AMD Releases Latest Growth Guidance: AI Becomes Core Engine
American chip manufacturer Advanced Micro Devices (AMD) unveiled its latest mid-term growth targets at the Financial Analyst Day in New York. CEO Lisa Su stated that driven by the rapid expansion in AI chip demand, the company expects revenue to grow at an average annual compound rate of 35% over the next three to five years.
This marks one of the most ambitious growth cycles in AMD's history and reflects its determination to compete with NVIDIA in the AI infrastructure market.
Lisa Su highlighted that the data center AI business will be the main driver of AMD's future growth, with an expected annual growth rate of 80%, potentially achieving billions of dollars in revenue by 2027. She emphasized, "AI has become our most strategic growth engine and will reshape the entire semiconductor ecosystem over the next five years."
AI Data Center Market Size Expected to Double
At the conference, AMD revised its global AI data center market size estimate from the previous $500 billion to $1 trillion by 2030. Su noted that this growth expectation is based on the simultaneous expansion of AI training and inference demands, especially with the widespread application of large language models, generative AI, and government high-performance computing.
AMD believes that as AI computing power demands continue to surge, customers are shifting from purchasing individual GPUs to deploying entire rack systems. The company showcased the new MI450 GPU and Helios rack system, targeting hyperscale cloud providers, AI-native enterprises, and government laboratories.
Additionally, AMD revealed it has signed a GPU supply agreement totaling 6 gigawatts with OpenAI and received an additional order of 50,000 AI chips from Oracle. These strategic partnerships are seen as key steps for AMD to rapidly break through the barriers of the AI ecosystem.
Goal: Penetrate NVIDIA's "Moat"
Currently, NVIDIA holds a commanding 80% to 94% market share in the AI chip market, nearly monopolizing the industry. Lisa Su clearly stated that AMD aims to achieve a "double-digit market share" within three years, breaking through with cost-effectiveness and scalable architectures.
She noted that AMD's MI series chips, with their open ecosystems and more flexible system integration capabilities, are gaining favor from enterprise customers and cloud service providers. "Our competitive advantage lies not in scale, but in diverse system solutions."
Industry analysts believe AMD is attempting to replicate its rise in the server CPU space, gradually weakening NVIDIA's dominance in the high-end AI training market through technological iteration and ecosystem collaboration.
Financial and Market Structure Optimization Simultaneously
AMD CFO Jean Hu added that the company expects future non-GAAP earnings per share to exceed $20 over the next three to five years. Meanwhile, the data center business's compound annual growth rate is likely to maintain around 60%.
Hu also revealed that AMD plans to further optimize its product portfolio, increasing server CPU revenue share from the current 40% to over 50%; meanwhile, PC market share will rise from 20% to 40% to strengthen the overall profit structure.
"In the future, our growth will more come from AI and high-performance computing, rather than solely relying on the traditional PC market," Hu stated.
Market Response and Future Outlook
Analysts generally believe AMD's actions not only demonstrate strong confidence in the AI industry's prospects but also send a signal of challenging the market structure. Both Goldman Sachs and Morgan Stanley stated in reports that AMD's new growth cycle could become the "second stage of AI hardware competition" — shifting from GPU supply to a competition of system-level integration capabilities.
However, the market also warned that challenges remain severe for AMD, including high-end chip production yield rates, AI ecosystem compatibility, and technological pressure from NVIDIA's Hopper and Blackwell architectures.
The "Secondary Protagonist" in the AI Era
AMD is striving to transform from an "AI supporting role" to an industry leader. As data center expansion and AI chip demand continue to grow, the company may enter a period of rapid development in the next three to five years.
In her concluding remarks, Lisa Su stated, "Over the next decade, AI will not only transform our products but also reshape our business logic. AMD is ready for this profound industrial change."
