All Eyes on CPU: What Industry Leaders Predict
In recent weeks, TSMC, Intel, and Google have all signaled that as Agentic AI scales, general-purpose compute is reasserting itself at the center of AI infrastructure.
Here’s what they said, and what it means for the structural shift in CPU:GPU ratios that we’ve been tracking.
Intel: The Ratio Is Already Shifting
During Intel’s Q1 2026 earnings call on April 23, CEO Lip-Bu Tan put a number on the shift:
The feedback from customers is that CPU is very important when they move from training to inference. The inference side — in terms of orchestration, control plane, and also managing all the different agents with data — CPU is much more efficient. The ratio of CPU to GPUs used to be 1 to 8, and now it’s 1 to 4, and I think towards parity or even better. The demand is very strong.
CFO David Zinsner mapped out the full range on the same call: training runs at roughly 7–8 GPUs per CPU; inference compresses that to 3–4:1; and for agentic and multi-agent workloads, the ratio could compress further, potentially even flipping in favor of CPUs.
Google: “General-Purpose Compute Is Going to Make a Comeback”
At Google Cloud Next 2026, Amin Vahdat, Google SVP and Chief Technologist for AI and Infrastructure, made a notable prediction about CPUs:
CPU will come back. Running these agents involves a lot of general-purpose compute — they’re orchestrating all the inference that’s going on. They create sandboxes, virtual machines to build code, run it, check the results, and then figure out the next set of outputs. So general-purpose compute is going to make a comeback.
The framing matters: this is not CPU replacing specialized accelerators, but CPU orchestrating them. Vahdat also noted that the age of purpose-built accelerators isn’t going away — specialization, he said, is going to continue.
TSMC: CPUs Are “More and More Important”
On April 16, TSMC Chairman and CEO C.C. Wei highlighted a key demand driver during the Q1 2026 earnings call: the shift from Generative AI’s query mode to Agentic AI’s command-and-action mode is leading to another step-up in token consumption, sustaining demand for leading-edge silicon.
On CPUs, Wei acknowledged they are becoming “more and more important” in today’s AI data centers. However, CPUs remain excluded from TSMC’s AI revenue calculation for a practical reason: TSMC currently cannot distinguish whether a CPU is destined for a PC, a desktop, or an AI data center. Wei noted the company may reconsider the definition in the future.
For the full analysis, see TrendForce's recent report, where we cover the competitive landscape across Intel, AMD, Nvidia, Arm, and the major CSPs, plus our projections on supply constraints and IC back-end design service opportunities.
2026 Agentic AI Wave: CPU Shortage and GPU Ratio Structural Changes