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China Launches Antitrust Probe Into Nvidia, Escalating US-China Chip Tensions

China has initiated an investigation into Nvidia, a move widely viewed as retaliation against recent US chip restrictions on the Chinese semiconductor sector. The State Administration for Market Regulation announced the probe on Monday, citing potential violations of China’s anti-monopoly law. The investigation also examines Nvidia’s adherence to commitments made during its acquisition of Israeli chip designer Mellanox Technologies in 2020.

Although the exact nature of the violations remains unclear, the investigation signals a further escalation in the ongoing trade war between the US and China, as both nations compete for dominance in technology. The announcement follows a coordinated statement from four major Chinese industry associations warning local companies to be cautious when purchasing US-made chips, advising them to seek domestic alternatives instead.

Nvidia’s shares fell by 2.5% following the news. A company spokesperson stated that Nvidia is committed to providing the best products globally and is prepared to address any questions from regulators regarding its business operations.

Impact on Nvidia and the Semiconductor Industry

Bob O’Donnell, Chief Analyst at TECHnalysis Research, suggested that the probe will likely have minimal immediate impact on Nvidia. This is because most of Nvidia’s cutting-edge chips are already restricted from being sold in China due to US sanctions. These sanctions have targeted Nvidia’s A100 and H100 AI chips since 2022, forcing the company to develop modified versions of these products for the Chinese market. However, these versions were also restricted in October 2023, prompting Nvidia to release another set of modified chips specifically for China.

Despite these challenges, Nvidia has maintained a dominant position in the Chinese AI chip market, holding over 90% market share prior to the US sanctions. However, competition from domestic rivals, particularly Huawei, has been increasing. China accounted for about 17% of Nvidia’s revenue in the year ending January 2024, a sharp decline from 26% just two years earlier.

Growing US-China Tensions in the Semiconductor Sector

The investigation into Nvidia comes after the United States imposed its third crackdown on China’s semiconductor industry in three years, curbing exports to 140 companies, including chip equipment manufacturers. In response, China banned the export of key minerals, including gallium, germanium, and antimony, to the US.

Nvidia’s acquisition of Mellanox Technologies in 2020 was approved by China under certain conditions, which aimed to ensure fair and non-discriminatory access to the Chinese market for both Nvidia’s GPU accelerators and Mellanox’s networking equipment. These conditions included providing customers the ability to purchase up to one year’s worth of inventory and prohibiting unfair product bundling or trading terms.

The last time China initiated an anti-monopoly investigation into a major foreign tech company was in 2013 when Qualcomm was scrutinized for overcharging and abusing its market position in wireless communications. Qualcomm later paid a $975 million fine, the largest China had imposed on a company at that time.

As tensions between the US and China continue to rise, the future of global semiconductor supply chains remains uncertain, with companies like Nvidia caught in the crossfire of geopolitical struggles.

Cloudflare Sets New Default To Separate Search Crawlers From AI Bots

Cloudflare has drawn a sharper line between traditional search and artificial intelligence.

Beginning September 15, 2026, the company will change its default settings to block so-called mixed-use crawlers from pages that run ads, unless a site owner chooses otherwise. The policy applies to new Cloudflare customers, new sites created by existing customers, and all current free customers.

A Clearer Divide In Web Access

The shift could materially reshape how AI companies collect web data for model training and agentic products. Cloudflare’s central argument is straightforward: most publishers want their content to remain visible in search and accessible through certain AI services, but they do not want that same material repurposed without compensation.

In Cloudflare’s view, the problem is not crawling itself. It is the blending of three different functions: search, agentic use, and training into a single bot that makes it difficult for website owners to set meaningful boundaries.

The Google Question

Cloudflare pointedly referenced the “world’s largest search engine,” an unmistakable nod to Google, arguing that it has access to roughly twice as much information as rival AI companies because it makes it harder for customers to stay discoverable without also being used for AI.

Google has disputed that framing. The company offers Google Extended, a crawler setting that lets publishers opt out of having content used for training and AI products such as Gemini apps and Vertex AI, without affecting visibility in Google Search. At the same time, Googlebot still crawls for Search and for AI-powered features such as AI Overviews and AI Mode.

Publishers Want Reach, Not Exploitation

Matthew Prince, Cloudflare’s co-founder and chief executive, said the company is moving quickly because the internet is now dominated by machine traffic.

“Now that the majority of traffic on the Internet is non-human, we must go further and act faster so that a sustainable ecosystem can emerge,” Prince said, referring to the recent milestone in which bots surpassed human traffic online sooner than expected.

Prince added that Cloudflare’s tools and partnerships are designed to give publishers more visibility and commercial leverage, while also rewarding AI companies that are transparent about how they use content.

From Pay Per Crawl To Pay Per Use

Cloudflare has increasingly positioned itself as a gatekeeper for publishers looking to assert control in the AI era. The company already offers tools to block AI bots, along with a marketplace called Pay Per Crawl, which lets websites charge AI systems for scraping.

That framework is now expanding into Pay Per Use, which Cloudflare says will allow publishers to charge AI companies when content creates value, not merely when it is fetched. In practical terms, that shifts the economics from extraction to monetization.

Cloudflare says the move may also reduce waste. Its data suggests more than half of crawl traffic from AI bots is spent revisiting pages that have not changed, consuming bandwidth and compute without adding fresh value for either side.

Early Partners Signal The Commercial Model

To launch the new system, Cloudflare is working with Ceramic.ai and You.com. Under the opt-in model, publishers can be paid when their content appears in Ceramic’s AI search results or when You.com accesses premium material.

Cloudflare says other AI companies can adapt the model to fit their own products. The broader message is clear: the era of unrestricted crawling is giving way to one in which access, attribution, and compensation are increasingly negotiated rather than assumed.

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