To keep up with the growing demand for artificial intelligence (AI) technology, IT behemoths like Microsoft and Meta have boosted their capital expenditures to build AI data centres.
Investors are concerned about potential effects on short-term profitability, even though these investments demonstrate a strong commitment to extending AI advantages. Alphabet revealed similar patterns in its report on Tuesday, while Microsoft and Meta reported a substantial increase in their investment in AI infrastructure on Wednesday. Amazon is anticipated to follow suit with similar projections when it releases its earnings shortly. In addition to reinforcing the industry-wide competition to improve AI infrastructure, these rising expenses also threaten the companies’ profit margins, which is likely to annoy investors who are looking for quick returns.
Big tech stocks responded by declining during Wednesday’s after-hours trade. Despite exceeding analysts’ estimates for both firms’ recent quarter’s revenue and profits, Meta’s and Microsoft’s shares fell 2.9% and 3.6%, respectively. Additionally, Amazon’s stock witnessed a minor decline.
GlobalData analyst Beatriz Valle clarified: “The expense of running AI systems is high, with capacity demands escalating.”
Although the industry is quickly developing AI capabilities, she continued, it will be a long before businesses see a real return on their investment.
Microsoft reported a 5.3% rise in spending, surpassing $20 billion in its first fiscal quarter. The company’s quarterly capital expenditures now exceed its total yearly expenditure until 2020. Because of data centres constraints, the IT giant expects its Azure cloud business to develop more slowly.
The head of Technology Research at D.A. Davidson, Gil Luria, pointed out that Microsoft’s significant expenditures this year may have an impact on profit margins in the years to come. He suggested that every year of aggressive investment adds a long-term expense to the company’s balance sheet.
Meta also cautioned about the rising expenses of AI infrastructure in the upcoming year, citing a current emphasis on AI development despite the financial constraints. Growth is nonetheless hampered by industry obstacles, including data center capacity limitations and difficulties in the semiconductor supply chain, BrandSpur technology, and information news reports.
Supply shortages are predicted to last into next year and even top chipmaker Nvidia is having trouble keeping up with demand for AI chips. Additionally, Advanced Micro Devices (AMD) revealed this week that its capacity to capitalise on market demand is being impacted by the fact that demand for its AI processors is exceeding supply.
The CEO of Meta, Mark Zuckerberg, highlighted the enormous potential in the AI industry that remains unrealised by comparing the investments in AI infrastructure to the early days of cloud technology expansion.
According to him: “Investors may be concerned with the short-term expenses, but the opportunities we’re building toward are substantial.”
