Turing is pioneering a shift from traditional AI training to reinforcement learning-based agents that operate in simulated real-world environments, enabling automation of complex workflows. The company emphasizes data-driven feedback loops as the new competitive moat, surpassing raw technology. Enterprises struggle with outdated infrastructure and unstructured data, slowing AI adoption, while startups and front-office functions lead in integration. With AI models now matching or exceeding human performance in many cognitive tasks, up to 99% of knowledge work could be automated within a decade, drastically increasing individual productivity. This evolution threatens traditional SaaS models, as custom AI built on foundation models reduces reliance on packaged software. Meanwhile, smartphones are poised to become primary AI interfaces, acting as cognitive extensions. Despite challenges, long-term trends favor research-driven companies leveraging proprietary data, with breakthroughs expected in areas like drug discovery and self-improving AI systems.