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AI infrastructure boom is reshaping global logistics, Dimerco says

10 hours ago
By AI, Created 10:00 UTC, Jul 23, 2026, AGP -

At a supply chain summit in Taipei, Dimerco Express Group marked its 55th anniversary by warning that the rush to build AI data centers is creating a new, fast-growing logistics challenge. Industry leaders said the move from chips to full AI infrastructure is driving demand for complex, time-sensitive freight across Asia and beyond.

Why it matters: - AI infrastructure is becoming one of the fastest-growing logistics markets as companies race to build the data centers that power artificial intelligence. - The shift is increasing demand for coordinated transport, customs clearance and delivery of oversized, high-value equipment across global supply chains. - McKinsey projects global data center capacity demand could almost triple by 2030, requiring nearly $7 trillion in investment.

What happened: - Dimerco Express Group hosted its "Beyond the Next Horizon" Supply Chain Summit in Taipei as part of its 55th anniversary. - More than 150 customers and supply chain experts attended the event. - Dimerco CEO Jeffrey Shih said AI infrastructure is creating a more complex logistics environment than traditional consumer electronics. - Colley Hwang, chairman and CEO of DIGITIMES, said semiconductor and technology executives are focusing more on hardware bottlenecks in AI data center construction.

The details: - AI infrastructure includes thousands of components made in multiple countries before a data center can operate. - The equipment must move from manufacturers across Asia to hyperscale data centers under construction worldwide. - Shih said the shipments include servers, switches, cooling units and power systems that must be manufactured, transported, cleared through customs, stored and delivered safely and on time. - He said companies must now manage trade compliance, tighter export controls, shipments worth tens of millions of US dollars, delicate handling and tightly timed deliveries. - Hwang said the industry’s questions have shifted from "What can AI do?" to "Where does computing power come from?" - The summit said AI infrastructure is also reshaping the air cargo market. - Premium air freight demand is rising as AI servers, networking equipment and other high-value components move from Asian manufacturing hubs to data centers worldwide. - Dimerco Chairwoman Catherine Chien said global shipping, trade compliance and bonded warehousing services position Dimerco to move AI equipment from Asia to data centers around the world. - Chien said, "AI may be powered by chips, but it's enabled by logistics." - Dimerco Express Group was founded in Taiwan in 1971, is listed on the Taipei Exchange under ticker 5609 and operates more than 300 service locations on a cloud-based digital logistics platform. - Dimerco said the company provides international air freight, ocean freight, contract logistics and supply chain solutions. - The company's website is More information.

Between the lines: - The logistics bottleneck is shifting upstream. AI demand is no longer just about semiconductors and software; it now depends on moving complete physical systems across borders without delays. - The air cargo market stands to benefit as AI deployments demand faster, safer and more specialized transport than standard freight can provide. - The comments from Dimerco executives frame logistics as a strategic constraint, not just a back-office function, for AI buildouts.

What's next: - Global demand for data center capacity is expected to keep rising through 2030, which should keep pressure on freight networks, customs systems and bonded storage capacity. - As AI infrastructure deployments accelerate, logistics providers are likely to face more demand for specialized handling, compliance support and precise scheduling. - Dimerco is positioning its global network and freight services to capture more of that growth.

Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.

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