Fivetran's CPO: closed data stacks won't survive the agent era

AI integration demands a fundamental shift toward open data infrastructure to accommodate the exponential growth in query volume and agentic workflows. As AI models evolve rapidly, closed ecosystems fail to provide the necessary flexibility, leading to inefficient cost structures and limited scalability. Organizations must prioritize centralized data foundations and coherent semantic strategies to ensure AI agents operate on reliable, secure information. While the rise of AI enables on-demand, disposable dashboards and increased productivity, it also introduces risks of duplicate work and model hallucinations. Consequently, enterprises should focus on human-led coaching and robust governance frameworks to manage this transition, ensuring that data stacks remain adaptable to future analytical engines. This approach balances the rapid pace of innovation with the practical requirements of enterprise-grade security and operational efficiency, ultimately unlocking new economic opportunities that were previously impossible.