To The Moon

After months of strong gains, semiconductor stocks have suddenly become one of the most debated areas of the market.

The recent sell-off has been painful. Concerns about the sustainability of AI spending, data-centre construction delays, high valuations and uncertainty following the US midterm elections have triggered a rapid unwinding of the AI trade.

But Monday brought a sharp rebound. The $iShares Semiconductor ETF(SOXX)$ jumped approximately 7%, as investors returned to chip stocks that had suffered significant losses.

Some Wall Street analysts believe the correction has created an attractive entry point. Others warn that the sector could have further to fall.

So, is this the opportunity investors have been waiting for, or is it too early to buy?

1. Why chip stocks have fallen so sharply

The semiconductor rally was built on expectations that AI investment would continue growing rapidly.

Companies supplying GPUs, memory chips, networking equipment and data-centre processors benefited from enormous demand. Investors were willing to pay premium valuations because they expected future earnings to grow substantially.

However, expectations have become increasingly difficult to maintain.

There are several concerns:

• Data-centre spending: Political and regulatory uncertainty could delay some infrastructure projects.

• AI monetisation: Technology companies are spending billions on AI, but investors still want clearer evidence that these investments will generate sufficient returns.

• Valuations: Even after the recent declines, some semiconductor stocks still depend on strong future earnings growth to justify their prices.

• Technical pressure: The Philadelphia Semiconductor Index has broken below its 200-day moving average, raising concerns about further downside.

The important distinction is that a slowdown in spending does not necessarily mean AI demand is disappearing. Projects could be delayed rather than cancelled.

That is the argument behind the more optimistic analysts’ view.

2. $NVIDIA(NVDA)$ :Still the leading AI chip opportunity?

Nvidia remains one of the most closely watched stocks in the semiconductor sector.

Despite recent weakness, its position in AI accelerators remains strong. Its hardware, software ecosystem and relationships with major cloud providers give it a competitive advantage.

Some analysts believe the recent decline has created an attractive valuation. Cantor Fitzgerald highlighted Nvidia trading at approximately 9 times estimated 2028 earnings, arguing that its leadership in AI accelerators could make it more resilient if the market slows.

However, there is another issue investors cannot ignore.

The controversy surrounding CEO Jensen Huang and the board’s independent investigation has added a governance concern at an already difficult time for the stock.

Even if Nvidia’s business fundamentals remain strong, investor confidence matters. The upcoming earnings report will be important because the market wants evidence that AI demand remains healthy and that the company’s growth outlook is still intact.

For long-term investors, Nvidia’s competitive position remains attractive, but governance concerns and market expectations add uncertainty.

3. $Micron Technology(MU)$ : Is the memory sell-off overdone?

Micron is another interesting candidate.

AI servers require substantial amounts of high-bandwidth memory (HBM), while growing data-centre workloads also support demand for conventional DRAM and storage.

This gives Micron exposure to several parts of the AI infrastructure market.

Cantor Fitzgerald highlighted Micron trading at approximately 3 times estimated 2028 earnings. Analysts also see potential for share buybacks after federal restrictions under the CHIPS Act expire in December.

But investors should be careful with forward earnings multiples.

A stock trading at three times future earnings may look extremely cheap, but those estimates depend on earnings actually reaching the projected levels. If memory prices weaken or demand disappoints, forecasts could be revised downwards.

Memory is also a cyclical industry. Strong demand can lead to higher prices and excellent profits, but increased supply can eventually put pressure on margins.

The key question is whether AI-related demand can remain strong enough to support the current memory cycle.

4. $SanDisk Corp.(SNDK)$ :A high-risk opportunity in AI storage

SanDisk has also attracted attention after its significant decline.

AI development requires more than computing power. Data must be stored, accessed and processed efficiently, creating opportunities for NAND flash memory and enterprise SSD suppliers.

Cantor Fitzgerald reportedly values SanDisk at approximately 2.6 times estimated 2028 earnings and sees substantial potential free cash flow through that period.

Morgan Stanley has also highlighted the possibility of significant share buybacks.

That sounds attractive, but SanDisk is not a risk-free bargain.

Its future performance depends on enterprise storage demand, NAND pricing, competition and the ability to maintain profitability. A low forward valuation could reflect genuine market pessimism, but it could also be based on earnings estimates that prove too optimistic.

Investors should look beyond the headline multiple and examine whether cash flow can be sustained.

5. The biggest warning: Cheap does not mean the bottom is in

Not everyone on Wall Street believes this is the right time to buy.

BTIG’s technical analyst Jonathan Krinsky has warned that the semiconductor index’s break below its 200-day moving average could signal further weakness.

He also pointed out that historical returns following similar technical breakdowns have not always been encouraging.

Another concern is that semiconductor stocks have already enjoyed enormous gains this year. Even after the correction, the Philadelphia Semiconductor Index was still up more than 40% year to date as of Monday afternoon.

In other words, the recent decline may look severe, but it does not necessarily mean valuations have returned to attractive levels across the entire sector.

There is also a bigger question about AI profitability. Companies are investing heavily in infrastructure, but if the financial returns do not justify the spending, future capital expenditure could slow.

That would affect chipmakers even if their technology remains competitive.

6. My approach: Look for quality, not just the biggest discount

I would not treat the entire semiconductor sector as one buying opportunity.

Different companies have different growth drivers and risks.

Nvidia offers exposure to AI accelerators and its established software ecosystem. Micron benefits from memory demand, particularly HBM, but remains exposed to the memory cycle. SanDisk offers exposure to AI storage demand, although NAND pricing and competition can create earnings volatility.

$Broadcom(AVGO)$ is another company worth watching because of its exposure to custom AI chips and networking infrastructure. Its opportunity is different from Nvidia’s, but it could benefit as hyperscalers expand their AI computing capacity.

Rather than buying simply because a stock has fallen 30% or 40%, I would look for three signs:

1. Earnings estimates remain stable: The share price is falling, but analysts are not significantly cutting future profit forecasts.

2. Demand remains visible: Companies continue reporting strong orders, customer commitments and infrastructure spending.

3. Price action begins to stabilise: The sector stops making lower lows and starts showing signs of sustained buying rather than a one-day rebound.

I would also consider building positions gradually instead of investing all available capital at once. If the correction continues, having cash available can be just as valuable as finding a cheap stock.

Final thoughts

The recent semiconductor sell-off has created some interesting opportunities, but it has also exposed how much optimism was already reflected in chip valuations.

I believe the long-term AI infrastructure opportunity remains significant. However, the next phase may reward investors who are selective rather than those who simply buy every dip.

Nvidia, Micron, SanDisk and Broadcom all offer different ways to participate in the AI semiconductor market. The challenge is identifying which companies can turn future demand into sustainable earnings and cash flow.

The best buying opportunity may not be the stock that has fallen the most, but the one whose business outlook remains strongest despite the correction.

For discussion purposes only, not financial advice.