Elad Gil on the future of AI

AI technology adoption follows a decade-long trajectory, hindered less by technical limitations than by the complexities of organizational change management. Enterprises integrate AI through software augmentation, specialized internal tooling, or direct product enhancements. While proprietary data provides utility, it rarely serves as a standalone competitive moat unless it is difficult to reproduce. The market is shifting from seat-based software pricing to outcome-based models, where businesses purchase specific units of cognition. This transition enables "AI-driven roll-ups," allowing companies to transform labor-intensive services into high-margin software businesses. Angel investor Elad Gil notes that future breakthroughs will extend beyond language models into physics, material science, and autonomous systems, ultimately democratizing access to high-level expertise in fields like medicine and law.