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Table of Contents Our Approach to Compute. We manage compute as a single, fungible pool from multiple strategic partners, and we dynamically direct available compute between workloads based on where the marginal unit is expected to be most productive at any given time. We believe that this approach to compute enables us to deliver superior models, serve more customers, and achieve greater productivity from our compute investment. This compute efficiency creates the foundation for us to advance the frontier of AI capabilities through research and model development, meet growing demand from customers, and provide for internal usage of Claude. We have achieved this through our research breakthroughs and our multi-chip compute architecture across AWS Trainium, Google TPUs, NVIDIA GPUs, and AMD GPUs, enabling us to orchestrate workloads to optimize for price and performance. To support our research, model development, customer demand, and internal usage of Claude, we continue to invest at scale. As of and subsequent to September 30, 2026, we have entered into purchase commitments and lease agreements, including short-term commitments, as well as leases not yet commenced, with an aggregate committed spend of more than $ , substantially all of which is related to compute and infrastructure. These commitments include approximately $ expected to be incurred before December 31, 2030, and substantially all of the remainder is expected to be incurred between 2031 and 2045. Approximately $ of these commitments are due in the next 12 months. See the section titled “Management’s Discussion and Analysis of Financial Condition and Results of Operations—Liquidity and Capital Resources—Contractual Obligations” for more information. Enterprise Strategy. Our enterprise strategy is built on the belief that frontier AI is most valuable in real-world settings, as deployment across enterprises is where economic impact is greatest and where the improvement loops from customer feedback are richest. Accordingly, we have organized our research priorities, our product roadmap, and our go-to-market and Applied AI teams around enterprise use cases, which range from routine knowledge work to the most complex problems. The customer feedback we gather directs our research focus and makes Claude more capable over time. This broadens where Claude can be deployed and further expands enterprise adoption, which helps ensure that the benefits of our AI reach people and organizations at scale. AI is Transforming Intelligence We believe that Powerful AI, a highly capable and impactful form of frontier AI characterized by the following key attributes, will become widely available within a few years: • • • • • cognitive capabilities matching or exceeding those of top human experts across most professional and scientific disciplines; the ability to navigate all interfaces available to a human working virtually, including text, audio, video, and direct computer control; the ability to reason through complex tasks autonomously over extended periods—lasting hours, days, or weeks—and seek clarification and feedback when needed; the ability to coordinate across multiple instances and collaborate with both humans and other AI systems; and the ability to interface with the physical world by digitally controlling laboratory equipment, robotic systems, and other machines through digital connections. If Powerful AI is directed at solving humanity’s hardest problems and the risks are managed responsibly, the potential is extraordinary. The possibilities include compressing decades of scientific progress into years; accelerating drug discovery, disease detection, and the delivery of personalized therapy; providing individually tailored education and expert financial and legal advice; advancing power grids and battery design for greater efficiency and reliability; and extending to the developing world capabilities that took wealthy nations generations to build. A Near-Term Opportunity to Transform Cognitive Work Frontier AI is transforming cognitive work—the application of knowledge, reasoning, and judgment to produce economic value. We believe it will make humans far more capable and expand the world’s overall capacity for that work, including accelerating scientific discovery and helping businesses grow. Knowledge workers are the leading edge of this opportunity. As frontier AI advances, more capable models can unlock entirely new use 6
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