4 Reasons to Buy Alphabet Stock Like There's No Tomorrow

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With the market just hitting new all-time highs and the average market valuation at the upper end of the historical range, some may think there aren't any bargains left to buy.

But that's usually never true, as there are always bargains to be found in some corner of the market.

And sometimes, a good deal comes even in the form of a household name staring you right in the face. Today, Alphabet (NASDAQ: GOOG) (NASDAQ: GOOGL) looks like that very bargain.

1. It's cheap

Despite a nice rally last year, Alphabet remains the cheapest stock in the Magnificent Seven. Alphabet has a P/E ratio of 26.8, whereas no other Mag Seven stock has a valuation below 30. On a forward basis, Alphabet's forward P/E ratio is just 22.5.

GOOG PE Ratio Chart
GOOG PE Ratio data by YCharts

That forward P/E ratio is even below that of the S&P 500 index, which stands at 24.3.

The low valuation comes in spite of several other elements that make Alphabet even cheaper than it looks. This includes the $93 billion in cash on Alphabet's balance sheet, good for about 4% of its market cap. And Alphabet continues to lose money on its experimental "Other Bets" segment. While suppressing today's profit, as we'll see, some of those projects are likely to have significant positive value.

2. Alphabet's AI chops continue to be underrated

Part of the reason Alphabet's valuation is so low is that investors are concerned that the bevy of artificial intelligence start-ups like OpenAI, Perplexity, and others will threaten the Google Search business.

However, Google Search has enormous distribution, so much so that the name Google is synonymous with search. And Alphabet's AI subsidiaries DeepMind and Google Brain, brought together by Google in 2023, were the first to develop transformer technology, which is the breakthrough innovation that has enabled ChatGPT and other recent AI innovations.

The advent of ChatGPT initially caught Alphabet off guard, but Google's AI researchers seem to have gotten their act together over the past year. In December, Alphabet released Gemini 2.0, its in-house large language model, to rave reviews. And by putting AI-powered summaries at the top of appropriate searches, Google should be able to head off would-be competitors and keep customers in the Google ecosystem when searching for information.

Last quarter, Google Search still managed to grow 12.2% despite its already massive size, showing no ill effects from the new AI competition. And since Alphabet produces its own in-house tensor processing units and has optimized its own AI infrastructure, Google's costs to produce AI are likely to be much lower than any startup, which probably has to run models on expensive Nvidia GPUs rented from the major clouds.