Broadcom | KrASIA

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At the foot of green hills where farmers raise chickens and cultivate jasmine tea and rice, construction workers have been putting the final touches on an infrastructure project that policymakers hope will bring new growth to the southern Chinese region of Guangxi and neighboring inland provinces.

Most of the massive trade China conducts with other nations flows through ports and airports along the country’s long and prosperous eastern coast, particularly at the mouths of the Yangtze and Pearl rivers. Opening after four years of construction, the new Pinglu Canal is intended to divert some of China’s east-west trade flows toward the country’s short southern coast and intensify economic connections with Southeast Asia, which in recent years has overtaken both North America and Europe to become the country’s biggest trading partner.

Dubbed by officials as the “project of the century,” the new north-south link will enable cargo ships to turn south from the Xi River, which flows east into the Pearl River Delta, and reach the sea more quickly at the Beibu Gulf, known outside China more commonly as the Gulf of Tonkin.

During a visit last month to Qinzhou, where the canal reaches the Beibu, excavators were removing sediment from the riverbed while cranes swung concrete panels into position to line the new channel. Trucks carrying cement and construction materials clogged nearby roads.

Fisher Tan Hui has already been diverted. Access to the stretch of the Xi where he has long made a living catching fish near Hengzhou, where the canal starts, has been restricted for construction work, so lately he has been ferrying tourists around instead.

“I took seven people out for a two-hour boat ride along the canal yesterday,” Tan said. “I hope more tourists will come.”

Chances are high as the authorities are publicly showcasing the Pinglu as a great feat of engineering, comparing it to the opening of the Grand Canal—which still runs from Beijing almost all the way to Shanghai—more than 1,000 years ago.

While the Pinglu is less than a 10th as long as the Grand Canal, it was completed just four years after construction began. This impressive pace contrasts with the halting advance of canal projects involving Chinese interests in Southeast Asia and other regions. Yet the question of payback on China’s RMB 72.7 billion (USD 10.8 billion) investment in the Pinglu barely enters into discussion.

For Beijing, which has funded Pinglu’s construction through state-owned policy and commercial banks, direct returns on investment are not the point, said Jean-Paul Rodrigue, a professor of maritime business administration at Texas A&M University at Galveston.

“You create accessibility and all sorts of spillover effects [like] new investment, new markets, new trade relations,” he said. “We’re talking about a decade or two in the future. Meanwhile, you have a very big infrastructure sunk cost.”

This year’s priority has been to complete the canal in time for the China-ASEAN Expo. “All localities and relevant departments in the region must go all out, fulfill their mission and leave no regrets,” was the message that came out of a meeting of regional Communist Party leaders last month.

Getting to this point has been a huge undertaking. Although the lower section of the Pinglu tracks the course of the Qin River out to the Beibu Gulf, the upper section was blasted through Guangxi’s mountainous interior. Some 315 million cubic meters of earth and rock were excavated from the hills and the channel of the Qin, enough to fill Beijing’s National Stadium 105 times.

All this digging still left the problem of smoothing out a 65-meter decline to sea level for boats traveling out into the gulf. To deal with this, engineers constructed three sets of hydraulic locks capable of lifting or lowering a loaded ship weighing up to 5,000 metric tons. The massive lock doors can snap shut in 30 seconds.

Key components of the locks’ hydraulic operating systems were designed and manufactured domestically. The canal project also produced significant technological breakthroughs, such as the vertical stacking of water-saving pools and the use of 3D printing to make the hydraulic gates’ control mechanisms, according to state media interviews with project engineers and researchers.

While China’s infrastructure building in recent decades has focused on highways, railways, dams, ports, and airports rather than waterways, groundwork for the Pinglu was laid by other recent projects such as the Jianghuai Canal.

The 355-kilometer waterway parallels a stretch of the Grand Canal and was completed in 2023 as part of a wide-ranging effort to shift water from the free-flowing Yangtze to rivers like the drier Huaihe in north China. Planners are currently evaluating plans for two more extended north-south canals: The Xianggui, which would link the Yangtze and the Xi rivers, and the Ganyue, which would connect the Yangtze and Pearl rivers.

Such ambitions have raised concerns about potential overbuilding. In an interview with Chinese media, Charles Guowen Wang, director of the Center for Logistics and Supply Chain Management at the China Development Institute in Shenzhen, said some proposed inland canals would involve “huge water resource consumption, inter-provincial coordination costs and high engineering investments. … We need to be realistic.”

Meanwhile, Chinese-backed canal projects overseas have made far less progress.

