Big Tech earnings signal AI expansion fuelled by advertising momentum
If advertising is funding the present, artificial intelligence is shaping the future. The defining metric of this earnings season is not revenue or profit, but capital expenditure
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Published: Feb 9, 2026 9:02 AM | 7 min read
The latest round of earnings from the world’s largest technology companies has done more than exceed expectations. It has revealed a significant recalibration in how growth is pursued, measured and justified in the age of artificial intelligence. Across Alphabet, Amazon, Meta Platforms, Microsoft and Reddit, the pattern is remarkably consistent: advertising revenues are accelerating, cloud and AI businesses are scaling rapidly, and capital expenditure is rising to levels rarely seen in corporate history.
Together, these results suggest a technology sector no longer defined by asset-light expansion or headcount-driven scale. Instead, Big Tech is entering a phase in which physical infrastructure, energy access and computing capacity are becoming the primary drivers of competitive advantage.
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Advertising reasserts itself as the financial backbone
One of the clearest takeaways from this earnings cycle is the renewed strength of digital advertising. Long regarded as vulnerable to macroeconomic slowdowns and regulatory pressures, advertising has once again demonstrated its resilience.
Alphabet closed calendar year 2025 with revenues of US$402.8 billion, marking the first time the company has surpassed the US$400 billion threshold. In the December quarter alone, revenues rose 18% year-on-year to US$113.8 billion, while net income surged 30% to US$34.5 billion. Advertising remained the dominant contributor, generating US$82.3 billion during the quarter. Search advertising grew 17 percent, while YouTube advertising reached US$11.4 billion, supported by stronger monetisation and sustained marketer demand.
Meta’s results tell a similar story, albeit with an even greater reliance on advertising. Advertising accounted for more than 97 percent of the company’s total revenue in both the quarter and the full year. In the fourth quarter, ad revenue rose 24 percent year-on-year to US$58.14 billion, lifting total revenue to US$59.89 billion. For the full year, advertising revenue reached US$196.18 billion, up from US$160.63 billion in 2024. Growth was driven by higher ad impressions and improved pricing, underscoring the central role of Meta’s Family of Apps in global marketing budgets.
Even newer public companies are experiencing rapid growth in advertising. Reddit reported fourth-quarter revenue of US$726 million, a 70 percent year-on-year increase, with advertising revenue rising 75 percent to US$690 million. For the full year, the company generated US$2.2 billion in revenue, of which US$2.1 billion came from advertising. Strong margins and disciplined spending translated into net income of US$530 million, signalling that advertiser interest is extending well beyond the largest platforms.
Amazon’s advertising business, often overshadowed by its commerce and cloud operations, also posted robust growth. Advertising revenue rose 22 percent year-on-year, providing another high-margin stream to the company’s increasingly diversified revenue mix.
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Cloud and AI turn scale into a capital game
If advertising is funding the present, artificial intelligence is shaping the future. The defining metric of this earnings season is not revenue or profit, but capital expenditure.
Alphabet, Amazon, Meta and Microsoft together have forecast capital spending of around US$650 billion for 2026. This investment is largely earmarked for data centres, AI chips, networking equipment and the supporting infrastructure required to operate increasingly complex models. Individually, each company’s planned outlay would represent one of the highest annual capital expenditure figures recorded by any corporation in the past decade.
Microsoft’s results highlight how enterprise demand is driving this investment. The company reported second-quarter revenue of US$81.3 billion, up 17 percent year-on-year, while net income surged 60 percent to US$38.5 billion. Microsoft Cloud revenue exceeded US$50 billion in the quarter, reflecting strong uptake of AI-driven services across enterprises. Remaining performance obligations stood at US$625 billion, more than double the level a year earlier, providing clear visibility into future demand.
Amazon’s cloud business showed similar momentum. AWS revenues grew 24 percent year-on-year in the fourth quarter to US$35.6 billion and 20% for the full year to US$128.7 billion. Operating income from AWS reached US$45.6 billion in 2025, underscoring its role as Amazon’s most profitable segment. Yet this growth was accompanied by a sharp decline in free cash flow, which fell to US$11.2 billion over the trailing twelve months, primarily due to a US$50.7 billion increase in spending on property and equipment. Amazon has indicated that these investments are largely focused on artificial intelligence.
Meta’s shift is equally revealing. For the first time in six years, the company spent more on capital projects than on research and development. Property and equipment on its balance sheet rose to US$176 billion, nearly five times the level recorded at the end of 2019. Alphabet is also preparing for a sharp increase in capital spending as it expands data centre capacity to support AI and cloud growth.
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As analyst Gil Luria of DA Davidson has noted, these companies view the race to provide AI compute as a winner takes most market, and none of them is willing to fall behind. That urgency explains the speed and scale of investment, even as it introduces execution risk and pressure on returns.
Profits rise amid a quieter workforce story
Alongside record revenues and expanding margins, a less visible but equally important trend has emerged. Over the past two years, these companies have carried out large-scale layoffs, reducing headcount even as profits have risen.
Operating leverage has improved across the board. Alphabet’s operating income reached US$35.9 billion in the December quarter. Meta’s Family of Apps delivered operating income of more than US$102 billion for the full year. Microsoft exceeded expectations for operating income and earnings per share, while Reddit posted a nearly threefold increase in quarterly net income.
These gains, however, have not been matched by comparable growth in employee numbers. Instead, companies have prioritised efficiency, automation and tighter cost discipline. Artificial intelligence tools are increasingly being positioned as productivity enhancers, enabling companies to achieve more with fewer staff.
This contrast raises an uncomfortable question for the sector: are these profit gains the result of sustainable efficiency improvements, or do they reflect a temporary phase in which cost-cutting and deferred hiring are inflating margins? More importantly, what does growth mean when it is driven more by machines and infrastructure than by human capital?
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Redefining growth in the AI era
Earnings from Big Tech this quarter paint a picture of an industry in transition. Advertising remains the sector’s economic engine, proving more resilient and scalable than many had expected. Cloud and AI are reshaping competitive dynamics, requiring levels of capital investment that evoke earlier eras of industrial expansion rather than the digital age. Profitability is rising, yet the traditional link between growth and employment is weakening.
For investors, the immediate question is whether these vast capital commitments will deliver the returns being promised. For policymakers and communities, the implications for energy use, infrastructure strain and economic concentration are becoming increasingly difficult to ignore. For employees, the shift highlights a more fundamental change in how value is created within technology companies.
What emerges from this earnings season is not a single narrative of success or risk, but a more nuanced recalibration. Big Tech is still growing, but it is growing differently. In an economy increasingly shaped by artificial intelligence, the true measure of progress may no longer be the number of people a company employs, but how effectively it converts capital and computing power into lasting value.
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