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Baidu Says Homegrown Tech Shields AI Ambitions from U.S. Chip Curbs

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Chinese tech giant Baidu asserted on Wednesday that its artificial intelligence (AI) development remains largely insulated from recent U.S. semiconductor export restrictions, thanks to an expanding domestic supply of chips and software. The company also reported stronger-than-expected Q1 financial results, fueled by growth in its AI cloud segment.

“Domestically developed chips and increasingly efficient homegrown software will form a strong foundation for long-term innovation in China’s AI ecosystem,” said Shen Dou, Baidu’s Vice President, during a conference call with analysts.

The statement follows the latest U.S. curbs on advanced chips — including Nvidia’s H20, a product tailored for the Chinese market — which officially took effect last month. Baidu’s confidence mirrors that of rival Tencent, which recently cited existing chip stockpiles as a buffer against Washington’s tightening export controls.

Baidu’s first-quarter revenue rose 3% year-over-year to 32.45 billion yuan ($4.5 billion), surpassing analysts’ estimates of 30.9 billion yuan, according to LSEG. The company’s non-online marketing revenue, primarily driven by its AI cloud business, jumped 40% to 9.4 billion yuan, highlighting Baidu’s accelerating pivot away from its legacy ad-based search engine model.

While revenue from its online marketing segment fell 6% to 17.31 billion yuan — slightly below forecasts — Baidu posted a robust profit of 21.59 yuan per American Depositary Share, up from 14.91 yuan a year earlier.

Baidu has made aggressive moves in the generative AI space since becoming one of the first Chinese firms to launch a ChatGPT-style chatbot in early 2023. However, its flagship Ernie model now faces stiff competition from fast-rising domestic players like DeepSeek.

In response, Baidu scrapped subscription fees for premium AI chatbot services in April and launched enhanced models including Ernie X1 and Ernie 4.5, later upgrading both to “Turbo” versions. The company’s AI ambitions are powered by its self-developed P800 Kunlun chips, with a 30,000-chip cluster said to be capable of training DeepSeek-scale models.

Despite the upbeat earnings and AI momentum, Baidu’s U.S.-listed shares were slightly down 0.3% in Wednesday morning trading.

Baidu Set to Launch Next-Gen AI Model “Ernie 5” in 2025

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Baidu, China’s leading tech company, is poised to unveil the next iteration of its AI model, Ernie 5, in the second half of 2025, according to a source familiar with the matter. The new model will introduce multimodal capabilities, enabling it to handle and convert various formats, including text, video, images, and audio.

This launch comes at a time of fierce competition in China’s AI sector, especially from the startup DeepSeek, which has gained attention for offering a reasoning model that competes with OpenAI’s GPT at a lower cost. Despite being an early adopter in AI with its Ernie model, Baidu has faced challenges in achieving widespread adoption, even though it claims that Ernie 4 rivals the capabilities of GPT-4.

Baidu’s AI models have lagged behind domestic competitors, including ByteDance’s Doubao chatbot and DeepSeek, in terms of user uptake. Baidu CEO Robin Li acknowledged at a recent Dubai conference that the rise of DeepSeek highlights the unpredictable nature of innovation. He also noted that investment in data centers and cloud infrastructure remains essential, even though DeepSeek has shown that AI models can be made more cost-efficient.

Baidu CEO Stresses Continued Investment in Cloud Infrastructure Despite DeepSeek’s Success

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Baidu CEO Robin Li emphasized the ongoing need for investment in cloud infrastructure and data centers despite the recent success of DeepSeek, a Chinese AI startup. Speaking at the World Government Summit in Dubai on Tuesday, Li highlighted that while DeepSeek has demonstrated impressive efficiency in developing language models using less computing power, the demand for greater computational resources remains crucial.

“The investment in cloud infrastructure is still very much required. To develop models smarter than others, you need more compute,” Li stated, referring to the hardware that enables AI models to train, process data, and generate predictions.

DeepSeek has captured global attention for creating language models that rival leading systems like OpenAI’s GPT while utilizing significantly lower computational resources. This innovation has raised questions about the necessity for massive infrastructure investments, which has been a focal point of many AI companies’ strategies.

Baidu, one of the first Chinese companies to introduce AI products after the launch of OpenAI’s ChatGPT in late 2022, has developed its large language model, Ernie, which the company claims matches the capabilities of GPT-4. However, Ernie has seen limited adoption in the market.

Li, known for making bold statements about China’s AI industry, acknowledged the unexpected nature of innovation, citing DeepSeek’s rapid success as an example. “You just don’t know when and where innovations come from,” Li remarked.

The CEO also noted that the pressure to reduce costs and overcome compute constraints has driven Chinese companies like Baidu to innovate more efficiently. In an apparent shift from his earlier stance, Li recognized the potential of open-source approaches to accelerate AI development. “If you open things up, many people will be curious enough to try it. This will help spread the technology much faster,” he added.