Explore the latest developments concerning Prediction: The Nasdaq.
Prediction: The Nasdaq Will Recover From This Correction Before the End of 2026. History Says Buy These AI Stocks Now.
The Nasdaq entered correction territory last month as artificial intelligence (AI) stocks dragged the index lower.
When corrections hit the stock market, crowds tend to form around the obvious: megacap blue chips, diversified business models, and brand moats. This playbook works, but I think it may already be priced into technology stocks.
The most lucrative opportunities in the Nasdaq Composite's (^IXIC +0.75%) recovery don't necessarily require identifying the safe stocks. It's finding which stocks are being punished for the wrong reasons but still stand to benefit from multi-year secular artificial intelligence (AI) tailwinds at a discount.
Nvidia has been the top name in the semiconductor arena for more than three years now. Few investors understand that hyperscalers like Alphabet, Amazon, and Microsoft are building their own custom AI chips to reduce GPU dependency on external suppliers.
Broadcom (AVGO) is a Top AI Stock Pick of Billionaire Ken Fisher in 2026 – Here’s Why
We just covered Billionaire Ken Fisher’s Latest Portfolio: 10 Best AI Stocks to Buy. Broadcom Inc. (NASDAQ:AVGO) ranks #8 (see the 5 Best AI Stocks to Buy).
Companies are racing to sign multi-year AI chip contracts with Broadcom Inc. (NASDAQ:AVGO). Recent deals include hyperscaler commitments from Google, Anthropic, and TikTok/ByteDance. What’s special about Broadcom Inc. (NASDAQ:AVGO) is its ability to deliver custom, workload-specific silicon that general-purpose GPUs cannot match.
Broadcom Inc’s (NASDAQ:AVGO) moat is strong because there are only a few companies capable of delivering high‑performance custom chips tailored for large‑scale AI workloads, and that specialization delivers real economic advantages. While Nvidia’s GPUs dominate general‑purpose AI compute, Broadcom designs application‑specific ASICs and XPUs that hyperscalers prefer for massive inference tasks because they can reduce total cost of ownership by roughly 40–60% compared with GPU clusters, especially in steady, predictable production environments.
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Forget NVIDIA: 2 AI Stocks Poised to Be Next Big Winners
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