The Sideways Price Action And Why?

The AI infrastructure trade is tiring out, and tech stocks aren’t going up in a straight line like they used to.

The jury is out now, and shareholders are taking a fine-tooth comb to see which one of these investments will pan out in the future.

Results have been harsh, with shareholders penalizing management with steep selloffs upon poor forecasts.

We are seeing this more and more lately.

That’s what explains this lull in the price action of tech stocks, and we have been trading sideways for many months now.

This is a stock picker’s market at this point.

And it seems like quite a waste, really.

So many great ideas and the ultimate decisions to just keep forcing capital into building AI data centers, acquiring chips, and scaling AI models to dominate the emerging landscape.

Yet, it appears that many of the second-order tech businesses won’t even be able to turn profits with all this data center capacity, which is why we haven’t embarked on the next leg up in the tech bull market.

NVIDIA’s shares have risen less than 1% since the start of the fourth quarter, hovering in a narrow range after peaking in late October.

One primary reason is that the market has already priced in much of the anticipated growth from AI infrastructure spending. NVIDIA’s explosive performance in prior years—nearly 40% in 2025 alone—reflected the initial excitement around generative AI. But as capex announcements have ballooned, with estimates now approaching $700 billion for the year,

A deceleration that signals the end of the hyper-growth phase. This normalization is evident in Nvidia’s valuation: trading at a forward P/E of around 25, below the semiconductor industry average, but still high enough to leave little room for error if growth falters.

When spending outpaces cash generation, it erodes investor confidence, leading to sell-offs even on strong revenue reports—as seen with Amazon’s shares tumbling after its capex reveal.

Infrastructure bottlenecks further exacerbate the issue. AI’s voracious energy demands are clashing with physical realities. The U.S. needs 130 gigawatts of new power by 2030 for data centers, but building that capacity takes seven years minimum.

Companies like CoreWeave have slashed spending by 40% due to electricity shortages, while Oracle turns away customers despite a $455 billion backlog—not for lack of chips, but watts.

It’s clear that electric power and computing bottlenecks stifle growth, creating underutilized capacity that racks up costs without revenue.

Market sentiment has also soured amid bubble fears and AI displacement trades.

Competition and diversification efforts are diluting Nvidia’s dominance. Big Tech is developing custom chips—Google’s TPUs, Amazon’s Trainium—to reduce reliance on Nvidia.

Rivals like AMD and Intel are gaining ground, while Nvidia’s gross margins near 75% signal pricing power but also invite scrutiny.

In conclusion, the AI spending surge isn’t igniting tech stocks because the market is grappling with delayed returns, cash strains, physical limits, and waning hype.

While AI’s long-term potential remains, the current repricing reflects a shift to realism.

The once-thought-of AI gold rush could quickly turn into overbuilt chaos, and that inflection point is looming.

Until then, we continue on the sideways correction, and I would urge readers to execute tactical call spreads on beaten down quality names.

I just executed one of these trades in META.