Agentic AI
Definition: AI systems that can take actions autonomously to achieve goals. They combine narrow AI capabilities (language, vision, planning, etc.) with autonomy and initiative.
Examples
An AI that books your flights and hotels automatically after reading your email. Research or coding “agents” that plan tasks, write code, run it, and evaluate results. Planning steps, using tools (like search or APIs), scheduling, or sending emails — sometimes even coordinating with other agents. Self-driving cars are agentic systems composed of many narrow AI components.
Timing
In use today. AI developers have indicated 2025 is the year of the AI agent. Companies are working with AI developers, consultants and internally to create agents to complete tasks. Governance, change-management, learning curves, and resistance are some obstacles to implementation.
Implications of Profit-Focused AI
Safe, Financial incentive to replace significant workers, most likely disruption when companies learn how to use and implement AI agents into their operations.
Implications of People-Centered AI
Safe, Augment workers, assist in creating jobs for all, still very profitable for developers and companies