Investors
Bank of America has raised its price target for AMD from $620 to $720, while maintaining its Buy rating. The revised view places greater emphasis on the companyโs server CPU opportunity as artificial intelligence workloads become increasingly complex and data-intensive.
Analyst Vivek Arya argues that the development of agentic AI could expand demand across the broader computing architecture. AI agents require infrastructure capable of coordinating tasks, executing software, processing data and interacting with multiple applications. From Bank of Americaโs perspective, this increases the importance of CPUs alongside GPUs rather than making traditional server processors secondary to accelerated computing.
The bankโs revised thesis comes as large AI developers commit substantial capital to supporting infrastructure. Anthropicโs $11.6 billion, seven-year agreement with Akamai is particularly relevant to Bank of Americaโs analysis because the arrangement is designed to support significant CPU-based computing requirements.
For the bank, the agreement illustrates how AI expansion can create demand beyond specialized accelerators. As AI systems become more sophisticated, supporting workloads require additional processing capacity, cloud infrastructure and data-center resources. This provides a broader foundation for Bank of Americaโs assessment of AMDโs server business.
A central element of the revised analysis is Bank of Americaโs estimate that the server CPU total addressable market could grow from $61 billion in 2026 to $211 billion by 2030. The projection strengthens the potential importance of AMDโs EPYC server processor business within the bankโs valuation framework.
Bank of America has also increased its AMD earnings estimates, with the firmโs 2027 and 2028 projections rising by approximately 2% and 3%, respectively. The changes indicate that the bankโs higher target is being supported by adjustments to its operating assumptions, rather than solely by applying a higher valuation multiple.
The significance of Bank of Americaโs call is its interpretation of how AI infrastructure develops. The bankโs analysis increasingly treats CPUs and GPUs as complementary layers of the AI computing stack. That distinction broadens the potential opportunity for AMD beyond accelerator demand alone.
For sophisticated investors monitoring the semiconductor cycle, Bank of Americaโs revised AMD thesis provides a specific institutional signal: the next phase of AI infrastructure spending may depend increasingly on the supporting compute architecture required to operate increasingly autonomous AI workloads. The durability of that spending will remain important to AMDโs earnings trajectory and to the assumptions underpinning the bankโs $720 target.
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