The current market reaction to AI is striking in its speed and simplicity: Capital is flowing aggressively into infrastructure.
Semiconductors, memory, and data centers—driven by companies like Nvidia, ASML, Samsung, and SK Hynix—are being treated as the obvious winners. At the same time, large parts of the software economy, including players such as SAP, ServiceNow, Intuit, and Thomson Reuters, are being repriced as if their futures have already been decided.
We have seen similar patterns in previous technology cycles.
Markets tend to compress complex transitions into binary outcomes. You are either on the right side of the shift, or you are not. However, reality is rarely that clean.
What we are witnessing is not a final verdict on entire sectors; it is a reflection of uncertainty.
AI introduces a level of structural change that undermines the reliability of existing valuation models. When that happens, markets look for clarity and often find it in the most tangible layer: infrastructure. It is easier to understand demand for chips and compute than to assess how software, services, or business models will evolve.
That does not make the market logic wrong but merely incomplete.
In moments like this, differentiation does not occur at the sector level. It happens at the leadership level.
Two companies in the same industry, with similar products and market positions, can take very different paths. One treats AI as an incremental feature. The other uses it as a reason to rethink how value is created. The difference between the two is rarely visible in the early stages, but it becomes decisive over time.
This is why labeling entire categories as “at risk” would be too simplistic.
Some business models will not survive. That is part of any structural shift. However, many of the companies currently being discounted are not failing because of AI. They are being questioned because it is unclear how they will respond.
And that uncertainty is justified.
AI does not reward incremental adjustments; it forces companies to confront the core logic of their business. Where does value come from? What can be automated? What remains differentiated?
These are strategic questions, not technical ones.
The current rotation in the market is therefore less about identifying winners and losers. It is more about identifying who is willing to make those decisions early.
Because in the end, the advantage will not come from being in the “right” sector.
It will come from having the clarity and discipline to evolve a business model before the market demands it.
Disclaimer: The information provided in this article is solely the author’s opinion and not investment advice—it is provided for educational purposes only. By using this, you agree that the information does not constitute any investment or financial instructions. Do conduct your own research and reach out to financial advisors before making any investment decisions.