In a 1983 keynote speech at the International Design Conference in Aspen (IDCA), Steve Jobs shared a visionary idea about the future — imagining that in 50 years, humans would create a “new kind of tool” capable of simulating thought and perspective, allowing us to interact with and learn from extraordinary minds.

More than 40 years later, that prediction has become a reality — and has even been surpassed — with the explosion of Generative AI (Gen AI) in 2024.

According to the latest projections from McKinsey, 2025 will be the year when AI Agents truly revolutionize the way businesses operate: accelerating technological modernization by 40–50% and cutting operational costs by up to 40%.

AI Agents are AI systems capable of observing, analyzing, and acting to perform tasks on behalf of humans or other systems.

AI Agents consist of two main components:

●    Large Language Models (LLMs): Enable AI Agents to process language, understand, and reason.

●    Large Action Models (LAMs): Capable of performing specific actions without human intervention.

AI Agents could bring the following benefits:

●    Task Automation: AI Agents can handle complex tasks that previously required human involvement, enabling faster execution and cost savings.

●    Superior Performance: Multi-agent AI systems help AI learn and respond more intelligently by combining data from various sources.

●    Enhanced Response Quality: AI Agents provide accurate, comprehensive, and personalized feedback, offering a better user experience.

●    Autonomous Action: AI Agents impress with their ability to self-learn, make decisions, adapt in real-time, and continuously optimize processes — all without human intervention.

AI Agents are not just tools — they are game-changers in the AI landscape. While Gen AI, the dominant AI trend of 2024, focused primarily on generating content based on training data, AI Agents make a powerful impression with their ability to reason, learn, and act independently.