HKTV Mall in Amoy Plaza. PHOTO: WIKIPEDIA USER -WPCPEY
Mainland giants accelerate expansion as local players face unprecedented competition.
Updated
November 28, 2025 4:18 PM
HKTV Mall in Amoy Plaza. PHOTO: WIKIPEDIA USER -WPCPEY
Hong Kong is entering a new phase of competition as mainland platforms accelerate their expansion into the city, turning it into a frontline testing ground for Chinese companies preparing to push into global markets. With retail, logistics and food-delivery businesses all reshaped in the past year, Hong Kong has become the closest international environment where mainland firms can experiment with pricing, supply chains and customer behaviour under a familiar regulatory and cultural framework.
The shift became especially clear this week. At HKTVmall’s Vision Day on November 11, 2025, CEO Ricky Wong warned that Hong Kong’s traditional retail model is facing its toughest moment yet. He said the biggest threat is not mainland competitors like Taobao, JD.com or Pinduoduo entering Hong Kong, but the city’s longstanding dependence on physical shopping. If local retailers do not evolve, he said, they risk becoming “very easy to die of thirst in the desert”. Wong even welcomed the rise of mainland e-commerce giants, arguing that the more players enter the city, the faster consumers will shift online — a transition HKTVmall relies on for growth.
Yet his optimism is layered over a challenging reality. HKTVmall’s own numbers reflect pressure from competition and changing consumer habits. The company reported average daily GMV of HK$22.2 million during the latest shopping festival season — up 2.8% month-on-month but still down 4.3% compared year-on-year — showing that even established online platforms are struggling to maintain momentum as mainland entrants squeeze prices and widen product selection.
The city’s food-delivery market illustrates the shift even more sharply. Deliveroo, once the fastest-growing platform in Hong Kong and at one point holding more than half of the market, officially shut down in April this year after a long decline. Its trajectory mirrored the sector’s upheaval: the company surged during the pandemic but lost ground after restrictions eased, first overtaken by Foodpanda and then pressured heavily by Meituan-backed Keeta, which entered Hong Kong in 2023 and quickly seized about 30% of citywide orders.
Deliveroo’s exit and the handover of parts of its business to Foodpanda did little to stabilise the market. Keeta’s rapid expansion instead pushed Foodpanda onto the defensive, leaving two major players competing in a market shaped by mainland-style pricing and operations. Hong Kong’s delivery sector, once dominated by global firms, is increasingly defined by Chinese platforms optimizing speed and efficiency at a scale few competitors can match.
These changes are unfolding as Chinese companies shift their focus toward new global markets.
With China reducing its reliance on the US and EU and exports steadily moving toward ASEAN, Hong Kong has become a strategic launchpad. The city’s proximity, language familiarity and regulatory structure make it the nearest international setting where Chinese firms can test overseas strategies before expanding into Southeast Asia, the Middle East or Latin America. The result is a competitive intensity that local companies have rarely experienced. Retailers face price pressure they can’t match, local platforms are losing ground to mainland giants and global players are struggling to stay in the game.
Consumers benefit from lower prices, faster delivery and wider choice — but for Hong Kong businesses, the landscape has turned unforgiving. Mainland companies are not treating Hong Kong as a final destination but as the first stop in a broader global push. That positioning is reshaping the city’s entire consumer economy. As more mainland firms look outward, Hong Kong’s role as a testing ground will only deepen and the first players to feel the impact will be those operating closest to the consumer.
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The hidden cost of scaling AI: infrastructure, energy, and the push for liquid cooling.
Updated
December 16, 2025 3:43 PM
The inside of a data centre, with rows of server racks. PHOTO: FREEPIK
As artificial intelligence models grow larger and more demanding, the quiet pressure point isn’t the algorithms themselves—it’s the AI infrastructure that has to run them. Training and deploying modern AI models now requires enormous amounts of computing power, which creates a different kind of challenge: heat, energy use and space inside data centers. This is the context in which Supermicro and NVIDIA’s collaboration on AI infrastructure begins to matter.
Supermicro designs and builds large-scale computing systems for data centers. It has now expanded its support for NVIDIA’s Blackwell generation of AI chips with new liquid-cooled server platforms built around the NVIDIA HGX B300. The announcement isn’t just about faster hardware. It reflects a broader effort to rethink how AI data center infrastructure is built as facilities strain under rising power and cooling demands.
At a basic level, the systems are designed to pack more AI chips into less space while using less energy to keep them running. Instead of relying mainly on air cooling—fans, chillers and large amounts of electricity, these liquid-cooled AI servers circulate liquid directly across critical components. That approach removes heat more efficiently, allowing servers to run denser AI workloads without overheating or wasting energy.
Why does that matter outside a data center? Because AI doesn’t scale in isolation. As models become more complex, the cost of running them rises quickly, not just in hardware budgets, but in electricity use, water consumption and physical footprint. Traditional air-cooling methods are increasingly becoming a bottleneck, limiting how far AI systems can grow before energy and infrastructure costs spiral.
This is where the Supermicro–NVIDIA partnership fits in. NVIDIA supplies the computing engines—the Blackwell-based GPUs designed to handle massive AI workloads. Supermicro focuses on how those chips are deployed in the real world: how many GPUs can fit in a rack, how they are cooled, how quickly systems can be assembled and how reliably they can operate at scale in modern data centers. Together, the goal is to make high-density AI computing more practical, not just more powerful.
The new liquid-cooled designs are aimed at hyperscale data centers and so-called AI factories—facilities built specifically to train and run large AI models continuously. By increasing GPU density per rack and removing most of the heat through liquid cooling, these systems aim to ease a growing tension in the AI boom: the need for more computers without an equally dramatic rise in energy waste.
Just as important is speed. Large organizations don’t want to spend months stitching together custom AI infrastructure. Supermicro’s approach packages compute, networking and cooling into pre-validated data center building blocks that can be deployed faster. In a world where AI capabilities are advancing rapidly, time to deployment can matter as much as raw performance.
Stepping back, this development says less about one product launch and more about a shift in priorities across the AI industry. The next phase of AI growth isn’t only about smarter models—it’s about whether the physical infrastructure powering AI can scale responsibly. Efficiency, power use and sustainability are becoming as critical as speed.