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Microsoft trades cheapest of big tech on AI spending gap

Microsoft trades cheapest of big tech on AI spending gap

3 Key Points

  1. What happened

    Microsoft is the cheapest of the four big tech stocks on price-to-operating-earnings, with about $175 billion budgeted for capex this year versus Alphabet's and Amazon's $200 billion-plus.

  2. Why it matters

    Investors are pricing Microsoft's middle-ground approach to AI data centers at a discount to Alphabet and Amazon, which are spending more heavily on AI infrastructure.

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Context & Analysis

The four stocks that usually anchor any big tech discussion — Apple, Alphabet, Microsoft, and Amazon — carry different valuations because of how each is approaching AI. Apple has largely stayed out of AI data center construction, a stance that has made its stock a haven for investors wary of an AI bubble, though the piece notes this could prove either a genius strategy or a costly mistake in retrospect.

Alphabet and Amazon have gone all-in, spending every penny they can on AI data centers for their cloud computing units, and their stocks have become attractive to AI bulls as a result. Microsoft sits in the middle: it is spending heavily on AI, but not to the same degree, and its flagship AI product, Copilot, consistently lags the competition in AI proficiency scores. The market wants an all-in or all-out approach, and Microsoft's middle-ground position has made it a less popular investment — which is why its valuation is the cheapest of the cohort.

FAQ
Why is Microsoft cheaper than Alphabet and Amazon?
The market views Microsoft as less committed to AI data centers than Alphabet and Amazon, which are spending more heavily on cloud computing infrastructure.
What is Microsoft's capex budget this year?
Microsoft has budgeted for around $175 billion in capital expenditures this year, while Alphabet's and Amazon's capex bills will each top $200 billion.
How does Apple fit into this comparison?
Apple is meaningfully more expensive than Microsoft, Alphabet, and Amazon on a price-to-operating-earnings basis, partly because it has done little with AI and avoided building a massive fleet of AI data centers.
Yahoo Finance AIRead Original Article

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