An analyst projects Intel could eventually reach a $5 trillion（約800兆円） valuation, arguing that a shift from AI training to inference will position the chipmaker at the center of the technology industry.

What happened: Global Equities Research analyst Trip Chowdhry published a bull thesis on Intel, setting a $200 near-term price target and projecting the company will eventually reach a $5 trillion（約800兆円） market capitalization, compared with its current market cap of around $640 billion（約100兆円）. The thesis rests on the claim that AI Inference and AI Applications will be 8 times the size of AI Training, and that Intel's 18A Panther Lake laptop processors will capture a major shift in inference workloads from data centers to edge devices.

Why it matters: Chowdhry argues that while 2025 and prior have been dominated by Nvidia's GPU moment for AI training, 2026 and beyond will belong to Intel's CPU-based inference chips. He contends that Intel's 18A Panther Lake laptops can now run 70 billion parameter language models (text-understanding AI) with 134,000 context lengths and deliver 180 TOPS of compute—capabilities that required a full data center just twelve months ago. This suggests a significant structural shift in where AI computation happens, potentially reshaping the competitive landscape.

What to watch: The thesis claims Intel holds a 7-year technology lead over TSMC in Gate All Around transistor architecture and Backside Power Delivery, though independent analysts have not corroborated this claim. Separately, TSMC continues to ramp its own GAA-based N2 process, and Intel has yet to confirm the commercial status of several customer relationships the firm cites in its investment case.