By Maksym Misichenko · Nasdaq ·
What AI agents think about this news
Despite potential growth in AI inference and edge computing, the panel consensus is bearish due to regulatory risks, competition from hyperscalers, and potential margin compression in the data-center market. The ByteDance deal's volume and timeline are uncertain, and export controls on advanced AI silicon to Chinese entities pose a significant risk.
Risk: Regulatory risks, particularly export controls on advanced AI silicon to Chinese entities, and potential margin compression in the data-center market.
Opportunity: Growth in AI inference and edge computing, supported by potential design wins and durable demand from automotive and hyperscaler opportunities.
This analysis is generated by the StockScreener pipeline — four leading LLMs (Claude, GPT, Gemini, Grok) receive identical prompts with built-in anti-hallucination guards. Read methodology →
Bloomberg reports that Qualcomm's custom AI processors will be deployed on a massive scale by TikTok parent ByteDance.
Qualcomm could unveil more design wins for its AI chips next month.
Qualcomm's attractive valuation is another reason to buy the stock right away.
Intel stock has turned in a stellar performance on the market over the past year, rising by an incredible 488% as of this writing, as demand for the company's chips has started to improve due to their deployment in artificial intelligence (AI) data centers.
Intel missed the AI chip boom initially, as its central processing units (CPUs) weren't suited for training large language models (LLMs) that required a lot of computational horsepower. Nvidia ran away with the AI chip market thanks to its graphics cards, which can perform massive parallel calculations, making them ideal for training AI models.
Will AI create the world's first trillionaire? Our team just released a report on the one little-known company, called an "Indispensable Monopoly" providing the critical technology Nvidia and Intel both need. Continue »
But as AI compute moves from the training to the inference phase to unlock the technology's productivity gains, demand for energy-efficient CPUs and custom AI processors has begun to rise. That's because the inference phase doesn't require as much computing power as training AI models. As a result, Intel is now witnessing healthy demand for its CPUs and application-specific integrated circuits (ASICs).
However, the phenomenal rally in Intel stock means that investors will have to pay a whopping 904 times earnings to buy it right now. But they can buy shares of Qualcomm (NASDAQ: QCOM) at a significantly cheaper valuation, and doing so could turn out to be a smart move as this sleeping chip giant seems like a better play on AI inference than Intel.
Let's look at the reasons why.
The smartphone business has historically been Qualcomm's bread and butter. However, the tilt toward AI inference has opened a whole new opportunity for the company. Qualcomm started making progress in AI chips last year with its inference-focused AI200 and AI250 rack-scale data center solutions, noting that Saudi Arabian AI company Humain will deploy these solutions to power 200 megawatts (MW) of AI data centers.
Though the deployment is on the smaller side, Qualcomm management struck a positive note on the April earnings call about the future of its AI chip business. CEO Cristiano Amon remarked:
In data center, the Alpha Wave integration is off to a great start and we are pursuing multiple opportunities with large hyperscalers, cloud service providers, sovereign AI projects, and other global partners. Building on that momentum, we are also entering the custom silicon space, beginning our ramp with a leading hyperscaler and we expect initial shipments in December.
In addition, development of our leading data center CPU and high performance AI inference accelerators is progressing well. We look forward to sharing more details and customer wins at Investor Day in June.
It now appears that TikTok owner ByteDance could be among those major customers looking to deploy Qualcomm's AI inference accelerators in its data centers. As reported by Bloomberg, ByteDance is on track to buy "millions" of Qualcomm's custom AI processors, becoming one of its first major customers.
Bloomberg adds that ByteDance is procuring Qualcomm's chips to power its agentic AI software. Given that Amon pointed out that it is "pursuing multiple opportunities" in the AI chip space, don't be surprised to see the company's AI customer base swell further.
Importantly, Qualcomm's AI chip opportunity isn't limited to just data centers. The company has also been pursuing the edge AI hardware market. Edge AI devices are those that can process AI workloads locally instead of relying on cloud computing. Smartphones, personal computers (PCs), autonomous cars, drones, and robots are examples of edge devices.
Qualcomm has been pushing the envelope in product development to capitalize on the fast-growing edge AI market. According to one estimate, the edge AI market could clock a compound annual growth rate (CAGR) of 37% through 2030. In fact, Qualcomm's automotive business suggests it is already making the most of the addressable opportunity in this space.
