$QCOM Investor Day Highlights Their Strategic Pivot to AI Infrastructure

Qualcomm $QCOM plans to bring parts of its new data-center chip architecture to smartphones, PCs and cars, per Semafor.

Their High Bandwidth Compute architecture stacks memory & compute vertically to improve data flow, potentially enabling more local AI models and always-on agents on mobile devices.

Based on their investor day presentation, it seems to me like they’re aggressively diversifying away from their traditional smartphone (handset) chips business to becoming a broader AI platform company across the entire compute spectrum imo. This includes on-device inference/edge AI to data centers, automotive, industrial systems, robotics, etc.

This is expected to drive massive new demand for efficient inference compute, both on devices (personal agents) and in data centers (scaling those agents), plus “physical AI” in cars, robots, and factories. They announced huge diversification targets including $40B non-handset revenue by FY29 (up from $22B prior), over $15B from data center AI by FY29, $5B data center revenue in FY27, and EPS above $18 in FY29.

According to $QCOM, the combined TAM for these opportunities is roughly $1.7 trillion by 2030. Important to note that these are long-term targets (not immediate quarterly guidance). They reflect management’s view of secular tailwinds from distributed AI compute over the next 3–5+ years.