Cantor Fitzgerald lifts its Intel target, pointing to AI chip buildout and supply constraints

Intel is seeing fresh analyst attention focused less on near-term sentiment and more on the shape of the artificial-intelligence (AI) semiconductor ramp. Cantor Fitzgerald, in a June 29 research note, lifted its price target on Intel Corporation to $150 from $90 and maintained a Neutral rating, according to coverage of the note.

The firm’s core thesis, as characterized in the report, is that AI infrastructure spending is creating a “generational” cycle in semiconductors. Cantor Fitzgerald also framed the cycle as durable, suggesting that demand patterns are likely to persist rather than quickly fade as early deployments move into steadier production.

Cantor Fitzgerald further argued that supply chain constraints could extend the timeframe of that spending cycle. In other words, even if customers’ plans are known, the pace at which products can be manufactured and delivered may slow, elongating revenue opportunities for chip makers like Intel.

The note also highlighted what the report described as an upward shift in expectations for industry revenue growth. Cantor Fitzgerald pegged the outlook at roughly $3 trillion by calendar year 2029, with the potential for the number to exceed $3.5 trillion by calendar year 2030, reflecting expectations for continued buildout tied to AI compute and supporting infrastructure.

While the coverage of the analyst note did not detail specific Intel financial targets tied to those industry figures, it placed Intel inside a broader semiconductor product cycle. Intel designs and manufactures computer technologies and operates across segments including Client Computing Group, Data Center and AI, Intel Foundry Services (IFS), and other businesses.

In the context of those segments, the report emphasized AI infrastructure as the demand driver. That matters for Intel because AI workloads tend to be capital-intensive, and companies that provide processors and related manufacturing capacity can be pulled into multi-year planning by hyperscalers and enterprise customers.

Still, the market narrative is not purely about optimism. The same coverage acknowledged the inherent investment risk associated with Intel, but it did not lay out a detailed set of near-term catalysts or downside scenarios in the excerpts provided. As a result, investors have less clarity on timing, margins, and how quickly Intel can convert the broader AI cycle into segment-level financial outperformance.