TAIWAN-TECHNOLOGY
Global tech giants continue to expand their investments in AI data centers and chips, but the massive capital expenditures have raised concerns about cash flow and return on investment.

Global technology giants continue to expand their investments in artificial intelligence (AI) infrastructure, but the heavy cost of data centers and chip purchases is beginning to pressure cash flows at some companies. Investors are concerned that if AI commercialization fails to keep pace with capital spending growth, the technology industry could face greater financial and valuation risks.

According to a Central News Agency report compiling foreign media reports on Oct. 30, Alphabet, Amazon, Microsoft and Meta are expected to spend more than US$720 billion this year on data centers and other capital investments, roughly triple the level of two years ago. The scale of that spending has become a key indicator of the development of the global AI industry.

The report said Alphabet’s AI-related capital spending exceeded US$50 billion in the quarter through September, pushing its cash flow into negative territory. Amazon’s free cash flow also turned negative after it expanded investment in data centers and related facilities. Meta is likewise facing increased funding needs and has considered raising money for AI development through measures including stock issuance.

The central question for investors is whether spending on AI infrastructure can be converted into revenue and profits within a reasonable period. Although demand for cloud computing, AI models and enterprise services remains strong, data-center construction, energy supplies, chip purchases and upgrades to computing equipment all require sustained and substantial funding.

Analysts at S&P Global Ratings said that market uncertainty could increase when companies’ investment growth continues to outpace growth in revenue and cash flow. If the commercial returns from AI services fall short of expectations, companies may need to reassess their capital-spending plans and even adjust their financing strategies.

The trend is particularly important for Taiwan’s technology industry. Taiwan plays a key role in the supply chains for AI servers, advanced semiconductors, chip packaging and electronic components. Continued AI investment by US technology giants will support demand for related industries in Taiwan, but any future cutbacks by major companies could also affect suppliers’ orders and capacity planning.

Rising capital spending, however, does not necessarily mean the AI market is about to cool. Some companies still believe their existing computing capacity cannot meet customer demand and that continued infrastructure expansion is necessary to remain competitive.

Markets will closely monitor the tech giants’ free cash flow, cloud-business revenue, demand for paid AI services and capital-spending levels to determine whether the AI investment race can continue to generate reasonable returns.