Stock Markets April 21, 2026 12:01 PM

Intel's quarterly results to test whether supply snarls are capping its AI chip push

Investors will scrutinize production bottlenecks and 18A yields as data-center revenue is forecast to climb

By Maya Rios INTC
Intel's quarterly results to test whether supply snarls are capping its AI chip push
INTC

Intel's upcoming quarterly report will draw investor attention to ongoing supply chain problems that have constrained the company's ability to increase chip output amid surging AI-related demand. The firm has said server-chip shortages tied to GPUs will be most acute in the first quarter before easing in the second. Market estimates show revenue and adjusted earnings declines even as the data center and AI business is projected to expand.

Key Points

  • Intel has reported supply constraints for server chips used alongside GPUs that are expected to be most acute in the first quarter before easing in the second - impacts semiconductor and data-center markets.
  • Analysts project a 1.9% decline in first-quarter revenue to $12.42 billion and a near 90% drop in adjusted EPS, while the data center and AI segment is forecast to grow 6.8% to $4.41 billion - relevant to investors and technology sector allocation.
  • Market focus will include yields from Intel's 18A manufacturing process; improved yields are seen as necessary for the company to capitalize on rising CPU demand in AI data centers.

Intel faces close market scrutiny as it reports quarterly results, with investors focused on whether supply chain disruptions are impeding the company's effort to scale chip production for rising demand from businesses adopting AI services. Company guidance indicates that constraints for server chips used alongside graphics processors from firms such as Nvidia will be worst in the first quarter and are expected to ease in the second quarter.

Market data compiled by LSEG points to an anticipated 1.9% decline in first-quarter revenue to $12.42 billion and a near 90% drop in adjusted earnings per share. Analysts expect the chipmaker's data center and AI segment to grow by 6.8% to $4.41 billion.

Recent strategic moves by the company include an expansion of its AI CPU partnership with Google and participation in Elon Musk's Terafab AI chip complex project to manufacture processors. Such developments come as analysts note the changing revenue mix for the firm.

"Rising demand for CPUs in AI data centers gives the company a steadier revenue lifeline that’s less dependent on the consumer PC cycle," eMarketer analyst Jacob Bourne said, highlighting the potential for greater revenue stability from data-center demand even as the consumer PC market remains variable.


Beyond top-line figures, investors are expected to examine manufacturing metrics. In particular, attention will center on yields from Intel's 18A manufacturing process, the measure of usable chips produced per silicon wafer. Yield rates will affect the company's ability to meet demand and scale production efficiently.

"For Intel to make an outsized bid here, their 18A yield improvement has to be ... better than market expectations," said Ryuta Makino, an analyst at Intel investor Gabelli Funds, underscoring the importance of manufacturing progress to the company's competitive position.

The report and these operational details will be viewed alongside questions about valuation. The piece poses the question: "Is INTC a bargain right now?" and notes a Fair Value calculator that uses a mix of 17 proven industry valuation models to assess stocks such as INTC.

Investors will monitor whether supply improvements materialize in the second quarter, whether the 18A process delivers stronger yields, and how these factors combine with the evolving revenue mix toward AI and data-center CPU demand.

Risks

  • Persistent supply chain constraints in the first quarter could continue to limit Intel's ability to ramp chip production - this threatens revenue realization in the semiconductor and data-center supply chain.
  • Uncertainty around yields from the 18A manufacturing process creates risk that production cannot scale fast enough to meet AI CPU demand - this affects manufacturing efficiency and product availability.
  • Execution risk tied to translating partnerships and projects, such as the expanded Google AI CPU collaboration and participation in the Terafab project, into meaningful production and revenue gains is not guaranteed by the article.

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