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If we look back at what has driven markets higher in 2026, the answer is hard to dispute: the AI hardware trade.
There is no shortage of arguments defending the semiconductor rally. Bulls point to low forward valuations, a powerful AI capex cycle, expanding free cash flow, and the idea that many of these companies possess durable moats. On the surface, the case is compelling. Connectivity, memory, storage, and semiconductor companies have all benefited enormously from the hyperscalers’ commitment to building out AI infrastructure.
The numbers are real. This is not a speculative story with no earnings behind it. Many companies across the AI hardware supply chain are generating record revenue, record profits, and record free cash flow.
The more important question is how long this earnings expansion can last.
As much as semiconductor CEOs may argue that their companies are creating unique and irreplaceable value, much of the current profit pool is ultimately funded by hyperscaler capex. Every dollar of incremental AI hardware revenue depends, in one form or another, on the willingness and ability of large cloud and internet platforms to keep spending. If that spending slows, the entire supply chain will feel it, regardless of how strong any individual company’s product may be.
This is the key risk investors may be underestimating: capex cannot grow forever. Hyperscalers are already investing aggressively across datacenters, chips, memory, networking, and power. They still have access to capital, and they still have strategic reasons to keep spending. But we are likely much closer to the later stages of capex acceleration than the beginning.
Over the next 12 to 18 months, I suspect two things will happen.
First, hyperscalers will face increasing pressure to finance the AI buildout. Their war chests are not unlimited. Free cash flow is being consumed by an accelerating wave of infrastructure investment. To sustain this pace, some companies may need to take on more debt, issue equity, or accept meaningfully lower free cash flow conversion. That does not mean AI capex stops immediately, but it does mean the cost of continuing the buildout rises.
Second, the AI hardware trade will stop moving as one uniform basket. Up to now, the market has rewarded almost every company with exposure to the AI infrastructure cycle. That is unlikely to continue indefinitely. As demand matures, each company will have to prove that it can defend margins, gain share, and convert today’s demand into durable earnings. The market will begin separating structural winners from cyclical beneficiaries.
Not every hardware company can be a long-term winner. A rising capex tide has lifted nearly the entire AI supply chain, but competition will eventually pressure pricing, margins, and returns. When growth slows, investors will care less about AI exposure in general and more about who controls the scarce bottlenecks, who can sustain pricing power, and who can generate free cash flow through the cycle.
The AI hardware boom is real. The earnings are real. But the market is increasingly pricing many of these companies as if the current capex cycle can continue indefinitely and as if every participant in the supply chain will retain today’s economics.
That is the part I find most difficult to underwrite. The free market is ultimately about profit and loss, winners and losers, competition and innovation.
No matter how much financial engineering is done, one plus one will always equal two, and every dollar earned by the hardware supply chain is a dollar spent by someone else.
The next phase of the trade is not going to be about whether AI infrastructure demand exists. It clearly does. The question is whether the market has overcapitalized the first wave of that demand and overestimated how broadly the profits will be distributed over the long run.
TLDT;
In the early stage of the boom, owning almost any AI hardware exposure worked. You missed it if you aren’t in it. But as the music slows, selectivity and caution will matter far more. Winners may continue to outperform, but companies that fail to execute will be left behind.
H
The AI hardware trade may not be over. But the easy part of the trade probably is.