Why AI Will Outlast the Dot-Com Bubble
Many observers draw parallels between today's AI enthusiasm and the dot-com bubble of 1995-2001. Are we headed for a similar crash?
Our research suggests fundamental differences that point to a more sustainable trajectory for AI:
Infrastructure Readiness: Unlike the dot-com era when only ~52% of Americans were online with dial-up connections, today's AI builds on mature digital infrastructure. Cloud computing, ubiquitous broadband, and sophisticated mobile networks mean AI innovations can scale instantly
Adoption Speed: ChatGPT reached 100 million users in just 2 months—a milestone that took the internet 7 years to achieve. McKinsey reports 65% of companies are already using generative AI regularly.
Real Revenue Models: While dot-com companies often lacked clear monetization strategies, today's AI is already generating tangible returns through subscription services, API access, and productivity enhancements.
Incumbent Advantage: Unlike the dot-com boom where startups led the charge, today's AI revolution features established tech giants with strong balance sheets and existing revenue streams.
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