The rapid building of excess capacity both extends bubbles and ultimately bursts them
THE artificial intelligence (AI) “bubble” looks to be approaching its endgame. The dramatic rise in AI capital expenditure by so-called hyperscalers of the technology and the stock concentration in US equities are classic peak bubble signals. But history shows that a bust triggered by this over-investment may hold the key to the positive long-run potential of AI.
AI stocks have exhibited bubble characteristics for a while. Share prices have skyrocketed, driving excessive index concentration. AI companies are doing deals between themselves, helping inflate their valuations. And they are buying each other’s products and using vendor financing to sustain growth.
Until recently, the missing ingredient was the rapid build-out of physical capital. This is now firmly in place, echoing the capex boom seen in the late-1990s bubble in telecommunications, media and technology stocks. That scaling of the Internet and mobile telephony was central to sustaining “blue sky” earnings expectations and extreme valuations, but it also led to the TMT (technology, media and telecom) bust of 2000 to 2002.
