A Message From Brownstone Research
Former tech executive Jeff Brown, the man who picked Nvidia in 2016, before it jumped as high as 37,800%, just got inside a Cybercab, Elon Musk's new car that has no steering wheel or pedals… and what happens will shock everyone. Click here to see the details or read more below.
Dear Reader,
In April 2026, Elon Musk announced he was partnering with Intel.
The result?
Shares took off…
And were trading 177% higher just two months later.
I believe Elon is about to announce a NEW partnership with this little-known company…
To work on what he called "the most epic AI project in history."
But you need to act fast…
Because Elon has already approached this company.
I believe he's going to make it official any day…
Which should send shares higher than anyone can imagine.
Click here to see the details.
We have so much to look forward to,
Jeff Brown
Founder & CEO, Brownstone Research
Exclusive Content
A 10-Stock Strategy That Balances AI Growth With Cash Flow
Reported by Thomas Hughes. Posted: 11/13/2026.

Key Points
- The AI trade is shifting from speculation to execution, favoring companies like NVIDIA, AMD, Micron, and Oracle that generate real demand, backlogs, and cash flow.
- A proposed portfolio pairs core AI infrastructure and connectivity names, including Credo, Astera Labs, and Cerebras, with stable cash-generating staples like Kroger, PepsiCo, and Casey's.
- The strategy targets a high double-digit compound annual growth rate by combining AI-driven capital gains with steady dividends, buybacks, and compounding cash flow.
- Special Report: Professor Who Lectured at Harvard Warns: Sell These 10 Stocks Before Dec. 10
The AI trade is still alive and well, but it’s shifting from speculation to execution—a phase in which investors may stand to make the biggest gains. This portfolio aims to capture that potential by focusing on the companies critical to AI’s success while balancing them with a trio of powerhouse cash-flow generators. The goal is a high double-digit compound annual growth rate, underpinned by capital gains, cash flow and the power of compounding.
Speculation drove sharp price increases as the market poured money into any stock with AI in its name or business plan. The execution phase shifts the focus from speculative what-ifs to companies producing results. It may not generate the same sharp increases, but it could deliver larger gains over time through growth and valuation. Some of these stocks may offer substantial upside based on long-term earnings forecasts, although those projections remain uncertain.
Signs of AI success include product demand, rising capacity, swelling backlogs and, critically, cash flow. While many AI stocks were punished in Q3 and early Q4, companies generating cash flow may be better positioned to recover and sustain upward momentum. When the next major market peak arrives is anybody’s guess, as the AI build-out could continue for years.
NVIDIA: The Source of AI as We Know It
Jensen Huang’s recent controversy and potential espionage-related concerns aren’t good news for NVIDIA (NASDAQ: NVDA) shareholders, but they don’t change the company’s leading position in AI or Huang’s role in shaping it. He is the architect of critical hardware and software, including the CUDA developer platform for parallel computing. CUDA helps GPUs perform complex computing tasks beyond graphics, including the workloads that power modern AI. NVIDIA’s established GPU roadmap and leadership team provide continuity as the company moves forward.
NVIDIA is central to the portfolio today because of its GPUs and the adjacent technologies that harness their power. It is also central to the long-term outlook because of the circular investment cycle Mr. Huang developed: GPU demand drives NVIDIA’s cash flow; that cash flow funds advances in AI technology; and those advances drive demand for NVIDIA GPUs. Long-term earnings growth could support further gains, although forecasts that far into the future carry substantial uncertainty.
Advanced Micro Devices: Inference and the Edge
Advanced Micro Devices (NASDAQ: AMD) is central to the portfolio because of its MI450 line and Helios rack architecture, which position the company as a major competitor to NVIDIA in large-scale AI GPU clusters.
More importantly, AMD’s clusters could compete on efficiency and cost in inference, both of which are key to hyperscale success. AMD is also a key player in the CPU market, which is important to inference as well. Demand for CPUs alongside GPUs could grow as inference gains traction, and inference could become a much larger market than model training.
AMD’s long-term growth outlook depends heavily on Helios adoption, and analysts’ earnings estimates could continue to change as deployments scale.