Two years ago, Chinese government officials and executives from state-owned China Bridge and Road Corporation joined Cambodian Prime Minister Hun Manet at a ceremony to break ground on the Funan Techo Canal, a USD 1.7 billion channel to run from Phnom Penh to the Cambodian coast.

The 180-kilometer canal, to be built by a China Bridge joint venture and scheduled for completion in 2028, would reduce Cambodia’s reliance on Vietnamese seaports along the Mekong River Delta and, in the eyes of some observers, give Beijing strategic leverage against Hanoi.

Although local officials announced last year that they had finalized the scope of work to be done, construction has yet to begin amid extended discussions over land rights and financing. On September 9, however, Cambodian officials signed an agreement in Xiamen, China, to receive around USD 1 billion in financing from the Export-Import Bank of China.

“The new Chinese financing could remove the biggest obstacle, but the real test now is whether we see compensation accelerate, contracts mobilized, heavy equipment deployed and sustained construction along substantial portions of the route,” said Ear Sophal, an associate professor of political economy at Arizona State University who studies Cambodia.

The government of neighboring Thailand in 2023 shelved a proposal backed by Chinese business interests to build a canal cutting across a narrow strip of land above the Malay Peninsula that would enable ships to bypass the Strait of Malacca. A year later, the Nicaraguan government revoked a concession granted to Chinese businessman Wang Jing to develop a USD 50 billion alternative to the Panama Canal after a decade of relative inactivity.

“Inside China, Beijing can mobilize financing, land, engineering capacity and political authority with extraordinary speed,” said James Borton, a senior fellow with Johns Hopkins University’s SAIS Foreign Policy Institute. “Overseas, even a strategically friendly country such as Cambodia introduces additional layers of sovereignty, financing, environmental review, compensation, domestic politics and relations with neighboring states.”

Back in Guangxi, the idea of building the Pinglu is credited to Sun Yat-sen, leader of the republican movement that brought down China’s imperial dynasty in 1911. In his 1920 book “The International Development of China,” Sun argued that the construction of a shipping channel to the Beibu port of Qinzhou would boost the economy of inland areas like the provinces of Yunnan and Guizhou.

In any case, the opening of the Pinglu should save companies in the area time and money. Compared with the current riverine route to Pearl River Delta ports like Guangzhou, Shenzhen, and Hong Kong, the canal will provide a 560-kilometer shortcut. This could translate into RMB 5.2 billion (USD 773.2 million) in annual savings, according to state broadcaster CCTV.

To add to the attraction, cargo ships will not be charged to transit the Pinglu’s locks for the rest of 2026. They are then to be charged RMB 1 (USD 0.15) per gross ton per lock. This compares with prices for auctioned slots to transit the locks of the Panama Canal which exceeded USD 2.5 million in some cases last month.

Chinese brokerage TF Securities estimated in a report two years ago that by 2035, the Pinglu Canal would bring 200 million tons of incremental annual freight volume to state-owned Beibu Gulf Port, whose portfolio includes Qinzhou as well as the nearby ports of Fangchenggang and Beihai.

This would represent a big jump from the 358 million tons of cargo the ports handled last year. The busiest terminal of Beibu Gulf Port, whose Shenzhen-listed shares have risen 27% over the past year, is operated by a joint venture with Singaporean state company PSA International.

Currently, trade between this corner of China and Southeast Asia is centered on bulk commodities, with coal, building materials and grain sent south and mineral resources coming north. Like local governments elsewhere in China, authorities in Guangxi in recent years have liberally doled out subsidies to incentivize high-tech manufacturing, but the results have been unimpressive.

Nanning, for example, extended financial support to electric vehicle maker Hozon New Energy Automobile, which set up a large factory not far from the Pinglu Canal. But despite aggressive marketing of its Neta-branded cars in Southeast Asia, Hozon racked up heavy losses and halted most production last year. The factory appeared dormant last month, with hundreds of uncompleted cars visible within.

Pinglu could potentially play a role in the accelerating shift of Chinese supply and production chains into Southeast Asia. Companies have been relocating operations both to take advantage of lower labor and other input costs in certain countries and to cope with heightened barriers to “Made in China” products in the US and other export markets.

“In the bigger picture, this strengthens ASEAN’s position in global supply chains as a cost-efficient manufacturing hub,” said Priyanka Kishore, director and principal economist at Asia Decoded, a Singapore-based research company.

Yet Southeast Asian governments may be starting to reconsider the merits of this kind of relationship.

“ASEAN governments face a delicate calculation,” Borton said. “They want the infrastructure and investment that come with deeper Chinese economic integration, but they do not necessarily want Southeast Asia to become the release valve for Chinese industrial overcapacity displaced from the US and European markets.”

