Quick Read<\/p>\n
Intel (INTC) received a price target raise from Citi to $130 from $95, based on a new CPU total addressable market framework that includes agentic AI workloads growing 185% annually and driving the overall CPU market to 35% annual growth to $132B by 2030.<\/p>\n
CPUs are gaining strategic importance in the AI stack as orchestration layers for autonomous agents, positioning Intel as a structural beneficiary of the next compute cycle beyond GPU-centric architectures.<\/p>\n
The analyst who called NVIDIA in 2010 just named his top 10 AI stocks. Get them here FREE<\/a>.<\/p>\n Citi just made a bold reassessment of the CPU story in the AI era. Analyst Atif Malik raised the firm’s price target on Intel to $130 from $95 and kept a Buy rating on Intel (NASDAQ:INTC<\/a>), citing an entirely new total addressable market framework built around agentic CPU workloads. For long-term investors, the call reframes Intel stock as more than a turnaround trade. It positions the chipmaker as a structural beneficiary of the next AI compute cycle.<\/p>\n The price target raise lands as Intel shares trade near $107. The stock has staged a dramatic recovery off of last year’s lows.<\/p>\n Ticker<\/p>\n Company<\/p>\n Firm<\/p>\n Action<\/p>\n Old Rating<\/p>\n New Rating<\/p>\n Old Target<\/p>\n New Target<\/p>\n INTC<\/p>\n Intel<\/p>\n Citi<\/p>\n Price Target Raised<\/p>\n Buy<\/p>\n Buy<\/p>\n $95<\/p>\n $130<\/p>\n The Analyst’s Case<\/p>\n Citi introduced a new CPU total addressable market model that includes general purpose CPUs, AI head nodes, and agentic CPU applications. Under that framework, the firm now sees the CPU market growing 35% annually to $132 billion by 2030, driven by 185% annual agentic CPU growth.<\/p>\n The analyst who called NVIDIA in 2010 just named his top 10 stocks. Get them here FREE<\/a>.<\/p>\n The agentic CPU concept matters because autonomous AI agents generate massive orchestration and inference workloads that lean heavily on CPUs, not just GPUs. CEO Lip-Bu Tan made the same case on Intel’s last call, asserting that “the CPU now serves as the orchestration layer and critical control plane for the entire AI stack.” Citi published a parallel TAM model for Advanced Micro Devices (NASDAQ:AMD<\/a>), lifting its price target on AMD to $460.<\/p>\n Company Snapshot<\/p>\n Intel posted Q1 FY2026 revenue of $13.58 billion, up 7% year over year, with non-GAAP EPS of $0.29. The Data Center and AI (DCAI) segment grew 22% to $5.05 billion, while Intel Foundry revenue rose 16% to $5.42 billion.<\/p>\n Management’s Q2 FY2026 guidance calls for revenue of $13.8 billion to $14.8 billion with non-GAAP gross margin near 39%. Strategic wins include Xeon 6 selection as host CPU for NVIDIA’s (NASDAQ:NVDA<\/a>) DGX Rubin NVL8 systems and a multiyear Google collaboration.<\/p>\n Why the Move Matters Now<\/p>\n Intel stock has rallied sharply, with shares up 190% year to date and 395% over the past year. The valuation reflects forward optimism, with a forward P\/E ratio of 156x against a 52-week range of $18.96 to $132.75.<\/p>\n The bulls point to U.S. government backing, foundry milestones (Intel 18A ramped to high-volume manufacturing), and a CPU-led AI angle finally getting analyst credit. The bears note that consensus remains cautious, with the average analyst target sitting at $85 and 30 Hold ratings on file. Execution risk, ongoing share losses to Advanced Micro Devices, and distant foundry profitability remain real overhangs.<\/p>\n What It Means for Your Portfolio<\/p>\n Citi’s call gives prudent investors a credible framework for why Intel could grow into its rally rather than fade from it. The agentic CPU thesis is testable: watch for whether DCAI growth accelerates and whether 18A yields scale on schedule.<\/p>\n For prudent investors, position sizing matters more than conviction. Intel stock now carries both turnaround momentum and AI-cycle exposure, but the gap between Citi’s $130 target and the broader Wall Street consensus underscores that this remains a contested name. A measured allocation captures the upside without overcommitting to a thesis still in proof phase.<\/p>\n The analyst who called NVIDIA in 2010 just named his top 10 AI stocks<\/p>\n