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Despite a massive surge in cloud demand, the tech giant missed Wall Street targets, wiping billions off its value and sending jitters through global markets.

The seemingly unstoppable rally of artificial intelligence hit a harsh reality check on Wednesday as Oracle, a bellwether for enterprise technology, saw its shares nosedive more than 10% in after-hours trading.
While the Silicon Valley giant posted significant growth in its AI division, a broader revenue miss has reignited global anxiety over a potential "AI bubble"—a shift in sentiment that could ripple through tech investments and digital infrastructure pricing worldwide, including here in East Africa.
Oracle reported revenue of $16.06 billion (approx. KES 2.08 trillion) for the quarter ending in November. While a staggering figure, it fell short of the $16.21 billion (approx. KES 2.1 trillion) projected by Wall Street analysts.
Despite the miss, the company highlighted a robust performance in its core growth engine. Revenue growth climbed 14% overall, driven by a dramatic 68% surge in sales at Oracle Cloud Infrastructure (OCI). This division is critical as it services major developers who build the AI tools used globally.
However, the market's reaction was swift and unforgiving. Wednesday’s results failed to quell investor fears that the hype surrounding artificial intelligence may be outpacing the financial reality.
The drop marks a significant reversal for a company that has been riding the crest of the AI wave. Just months ago, Oracle’s stock was charting new highs, fueled by insatiable demand for computing power.
In a statement issued Wednesday, Mr. Ellison struck a notably cautious tone, a departure from the exuberant forecasts that have characterized the tech sector throughout 2025.
For Kenyan investors and tech observers, the volatility serves as a reminder that while the AI revolution is real, the market mechanics supporting it remain fragile. As global tech giants adjust their expectations, the ripple effects will likely influence everything from software licensing costs to the availability of cloud infrastructure in emerging markets.
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