AMD Soars on Blockbuster AI-Fueled Forecast

2026-05-06 · Source: Bloomberg Tech · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Cloud Computing & IT Infrastructure, Robotics & Autonomous Systems · Depth: Intermediate, extended

Summary

Bloomberg Tech reports on significant market movements driven by strong earnings and AI advancements across major tech companies. AMD's shares surged 15% on a blockbuster forecast, particularly for its CPU business, with projections of 70% growth in the current quarter, affirming a strong total addressable market. Nvidia also saw a 4% increase after inking a $500 million deal with Corning for optical fibers, aiming to mitigate AI data center bottlenecks. Disney posted stronger-than-expected results, with shares climbing 7% due to improved streaming profitability and increased guest spending at parks, despite a slight decrease in US park attendance. Uber's Q2 outlook beat expectations, with an 8.4% rise in shares, driven by new product introductions, a 10x scaling of its autonomous vehicles business, and disciplined cost management, alongside a growing B2B segment. Microsoft is considering delaying or abandoning clean energy targets due to the energy demands of the AI race, while OpenAI expects to spend $50 billion on computing power this year. Apple plans to allow users to choose external AI models like Google's Gemini or Anthropic's Claude on iOS 27, aiming to turn its devices into a comprehensive AI platform.

Key takeaway

For CTOs and AI Architects evaluating infrastructure investments, recognize that the AI race is broadening beyond GPUs to include significant CPU demand, driven by agentic AI and inference workloads. Consider diversifying your chip strategy to include robust CPU solutions and assess the long-term implications of AI's energy consumption on your sustainability goals. Nvidia's investment in optical fiber highlights the critical need to secure the entire AI supply chain, not just compute, to avoid bottlenecks.

Key insights

AI demand is driving significant growth and strategic shifts across semiconductor, cloud, and consumer tech sectors.

Principles

• Vertical integration is crucial for new technology development and supply chain control.
• Competition in AI chips is intensifying beyond traditional GPU dominance.
• AI's energy demands challenge corporate sustainability commitments.

Method

Companies are addressing AI infrastructure bottlenecks by investing in supply chain components like optical fiber and leveraging balance sheet strength to secure critical resources for future growth.

In practice

• Monitor CPU growth in AI workloads, as agentic AI shifts the CPU-to-GPU ratio.
• Evaluate AI model optionality in platforms like iOS 27 for broader AI service integration.

Topics

• AI Infrastructure
• Semiconductor Market
• CPU-GPU Ratio
• Autonomous Vehicles
• Vertical Integration

Best for: CTO, VP of Engineering/Data, AI Architect, Investor, Executive, Director of AI/ML

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Editorial summary, takeaway, and curation by AIssential. Original article published by Bloomberg Tech.