Robinhood Uses AI to Accelerate Product Development While Maintaining Unified User Experience
Robinhood's engineering teams are shipping code faster by integrating AI into their development workflows, according to Johann Kerbrat, the company's senior vice president and general manager of crypto and international. Engineers now use AI not just to write code but to review it, with more code being shipped directly by AI systems.
The acceleration matters because it changes what teams can build. Kerbrat noted that tools developers could only prototype in a weekend a year ago now ship in production. The pace of AI advancement is directly compressing product development timelines.
Organizing Like Multiple Startups
Robinhood operates each product line as a semi-independent startup within the larger company. This structure encourages rapid iteration and creative problem-solving across different teams.
The tradeoff: maintaining a unified user interface and experience across all these separate efforts. Kerbrat said the company deliberately designs products so customers don't feel like they're jumping between different apps, even though the internal teams operate with startup-level autonomy.
AI Powers Both Internal and Customer-Facing Features
Robinhood deploys AI in two directions. Internally, it speeds up engineering work. Externally, it improves what customers see.
The company generates AI-powered digests for stocks and crypto holdings that update in near real-time. These features reduce the work customers need to do to stay informed about their positions.
New Trading Products Reshape How Investors Hedge
Robinhood expanded its prediction markets beyond speculation into hedging tools. Contracts on AI investments appeal to investors because they offer simpler mechanics than traditional stock picking-fewer outcomes to evaluate, clearer decision points.
After-hours trading access matters here too. It lets retail investors react to news outside standard market hours, which is particularly valuable when global events occur during US nights or weekends.
Building Infrastructure for Tokenized Assets
Robinhood is building a Layer 2 blockchain solution specifically designed for real-world assets like US stocks and ETFs. The company wanted Ethereum's decentralization and security paired with the liquidity available across the broader EVM ecosystem, so it built its own Layer 2 rather than using an existing one.
This infrastructure addresses a practical problem: making tokenized stocks and ETFs accessible and settling transactions efficiently for international users.
Competition Reduces Fees, Drives Product Innovation
More competitors in crypto means lower fees and faster feature development, Kerbrat said. The dynamic pushes companies to improve offerings to retain customers.
Bitcoin itself has remained relatively stable over the past year despite market fluctuations, suggesting the asset class is maturing as investors view it as a reliable store of value rather than a speculative bet.
For product teams at financial platforms, the lesson is clear: AI is no longer optional infrastructure. It's becoming the standard way engineering works, which means teams that don't integrate it into their workflows will fall behind on shipping speed.
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