The Best AI Chips Stocks to Buy Right Now in 2026 looks at how memory, storage, and inference chips are powering the next leg of the AI boom and highlights a handful of names positioned to benefit. This piece breaks down why demand is surging, where revenue growth is concentrated, and which businesses are already seeing dramatic jumps in sales and profits. Read on for a straightforward look at the forces driving semiconductor winners and what to watch next.
AI has slammed gasoline on the semiconductor engine, turning chips into the core infrastructure for every stage of model training and deployment. With massive datasets and hungry models, data centers now need more memory and storage than ever, and that demand is reshaping vendor fortunes. The headline is simple: no chips, no large language models, and that reality is lifting entire parts of the market.
Industry forecasts back this up: semiconductor revenue is projected to surge significantly in 2026, driven largely by memory and storage demand. Spending on memory alone is expected to jump markedly from recent levels to meet the needs of AI training and inference. That growth is not theoretical; it is showing up in corporate results and long-term supply commitments across the industry.
Memory and storage companies stand to capture the biggest slice of this expansion because AI workloads both compute and store unprecedented volumes of data. Companies that make DRAM and NAND flash are seeing pricing and volume tailwinds that translate directly into revenue. When the economics of both DRAM and NAND line up, earnings can move very quickly, and investors are noticing.
Micron is a standout example because DRAM makes up the bulk of its business and drives its margins when pricing is favorable. The company reported a dramatic swing in profitability recently, with per-share results jumping sharply year over year and guidance pointing to further gains. That kind of earnings momentum is exactly what investors chase when a cyclical upswing aligns with structural AI demand.
Storage specialists are riding the same wave. Sandisk reported explosive revenue growth and posted strong adjusted earnings after a period of breakneck expansion in cloud and data center demand. Customers are signing multiyear supply agreements, and the contractual backlog dwarfs a single year’s revenue, which signals long lead visibility for production and sales.
Supply tightness for memory chips looks likely to persist into the near term, supporting elevated prices and healthier margins for suppliers. When shortages meet multi-year contract commitments, companies that can scale capacity and secure production tend to lock in outsized benefits. That dynamic helps explain why some memory stocks have multiplied in value already this year.
On the compute side, inference demand has reenergized legacy CPU and ASIC makers as data centers balance cost and performance. Intel, for one, has leveraged a turnaround plan to expand its presence in AI data centers, deploying server CPUs for inference and accelerating bespoke AI processors. Its ASIC business has seen meaningful revenue acceleration, suggesting these chips can be a sustainable revenue pillar.
Intel’s data center AI segment recently reported solid year-over-year growth and has moved toward a sizable revenue run rate in specialized processors. That combination of better production, stronger demand, and expanding product variety explains why sentiment around the company has improved. Investors should watch capacity expansions and product mix as signals for whether the momentum can hold.
“Will AI create the world’s first trillionaire?” is the provocative question many are asking as winners emerge from this hardware shift, and it captures the scale of the opportunity. For anyone tracking stocks tied to AI chips, the paths to outsized returns run through memory capacity, long-term supply deals, and inference-efficient processors. *Stock Advisor returns as of May 8, 2026.*
