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Agentic Artificial Intelligence
Thomas H. Davenport, Jochen Wirtz & Pascal Bornet
Generative AI thinks — but agentic AI acts. This microbook breaks down how autonomous digital workers sense, plan, and execute real business tasks, why most corporate rollouts end in a graveyard of broken bots, and which distinctly human skills remain irreplaceable when machines start outperforming us on logic itself.
Listen to the intro
Who it is for
For anyone who senses that AI is about to reshape their work and wants to understand what that actually means in practice — and how to stay ahead of it rather than be replaced by it.
Lessons
- Understand why giving AI agents access to more tools actually makes them less reliable, not more.
- Discover how the three layers of agentic memory — short-term context, long-term storage, and feedback loops — allow AI to finally learn from experience.
- Develop the human skills that autonomous agents cannot replicate: genuine creativity, ethical judgment, and social authenticity.
Key Takeaways
- Agentic AI doesn't just answer questions — it logs into systems, makes decisions, and completes end-to-end tasks autonomously while you sleep.
- Most AI transformations fail not because the technology breaks down, but because employees resist and processes were never redesigned before automation was layered on top.
- The humans who thrive alongside autonomous agents will be those who orchestrate, judge, and connect — not those who execute faster.
More knowledge in less time
Listen to the key ideas
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