Artificial intelligence (AI) has helped several companies achieve market capitalizations of more than $1 trillion in recent years. There is a good chance that the rapid adoption of this technology will help many more companies achieve a valuation like this in the future.
After all, AI adoption is expected to increase rapidly in the coming years. Grand View Research expects AI to generate almost $3.5 trillion in revenue in 2033, up from $391 billion last year. That’s why it won’t be surprising to see a company like Sandisk (NASDAQ: SNDK) achieve the trillion-dollar milestone.
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The share price of the flash storage company has surged by just over 1,200% over the past year. It currently has a market cap of $105 billion. Can it replicate such growth in the future and join the trillion-dollar club?
Sandisk stock’s 12-fold jump in the past year is driven by the outstanding growth in the company’s bottom line. The company reported a non-GAAP (adjusted) profit of $2.99 per share in fiscal 2025 (which ended in June last year), a major improvement over a loss of $3.46 per share in the preceding year. Its adjusted earnings have shot up by almost 150% in the first half of fiscal 2026 to $7.55 per share.
Importantly, analysts believe Sandisk’s earnings growth will step on the gas in the second half of the year, followed by significant increases over the next couple of years.
Sandisk’s guidance suggests the same. Its earnings-per-share (EPS) forecast of $13 for the current quarter would be a huge improvement over the $0.30-per-share loss it reported in the year-ago period. The exponential jump in Sandisk’s bottom line is the result of an acute shortage of flash storage products, caused mainly by robust demand for enterprise solid-state drives (SSDs).
AI data centers have been turning to enterprise SSDs to meet their storage needs. That’s because traditional hard-disk drives (HDDs), which are cheaper than SSDs, have reportedly been sold out until the end of 2027. In fact, Western Digital points out that it is already receiving firm purchase orders for HDD shipments in 2027 and 2028.
As AI data centers need to store huge amounts of data to run models and inference applications, they are quickly transitioning to SSDs. That’s not surprising, as the ability of SSDs to quickly fetch data helps them lower the operating costs of data centers. Also, SSDs are known to occupy less space and consume less power than traditional HDDs, making them ideal for AI data centers.