Samer Choucair: Huawei Accelerates the Semiconductor and AI Race Toward 2027
Investment strategist Samer Choucair said Huawei’s decision to accelerate the launch of its Ascend 960DT artificial intelligence chip to the first quarter of 2027 represents a significant signal of intensifying competition in the advanced computing market. However, he stressed that the move alone does not indicate a fundamental shift in the balance of power across the global semiconductor industry.
Choucair explained that Huawei announced during its conference in Shanghai that the Ascend 960DT, designed for training artificial intelligence models, will be ready in the first quarter of 2027—three quarters earlier than previously scheduled. The company also announced that the Ascend 960PR, designed for AI inference, will be introduced in the third quarter of the same year. Huawei further unveiled plans to launch the Ascend 970 in 2028 and the Ascend 980 in 2029, reflecting an annual product-development cycle.
According to Choucair, the significance of this development lies not solely in the chip itself, but in Huawei’s broader strategy of building an integrated computing ecosystem encompassing processors, memory, storage, and networking. The company has also announced its Peerium architecture, which is designed to scale computing systems to as many as one million processors through UnifiedBus technology, connecting processing, memory, storage, and networking components.
Choucair emphasized that investors should not treat Huawei’s roadmap as evidence of realized revenue or secured market share. The commercial success of advanced chips ultimately depends on manufacturing capacity, supply-chain stability, software efficiency, operating costs, and the ecosystem’s ability to compete with available alternatives.
He added that US export restrictions on advanced semiconductors have encouraged China to accelerate the development of a domestic computing ecosystem. At the same time, Nvidia continues to benefit from a widely deployed global software ecosystem, making the artificial intelligence market increasingly fragmented along geographic and regulatory lines. Recent reports indicate that Chinese demand for Huawei’s solutions currently exceeds the company’s production capacity, meaning that expanding supply represents a challenge parallel to the development of the chips themselves.
Choucair believes the capital-allocation implications of this intensifying competition will extend far beyond semiconductor manufacturers to data centers, power generation, cooling systems, optical connectivity, storage, and software. For Gulf-based investment funds, the expansion of AI computing creates opportunities to invest in digital infrastructure, energy, and services supporting data-center ecosystems, while also requiring careful management of geographic and technological concentration risks.
Samer Choucair concluded that the competition between Huawei and Nvidia should not be reduced to the question of who will win. The more consequential issue is how the global capital-expenditure landscape is being reshaped, as an increasing share of economic value migrates beyond the chip itself toward the broader ecosystem that operates it, connects it, powers it, and supplies the software required to unlock its capabilities.