Qualcomm’s AI Infrastructure Push Signals a Broader Growth Strategy Beyond Smartphones

Qualcomm Expands Its AI Ambitions

Qualcomm (QCOM) attracted investor attention after outlining an ambitious expansion into AI infrastructure during its Investor Day, announcing new partnerships, raising long-term revenue targets, and positioning itself for growth beyond its traditional smartphone business.

The company's announcements helped lift semiconductor stocks and reinforced optimism surrounding AI-related spending, even as investors continue to evaluate how sustainable the current investment cycle may be.

Key Points

• Qualcomm raised its fiscal 2029 non-handset revenue target to $40 billion, including more than $15 billion from AI data center products.
• The company announced multi-generation infrastructure agreements with Meta Platforms (META) and Microsoft (MSFT) as it expands into AI data centers.
• Wall Street firms broadly increased price targets following Investor Day, although many analysts maintained neutral or cautious ratings pending execution.

What Did Qualcomm Announce?

Qualcomm introduced several initiatives designed to expand its presence in AI infrastructure and enterprise computing.

The company raised its fiscal 2029 non-handset revenue target to $40 billion, nearly doubling its previous long-term objective. Management said the new outlook includes more than $15 billion in annual data center revenue, approximately $10 billion from automotive chips, and more than $14 billion from Internet of Things products.

Qualcomm also projected that AI data center revenue could reach $5 billion by fiscal 2027, giving investors a clearer timeline for the company's expansion into the market.

Beyond financial targets, Qualcomm announced an agreement with Meta Platforms (META) to supply its new Dragonfly C1000 data center CPUs for Meta's next-generation server infrastructure beginning in the second half of 2028.

Microsoft (MSFT) will also adopt Qualcomm's High Bandwidth Compute architecture for Azure infrastructure beginning around mid-2027.

In addition, Qualcomm announced its planned all-stock acquisition of AI software company Modular, valued at approximately $4 billion, as part of its effort to broaden software support across AI hardware.

Why Did Qualcomm Stock Move Higher?

Investors viewed the announcements as evidence that Qualcomm's diversification strategy is gaining traction.

Shares climbed sharply after Investor Day as analysts responded positively to the company's larger AI opportunity and expanding customer base.

Several research firms raised their price targets, with Morgan Stanley upgrading Qualcomm to Equal Weight after previously maintaining an Underweight rating. Rosenblatt described the event as a "definitive turning point" and reiterated its Buy rating while increasing its price target.

However, analyst sentiment remained mixed.

While price targets generally moved higher, several firms—including Barclays, Bernstein, Citi, Bank of America, Susquehanna, and KeyBanc—continued to express caution, citing execution risks, competitive pressure in AI infrastructure, and ongoing uncertainty surrounding smartphone demand.

Can Qualcomm Become a Larger AI Infrastructure Player?

Qualcomm's strategy reflects a broader effort to reduce its dependence on handset revenue.

Management said handsets are expected to represent only about one-third of Qualcomm Technologies revenue by fiscal 2029, down significantly from fiscal 2025 levels.

The company introduced multiple AI infrastructure products, including new CPUs, AI accelerators, High Bandwidth Compute technology, memory solutions, rack-scale servers, and software capabilities intended to support enterprise AI deployments.

Even with these initiatives, Qualcomm enters a highly competitive market that includes established providers such as Nvidia (NVDA), AMD (AMD), Intel (INTC), and custom silicon developed by hyperscale cloud companies.

Several analysts noted that meaningful revenue from Qualcomm's newest data center products is expected to arrive over the coming years rather than immediately.

What It Means for Investors

Qualcomm's latest announcements represent one of its largest strategic updates in recent years.

The combination of higher long-term revenue targets, new AI infrastructure partnerships, and broader diversification beyond smartphones suggests management is positioning the company to participate in multiple segments of AI computing.

At the same time, analysts continue to emphasize that many of these opportunities remain dependent on successful execution, customer adoption, and product launches scheduled over the next several years.

Conclusion

Qualcomm's Investor Day shifted investor attention from its traditional smartphone business toward its expanding AI infrastructure strategy.

The company raised long-term financial targets, secured high-profile data center customers, introduced new hardware and software initiatives, and outlined a broader vision for future growth. While Wall Street responded with higher price targets and a stronger share price, many analysts continue to view the coming years as the key test of whether Qualcomm can translate its ambitions into sustained data center revenue.

FAQs

Why did Qualcomm stock rise?

Qualcomm shares gained after the company raised its long-term non-handset revenue target, announced new AI infrastructure products, and disclosed data center partnerships with Meta and Microsoft.

What is Qualcomm's new revenue target?

Qualcomm now expects its non-handset businesses to generate $40 billion in annual revenue by fiscal 2029.

How is Meta working with Qualcomm?

Meta signed a multi-generation agreement to deploy Qualcomm's Dragonfly C1000 data center CPUs in future server infrastructure beginning in the second half of 2028.

What role will Microsoft play?

Microsoft plans to use Qualcomm's High Bandwidth Compute architecture within its Azure infrastructure beginning around mid-2027.

Why are analysts still cautious?

Although many firms increased their price targets, several analysts said Qualcomm still needs to demonstrate successful execution, customer adoption, and sustained growth in AI infrastructure before the long-term targets can be fully validated.

This article was created with AI assistance and reviewed by an editor. For details, please refer to our Terms of Use.

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