Meta and Microsoft earnings: the AI race enters its show-me-the-money phase

Key takeaways

• Meta and Microsoft report earnings on 29 July 2026, putting two of the artificial intelligence boom’s largest spenders under the same microscope.
  
  
• Their core businesses remain strong, but investors now want visible returns from rapidly rising artificial intelligence spending.
  
  
• Microsoft sells artificial intelligence and computing capacity directly, while Meta mainly monetises it through advertising, with cloud ambitions still emerging.

Meta and Microsoft reported their latest available quarterly results on 29 April 2026. Both delivered strong results and reminded investors that artificial intelligence comes with an increasingly large invoice.

The question is no longer whether these companies can afford the artificial intelligence race. Their core businesses generate plenty of cash. The real test is whether today’s heavy spending can create durable revenue before rising costs begin to weaken cash generation.

Two engines, one expensive upgrade

Microsoft sells software and cloud computing services to businesses. Azure rents computing power, while Microsoft 365 helps employees communicate, analyse and work. Azure continued to grow rapidly, and Microsoft’s artificial intelligence business reached meaningful scale. The company already collects revenue from customers using its infrastructure, coding tools and Copilot assistants.

Meta follows a different route. It owns Facebook, Instagram and WhatsApp, and earns almost all its money from advertising. Artificial intelligence improves content recommendations, ad targeting and campaign tools. That approach is already showing up in the results. Meta’s latest quarterly results show that it delivered more advertisements, earned more from each one and maintained a strong operating margin.

That difference may slowly narrow. Meta is exploring whether to rent spare artificial intelligence computing capacity to outside customers, creating a possible new source of cloud-like revenue. For now, however, this remains an emerging plan rather than a proven business comparable with Azure.

The key difference is still visibility. Microsoft can point to established cloud contracts and paid subscriptions. Meta mainly shows the return indirectly through stronger engagement and advertising performance. Renting computing power could produce a clearer receipt, but investors will first need proof that outside demand is durable.

Strong results meet stronger expectations

The previous reporting round set the starting point for this week’s results. Meta’s shares fell sharply after the company raised its capital spending outlook. Capital spending means money used for long-term assets such as data centres, chips and networking equipment.

Meta expects to spend between 125 billion USD and 145 billion USD in 2026. The quarter itself was strong. The concern was timing. Meta can explain how artificial intelligence improves recommendations and advertisements, but it cannot yet offer a precise financial map for newer products. Investors heard a similar request for patience during the metaverse investment cycle.

Microsoft received a more balanced response. Azure growth remained strong and its outlook was encouraging, but the result largely matched high expectations. Microsoft also expects calendar-year capital spending of about 190 billion USD.

This is the awkward mathematics of expectations. A good result can disappoint when the share price already assumes an excellent one. The market was not saying Microsoft had weakened. It was asking whether growth was exceptional enough to justify an exceptional bill.

What the next quarter needs to prove

The next earnings season will test whether artificial intelligence demand is keeping pace with investment. For Microsoft, the clearest signal will be Azure growth. Investors will also watch whether limited data-centre capacity still holds back sales, or whether new infrastructure begins to support faster growth.

Meta faces a different test. The main drivers remain advertising volumes, pricing and user engagement. Investors will want evidence that better recommendations keep people active for longer and that improved advertising tools help businesses spend more effectively. Any progress towards renting spare computing capacity could offer an additional revenue stream, but it remains an early opportunity.

Costs will matter almost as much as growth. Both companies are building more data centres and buying large numbers of advanced chips. Investors should therefore watch capital-spending guidance, operating margins and free cash flow, which is the cash left after running the business and funding long-term investments.

Risks worth watching

The first risk is that investment rises faster than demand. Warning signs include weaker free cash flow, slower cloud usage or fading advertising improvements.

The second is cost inflation. More expensive chips, electricity and construction can reduce returns even when revenue grows. Investors should watch whether depreciation, the gradual accounting cost of equipment, rises faster than sales.

The third is strategic drift. Microsoft must turn Copilot interest into regular paid use. Meta must avoid funding too many distant projects while advertising carries the load.

Investor playbook

• Separate artificial intelligence revenue from broad management claims about future opportunity.
• Compare capital spending with operating cash flow over several quarters, not one reporting day.
• Watch customer usage, pricing and margins to judge whether adoption creates economic value.
• Diversify across platforms, infrastructure suppliers and sectors driven by different forces.

From impressive machines to useful economics

Meta and Microsoft show that artificial intelligence already improves real businesses, but the next phase becomes harder. Microsoft appears to have the clearer route from computing demand to revenue. Meta offers the stronger example of artificial intelligence quietly improving an existing profit engine. Neither receives unlimited patience.

Data centres must fill, AI assistants must become habits and better recommendations must keep advertisers spending. For investors, the useful question is not which company tells the grander story. It is which repeatedly turns expensive infrastructure into customer value, pricing power and cash over time. The AI race is built on powerful machines, but lasting value still depends on what they earn.

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