As China and the U.S. compete in artificial intelligence, Southeast Asia should draw from the best of both countries while building its own technologies, panelists said at CNBC’s East Tech West 2025 conference on June 27 in Bangkok, Thailand.

Julian Gorman, head of Asia-Pacific at mobile network trade organization GSMA, said it would be a negative development if Southeast Asia was forced to choose between either superpower. 

“Southeast Asia is very dependent on both economies, both China and America. I think it’s pretty hard to consider that they would go one way or the other,” Gorman said. 

“It’s very important that we continue to focus on not fragmenting the technology, standardizing it, and working so that technology transcends geopolitics and ultimately is used for good,” he added. 

The spread of U.S. and Chinese AI companies into new global markets has been a big trend this year as both Beijing and Washington seek more global influence in advanced technologies. 

Open-source generally refers to software in which the source code is made freely available, allowing anyone to view, modify and redistribute it. Large language model players in China have been leaning into this business model since DeepSeek’s debut. 

Previous panels at East Tech West have flagged open-source models as an important tool for regions outside of China and the U.S. to build their own sovereign AI capabilities.

Meanwhile, on the hardware side, the U.S. remains a leader in AI processors through chip giant Nvidia. While the U.S. has restricted China’s access to these chips, they remain on the market for Southeast Asia – which Chen suggested the region continue to take advantage of. 

However, Chen noted that there is a possibility that the AI landscape could change dramatically in a decade, with China being able to provide more affordable alternatives to Nvidia. 

“Don’t take a side easily and too quickly. Think about how to maximize your economic potential,” he suggested. 

GSMA’s Gorman pointed out that facing this “balancing act” between the superpowers is not new for Southeast Asia. For example, the region’s mobility industry heavily relies on Chinese tech manufacturing and hardware, as well as the U.S. in other areas such as telecommunications.

Cost considerations have already contributed to Malaysia’s growth as a global powerhouse in AI data centers and computing, particularly in the southern Johor region.

Still, Southeast Asia should aim to bring in companies with advanced capabilities that domestic industries can learn from and benefit from – a strategy that China employed to catch up to the West in advanced technologies, said Chen.

Southeast Asia can also play a proactive role in AI regulation itself, he said, citing recent examples of regulatory leadership from the region, such as Singapore’s Shared Responsibility Framework for tackling international scams and fraud. 

So far, there have been few global regulations on AI. While the EU has adopted a policy, the U.S. and ASEAN countries have yet to follow suit. 

Chen added that the region will need to band together and adopt common frameworks to gain a more prominent seat at the table of global AI development and regulation. 

South Korea’s Samsung Electronics on Tuesday forecast a 56% fall in profits for the second as the company struggles to capture demand from artificial intelligence chip leader Nvidia. 

The memory chip and smartphone maker said in its guidance that operating profit for the quarter ending June was projected to be around 4.6 trillion won, down from 10.44 trillion Korean won year over year.

The figure is a deeper plunge compared to smart estimates from LSEG, which are weighted toward forecasts from analysts who are more consistently accurate.

According to the smart estimates, Samsung was expected to post an operating profit of 6.26 trillion won ($4.57 billion) for the quarter. Meanwhile, Samsung projected its revenue to hit 74 trillion won, falling short of LSEG smart estimates of 75.55 trillion won.

Samsung is a leading player in the global smartphone market and is also one of the world’s largest makers of memory chips, which are utilized in devices such as laptops and servers.

However, the company has been falling behind competitors like SK Hynix and Micron in high-bandwidth memory chips — an advanced type of memory that is being deployed in AI chips.

“The disappointing earnings are due to ongoing operating losses in the foundry business, while the upside in high-margin HBM business remains muted this quarter,” MS Hwang, Research Director at Counterpoint Research, said about the earnings guidance.

SK Hynix, the leader in HBM, has secured a position as Nvidia’s key supplier. While Samsung has reportedly been working to get the latest version of its HBM chips certified by Nvidia, a report from a local outlet suggests these plans have been pushed back to at least September.

The company did not respond to a request for comment on the status of its deals with Nvidia.

Ray Wang, Research Director of Semiconductors, Supply Chain and Emerging Technology at Futurum Group told CNBC that it is clear that Samsung has yet to pass Nvidia’s qualification for its most advanced HBM.

“Given that Nvidia accounts for roughly 70% of global HBM demand, the delay meaningfully caps near-term upside,” Wang said. He noted that while Samsung has secured some HBM supply for AI processors from AMD, this win is unlikely to contribute to second-quarter results due to the timing of production ramps.

Meanwhile, Samsung’s chip foundry business continues to face weak orders and serious competition from Taiwan Semiconductor Manufacturing Company, Wang added.

Reuters reported in September that Samsung had instructed its subsidiaries worldwide to cut 30% of staff in some divisions, citing sources familiar with the matter.