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Big Tech Faces Growing Pressure to Prove Returns on AI Spending

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Amazon, Alphabet and Microsoft face mounting investor scrutiny as cloud growth, capacity expansion and profitability become key tests of their multibillion-dollar AI investments.

Big Tech’s latest earnings season is putting the economics of artificial intelligence under the spotlight, with investors demanding clearer evidence that escalating infrastructure spending is translating into sustainable revenue growth.

According to Josh Gilbert, Lead Analyst for APAC and the Middle East at eToro, sentiment has weakened after Meta’s revenue beat failed to reassure investors following an increase in its spending plans. The reaction spilled across technology stocks, highlighting growing concerns about the returns from AI investment.

Amazon, Alphabet and Microsoft are expected to spend nearly US$580 billion collectively this year, with expenditure projected to exceed US$800 billion in 2027, Gilbert noted. The scale of investment has intensified scrutiny of their cloud businesses, which provide a direct route to monetising AI computing capacity.

Google Cloud delivered 82% growth in the previous quarter, ahead of Microsoft Azure at 42% and Amazon Web Services (AWS) at 37%. Alphabet therefore faces particularly high expectations, while investors will also watch whether AI investment puts pressure on the profitability of its core search business.

“The hyperscalers that show money coming back in will quickly separate themselves from the rest of the AI trade.” — Josh Gilbert, Lead Analyst, APAC and Middle East, eToro

For Amazon, the focus will be on whether continued infrastructure spending sustains AWS growth following its strongest quarterly performance in four years. Microsoft, meanwhile, has faced capacity constraints amid strong Azure demand. Its outlook will help investors assess how quickly new infrastructure can be converted into additional revenue.

Gilbert expects spending to remain elevated, making cloud growth the central measure of progress. The companies that demonstrate a clearer link between AI investment and commercial returns could gain an advantage as investors become more selective about the sector.

The earnings debate signals a shift in market priorities: AI ambition alone may no longer be enough. Investors increasingly want evidence of monetisation, operating discipline and a credible path to returns.

Investment disclaimer: This article is for informational purposes only and does not constitute investment advice. Investments can rise or fall in value, and capital is at risk.

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