Residents along the Pinglu, however, are hopeful the canal will generate new business opportunities.

“I am focusing on saving money so I can buy a house,” said Su Zixuan, a 20-year-old fish trader in Qinzhou. “I don’t know much about the canal, but I hope it makes this city develop faster.”

This article first appeared on Nikkei Asia. It has been republished here as part of 36Kr’s ongoing partnership with Nikkei.

Note: RMB figures are converted to USD at rates of RMB 6.73 = USD 1 based on estimates as of September 15, 2026, unless otherwise stated. USD conversions are approximate and, where appropriate, rounded for ease of reference. They may not fully match prevailing exchange rates.

20:T10ec, Pinglu Canal underscores China's turn toward Southeast Asia 21:Tdf5,

DJI and Insta360 compete in overlapping hardware categories, and their rivalry has extended to patent disputes. Their headquarters are also only a short drive apart in Shenzhen.

They have plenty of company. Across the city’s hardware belt, businesses making cameras, batteries, robots, and 3D printers operate within easy reach of one another. Few places offer such a concentration of engineers, component suppliers, prototyping services, and manufacturers.

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Building a working prototype is only the beginning. Producing thousands of units can expose problems that were less obvious when making one. A component may be difficult to source in sufficient quantities. An assembly process may need simplifying. Solving those problems often requires designers and manufacturing specialists to work through changes together.

Shenzhen makes it easier to find that expertise nearby. Some companies are close enough to share an elevator. Robotics companies EngineAI and Astribot, for example, occupy different floors of the same office tower. Proximity does not necessarily mean collaboration, but it illustrates how concentrated the industry has become.

Insta360’s own history illustrates the appeal. It moved to Shenzhen in 2015 after encountering difficulties scaling up production of optical modules for its panoramic cameras. The local supply chain helped it address that bottleneck.

The city’s pool of expertise also expands as people move between companies or start their own. EcoFlow’s founder previously worked in DJI’s battery division, while Bambu Lab’s founding team came from DJI’s consumer drone business. Both went on to build companies in different product categories while remaining in Shenzhen.

An employee’s departure can mean a loss of experience for one company while adding to the range of businesses nearby. Suppliers gain potential customers, and engineers gain more places to apply their skills.

Over time, these connections give new companies reasons to remain in Shenzhen, including those competing with established players. They can tap production expertise, supplier networks, and industry relationships that would take time to build elsewhere.

How has China responded to calls for an AI slowdown?

Chinese officials have criticized the warnings from Amodei and other American AI leaders as an effort to “monopolize” development. A Foreign Ministry spokesperson warned that the executives are “spreading narratives of threat, engaging in confrontation and resorting to malicious competition.”

The Chinese Communist Party-affiliated Global Times wrote that Amodei’s latest essay on risks—in which he said that a swarm of AI agents “could be capable of taking over the entire internet” in six to 12 months—is “geared toward safeguarding the US lead in AI relative to China.”

China has also pushed back against allegations by Amodei and US government agencies that Chinese labs are using “industrial-scale” distillation, a technique used to train AI models using input from larger models, to soak up the capabilities of frontier American models. A commentary published by the state-run People’s Daily described distillation as common practice, and accused Washington of a “blatant double standard” by allowing US companies to distill Chinese models while labeling the same activity by Chinese companies an “attack.”

The US “continues to adhere to a hegemonic logic where ‘only the US wins,’ rather than ‘shared success for humanity,'” the article argued.

How does Beijing view AI risk?

Although Chinese officials dispute the US warnings and characterization of Chinese AI as a threat, they have become increasingly vocal about security and the need to avoid a “loss of control.”

In an article published on September 13, Chen Yixin, China’s minister of state security, warned that the latest Anthropic and OpenAI models can “exploit cyber vulnerabilities” and develop malware. He also wrote that the open-source AI agent tool OpenClaw, which went viral in China earlier this year, can remotely hijack devices and leak sensitive user information.

His worries echoed a speech Xi gave at the World Artificial Intelligence Conference in Shanghai in July, where the president called for stronger oversight and governance to “ensure that AI remains under human control at all times.”

Over the past year, China’s AI governance has expanded beyond content control to address broader risks, most visibly those posed by increasingly autonomous agents, according to a July report by Beijing-based AI safety consultancy Concordia AI. The company also found that frontier AI safety research in China has intensified: Agent safety accounted for more than a quarter of new papers in early 2026, up from 8% in early 2025.

“I think their biggest concern is that frontier AI systems, especially when available to the US government, could destabilize China’s cyberspace in ways that affect the physical world, hence threatening regime security,” said Rebecca Arcesati, head of the science, technology, and innovation program at the Mercator Institute for China Studies (Merics).

