Warren Buffett's Biggest Artificial Intelligence Bets in 2026: 23% of Berkshire Hathaway's $311 Billion Stock Portfolio Is in These 2 AI Stocks

By Eric Volkman | December 13, 2025, 5:50 AM

Key Points

The leader of Berkshire Hathaway, Warren Buffett, was a tech stock holdout for decades. Nothing lasts forever, though, and largely thanks to his lieutenants Ted Wechsler and Todd Combs, Berkshire is now a major institutional investor in such equities.

As such, it's also indirectly at the front of the artificial intelligence (AI) revolution. In fact, nearly one-quarter of Berkshire's equity portfolio market cap is invested in two companies actively utilizing the technology -- Apple (NASDAQ: AAPL) and Google's parent company, Alphabet (NASDAQ: GOOG)(NASDAQ: GOOGL), in the form of its Class A shares. Let's explore how AI is affecting their businesses.

Where to invest $1,000 right now? Our analyst team just revealed what they believe are the 10 best stocks to buy right now, when you join Stock Advisor. See the stocks »

1. Apple

For a huge tech company with considerable resources, Apple hasn't effectively leveraged those advantages to establish any kind of AI leadership. Some might have thought the company would be a pacesetter when it announced Apple Intelligence, its suite of AI-enhanced features, with its usual fanfare in mid-2024.

AAPL.

Image source: Getty Images.

Instead, the rollout of Apple Intelligence (AI, get it?) has felt somewhat haphazard; in some respects, it feels like this historically adventurous company is being cautious at best.

The system is limited to newer products equipped with its more-powerful processors, like the iPhone 17. It also enhances a select group of apps, and in doing so, it basically runs in the background.

To me, the company hasn't yet developed a single whiz-bang piece of software that features AI front and center. That includes Siri, its digital assistant, which has been promised a big AI makeover.

Apple is a famously secretive company, making it something of a challenge to uncover the core reasons behind its relatively slow development of AI. Turnover might be a factor -- the company's senior vice president of machine learning and AI strategy, John Giannandrea, is departing early next year.

If I had to hazard a guess, I'd say that the company's AI lag might have more to do with corporate culture: It prefers to develop its systems and hardware in-house, partnering only selectively. It also likes its iOS ecosystem to be as smooth, reliable, and stable as possible, and many of the current AI models on the scene are often anything but.

So I wouldn't personally flag Apple as an AI play. In fact, I'm glad the company continues to operate in its wheelhouse of cool devices and the useful services that make them compelling products (and help to juice growth, by the way). I'm holding on to my Apple shares, but AI isn't the reason.

2. Alphabet

By contrast, Alphabet has fully embraced AI and is clearly determined to be a leader in the technology. The company has been active in the AI sphere for longer than many might realize -- its modern deep-learning efforts officially began with the formation of the wonderfully named Google Brain project in 2011.

These days, Alphabet is all about integration with its AI offerings, anchored by the foundational Gemini family of models.

person biking on google campus with google logo reflection in background_alphabet_google.

Image source: Getty Images.

AI suffuses a raft of company products these days, most notably (and usefully, I'd say) as a solution embedded in the company's near-unavoidable search function. These days, a user input that reads more like a question than a simple query will often be presented with an AI Overview that does a fairly good and accurate job of covering the topic.

The company's AI technology also contributes to many of Google's public-facing software products. A user can effectively apply it as a co-author in a Google Docs document, for example, and harness data from files stored in Google Drive.

And Alphabet is no slouch when it comes to developing cutting-edge AI hardware. It created tensor processing units (TPUs), powerful specialized chips that can handle the heavy computational needs of AI. The company offers access to them as a service via Google Cloud and is now shifting toward offering them directly to large customers.

Alphabet does not break out granular data on how its AI offerings are helping its fundamentals, but we can safely assume they're a significant driver of growth. In its third quarter, the Google Cloud unit -- which houses many AI tools and services for clients -- experienced a 34% year-over-year increase in revenue to more than $15 billion, largely due to strong demand for these offerings.

So we can say that AI is not only an important technology for Alphabet, it's also sharpening the company's already razor-like competitive edge and helping to bring in billions of bucks in revenue. That, to me, makes it an ideal AI play.

Should you invest $1,000 in Apple right now?

Before you buy stock in Apple, consider this:

The Motley Fool Stock Advisor analyst team just identified what they believe are the 10 best stocks for investors to buy now… and Apple wasn’t one of them. The 10 stocks that made the cut could produce monster returns in the coming years.

Consider when Netflix made this list on December 17, 2004... if you invested $1,000 at the time of our recommendation, you’d have $507,421!* Or when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you’d have $1,109,138!*

Now, it’s worth noting Stock Advisor’s total average return is 972% — a market-crushing outperformance compared to 195% for the S&P 500. Don’t miss out on the latest top 10 list, available when you join Stock Advisor.

See the 10 stocks »

*Stock Advisor returns as of December 8, 2025

Eric Volkman has positions in Apple. The Motley Fool has positions in and recommends Alphabet, Apple, and Berkshire Hathaway. The Motley Fool has a disclosure policy.

Latest News

19 min
1 hour
2 hours
3 hours
3 hours
4 hours
7 hours
8 hours
Dec-12
Dec-12
Dec-12
Dec-12
Dec-12
Dec-12
Dec-12