I think Qualcomm (NASDAQ: QCOM) is one of the more attractive large-cap AI semiconductor investments at current prices, particularly for an investor with a 2–5 year horizon. Whether it is a "great" buy this week depends on whether you're willing to tolerate near-term volatility after earnings.
Here are the reasons I've been adding shares.
1. The market is still valuing Qualcomm too much like a smartphone company
For years, Qualcomm's fortunes rose and fell with Android handset sales.
That is no longer the whole story.
Today, Qualcomm has meaningful growth businesses in:
- Automotive
- AI PCs
- Industrial IoT
- Edge AI
- Data-center inference
- Networking
Those businesses continue to become a larger percentage of revenue even while handset demand fluctuates. Automotive and AI PC adoption remain important long-term growth drivers.
2. Edge AI may become larger than many investors appreciate
One theme we've discussed several times is that AI won't live exclusively in data centers.
Billions of devices will perform inference locally:
- laptops
- robots
- industrial equipment
- drones
- automobiles
- XR headsets
- smartphones
This is Qualcomm's specialty.
Unlike Nvidia, whose strength is training enormous AI models, Qualcomm has spent decades designing extremely power-efficient processors.
As AI moves onto devices, Qualcomm's technology becomes increasingly valuable.
3. Snapdragon X is becoming a legitimate Windows competitor
Microsoft's AI PC initiative is only beginning.
Qualcomm's Snapdragon X processors have proven that ARM Windows laptops can offer
- exceptional battery life
- strong AI acceleration
- competitive CPU performance
Adoption won't happen overnight, but if Windows-on-ARM succeeds over the next several years, Qualcomm could become a much larger PC chip supplier than investors currently expect.
4. Automotive is becoming a very large business
My favorite part of the story.
Every modern vehicle is becoming
- a rolling computer
- AI platform
- communications platform
- autonomous sensing platform
Qualcomm supplies:
- Digital Cockpit
- ADAS
- connectivity
- infotainment
- AI processing
Automotive revenue has been one of the company's fastest-growing segments
and provides diversification away from smartphones.
5. AI infrastructure isn't only GPUs
Most investors think
Nvidia = AI
But AI requires an enormous ecosystem.
Qualcomm participates in:
- edge inference
- industrial AI
- networking
- enterprise AI
- automotive AI
- AI PCs
If inference increasingly shifts from centralized clouds to devices at the edge,
Qualcomm is well positioned.
6. Recent earnings weren't as bad as the headline suggested
The latest quarter showed:
- revenue slightly ahead of expectations
- continued strength in automotive
- continued expansion in AI PCs
The weakness came primarily from the smartphone business, which remains cyclical. That has weighed on investor sentiment despite progress in newer businesses.
7. Valuation
Compared with many AI leaders:
- Nvidia
- AMD
- Broadcom
Qualcomm generally trades at a lower earnings multiple.
That means investors are paying less for future growth.
If Qualcomm successfully proves it is an AI platform company—not just a handset chip company—the valuation multiple could expand.
That can create two sources of return:
- earnings growth
- multiple expansion
Risks
The biggest risks are:
- prolonged weakness in global smartphone demand
- slower-than-expected AI PC adoption
- increasing competition from MediaTek and Apple silicon
- geopolitical exposure related to China
None of these are trivial, but I don't think they negate the longer-term thesis.
My view
If I were ranking the major AI semiconductor investments today for risk-adjusted upside over the next 2–3 years, my list would look something like:
- Nvidia
- Qualcomm
- Micron
- AMD
- Broadcom
That ranking reflects my view that Qualcomm still offers a favorable combination of diversified AI exposure, improving end markets, and a valuation that is less demanding than several peers.
Given our investment approach—seeking companies that supply the infrastructure behind AI, robotics, autonomous systems, and edge computing—I think Qualcomm continues to fit well with those themes.
My approach, accumulate gradually rather than make one large purchase. Semiconductor stocks remain volatile after earnings and macro headlines, so scaling in over several buys can reduce timing risk while still increasing exposure to what I believe is a strong long-term opportunity.
