Artificial intelligence is entering a new phase of maturity. What began as isolated models, copilots, and experimental pilots is rapidly evolving into autonomous, coordinated AI systems embedded directly into how enterprises think, decide, and operate. In this next phase, competitive advantage is no longer defined by who adopts AI first, but by who can transform AI into a core system capability across digital and physical operations.
At the center of this shift is the rise of agentic AI and multi-agent systems. Unlike traditional AI that predicts or assists, agentic systems are goal-driven, capable of planning, collaborating, and acting across multiple functions with minimal human intervention. When combined with Physical AI that connects intelligence to machines, sensors, and real-world environments, and industry-specific vertical AI models that embed deep domain context, enterprises gain the ability to move from fragmented automation to truly intelligent operations.