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Cathie Wood Says Software Is the Next Big AI Opportunity — 1 Unstoppable $2 Trillion Stock You'll Wish You'd Bought if She's Right

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Cathie Wood is the founder of Ark Investment Management, which operates several exchange-traded funds (ETFs) focused on innovative technology stocks. Wood thinks software companies will be the next big opportunity in the artificial intelligence (AI) industry, predicting they could generate $8 in revenue for every $1 they spend on chips from suppliers like Nvidia.

Since making that call last year, Wood has backed up her words with actions by investing heavily in leading AI start-ups like OpenAI, Anthropic, and xAI through the Ark Venture Fund. Plus, Ark’s ETFs hold a number of popular AI stocks like Tesla, Alphabet, and UiPath.

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If Wood proves to be right about AI software companies, here’s why Amazon (NASDAQ: AMZN) could be among the biggest winners.

Amazon is one of five American companies worth $2 trillion or more, and each of them is battling for AI supremacy. But this company has one distinct advantage: It’s home to Amazon Web Services (AWS), which is the world’s largest cloud computing platform. It’s where businesses can access hundreds of services to power their digital transition, but it’s also a go-to destination for a growing suite of AI services.

AWS wants to dominate all three layers of AI: data center infrastructure, large language models (LLMs), and software. Amazon operates data centers filled with graphics processors (GPUs) from suppliers like Nvidia, but it also designed its own chips called Trainium (for AI training) and Inferentia (for AI inference). Amazon says developers can save 50% on training costs by using Trainium1 compared to competing chips, and with Trainium2 now rolling out, those savings could grow even further.

Then there is Amazon Bedrock, where developers can access industry-leading LLMs like Anthropic’s Claude 3.5, Meta Platforms‘ Llama 3.2, and Amazon’s own Titan family of models. Most developers will opt for a third-party LLM to build their AI software because it’s cheaper than creating an LLM from scratch, which requires significant financial resources.

At the software layer, Amazon developed a virtual assistant called Q. It can answer questions about an organization’s internal data and policies, or it can be prompted to generate computer code to accelerate software development. Amazon says Q has the highest code acceptance rate in the industry, and on one specific internal project alone, it saved Amazon $260 million and a whopping 4,500 developer years.

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