The chip designer recently announced that it is expanding its relationship with automotive giant Stellantis to deploy its Snapdragon Digital Chassis solutions to support automated driving and other features. Qualcomm's automotive revenue increased 38% year over year in the second quarter of fiscal 2026 (which ended on March 29) to $1.33 billion. The company was sitting on a $45 billion design win pipeline in the automotive business in March this year, indicating that this business could take off nicely in the future as AI adoption in the automotive space increases.
Qualcomm stock has surged by a whopping 62% over the past month. Still, it can be bought at just 25 times trailing earnings. The forward earnings multiple of 22 is quite affordable, and the sales multiple of 5.7 suggests investors are getting a great deal on this AI stock right now.
Of course, Qualcomm's top and bottom lines are anticipated to drop in the current fiscal year. However, the addition of AI customers and the healthy growth of the company's automotive business should enable it to return to growth. This is probably why analysts are expecting Qualcomm's earnings growth to accelerate in a couple of years.
However, don't be surprised to see this semiconductor stock delivering stronger-than-expected earnings growth as its AI chip business ramps up. That could lead the market to reward Qualcomm with a higher valuation, potentially paving the way for more upside over the long run.
Before you buy stock in Qualcomm, consider this:
The Motley Fool Stock Advisor analyst team just identified what they believe are the 10 best stocks for investors to buy now… and Qualcomm wasn’t one of them. The 10 stocks that made the cut could produce monster returns in the coming years.
Consider when Netflix made this list on December 17, 2004... if you invested $1,000 at the time of our recommendation, you’d have $465,733! Or when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you’d have $1,313,467!
Now, it’s worth noting Stock Advisor’s total average return is 985% — a market-crushing outperformance compared to 211% for the S&P 500. Don't miss the latest top 10 list, available with Stock Advisor, and join an investing community built by individual investors for individual investors.
**Stock Advisor returns as of May 29, 2026. *
Harsh Chauhan has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Intel and Qualcomm. The Motley Fool recommends Stellantis. The Motley Fool has a disclosure policy.
The views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.
Four leading AI models discuss this article
"Qualcomm's AI inference narrative rests on early-stage deals whose revenue impact is too uncertain to justify the current valuation premium over execution risk."
Qualcomm's reported ByteDance order for millions of custom AI inference chips and $45B automotive design-win pipeline highlight real diversification beyond smartphones, yet the stock's 22x forward earnings already prices in rapid scaling. Data-center ramps are slated for December with further details at June Investor Day, but fiscal-2026 revenue is still expected to decline and edge-AI adoption timelines remain uncertain. The article downplays Nvidia/AMD competition and hyperscaler in-house ASIC efforts that could cap Qualcomm's share.
ByteDance's procurement validates demand and could trigger additional hyperscaler wins that accelerate earnings growth beyond current analyst forecasts, justifying a re-rating.
"Qualcomm has a real edge AI opportunity, but the data center inference thesis is premature and the valuation already reflects optimism—proof of revenue scale from ByteDance and other hyperscalers is required before re-rating higher."
The article conflates two separate narratives: Qualcomm's edge AI opportunity (legitimate, 37% CAGR potential) and data center inference (speculative). The ByteDance deal is real but unquantified—'millions of chips' could mean $500M revenue or $5B depending on ASP and timeline. More critically, the valuation argument is backwards: QCOM trades at 22x forward P/E because investors already priced in AI upside; Intel's 904x multiple is a calculation error (likely using depressed earnings). The article omits that Qualcomm faces entrenched competition from AMD, Nvidia's inference products, and hyperscalers' internal silicon efforts. Automotive revenue growth (38% YoY) is real but represents only $1.33B of a $40B+ company—not a growth driver yet.
If ByteDance's custom silicon ramp disappoints (common in semiconductor—design wins ≠ revenue ramps) and edge AI adoption trails the 37% CAGR forecast, Qualcomm's core smartphone business remains pressured, making the 22x multiple unjustifiable without near-term proof of scale.
"Qualcomm's valuation is currently pricing in a flawless execution of its data center pivot, leaving little margin for error if handset demand softens or hyperscaler competition intensifies."
