The best stocks to double right now

It’s been hard to find a good deal on the stock market lately. Since the big tech hyperscalers like it Microsoft, Meta platforms, Amazon, Alphabet, adzeand Apple announced that they will spend nearly $700 billion on capital expenditures this year, artificial intelligence (AI) stocks have seen epic selling pressure.

Still, smart investors look closely at macro themes. The ongoing selloff in the tech landscape is primarily hitting software stocks the hardest. As spending on AI infrastructure increases, growth can be found in companies positioned to absorb large-scale budget spending.

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Let’s dig into two AI chip stocks that look like great long-term buys as the AI ​​infrastructure revolution accelerates.

Image source: Getty Images.

On the surface, $700 billion worth of AI investment probably makes you think twice Nvidia and Advanced microdevices are the AI ​​semiconductor stocks to buy right now. After all, Nvidia’s Blackwell GPUs and upcoming Rubin GPUs were so popular that the company’s backlog was estimated by management to be in the hundreds of billions of dollars.

Some developers are investing in ways to migrate away from incumbents, however. Both Meta and Alphabet are designing their own custom AI accelerators — known as MTIA and TPU chips. Broadcom (NASDAQ: AVGO) helps both companies with their custom silicon solutions.

Another way Broadcom is benefiting from growing data center construction is through networking. When hyperscalers buy chips from Nvidia and AMD, they buy GPUs in the hundreds of thousands.

To connect these clusters, you need to connect the GPUs with routing and switching equipment. Broadcom’s Tomahawk and Jericho chips are the gold standard when it comes to stitching AI fabrics together and keeping GPU clusters processing data at ultra-low latencies.

The theme here is that Broadcom is quietly positioned to benefit alongside its peers as increasing amounts of AI capital are allocated to critical networking equipment and move beyond a sole focus on purchasing GPUs.

For almost three years, generative AI has been a core function of large language models (LLMs) — chatbots like OpenAI’s ChatGPT, Alphabet’s Gemini, X’s Grok or Anthropic’s Claude. Growing AI infrastructure doesn’t mean building more chatbots, though.

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