Will Intel Become the Next $5 Trillion Stock? Should You Buy INTC Now?

TradingKey - Global Equities Research has published a positive report on Intel (INTC) with a peak price target of $200 and the firm believes this could be a $5 trillion company in the end. The question after a stellar rise of about 240% year-to-date is whether that long-term valuation makes sense – and if INTC stock is a buy at this point. To find that out, it makes sense to look at both the rationale for the call and the execution risks that could blow it up. 

Why Some Believe Intel Could Achieve a $5 Trillion Valuation?

The essence of the bullish case is that there is a transition in artificial intelligence from model training to inference and production use. While HPC Nvidia (NVDA) GPUs were over-rewarded economically during the training boom, the new argument is a broadening of the compute mix as AI infiltrates consumer goods and services. Global Equities Research has an attitude akin to “GPU is the past, CPU is the future,” in that inference and application workloads will dwarf training by 8x over time. If that were to play out, it would mean that Intel’s CPUs (and increasingly, the company’s growing AI silicon portfolio) would be back at the center of things.

This view is going to the edge AI. The next generation of Intel's 18A Panther Lake laptops are being marketed as the new data center as they represent a future where AI inference happens more locally than in hyperscale locations. The report includes performance claims that Panther Lake-class systems are capable of running 70-billion-parameter LLMs with 134,000-token context windows and 180 TOPS of performance—which previously would have required a data center footprint a year ago. Local model formats like GGUF have been made popular due to being a practical accelerator for being able to use AI devices at an end-user or enterprise level at lower costs.

Manufacturing is the second hinge of the argument. The report claims Intel is ahead of TSMC (TSM) by up to 7 years in two enabler technologies—gate‑all‑around (GAA) transistors and backside power delivery—and that lead will be extended into its Angstrom‑era nodes (18A, 14A, 10A). If true, that would boost Intel’s internal CPU and AI roadmaps, and also add more competitiveness to its foundry offering. The report also refers to a foundry story which comprises potential and early works with Apple (AAPL), Alphabet (GOOGL), Amazon (AMZN), Microsoft (MSFT) among others, as well as momentum such as early production on the 18A‑P variant.

On the fundamentals, there are some early indications of improvement. Revenue has grown and adjusted EPS has recovered for Intel on a year-over-year basis, but GAAP losses were still recorded. The leadership team has renewed focus on its foundry business, revitalized the x86 franchise and made AI workloads its top priority. And if the shift from training to inference really does favor CPUs at the edge and in the data center, and if Intel’s process technology and foundry wins pan out on schedule, then the company could end up grabbing a far bigger piece of the AI economics than the market currently ascribes.

What Could Get in the Way of Intel’s $5 Trillion Road?

Consensus on Wall Street currently has Intel’s EPS at around $1.09 in 2026 and $1.55 in 2027, with a forward P/E of roughly 111x. If that multiple held and the EPS grew to $10, the stock could conceptually increase about 848% to approximately $1,100 per share, which equates to a market value of around $5.57 trillion. The numbers are right, but the question is whether the company can generate the kind of earnings the valuation requires.

Execution risk is the immediate challenge. Producing competitive yields on 18A and beyond is not trivial. A seven‑year lead over TSMC has not been confirmed by independent analysts, and TSMC’s own GAA roadmap (which includes N2) is moving. Foundry scale really is about repeatable wins with marquee customers, and several of the relationships referred to in the bullish note have not been publicly confirmed. Any delays in yield improvement, customer ramp timing or product performance could reset expectations.

Although inference spending will exceed total outlay for training for the long-term, competitors are making strong moves to provide viable alternatives via GPU, TPU and application-specific integrated circuit (ASIC) architectures. Also, the AI ecosystem has not reached a conclusion regarding a dominant architecture or vendor yet, as workloads across multiple types of models and frameworks vary significantly, making determining the best option more challenging depending on various factors such as the size of the memory requirement, output speed (latency) and price. Arguing that if it's not on Intel's 18A platform, you're out of luck does not take into account how diversely deployed these workloads are currently.

There are valuation uncertainties as well. The idea of a laptop becoming the "next data center" is interesting, although viability and total cost of ownership compared to using the cloud for this purpose must be considered against the software maturity, heat generation and battery management issues, company IT security requirements and restrictions, etc. Industries transitioning their primary workloads into edge-based data centers would likely see differences in timing between industries. An additional concern is financing the completely new advanced distribution nodes (IFS) and new fabrication (fab) facilities as they will have a negative impact on free cash flow over the immediate future (within 1–2 years). Additionally, effects from global economic cycles will influence PC replacement timelines and the level of data center demand.

Is It Time To Buy INTC Stock?

To determine if INTC shares are an investment today, you'll need two things—your belief that inferencing & application workloads will materially change the demand for compute from CPUs vs. local processing in favor of CPUs and Intel's ability to execute against its process technology, products & foundry customer ramps faster than expected.

If you have those beliefs and believe these conditions will persist, a long-term investment could be plausible; however, getting to a multi-trillion valuation would likely include both a leadership position in products as well as continued expansion of EPS after the current consensus.

A milestone-driven approach may be appropriate if you prefer a more cautious strategy to building your position in this company. Signs to look for include evidence of realized, commercial manufacturing yields and cost curves for 18A, commercial availability and third-party verification of performance data from both 18A Panther Lake systems, confirmed timelines and volumes from external foundry customers (especially any wins related to high-end smartphones/data centers), and an established positive trajectory in gross margins/free cash flow.

Attaining these milestones would bolster the case for a $200 near-term price target, and, perhaps more importantly, establish the basis for sustainable multi-year earnings growth.