Meet the Artificial Intelligence (AI) Inference Stock That Could Deliver the Biggest Gains Over the Next 3 Years (Hint: It's not Nvidia or Broadcom)

Qualcomm projects data center revenue of at least $15B by fiscal 2029, driven by inference-first AI chips and multi-generation agreements (including Meta deploying its Dragonfly C1000 server CPU starting this year). The article expects Qualcomm EPS to rise from $10.80 in fiscal 2026 (down ~10%) to over $18.00 by fiscal 2029, implying ~18.5% annual EPS growth and a potential stock upside toward ~$473 (~150% from current levels) if it trades near 26.3x earnings.

Analysis

The market’s bigger signal here is not “another AI chip entrant,” but that inference workloads are becoming an economics game rather than a pure performance game. That shifts the battleground from absolute GPU dominance toward TCO, power, and integration, which is where a diversified silicon vendor can win socket share faster than investors expect. If Qualcomm converts even a modest share of hyperscaler CPU/accelerator demand, the operating leverage is meaningful because the current core franchise is mature while the incremental data center revenue is high-value mix.

The immediate competitive implication is pressure on the premium AI complex: NVDA retains the crown, but the scarcity multiple around inference should compress if customers prove willing to multi-source for cost control. Broadcom still benefits from custom silicon spend, but Qualcomm’s positioning is more dangerous because it competes on both compute and platform integration, not just bespoke ASICs. Secondary winners are the ecosystem names tied to rack integration and power efficiency; the hidden loser is any vendor whose moat depends on proprietary AI workloads staying single-sourced.

The main risk is timing: design wins in data center can look linear on slides and lumpy in revenue for 12-18 months. The thesis breaks if the next two quarters fail to show a second customer or if the announced pipeline stalls at pilot scale; that would cap multiple expansion and leave the stock stuck at a low-growth handset multiple. Near term, the stock may trade on validation headlines, but the real catalyst path is 1-3 quarters of customer cadence and margin mix.

Contrarian view: the consensus may be underestimating how little revenue it takes to re-rate the stock, but also overestimating how quickly Qualcomm can displace entrenched CPU/GPU incumbents in mission-critical data center deployments. This is less a 2026 story than a 2027-2029 proof-of-scale story, so the right way to express it is through optionality, not full-size directional risk.

Key Decisions for Investors

• Initiate a starter long in QCOM on weakness after the first post-announcement fade; hold 6-12 months for customer-validation prints. Risk/reward is attractive because the stock can re-rate on multiple expansion before the earnings base fully reflects the data center buildout.
• Use a QCOM call spread or call spread ladder expiring in 9-18 months rather than outright stock if you want capped downside while retaining upside to a second/third customer win. Best entry is after volatility settles, not on the first headline spike.
• Relative-value trade: long QCOM / short NVDA in a small size if the market starts pricing inference as a commoditizing, TCO-driven market. This is a valuation-and-breadth trade, not a fundamental call that NVDA loses leadership; stop if NVDA re-accelerates inference share or QCOM fails to show follow-on wins.
• Watch-list, not a trade yet: long META if it begins quantifying lower server power or better inference economics from non-NVDA silicon. That would validate the multi-source procurement thesis and extend the cycle to other hyperscalers.
• If QCOM does not announce incremental design wins or revenue ramp visibility within the next 2 earnings cycles, fade the move and treat the data-center narrative as promotional until proven otherwise.