Is AI Another Dot-Com Bubble?

The article examines the current surge in investment in artificial intelligence (AI) infrastructure, particularly the massive spending on data centers by major technology companies, and questions whether this build-out represents a sustainable economic model or a speculative bubble. It draws parallels to the early 2000s telecommunications boom, which ended in a $500 billion industry crash, highlighting concerns about the rapid depreciation of essential hardware like graphics processing units (GPUs), energy supply bottlenecks, and the limited immediate financial returns from AI projects. While some experts and investors warn of overinvestment and uncertain payback, proponents argue that AI's long-term potential justifies the costs, noting that big tech firms have substantial cash reserves and are focused on future growth. The article also discusses the opaque financing methods used for data center expansion and suggests that early signs of a market correction may appear in venture capital funding trends.