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AI doom is getting crowded

Published:
• 6 min read
AI doom is getting crowded

AI doom is getting crowded.

Not because the risks are fake. They are not. AI can break workflows, compress software margins, flood the internet with junk, and make already fragile systems move faster than the people responsible for them. That part is real.

But markets have a habit of turning every real thing into a crowded trade.

First everyone wants the AI winners. Then everyone wants the AI doom angle. Then every conversation becomes Nvidia, agents, chips, model risk, cyber risk, or SaaS getting eaten.

Meanwhile, boring quality companies just sit there.

Pepsi is not going to win a demo day. LVMH is not an AI platform. Novo Nordisk is not a GPU trade. Netflix is not building the model layer.

But these companies have something most AI narratives still have to prove: customers, pricing power, distribution, cash flow, brands, habits, and the ability to keep paying owners while the market argues with itself.

That matters more if the next few years are not another straight line up.

If global equities drop 30 or 40 percent and take years to recover, the cleanest question is not who had the best story. It is who kept producing cash, who kept customers, who could keep paying dividends or buying back stock, and who did not need perfect sentiment to survive.

A portfolio needs more than one engine

This is not an argument against growth.

I still want growth stocks. I still want broad world-index exposure bought every month. I still want the upside from companies that can compound much faster than GDP.

But a good portfolio probably needs more than one engine.

One engine is broad indexing.

It keeps you from being too clever. It owns the winners you did not see coming. It lowers the cost of being wrong about any single company.

One engine is high-conviction growth.

That is where the real upside lives. These are the names where a 10-15 percent annual return is not fantasy if the business keeps executing and the entry price is not stupid.

And one engine is quality value and dividends.

Boring companies that pay you to wait.

That last bucket is easy to ignore in a bull market. When everything goes up, a 4 or 5 percent dividend looks pedestrian. It feels like bringing a thermos to a fireworks show.

But the thermos looks better when the fireworks stop.

The hedge is not cash. It is boring ownership.

I do not mean hiding in cash forever.

Cash has a role. It gives you optionality. But cash also forces a second decision: when do you go back in?

The more interesting hedge is owning companies that can keep compounding through a weak market because their products are habitual, their brands matter, and their cash flow does not depend on venture-style optimism.

That is where names like PepsiCo, LVMH, McDonald’s, Procter & Gamble, Coca-Cola, or Nestle become worth reviewing. Not because they are exciting. Because they are not trying to be.

PepsiCo is snacks, beverages, distribution, shelf space, and a dividend.

McDonald’s is franchised scale, real estate economics, pricing power, and absurd global habit.

LVMH is luxury brands and distribution that competitors cannot copy just because capital gets cheap.

Novo Nordisk is more cyclical than people want to admit right now, but it still owns serious healthcare demand and cash generation if the growth reset is priced correctly.

These are not all buys at any price. That is lazy.

But they belong on the review list if the portfolio is already heavy in tech, AI infrastructure, and platform growth. A 30-40 percent drawdown in the market would hurt them too. The difference is that many of these businesses can keep selling, keep paying, and keep returning capital while the expensive stuff waits for sentiment to recover.

That is the actual hedge: not avoiding volatility, but owning businesses that can survive it without needing a perfect narrative.

Pepsi is a useful example

Pepsi is not suddenly a great growth stock.

That is the wrong pitch.

The better pitch is simpler: at the right price, a durable consumer staple with a high dividend yield can be a useful portfolio tool.

If you start with a dividend yield around 4-5 percent, you do not need heroic growth to get a respectable return. Modest earnings growth, stable cash flow, and some valuation normalization can get you into decent territory.

That does not make it a fat pitch. It does not make it better than every growth stock. It does not mean the dividend is magic.

The dividend still has to be covered by free cash flow. Debt still matters. Slow growth still matters. Execution still matters.

But the role is different.

Pepsi is not there to beat the AI trade in a raging bull market.

It is there to keep paying you if the market goes nowhere for three years.

That is not nothing.

Quality is not the same as excitement

The same logic applies beyond Pepsi.

LVMH is tied to luxury demand and sentiment. Novo Nordisk has GLP-1 competition, capex pressure, and a market that has stopped treating it as perfect. Netflix is more durable than the old streaming bear case suggested, but still needs price discipline.

None of these are risk-free.

That is the point.

The opportunity is not that they are obviously perfect. The opportunity is that the market may be spending so much attention on AI winners and AI losers that it underprices slower, cash-generating quality elsewhere.

Sometimes boring is just boring.

Sometimes boring is mispriced.

The work is knowing the difference.

AI should not occupy the whole portfolio conversation

AI is important. It deserves portfolio attention.

But it should not occupy every inch of the portfolio conversation.

There is a difference between being aware of a platform shift and letting one theme swallow the entire decision process.

If every stock is judged only by “does AI help it?” or “does AI kill it?”, the portfolio gets narrower than it looks. It becomes a disguised macro bet on one narrative.

That is dangerous even if the narrative is directionally right.

The better setup is more balanced:

That is not as exciting as pretending the portfolio has one perfect answer.

Good.

Portfolios should be slightly boring on purpose.

The more crowded AI gets, both on the upside and the doom side, the more interesting quality companies become. Not because they are immune to the future. Because they give you another way to win.

Maybe the trade is not to run away from AI.

Maybe it is to stop letting AI decide every question.



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