$纳指100ETF(QQQ)$  [微笑]  QQQ Drops 1%+ — Can Elevated Yields Break the Tech Bull?

Monday’s pullback in $QQQ is easy to explain: yields are rising, oil is adding to inflation pressure, and investors are taking profits in high-beta tech. But I think the more interesting question is not whether higher yields hurt technology — they obviously do. The real question is whether AI-driven earnings growth is strong enough to absorb the higher cost of capital.

The 10-year Treasury yield climbed to around 5.23%, its highest level since 2007, while the Nasdaq Composite fell 0.9% on Monday. The move came as oil prices and geopolitical uncertainty revived inflation concerns and pushed expectations for further Fed tightening higher.

That creates a genuine valuation problem for QQQ.

When the risk-free rate rises, the present value of future cash flows falls. This matters particularly for long-duration growth stocks, because a larger portion of their valuation depends on profits expected years into the future. In other words, the market doesn't necessarily need to believe that AI is “wrong” to sell AI-related stocks — investors may simply demand a lower multiple for the same future earnings.

But there is another side to the equation.

AI is no longer purely a distant-growth story.

Hyperscalers are already spending enormous amounts on data centers, networking, accelerators and power infrastructure. Nvidia's recent $150 billion expansion of its buyback program is also a reminder that some of the biggest AI beneficiaries are generating substantial cash rather than merely promising future revenue. Nvidia actually rose 1.6% Monday even while the Nasdaq fell.

That divergence is important.

If rising yields were destroying the AI thesis itself, we would expect the strongest AI beneficiaries with the highest expectations to be uniformly collapsing. Instead, we're seeing rotation within technology: semiconductors and other high-beta names are taking heavier damage while investors reassess which companies have the earnings and cash flow to justify their valuations.

And there is a second warning sign: market breadth.

A strong index can hide significant weakness underneath the surface. Some recent market commentary has pointed to unusually narrow participation, meaning the headline index remains relatively resilient while the median stock is considerably weaker. That doesn't automatically mean a bear market is coming, but it does tell us that simply looking at QQQ or the Nasdaq headline number may underestimate the amount of internal stress.

So what would actually make me more concerned?

Not one 1% down day.

I'd watch three things:

1. Yields staying above 5% rather than briefly touching it.

Reuters notes that the recent move above 5% is unusual and technically significant. If the 10-year yield establishes a sustained higher range, valuation pressure on long-duration equities could become much more persistent.

2. AI capex failing to translate into earnings.

This is the bigger fundamental test. Markets can tolerate expensive AI infrastructure if revenue, margins and free cash flow eventually catch up. But if hyperscalers continue spending aggressively while returns on that investment disappoint, investors could start questioning the entire AI capital cycle.

3. Earnings revisions turning negative.

Price declines caused by multiple compression can be relatively healthy. But price declines accompanied by falling earnings expectations are much more serious. That's the distinction I'd watch.

There is also an important macro contradiction here.

The Fed raised rates by another 25 basis points in September to 3.75%-4.00%, while explicitly noting that inflation remains elevated even as economic activity and capital investment remain solid.

So the market is facing a strange combination: strong growth + strong AI investment + high inflation risk + high yields.

That is very different from a traditional recessionary bear market.

My takeaway?

I wouldn't call Monday's QQQ decline the “first crack” yet. I'd call it a stress test.

The AI bull market doesn't necessarily need lower yields to survive. It needs earnings growth to stay ahead of the increase in the discount rate.

If yields rise but AI earnings continue accelerating, the market can simply rotate from expensive stories toward companies with real cash flow.

But if yields remain above 5%, oil keeps inflation elevated, and AI spending starts producing weaker-than-expected returns, then the market has a much bigger problem — because investors would be forced to question both sides of the equation: lower valuation multiples AND slower earnings growth.

That's when a normal pullback can become something much more serious.

For now, I think the most interesting battle isn't “Bonds vs Tech.”

It's “5% Treasury yields vs the ability of AI earnings to outrun them.”

And that battle is probably going to define the next phase of the tech cycle.[暗中观察]