Micron Technology: AI and Inference Are All About Memory
Micron (NASDAQ: MU) is central to the portfolio because of its high-bandwidth memory (HBM). Strong demand and constrained supply have supported elevated HBM prices, and those conditions aren’t expected to ease soon. Supply constraints could persist through 2028 or beyond.
Recent reports suggest demand will remain strong through 2030, setting the stage for the memory upcycle to last for many years. Even if prices fall, demand could remain high, enabling Micron to generate ample cash flow and fund capital returns.
Dividends are a token amount, while buybacks are a potential catalyst, accelerating in 2026 and possibly beyond. MU’s forward earnings estimates may understate the duration of the memory upcycle, setting the stock up for a sustained bullish analyst revision cycle.
Oracle: AI Infrastructure Player, Not Just a Database Company
Oracle (NYSE: ORCL) is among the biggest AI winners, undergoing a fundamental shift from a software services company to a hyperscale AI enabler. Leading AI labs and hyperscale enterprises book Oracle’s cloud instances for advanced computing workloads and incorporate its legacy products into their operations.
Oracle competes with megatech companies while also selling them services and capacity, creating a symbiotic relationship that drives revenue for both sides. The opportunity today is the low price: the market has punished Oracle’s shares for its debt and heavy AI infrastructure spending, even as its earnings outlook points to a return to positive free cash flow later in the investment cycle.
Credo Technologies and Astera Labs: Two Sides of the Connectivity Coin
Credo Technologies (NASDAQ: CRDO) and Astera Labs (NASDAQ: ALAB) operate in the connectivity layer, providing services at different points in the AI chain. For investors, the key is that their next-generation technologies are gaining adoption and could benefit from multiyear, potentially multigenerational product cycles.
This isn’t just about a single win, but the potential for repeat business as new systems are deployed. In this scenario, both companies are positioned to serve the AI industry at large and sustain high levels of business, if not growth, for years to come.
Long-term earnings forecasts suggest substantial upside potential, although those gains depend on continued growth and execution.

Cerebras: Inference Engine Pure Play
Cerebras (NASDAQ: CBRS) is critical to AI and this portfolio because of its inference technology. Its large, dinner-plate-sized semiconductors reduce dependence on HBM by using substantial on-chip memory.
The chips work because their size lets them keep more model data on-chip. They also add utility by reducing connectivity bottlenecks, speeding time to token and lowering overall costs.
Cerebras is approaching breakeven on a core operating basis, although the longer-term transition to sustained profitability remains uncertain. Future earnings growth could offer potential upside over time.
Kroger: Dividends and Buybacks, Aisle 9!
Kroger (NYSE: KR) is central to this portfolio because of its blue-chip position in consumer staples.
As a leading independent grocery chain, Kroger benefits from daily essentials that drive consistent cash flow.
Growth isn’t substantial, but it is present, underpinning a dividend increase cycle that supports shareholder value.
Kroger has increased its payout for 20 consecutive years and continues to move closer to Dividend Champion status.
PepsiCo: Cyclical Recovery Drives Value
PepsiCo (NASDAQ: PEP) is key to this portfolio because of its healthy balance sheet, consistent cash flow and capital returns.
It’s also well positioned for a cyclical recovery as it addresses company-specific issues and adapts to consumer demands, including higher-protein snacks.
Valuation is also a factor: PepsiCo trades at a relatively low valuation compared with recent years, offering a value opportunity relative to peers like The Coca-Cola Company (NYSE: KO) and a higher-than-average yield of about 4.1% as of mid-Q4.
Casey’s General Stores: Self-Funding the Future
Casey’s General Stores (NASDAQ: CASY) merits a spot in this portfolio because of its healthy balance sheet, ability to self-fund growth, cash flow and capital returns.
Capital returns include dividends and share buybacks, with buybacks helping reduce the share count when cash flow isn’t being directed toward acquisitions.
Acquisitions such as Fikes in 2024 expand the company’s footprint while creating cost-saving opportunities and a platform for further expansion.
Looking ahead, continued consolidation in the convenience store and gas station industry could create additional opportunities for acquisitions and capital returns.

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