NYU finance professor Damodaran warns an AI crash could hit harder than the dot-com bust
2026-06-22
Summary
NYU finance professor Aswath Damodaran warns that a potential crash in the AI sector could be more severe than the dot-com bust due to the significant physical infrastructure and debt dependency. He highlights that AI's business model lacks traditional software scalability, with ongoing costs for each use case, leading to potential value destruction. Additionally, Damodaran cautions that the societal impact could be profound if AI replaces jobs rather than augmenting them.
Why This Matters
This warning is crucial as it highlights potential risks in the AI industry that could affect not just investors but the broader economy and workforce. Understanding these risks can help businesses and policymakers prepare for potential disruptions and societal consequences associated with rapid AI integration.
How You Can Use This Info
Professionals should consider the financial and societal implications of AI investments, especially regarding infrastructure and workforce impacts. Keeping an eye on AI's evolving business models and maintaining flexibility in strategy, like Apple's cautious approach, could help mitigate risks. Additionally, preparing for potential job displacement by fostering adaptability and upskilling in the workforce may be beneficial.