Business News Tech AI China's AI data centre boom faces Return-on-Investment test as financing costs rise: Goldman Sachs
China's AI data centre boom faces Return-on-Investment test as financing costs rise: Goldman Sachs
Goldman Sachs examined three business models in China's data centre sector: traditional powered-shell facilities, integrated AI data centres that provide graphics processing unit (GPU) computing services under long-term contracts, and AI token factories that generate revenue by processing AI workloads.
China's rapidly expanding artificial intelligence (AI) data centre sector is facing growing pressure to demonstrate profitable returns on investment as rising financing costs and investor concerns shift attention from capacity expansion to capital efficiency, according to a Goldman Sachs research report. The report said stronger-than-expected demand for AI infrastructure has improved the medium-term growth outlook for Chinese data centre operators . However, as new orders translate into long-term contracted capacity, the sector is increasingly being judged on its ability to generate returns that exceed the cost of capital.
" This shift comes as investors assess whether the substantial capital required for AI infrastructure can generate sufficient returns, particularly amid rising financing costs. Goldman Sachs examined three business models in China's data centre sector: traditional powered-shell facilities, integrated AI data centres that provide graphics processing unit (GPU) computing services under long-term contracts, and AI token factories that generate revenue by processing AI workloads. Traditional powered-shell data centres offer relatively stable infrastructure revenues but may generate limited returns without favourable financing or asset-sale opportunities. The report estimated gross return on invested capital (ROIC) at around 5 per cent under its base-case assumptions.
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