Berlin Buzzwords 2026 - Charlie Hull on role of Search in AI era

Search technology is undergoing a fundamental transformation as AI agents replace traditional user-driven keyword queries with complex, multi-step search loops. Despite the hype surrounding large language models, core search expertise remains essential for maintaining system reliability, explainability, and performance. Many organizations struggle with this transition, often implementing AI solutions without clear use cases or proper evaluation, leading to inflated operational costs and technical debt. While AI tools offer significant advancements in query understanding and recall, they struggle with basic tasks like typo correction and lack the transparency of traditional inverted indexes. Addressing these challenges requires a rigorous focus on process, measurement, and community-driven knowledge sharing. Furthermore, the industry must prioritize accessibility and international language support to prevent the marginalization of non-English speaking populations, ensuring that search technology serves a global user base rather than just the affluent West.