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NewsMaterial2 min readDisconfirmAI Editorial

Delta Electronics Identifies Material, Power, and Labor Shortages as Key Bottlenecks for AI Data Center Expansion

Delta Electronics reported record Q3 revenue but warned that material shortages, power constraints, and skilled labor gaps are hindering smooth supply chain growth amid the AI infrastructure boom.

2026-10-29 16:16 GMT+8

Taiwan-based power and component manufacturer Delta Electronics held its third-quarter earnings call on October 29. Liu Liangfu, Chairman and CEO of Delta Capital, stated that as global demand for AI infrastructure surges, insufficient raw material supply, difficulty in securing power, and a shortage of specialized technical personnel have become the three major bottlenecks for data center expansion, making it difficult to maintain smooth revenue growth across the supply chain.

In terms of financial performance, Delta's consolidated revenue for Q3 reached NT$197.059 billion, up 31% year-over-year, marking a new historical high. Net income attributable to the parent company was NT$23.495 billion, up 26% year-over-year. However, affected by supply chain shortages and delays in some data center constructions, shipments of certain products were obstructed, leading to increased inventory. Combined with accounting recognition related to inventory write-downs, the gross margin dropped to approximately 34.1%, a quarter-over-quarter decrease of about 1.5 percentage points.

Liu detailed the three bottlenecks. First is the raw material supply issue; the supply chains for semiconductors and certain passive components cannot significantly increase capacity in a short time, further affecting equipment delivery progress. Second is power supply. Currently, global data center electricity consumption is about 500 TWh, accounting for roughly 1.5% of global electricity use. If extrapolated based on current expansion scales, power demand could double to about 1,000 TWh by 2030. In addition to relying on existing grids, data centers may need to build behind-the-meter power systems.

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The third challenge is the shortage of specialized technical personnel. Using the US market as an example, Liu pointed out that local AI data centers are gradually adopting high-voltage direct current (HVDC) power architectures, which require licensed electricians for construction, but the labor supply is tight. He cited that some senior electricians with professional qualifications moving to AI data center sites could see their annual salaries rise from about $100,000 to $300,000-$400,000.

Addressing concerns about overheating AI investment, Liu stated that while there are doubts about the profitability and cash flow of AI companies, demand remains strong based on the revenue and cash flow performance of large AI firms. He expects major cloud service providers and emerging cloud operators to maintain capital expenditures on AI infrastructure, with construction demand likely continuing until 2030. However, he emphasized that constrained by these physical conditions, supply chain revenue growth may still experience fluctuations.

Sources

  • finance.technews.twTechNews 科技新報↗
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