Big Tech is spending trillions on AI. Investors now want proof it will pay off.
As technology stocks experience a significant selloff this week, investors are left wondering if the massive spending on artificial intelligence by Big Tech will yield the expected returns. The Nasdaq Composite Index has dropped nearly 5% amid concerns about whether the trillions of dollars being invested in AI will result in the revenue and profit growth necessary to justify the high costs.
According to Goldman Sachs, tech companies are projected to spend $7.6 trillion by 2031 to construct thousands of new data centers to support the advancement of AI. However, there are doubts emerging about whether there is enough demand from consumers and businesses willing to pay for these services. This skepticism is compounded by the fact that tech giants like Alphabet, Amazon, Meta, Microsoft, and Oracle are heavily leveraging debt to fund their AI infrastructure projects.
Kate Brennan from the independent research institute AI Now expressed concerns about the lack of returns on these investments and the questionable claims about the efficiency and productivity gains from AI. Additionally, there is a growing apprehension among consumers and workers about the impact of AI on jobs and society as a whole.
Despite the increasing prevalence of AI in daily life, many consumers are using AI out of necessity rather than desire. Companies are pushing for widespread AI adoption driven by financial incentives, even if the demand from customers is not substantial.
Bubble or bust?
There are fears on Wall Street of an AI bubble, drawing parallels to the dotcom bubble of the late 1990s. While some companies may emerge as profitable leaders in the AI space, others could see their core businesses become obsolete in a rapidly evolving AI economy. Investors are advised to brace for a volatile market as the AI landscape continues to unfold.
Jonas Goltermann of Capital Economics anticipates a slowdown in the rally of AI-related equities, with potential drops in the market in 2027. However, tech-heavy markets in the U.S. and Asia are expected to outperform in the near term.
The payback test
Economist Ed Yardeni highlights the crucial question of whether the capital spending by hyperscalers and other AI companies aligns with realistic revenue projections. While companies like Alphabet, Amazon, Meta, and Microsoft are investing heavily in AI infrastructure, the ultimate revenue generation from AI services remains uncertain.
Yardeni’s team conducted a capex payback test to assess the revenue generation capabilities of AI firms like OpenAI and Anthropic. The findings suggest that while the AI ecosystem is not yet fully revenue-backed, there is potential for improvement in the coming years if growth forecasts hold.
