Is the AI scare causing the “Blue Giant” to stumble?

Why is IBM’s 11% drop really happening?

When IBM plummeted 11% in a single day due to AI-related concerns, the market’s first reaction was: Even the “Blue Giant” can’t hold up? But a closer look at the logic reveals that it’s often not the technology that’s falling, but expectations.
In the AI race today, the key is that the “growth curve must look like a rocket,” and any slowdown immediately prompts capital to vote with its feet.

IBM’s positioning isn’t as a traffic-driving AI star, but as a veteran enterprise solutions provider, focusing on hybrid cloud, consulting, and industry implementation. The problem is that when the market is accustomed to high-growth stories, stability can be misinterpreted as mediocrity.
Investors worry about the pace of AI orders, profit realization cycles, and the gap in competition with emerging companies, so emotions lead, and prices fall first.

But from another perspective, enterprise AI isn’t about blockbuster apps; it’s a long-term penetration project. Slow signing of big clients and long deployment cycles make it more sticky. The 11% correction is more like a correction of short-term narratives rather than a denial of the company’s survival ability.

Humorously speaking, the market expects IBM to run wildly like a young startup, but forgets that it’s a corporate consultant in a suit and tie. Different pace means different valuation temperaments.
The key question is: are you buying explosive growth or stable cash flow? #AI担忧导致IBM暴跌11%