Agentic AI - The Current vs The Future

Everyone’s talking about Agentic AI. But here’s the question we’re not asking enough:

💬 Are we building systems that reflect how humans actually think and decide—or just automating the visible surface of work?

Too many current solutions wrap legacy workflows in smart prompts and call it intelligence. What’s missing is the core of human agency:

🧩 Abstraction – the ability to create new patterns in real time
🤝 Tacit knowledge – the intuition built from stress, repetition, and accountability
🧠 Reasoning – the moral and contextual judgment that defines meaningful decisions

These aren’t just technical capabilities. They’re what separate mimics from minds—systems that execute from those that truly understand.

Here’s the uncomfortable truth: much of today’s agentic AI is theatre. Fast, impressive, but shallow. We’re building tools that perform—but can’t reflect. Automating tasks—without elevating thinking.

📚 In his new book Superagency, Reid Hoffman puts it best:
“AI doesn’t replace agency—it expands it.”

It’s a powerful reminder that the future of AI isn't about substitution—it’s about amplification.

But amplification requires more than prompts and APIs. It demands systems that mirror how we think—not just what we do.

Exploring this further, what that shift requires—and why abstraction, tacit knowledge, and reasoning must sit at the center.

Are we designing for scale? Or are we building for intelligence that mirrors the richness of human agency?

#AgenticAI #AI #HumanAgency #ProcessIntelligence