Is the AI Sector on the Brink of a Dot-Com–Style Reckoning?

We’ve seen this movie before: sky-high valuations, relentless hype, and a seismic shift in cost structures that leaves incumbents vulnerable. Think early 2000s dot-com bubble—only this time, it’s AI.

Enter DeepSeek. It’s not about outsmarting the competition; it’s about delivering comparable performance at a fraction of the cost. That alone threatens the economic assumptions propping up giants like OpenAI and Nvidia, which have thrived on the idea that cutting-edge AI demands astronomical compute.

The “Magnificent Seven” tech firms have their valuations pinned to AI dominance. If the market senses their lead is precarious, a trillion-dollar correction is on the table. And if hardware needs shrink or get commoditized, Nvidia especially could see a rapid deflation in value.

Meanwhile, Perplexity challenges Google Search. Open-source models like Mistral, DeepSeek, and Llama undercut proprietary LLMs. Plummeting infrastructure costs open doors for smaller players—and dry up big-tech moats.

This won’t necessarily crash overnight, but every sign of an AI bubble is flashing. The dot-com bust saw the Nasdaq drop 78%. If these AI powerhouses collapse under their own operating costs and overblown expectations, we might be headed for a real reckoning.