Lam Research Down 34% in a Month as AI Trade Gets Repriced

Lam Research (LRCX) has lost about 34% of its value in a single month. That figure measures how violently the market has repriced the AI infrastructure trade, and it frames the unusual split now running through sell-side research.

Bernstein analyst Stacy Rasgon reportedly still likes the stock. His view stands out at a moment when investors are reassessing how much they will pay for AI-related earnings. The market, for now, has not decided whether he is early or simply right.

What changed on the sell side?

Wells Fargo has stopped telling investors to avoid AI infrastructure. In a new note, analysts led by Ohsung Kwon raised the firm's view on US AI infrastructure to neutral, from negative. That is not a bullish call. It is a change of stance after a deep and punishing selloff.

The scale of that selloff is the context. Semiconductor shares now trade roughly 38% below their June highs, and the multiples investors pay for those shares have compressed sharply.

What do current valuations imply?

At current prices, the Wells Fargo analysts said, valuations imply earnings growth of only about 8% a year. A compressed multiple means investors pay less for each dollar of expected profit. This can happen even while earnings continue to rise, which explains how a stock, or an entire sector, can fall sharply while the underlying business improves.

The decline, in other words, is at least partly a valuation reset rather than pure deterioration in fundamentals. Lam Research's roughly 34% monthly drop fits that pattern. The company sits in the semiconductor capital-equipment cycle, and the market has de-rated it alongside other AI infrastructure names.

Rasgon's continued interest suggests at least one prominent analyst believes the selloff has gone far enough to improve the risk-reward balance. Near-term sector sentiment, however, remains fragile.

Why has politics entered the picture?

The midterm elections added a new worry. Democratic wins, including in states that oppose new data centers, have fueled concerns about regulation. A stricter permitting climate could slow construction and raise its cost, which would cut into the spending that has fed AI company revenue.

That matters across the entire supply chain — chips, equipment, networking, and data-center construction. AI infrastructure demand depends not only on corporate budgets but also on the ability to build and power facilities on time.

How much value has the market lost?

The selloff has erased about $3 trillion from the S&P 500. That number shows how much market value had been tied to the AI infrastructure story.

Against that backdrop, Wells Fargo's move to neutral looks less like an endorsement and more like a judgment that valuations have adjusted enough to justify a less bearish stance.

For Lam Research, the open question is whether a 34% monthly decline has already priced in the sector's valuation compression and political risks. The alternative: permitting uncertainty, slower construction, and a still-unfolding AI spending debate keep the stock under pressure. Rasgon is willing to look past the pullback and stay constructive; the rest of the market is still deciding whether that view is early or right.