.
Huawei’s announcement on Monday could also help with its international ambitions. Huawei, along with players like Zhipu AI, has been slowly making inroads into new overseas markets.
In its announcement Monday, Huawei invited developers, corporate partners and researchers around the world to download and use its new open-source products in order to gather feedback and improve them.
“Huawei’s open-source strategy will resonate well in developing countries where enterprises are more price-sensitive as is the case with [Huawei’s] other products,” Einstein said.
As part of its global strategy, the company has also been looking to bring its latest AI data center solutions to new countries.