Jacob Cooke, co-founder and CEO of WPIC Marketing and Technologies, an e-commerce and technology consultancy, said that while the Chinese government seems to be taking general AI risks more seriously, it is unlikely to embrace a global research slowdown or self-regulation because it deems such proposals “vehicles for containing China’s AI development, similar to US chip restrictions.”

How have Chinese companies responded?

Discussion of AI’s long-term threat to humanity appears muted among China’s tech giants. They are focused instead on immediate operational risks.

Since Anthropic’s Claude Mythos preview shook the cybersecurity world earlier this year—the company deemed the model too dangerous to release publicly—Chinese companies have been racing to catch up. Several leading players have formed dedicated teams to develop products comparable to Mythos, though they are still lagging, according to a source close to the efforts.

Zhipu, also known as Z.ai, has been one of the more outspoken Chinese companies on AI safety. When it released its GLM-5.3 model last month, it also launched a “Shield of Open Source” initiative, offering free security audits to help users fix software vulnerabilities, and automated code-auditing tools, through its ZCode platform.

However, during a media roundtable at an annual Huawei event in Shanghai on September 17, rotating chairman Eric Xu said Chinese companies should move faster so that they can feel the same risks that American AI leaders already sense.

Xu argued that China’s largely open-source AI models are relatively transparent, while US companies with far greater computing power may be the only ones who know how sophisticated their models have become and what dangers they pose.

Xu added that the industry must balance rapid development with effective safeguards. “The bottom line is we need to ensure AI for good,” he said, “not AI for bad or evil.”

What is the current state of US-China AI competition?

Industry watchers say the gap between US closed-weight models, which are run through their vendors, and Chinese open-weight models, which can be downloaded and run on one’s own hardware, is rapidly closing.

And while the US is still considered ahead in AI performance, China leads in adoption. In one survey published by Morgan Stanley on September 14, 80% of respondents in China used AI at least once a week, compared to 54% in the US.

“The proliferation of Chinese open-weight models as a cheaper alternative is not only shaping global tech markets seeking to distance themselves from dependence on US tech, but also having impacts within the United States, as many startups have begun using open-weight models to build and train their own models more cheaply,” said a report by the Center for Strategic and International Studies published last week.

What can be expected during the Trump-Xi summit?

US treasury secretary Scott Bessent and Chinese vice premier He Lifeng met in New York ahead of Xi’s visit to the White House. In the run-up to the visit, the US was thought to have discussed “shared risks” in AI with China, Bessent told US media outlet Axios.

“Given the strategic utility of AI superiority is undeniable, striking the right balance and establishing an appropriate framework for addressing these issues may be the most important topic of the Trump-Xi meeting,” said Andy Mok, a senior research fellow at the Beijing-based Center for China and Globalization.

Sun Chenghao, a fellow with the Center for International Security and Strategy at Tsinghua University, said the two sides may find common ground in AI safety. “Both countries increasingly recognize that some AI risks are transnational and will not stop at national borders simply because the two countries are strategic competitors,” Sun wrote on Thursday. “Addressing these issues does not require prior agreement on chip controls or technological leadership.”

But other analysts expect mutual distrust to limit progress. The two sides agreed to hold a formal AI dialogue after the presidents met in May, according to Beijing, but no talks have been held officially.

Gavekal analyst Laila Khawaja said in a note that bilateral talks on AI are unlikely to produce binding agreements or major policy shifts. “The prisoner’s dilemma of AI competition among US AI labs and the competitive nature of the US-China relations means the call to slow down frontier AI development is unlikely to materialize,” she said, adding that the most realistic outcomes are continued dialogue, establishment of crisis communication mechanisms and incremental cooperation in narrowly defined areas of shared concern.

Arcesati at Merics cautioned, “Trust between the two countries is extremely low, and no one side seems to have the incentives to put safeguards on its own industry’s development so long as the other doesn’t move first.”

This article first appeared on Nikkei Asia. It has been republished here as part of 36Kr’s ongoing partnership with Nikkei.

24:T1156, China rebuffs AI slowdown calls ahead of Trump-Xi summit: 5 things to know 25:T18fc,

At the end of 2024, Ilya Sutskever, co-founder and former chief scientist of OpenAI, delivered a statement that reverberated across the artificial intelligence community: all internet data had been consumed by large models. He suggested that pre-training—the core technology underpinning these models—might be nearing its conclusion. Though mature downstream applications remain scarce, Sutskever’s pronouncement marked an inflection point in AI’s development.

