Despite a sharp decline in its share price amid smartphone market challenges, Qualcomm is pivoting towards AI infrastructure, leveraging its cash flow strength and strategic acquisitions to position itself for growth beyond mobile chips.
Qualcomm’s share price has fallen sharply since its May high, leaving the market to price in a prolonged setback for a business that is still generating substantial cash. The immediate pressure is centred on handsets. Trefis said smartphone chipset demand weakened last quarter as original equipment manufacturers trimmed orders and worked through inventory, while Qualcomm also faces a structural reset as Apple moves towards its own modem silicon. The company expects to supply modems for only about a fifth of iPhones in 2026 and none by 2027, a shift that will weigh on comparisons but also gives investors a clearer view of the new earnings base.
That backdrop matters because Qualcomm’s core mobile and licensing operations remain highly cash generative. Trefis estimates the business produced close to $10 billion in operating free cash flow, giving the company room to absorb the handset slowdown while it develops a second growth engine. Even if earnings edge lower in fiscal 2027, the stock still trades at a valuation that reflects considerable caution. The more important question is whether Qualcomm can convert its long-standing strength in power-efficient chips into a meaningful position in AI infrastructure.
Qualcomm is trying to do exactly that by focusing on inference rather than the far more GPU-heavy training market. According to Qualcomm’s June data-centre announcement, its Dragonfly portfolio now includes the C1000 server CPU and the AI300 inference accelerator, alongside the previously disclosed AI200 and AI250 systems. The company says these products are aimed at agentic AI and other workloads where efficiency, memory capacity and total cost of ownership matter more than raw peak throughput. That approach fits a market in which power supply and cooling are becoming important bottlenecks, and where Qualcomm’s experience in low-power design could prove relevant.
The strategy is being reinforced by deal-making. Qualcomm said it agreed to buy Alphawave Semi for about US$2.4 billion, adding high-speed connectivity, custom silicon and chiplet capabilities. Related reporting has also pointed to a large infrastructure agreement with HUMAIN and a multi-generation arrangement with Meta for Qualcomm server CPUs, with the company targeting more than $15 billion in annual data-centre revenue by fiscal 2029. The near-term handset slump is real, but Qualcomm is increasingly positioning itself as a company with a mature cash engine and a plausible route into AI infrastructure.
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