Most people chase what might pop next week. That’s not the game here. This list is built for the next few years, companies with strong products, real users, and business models that can keep stacking revenue and cash flow even when the market gets noisy. If prices stay messy in 2026, that can be a gift for long-term entries.

Below are the six names StockStudy with 2.15k subscribers says he’s buying right now, plus the simple reason each one made the cut.

Adobe has been punished on the chart, but the business has kept growing. The big fear is “AI kills Photoshop.” The case here is simple: Adobe’s core buyers are pros and teams who need tight control, repeatable workflows, and a clean final output. 

AI can speed up the first draft. It still struggles with the last 10% that clients care about. Adobe also keeps adding AI tools inside the suite, which makes the product stickier for the people who pay the bills.

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Uber’s threat is self-driving cars. The key counter is demand swings. Ride demand changes by hour, day, season, and city. A fixed fleet of robotaxis can’t flex like humans can. 

Uber already has the demand engine and the pricing engine. This gives it a big role even if autonomous vehicles take off. It can be the primary way that demand is channeled and supply (human + autonomous) is matched.

Amazon is a lagging stock among its peers, but the long game is margin acceleration. E-commerce has been low-margin for years. The bet is that AI and robotics keep improving efficiency inside fulfillment, delivery, and operations. 

AWS stays a major profit driver, but the hidden upside is retail getting more efficient over time. If margins improve even a little at Amazon’s size, earnings can scale fast.

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Meta is an ad machine with huge scale. The worry is how much it’s spending on AI infrastructure. The reason it stays on the list is simple: Meta’s core business throws off a lot of cash, and better AI tends to improve ad targeting and conversion. 

If their AI spend keeps improving results, the market can stop punishing the stock for the bill.

Duolingo looks hated on the chart, but the business metrics in the transcript are strong: revenue growth, subscriber growth, and rising cash flow. The real edge is retention. 

Duolingo has years of testing behind streaks, leagues, rewards, and habit loops that keep people coming back. AI can generate lessons. It doesn’t automatically build daily habits. Duolingo’s product is built around that.

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Netflix is a scale business. Content is expensive, but the more subs you have, the easier it is to amortize that expense. Netflix is fortunate because they can spend big and maintain strong unit economics. 

The ad service is another source of revenue and will give Netflix a way to compete even if the streaming business remains a crowded one.

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