Rapid AI growth risks inflating economic bubble, analyst warns
A commentator warns that rapid AI infrastructure investment is straining corporate finances, raising bond yields, and adding inflationary pressure, which could force global interest rates higher. Cybersecurity threats linked to AI also pose growing risks.
Despite repeatedly warning that artificial-intelligence stocks are showing clear signs of a bubble, veteran independent commentator Andrew Wong acknowledges that rapid AI development has provided significant momentum to the global economy and has become a key factor supporting the resilience of global GDP growth in 2026.
However, writing in The Standard on 9 November 2026, Wong cautions that when investment in AI infrastructure expands too rapidly, many companies begin to experience sustained net cash outflows, putting increasing pressure on their financial positions. He notes that numerous companies have had to rely on debt financing to fund AI infrastructure investments, which could push global bond yields higher. At the same time, the enormous demand for resources and energy generated by AI infrastructure could add to inflationary pressures, potentially forcing central banks around the world to maintain higher interest rates or raise them further.
Wong describes rapid AI development as a double-edged sword. On one hand, it continues to fuel financial market exuberance and support global economic growth as companies commit trillions of dollars to AI infrastructure investment. On the other hand, it is placing increasing strain on corporate balance sheets, adding to global inflationary pressures and potentially driving interest rates higher across major economies. Striking the right balance between advancing AI technology and preventing economic and financial bubbles from developing is therefore an increasingly challenging task, he writes.
The challenges are not confined to the economic and financial sectors. Wong points out that the excessively rapid advancement of AI has also created a growing number of cybersecurity concerns. Over the past few months, there have been numerous cyberattack incidents, several of which have had links to AI-related developments. These attacks have inflicted damage on the global economy and represent another critical issue that needs to be seriously addressed as AI continues to evolve.
Wong argues that the bursting of the AI stock bubble could actually provide the world with an opportunity to step back and reconsider the direction in which AI development should proceed. Only through such a reassessment, he writes, can AI achieve sustainable and healthy long-term growth. He compares the situation to the bursting of the dot-com bubble in the early 2000s, after which the global technology sector was able to move toward a more sustainable and rational development path.