Robinhood has moved from being primarily a fintech trading app to positioning itself as an AI‑first financial innovator by building most of its new capabilities with agentic AI on Amazon Bedrock. In practice, this means: - **Core experiences are AI-driven:** Virtually everything new they build now uses AI agents running on Bedrock, rather than traditional rule-based systems. - **Bedrock as the AI foundation:** They rely on Amazon Bedrock for access to a range of foundation models, along with the security, compliance, and governance features needed in a regulated financial environment. - **Focus on financial use cases:** By using Bedrock, Robinhood can design AI that supports personalized financial experiences while staying aligned with industry requirements around data protection and oversight. This shift lets Robinhood reimagine how customers interact with financial services, while still operating within the constraints of a highly regulated sector.

Robinhood reports several concrete outcomes from standardizing on Amazon Bedrock for its AI workloads: - **Scale:** Daily token usage grew from **500 million to 5 billion tokens** in about **six months**, a **10x increase** in scale. - **Cost efficiency:** Despite that growth, Robinhood was able to **cut AI costs by 80%**, making large-scale AI more financially sustainable. - **Faster delivery:** Development time for AI features was reduced by **about 50%**, allowing teams to ship and iterate on AI-driven experiences more quickly. These results suggest that Bedrock is helping Robinhood handle much larger AI workloads while keeping costs in check and speeding up how fast new AI capabilities reach customers.

Robinhood selected Amazon Bedrock, and particularly Amazon Nova, because they align with both the innovation and compliance needs of a financial services company. Key reasons include: - **Model choice and flexibility:** Bedrock offers a **diverse selection of models**, so Robinhood can choose the right model for each use case instead of forcing everything into a single option. - **Security and compliance:** Bedrock is designed with **security, compliance, and governance** features that matter in a regulated sector like finance, helping Robinhood protect sensitive data and meet regulatory expectations. - **Price-to-performance balance:** According to Dev Tagare, Robinhood’s Head of AI, Bedrock provides a strong **price-to-performance** profile, which is important when you’re running at the scale of **billions of tokens per day**. - **Amazon Nova’s capabilities:** Amazon Nova has been especially impactful because of its **multimodal capabilities** (working with different types of inputs, such as text and other data) and **fine-tuning options**, which let Robinhood build more specialized, domain-aware models for financial use cases. Together, these factors help Robinhood reshape how it delivers AI-powered financial services while maintaining the security and compliance posture expected in the industry.