Pure Storage, Inc. (NYSE:PSTG) Is A Top Goldman Sachs Phase 2 AI Stock Up 52% YTD

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We recently made a list of Goldman Sachs’ Best Phase 2 AI Stocks: Top 24 High Conviction AI Stocks. In this piece, we will look at where Pure Storage, Inc. (NYSE:PSTG) ranks among the list of Goldman Sachs' Phase 2 AI stocks.

While consumer technology stocks had soared in the aftermath of the coronavirus pandemic, back then, their share price gains were due to. the growing demand for technology products and services due to lock downs. Now, big technology stocks have persisted in their strong performance despite high interest rates since they have been judged by the market as the top innovators and performers in the artificial intelligence industry.

Since AI is somewhat of a ubiquitous technology, its impact is on several industries. So far, we’ve seen most of the stock market returns related to AI directly tied to just one stock. This stock continued to be the fifth most trending AI stocks as recently as in mid October and its share price returns are nothing short of unbelievable. From its bottom in October 2022 when the split adjusted share price was a mere $11.23, the shares have gained a stunning 1,100%. In other words, if you had invested just $100 back then in the shares and then held onto them for dear life, your investment would be worth $1,200 today.

This is the magic of AI, a technology that has caught Wall Street and retail investors alike by storm. However, AI’s impact, and its enablement, aren’t limited to the GPU designer we’ve mentioned above. While GPUs are the ‘oil’ for this technology, a wide variety of other components from data center infrastructure, networking equipment, connectivity, and energy all will have to play their part if OpenAI CEO Sam Altman’s plans of initially building as many as 7 AI data centers across the US, with each data center guzzling an unbelievable 5 Gigawatts of electricity, are to come to fruition.

This then makes us ask, what are such stocks that might enable 35 Gigawatts of AI data centers across the US? After all, in order to meet the world’s demand for AI chips, Altman believes that an unfathomable $7 trillion will need to be spent for building 36 chip manufacturing fabs and additional AI data centers. This money has to be spent somewhere, and therein lies the answer to our question. Things get clearer when we look at a detailed research report from investment bank Goldman Sachs. This report segregated the AI sector into four categories.

The first category only included Wall Street’s AI darling, the second was made of AI capacity providers like server companies, other semiconductor firms, and utilities, the third included firms that sell AI products and software, and the fourth category firms were those that will benefit from AI adoption. In its report, the investment bank shared that year to date in July, the first category had returned 139%. As of mid October, this category has gained 179% on the stock market, so safe to say returns have accelerated despite some turbulence in between. By July, the second group of firms was also doing well. Its returns ranged between ~-8% to ~50%, with the average stock having delivered 22%.