Infrastructure-focused AI stocks like Micron, CoreWeave, and Astera Labs are signaling strong growth potential, with analysts projecting significant upside based on 2027 earnings and capacity expansion.
Micron Technology is benefiting from significant momentum, evidenced by its seventh consecutive EPS beat and fiscal Q3 revenue growth of 345.7% year-over-year. The company's strategic position is bolstered by 16 customer agreements representing $100 billion in minimum revenue, while FY27 EPS estimates have surged from $102.72 to $155.02 in just 90 days, supporting a $1,750 price target.
The estimate has climbed to $155.02.
CoreWeave is capitalizing on massive demand for GPU cloud infrastructure, evidenced by a $104 billion backlog and $25 billion in new commitments in early Q3. With adjusted EBITDA margins already at 59%, the company is well-positioned to reach a $175 bull case if it continues to demonstrate margin expansion and successful ramp economics for its Vera Rubin infrastructure.
The company reported a $104 billion backlog.
Nebius Group has seen explosive growth with 454% year-over-year revenue increases and a capacity auction clearing 15% above previous highs. The company's asset-light model and 5 GW contracted-power target provide a foundation for a $350 price target, provided these metrics translate into strong 2027 guidance.
The company is seeing high demand for its capacity, with the ability to sell its entire 2027 capacity under mid-term contracts.
Infrastructure-focused AI stocks, including Micron, CoreWeave, and Astera Labs, show significant upside potential as 2027 EPS estimates rise. Driven by massive backlogs and strategic customer agreements, these firms are positioning themselves beyond traditional mega-cap chipmakers to capture the next phase of the AI buildout.
While mega-cap chipmakers have dominated early AI investment, the next phase focuses on the essential infrastructure—GPU clouds, memory, connectivity silicon, and quantum computing—required to power and cool the expanding AI ecosystem.