Block (XYZ) investor relations material

AI strategy and infrastructure evolution

• Shifted focus to applied AI, building agentic systems that leverage foundational LLMs for real-world tasks, notably through the open-source Goose agent harness.

• Goose enables automation for both developers and non-technical staff, integrating with enterprise tools and supporting a wide range of operational tasks.

• Builderbot, Moneybot, and Managerbot are specialized AI agents for internal productivity, consumer finance, and business operations, respectively.

• Recent advances in foundation models (e.g., Opus 4.6, GPT-4o) have dramatically improved reliability, enabling parallel agent orchestration and higher-level automation.

• Open sourcing Goose and collaborating with industry leaders (OpenAI, Anthropic) has positioned the organization at the forefront of agentic AI development.

Impact on product development and operations

• AI-driven prototyping has accelerated product cycles, allowing rapid iteration and broader participation across job roles.

• Quality assurance now leverages code review agents and automated testing, though human oversight remains crucial for reliability.

• Builderbot automates internal workflows, incident management, and operational support, reducing manual workload and improving response times.

• Remote workstations and Slack integration enable scalable, asynchronous agent-driven work, further enhancing productivity.

Customer-facing AI applications and future vision

• Moneybot (in Cash App) and Managerbot (for sellers) automate financial and business operations, providing intuitive, conversational interfaces.

• Proactive intelligence is a key focus, aiming to anticipate customer needs and take action before being prompted.

• Long-term vision includes generative experiences where customers can request custom solutions on demand, enabled by agentic infrastructure.

• Unique data assets and a culture of technological experimentation are seen as competitive advantages in executing this vision.