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Big Tech Earnings and the AI Cycle: From Hype to Heavy Investment
Recent earnings from major technology companies suggest the artificial intelligence (AI) narrative is evolving. What once centred on innovation and potential is now defined by execution, scale, and cost.
Meta, Microsoft, Tesla, and IBM are all investing heavily in AI, but their results show very different paths through the same cycle. Together, they offer a clearer picture of where AI stands today and what markets are beginning to prioritise.
From Experimentation to Industrialisation
The common thread across these earnings is the shift from testing AI capabilities to deploying them at scale. This transition comes with a price tag.
Capital expenditure (CapEX) is no longer optional. Infrastructure, data centres, and specialised chips have become the cost of staying competitive.
The S&P 500 crossed 7,000 points for the first time in January 2026, propelled by AI-driven investor optimism and expectations of strong tech earnings. Tech stocks now constitute nearly half of the index’s weight.
Markets are no longer impressed by ambition alone. They want evidence that AI can generate revenue, protect margins, or reshape long-term strategy.
Meta and Microsoft: Growth Comes at a Cost
Meta stock results highlight how AI can already enhance core businesses. The company reported Q4 revenue of $59.9 billion, up 24% year on year, with earnings per share of $8.88, comfortably beating expectations.
For full analysis read this article
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