Block (XYZ) investor relations material

AI strategy and infrastructure development

• Focus on building agentic AI systems that leverage foundational LLMs to automate and execute tasks, initially for developers and now for the entire organization.

• Goose, an open-source agent harness, enables LLMs to take actions across various enterprise tools, enhancing productivity and operational efficiency.

• Builderbot, Moneybot, and Managerbot are specialized bots built on Goose, targeting internal automation, consumer finance, and business operations, respectively.

• Recent advances in foundation models (e.g., Opus 4.6, GPT-4o) have dramatically improved reliability, enabling parallel execution of sub-agents and more ambitious automation.

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

Cultural and organizational enablers

• A culture of encouraging frontier technology exploration and rapid prototyping has allowed early and effective adoption of agentic AI.

• Internal feedback loops, with thousands of employees using Goose, have accelerated iteration and improvement.

• Open source contributions and industry partnerships have expanded the impact and robustness of internal AI tools.

Impact on product development and customer experience

• AI-driven prototyping has made it possible for anyone in the organization to quickly build and iterate on new ideas, regardless of technical background.

• Builderbot automates internal workflows, reduces operational load, and accelerates incident response by integrating with Slack and remote workstations.

• Moneybot and Managerbot provide customers with AI-powered interfaces to manage finances and business operations, with a vision for proactive, generative experiences.

• The proactive intelligence layer aims to anticipate customer needs and take actions before being prompted, leveraging unique data and AI capabilities.