This statement, akin to a bombshell, delineated a significant boundary in the evolution of artificial intelligence. Coincidentally, just one day earlier, semiconductor giant Broadcom released its financial report. CEO Hock Tan projected that Broadcom’s custom XPU chips would generate between USD 60–90 billion in revenue for the fiscal year 2027.

Broadcom’s XPU is a custom application-specific integrated circuit (ASIC) developed in partnership with tech powerhouses like Google, Amazon, and Meta. Unlike Nvidia’s general-purpose GPUs, XPUs are tailored for specific tasks, highlighting the contrasting roles of these chips in large model applications: ASICs excel at inference, while GPUs are better suited for training.

Both Sutskever’s and Tan’s predictions hinted at the same underlying shift: the demand for AI chips is evolving, and GPUs could be ceding their dominance to ASICs.

The market responded swiftly. On December 13, Broadcom’s stock surged 24%, catapulting its valuation past USD 1 trillion. Meanwhile, Nvidia faced four consecutive days of stock declines. Even before this spike, Broadcom had already reached a valuation of USD 800 billion. This remarkable rise reflects a pivotal shift in investor sentiment: the belief that the era of intensive pre-training is winding down, opening the door for ASICs to erode Nvidia’s market share and drive Broadcom’s growth.

However, the new wave of AI chip competition may not be as intense as anticipated.

Broadcom’s ascent

Broadcom’s latest financial results exceeded market expectations, driven by robust growth across key segments. AI-related revenue for the fiscal year soared by 220%, propelling the semiconductor division’s revenue to a record USD 30.1 billion, a 7% year-on-year increase. Combined with CEO Hock Tan’s optimistic forecast for the 2027 market scale, Broadcom’s ASIC business is now viewed as entering a pivotal growth phase.

Broadcom’s business operates under two primary categories: semiconductor solutions and infrastructure hardware. The infrastructure hardware division, which experienced a 196% year-on-year revenue surge thanks to VMware’s integration, was the main contributor to Broadcom’s overall 44% revenue growth for the year. Meanwhile, the company’s original software business saw only marginal increases.

In the fourth quarter, Broadcom reported a net profit of USD 4.32 billion, bolstered by revenue growth and improved operational efficiencies. Business integration efforts further reduced expense ratios, accelerating profit realization.

Broadcom’s networking segment, part of its semiconductor solutions division, has become a cornerstone of its growth. ASICs now account for 32% of the company’s revenue, making them its largest revenue contributor. This segment also includes Ethernet switch and router chips, PHY chips, and optical transceivers, underscoring the breadth of Broadcom’s networking portfolio.

Broadcom’s foray into the ASIC business began with its 2016 acquisition of storage company LSI, and it has since become a major growth driver. Historically, Broadcom’s Ethernet switch products were the flagship of its data center networking equipment portfolio, where the company held a dominant position.

The rapid expansion of AI data centers has significantly increased demand for networking equipment. For instance, AI systems powered by Nvidia’s chips typically require around nine 1.6T optical modules per machine. This surge in demand has driven up the stock prices of optical module manufacturers like Marvell, whose valuation has doubled over the past year due to Nvidia’s strong market presence.

Broadcom initially benefited from this trend with its switch products. However, Nvidia’s acquisition of Mellanox in 2019 disrupted this dynamic, allowing Nvidia to enter the switch market and directly compete with Broadcom.

In response, Broadcom has leaned heavily into its ASIC business, which has emerged as a crucial cash cow within its networking division.

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End of Nvidia’s dominance?

“The deceleration of Nvidia’s growth is inevitable, but being surpassed or replaced is impossible,” one investor said.

While Broadcom’s ascent is clear, whether Nvidia can truly be replaced remains an open question. From a technical perspective, GPUs are also capable of performing inference tasks, despite ASICs being commonly associated with them. For instance, Nvidia’s GB200 chip delivers inference performance 30 times greater than its H100 predecessor.

That said, ASICs excel in scenarios requiring low power consumption and compact designs, making them better suited for edge applications. Meanwhile, Nvidia’s dominance and premium pricing have positioned it as a shared adversary for companies seeking cost-effective alternatives in the AI sector.

Broadcom, as the most viable competitor, has gained industry support from those looking to diversify away from Nvidia. Still, market analysts caution that Broadcom’s gains may be overhyped, while Nvidia’s stock could be undervalued. The slowdown in pre-training does not necessarily signal the decline of general-purpose models. Furthermore, widespread ASIC adoption could disrupt existing large language model frameworks, which remain central to AI’s current landscape.

KrASIA Connection features translated and adapted content that was originally published by 36Kr. This article was written by Song Wanxin for 36Kr.

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