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Home.forex news reportWhat Is One of the Best AI Stocks to Buy and Hold...

What Is One of the Best AI Stocks to Buy and Hold in 2026 and Beyond?

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Identifying which artificial intelligence (AI) stock has the most potential in 2026 and beyond is no simple task. If your time frame after 2026 is only a few years, then an AI infrastructure company like Nvidia may be the best option. If your time frame runs for a decade after 2026, you may be better off with a software company like Palantir.

However, if you’re looking for a combination of these two options, Alphabet (NASDAQ: GOOG) (NASDAQ: GOOGL) is one of the best AI stocks to buy and hold.

Alphabet has had a stellar year, rising around 60% so far in 2025. I don’t expect that performance to repeat in 2026, but I still think it has market-beating potential.

AI robot hand touching a dashboard.
Image source: Getty Images.

Alphabet’s primary business is the Google Search engine. At the start of 2025, a large majority of investors assumed that generative AI technologies would replace Google. However, Alphabet saw the writing on the wall and made swift changes.

The biggest innovation was the integration of AI-powered Overviews in Google Search. These provide nearly every search result with a generative-AI summary at the top of the page, giving the user a hybrid experience.

For many, these will be the most AI capabilities that they need. For others, Google’s generative AI model, Gemini, has emerged as a top option in the space.

In one year, Gemini has risen from the laughingstock of the AI world to one of the best. Its improvements were so impressive that they forced OpenAI, the makers of ChatGPT, to declare a “code red” at the company. That’s a long way from where Gemini was viewed entering 2025, and the change in fortunes for both the Google Search business and the progress of Alphabet’s generative AI model can be thanked for its stock performance.

Another area that boosted Alphabet’s stock was the performance of its cloud computing division, Google Cloud, which is building out excess computing capacity to rent to those who cannot build their own data centers. Within Google Cloud, Alphabet provides access to its custom tensor processing units (TPUs), which can outperform graphics processing units (GPUs) when the workload is properly configured.

These computing units have been Alphabet’s secret weapons in training its cutting-edge generative AI models, and locking access to them behind one of its other business units is genius. However, management may be exploring alternative territory.



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