Chart of the Week: The Market Has Split in Two

In recent years, market dynamics have drawn parallels to the late 1990s dot-com boom, but the current driving force is artificial intelligence (AI). During this period, companies associated with the internet thrived, while those with consistent profits but no tech angle faltered. A similar trend is occurring today, where stock performance increasingly favors tech companies, particularly those tied to AI, over traditional profit-generating businesses.

Evidence shows a growing divide within the market. By November 2025, unprofitable tech firms experienced significant stock increases, outperforming established companies, including the so-called “Magnificent Seven,” which also enjoyed substantial gains. However, profitable companies, particularly those not leveraging AI, saw minimal increases in their stock, revealing a classic barbell market structure. Investors are particularly focused on early-stage tech linked to AI, next-generation computing, and energy infrastructure, disregarding current revenues in favor of future potential.

This trend highlights a critical investor sentiment: a desire to avoid missing out on transformative technologies bolstered by policy and global demand. Although reminiscent of the speculative behaviors seen in the dot-com era, today’s market includes established players that possess robust profits and critical infrastructure, differing significantly from the past.

Looking forward, the prevailing “barbell” market is expected to persist, with investor enthusiasm remaining concentrated on early-stage firms and major tech leaders, while traditional, profitable companies without AI relevance continue to be overlooked. This environment fosters a focus on strategic positioning over profitability, resulting in a sharp market division.

Why this story matters:

  • It underscores shifts in investor priorities from profitability to future potential in technology.

Key takeaway:

  • The market is increasingly favoring unprofitable companies leveraging AI over traditional firms with steady earnings.

Opposing viewpoint:

  • Some analysts caution against the parallels to the dot-com bubble, emphasizing that not all tech startups will succeed and risks remain high.

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