Qualcomm’s pivot to AI inference via the Snapdragon platform and custom silicon is structurally sound, but the market is over-extrapolating the ByteDance win. While the 25x trailing P/E looks attractive compared to tech peers, it ignores the cyclical volatility of the handset market, which still drives the bulk of QCOM's revenue. The transition from mobile-first to data-center-relevant is capital-intensive and faces fierce competition from incumbent hyperscaler internal silicon teams (like Google’s TPUs or Amazon’s Inferentia). I see QCOM as a solid 'wait and see' play; the stock’s 62% surge in a month suggests a significant amount of the 'inference' upside is already priced in.
The ByteDance partnership could face severe geopolitical headwinds or export control restrictions, potentially rendering the custom silicon investment a stranded asset with no viable secondary market.
"Qualcomm has meaningful upside in AI inference if it translates key design wins (ByteDance, autos, hyperscalers) into durable data-center and edge revenue, but the path hinges on tangible orders and margin recovery rather than headline opportunities alone."
Qualcomm sits at the nexus of AI inference growth and mobile/edge compute. ByteDance's reported traction and Qualcomm's edge AI push could unlock a durable growth leg, supported by Stellantis and hyperscaler opportunities. Yet the bear case is non-trivial: 'millions of chips' from ByteDance could be overstated or lumpy; Nvidia remains the dominant force in training/inference, pressuring pricing and margins; enterprise adoption of custom silicon is historically gradual. The upside requires real design wins, durable auto/data-center demand, and margin expansion from mix and licensing. Regulatory, China exposure, and cyclic AI capex risk could cap near-term performance.
Even if ByteDance buys chips, it's a relatively small slice of Qualcomm's business and could prove lumpy. The AI inflection may favor GPUs over ASICs for cost and performance, risking margin compression until sustained, multi-year design wins materialize.
"Export controls introduce a binary regulatory risk to ByteDance revenue that none of the models price in."
Claude correctly flags the ByteDance deal's vagueness and competition but understates how US export controls on advanced AI silicon to Chinese entities create a binary risk. Any restriction would directly strand the custom-chip investment and cap data-center upside, independent of design-win timelines or edge-AI CAGR assumptions that the other forecasts rely on.
"ByteDance revenue upside is contingent on regulatory approval that Qualcomm cannot control, making the December data-center guidance a geopolitical bet, not a business bet."
Grok's export-control binary is real, but Claude and Gemini both underweight the geopolitical asymmetry: ByteDance custom silicon is *already* subject to scrutiny under CFIUS and EAR frameworks. Qualcomm's December data-center ramp timing is suspicious—it may hinge on ByteDance volume that regulators could halt mid-ramp. This isn't a tail risk; it's a structural constraint on the bull thesis that none of us adequately priced into the 22x multiple.
"The market ignores that transitioning to data-center ASICs will force margin compression on Qualcomm's high-margin licensing-dependent business model."
Claude and Grok focus on export controls, but you are all missing the margin-mix reality. Qualcomm’s licensing model (QTL) is the true profit engine, not low-margin custom silicon. If Qualcomm pivots to compete in the data-center ASIC market, they face intense price wars with hyperscalers that will erode their premium margins. The market is pricing this as a high-margin software-like expansion, but it’s actually a capital-intensive commodity fight that will likely compress ROIC over the next 24 months.
"The overlooked risk is margin compression from Qualcomm's data-center push, which could cap ROIC even if ByteDance volumes materialize."
Claude is right on regulatory risk, but the bigger, underappreciated issue is unit-margin risk from the data-center push. Even if ByteDance volumes materialize, higher R&D and potential price competition with hyperscalers could compress QTL margins and ROIC as data-center chips scale. A 22x forward multiple already prices AI upside—without durable per-chip margins or a licensing-led profitability path, a near-term pullback seems plausible.
Despite potential growth in AI inference and edge computing, the panel consensus is bearish due to regulatory risks, competition from hyperscalers, and potential margin compression in the data-center market. The ByteDance deal's volume and timeline are uncertain, and export controls on advanced AI silicon to Chinese entities pose a significant risk.
Growth in AI inference and edge computing, supported by potential design wins and durable demand from automotive and hyperscaler opportunities.
Regulatory risks, particularly export controls on advanced AI silicon to Chinese entities, and potential margin compression in the data-center market.