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Business News | AI Chip Demand Stays Strong, but Component Shortages Emerge as Next Challenge: Nomura

Get latest articles and stories on Business at LatestLY. The artificial intelligence (AI) boom is entering a new phase where the biggest challenge is no longer demand for AI chips but shortages of critical components needed to build AI infrastructure, according to a Nomura Report, which said supply constraints across the hardware ecosystem are likely to intensify through 2027 even as AI investment remains strong.

Business News | AI Chip Demand Stays Strong, but Component Shortages Emerge as Next Challenge: Nomura
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New Delhi [India], July 2 (ANI): The artificial intelligence (AI) boom is entering a new phase where the biggest challenge is no longer demand for AI chips but shortages of critical components needed to build AI infrastructure, according to a Nomura Report, which said supply constraints across the hardware ecosystem are likely to intensify through 2027 even as AI investment remains strong.

The report said the AI investment cycle is far from over, with demand continuing to be driven by aggressive spending on AI data centres by hyperscalers such as Microsoft, Google, Amazon and Meta. However, it warned that shortages are shifting beyond advanced chips to a wider range of components across the supply chain.

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"We believe there will be an unprecedented component supply-mismatch period in 2H26F, and we expect it will get worse in 2027F," Nomura said in the report. It added that, apart from advanced packaging, memory and CPUs, "PCB/CCL, IC substrate, higher-end capacitors, power management IC (PMIC), and optical components are also already in shortage currently."

According to the report, these shortages could spill over into other industries as well.

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"This could further affect the supply for non-AI subsectors such as consumer and auto," it said, adding that "supply chain price hikes could continue or increase with worsening shortages."

Despite the growing supply bottlenecks, Nomura said it does not believe the AI infrastructure investment cycle has peaked.

"There could be a few valid factors that may explain the recent share price pullback, but likely we have not yet reached the peak of this cycle," the report said. It attributed this to continued upside in hyperscalers' capital expenditure plans and a steady pipeline of new data centre projects globally.

The brokerage said its latest tracking of global data centre projects indicates that demand for AI hardware will remain strong over the next few years.

It added that incremental AI data centre capacity deployment is expected to rise to 32 gigawatts in 2027 from 28 gigawatts estimated earlier.

The report said the current constraints are no longer centred only on chip manufacturing capacity but shortages are shifting deeper into the semiconductor supply chain.

Reflecting its bullish outlook, Nomura raised its global server market forecasts, expecting AI infrastructure spending to remain robust over the next two years.

"We are raising our 2026-27F server market forecasts on stronger AI and general/CPU server sales," the report said. It now expects global server revenue to grow 74 per cent year-on-year in 2026 and a further 65 per cent in 2027, supported by continued AI deployment.

The report noted that while supply shortages and higher component prices could create short-term volatility, they also reinforce its view that demand for AI infrastructure remains strong and that the current investment cycle still has room to run. (ANI)

(The above story is verified and authored by ANI staff, ANI is South Asia's leading multimedia news agency with over 100 bureaus in India, South Asia and across the globe. ANI brings the latest news on Politics and Current Affairs in India & around the World, Sports, Health, Fitness, Entertainment, & News. The views appearing in the above post do not reflect the opinions of LatestLY)