Intel earnings – Intel reports first-quarter earnings after the bell as AI demand shifts—from GPUs to CPUs powering AI agents in data centers.
Intel is set to report first-quarter earnings after the bell on Thursday, and the market will be watching closely for signs that its CPUs can ride the next wave of AI spending.
Why Intel’s earnings moment is tied to AI agents
Intel missed much of the early AI boom, partly because it wasn’t positioned with the right hardware to compete in the initial surge of AI-model computing. Nvidia became the headline name in that phase, capturing momentum and scaling rapidly as customers leaned heavily on GPU-based systems.
But the AI story is evolving.. More companies and developers are shifting attention to “AI agents”—semi- or fully autonomous bots that can take actions on a user’s behalf. like browsing. searching. or extracting information from business data.. Those activities don’t run on GPUs alone.. They also depend on general-purpose compute to handle tasks like orchestration. data processing. and the backend workloads that keep an agent responsive.
This is where CPUs regain strategic importance.. Even if AI models are still commonly executed on GPUs (or via major cloud platforms). the surrounding work—routing requests. managing data flows. and coordinating multiple steps—often leans on CPU performance.. As AI agents become more mainstream. data center companies and hyperscalers have new reasons to treat CPU capacity as part of an AI stack rather than a background utility.
What the market expects from Q1—and what to watch
For Q1, Intel is expected to report earnings per share of $0.01 on revenue of $12.36 billion, based on analyst consensus.. In the same quarter last year, Intel reported EPS of $0.13 and revenue of $12.67 billion.. That year-over-year gap means investors will likely focus on whether Intel can stabilize results while expanding its data center momentum.
The company’s Data Center and AI business is expected to generate revenue of $4.41 billion, up 6.8% year over year. That figure matters because it suggests Intel is not simply benefiting from broad demand; it’s attempting to translate its hardware into a more direct AI-related revenue stream.
Intel also flagged supply constraints during its fourth-quarter earnings call, attributing them to high demand.. Management indicated those constraints should improve after Q1.. If the supply bottleneck eases as expected. it could affect both near-term shipment trends and customer confidence—two factors that can influence how quickly bookings and revenue ramp.
There’s another layer investors will weigh: how Intel balances demand with the realities of the chip ecosystem. AI growth can be uneven across components, and even when server demand is firm, upstream limitations can delay revenue timing.
The pressure points: memory shortage and the PC impact
Intel is also navigating spillover effects from the broader memory chip shortage, which has been suppressing PC sales.. That matters for earnings because PCs have long been part of Intel’s commercial footprint and because weaker PC demand can offset gains elsewhere.. Even if AI helps data centers. the company’s total results still depend on multiple product lines pulling in the same direction.
In practical terms. memory shortages don’t just slow down PCs—they can complicate procurement and scheduling across the broader supply chain.. That can leave companies waiting longer to fill orders or forcing them to prioritize certain systems over others.. For Intel. whose roadmap depends on matching compute supply to fast-moving customer needs. any hesitation in the wider electronics cycle can influence both revenue and margins.
Why this CPU moment could reshape AI spending
The larger trend behind this earnings cycle is a shift in what customers consider “AI infrastructure.” For the first wave. GPUs were the obvious centerpiece because they accelerate model training and inference.. But as AI applications become more interactive. AI agents require additional compute capacity beyond the single task of running a model.
CPUs can become the operational backbone—handling data movement, task execution, and real-time processing that keeps agents working reliably.. That doesn’t eliminate the GPU advantage; it broadens the spending mix.. Over time, if agent use cases scale, CPU demand tied to data center workloads may rise more steadily.
For Misryoum readers tracking market moves, the key question isn’t whether AI headlines are still GPU-led. It’s whether Intel can convert its CPU position into measurable data center growth and whether supply constraints ease enough to translate demand into revenue.
If Intel’s outlook improves after Q1. it could signal that the company is no longer only reacting to the AI market—it’s participating in a more diversified compute ecosystem.. And if PC weakness persists. the company’s success will hinge on whether AI-driven demand is strong enough to offset broader semiconductor headwinds.
What a “good” earnings read-through would mean
An encouraging earnings report would likely show three things at once: improving supply conditions. resilient data center and AI performance. and evidence that the company can keep demand converting into shipments.. Investors may also look for signs that Intel’s strategy is gaining traction beyond a single quarter.
Just as importantly, the guidance tone matters.. In technology cycles like this, companies often manage expectations when supply is tight or when customer purchasing patterns are shifting.. If Intel can communicate a clearer path from constraints to output. the market may treat the quarter less as a stumble and more as a transition.
For now, Intel’s earnings moment is more than a routine update. It’s a test of whether CPUs—long considered the “background” workhorses of computing—are becoming essential to the way AI agents operate at scale.