Bilal Khan
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5 of the Most Damaging Myths on Agentic AI

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Bilal Khan

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October 30, 2025

When Agentic AI first entered boardrooms,
Most assumed the hardest part would be technical.

It wasn’t.

It was strategic.

Every AI decision now comes wrapped in pressure:

Investors watching, competitors experimenting, teams waiting for direction.

That’s where comfortable narratives start taking over.

Familiar stories that reassure in the short term,
and quietly delay long-term progress.

Across dozens of boardrooms, I’ve seen the same strategic blind spots keep resurfacing.

So I pulled them together - the five I see doing the most damage,

And how to turn each into strategic momentum.

👉 Swipe through to see which myth is quietly steering your AI strategy off course - and what to do instead.

5 of the Most Damaging Myths on Agentic AI5 of the Most Damaging Myths on Agentic AI5 of the Most Damaging Myths on Agentic AI5 of the Most Damaging Myths on Agentic AI5 of the Most Damaging Myths on Agentic AI5 of the Most Damaging Myths on Agentic AI5 of the Most Damaging Myths on Agentic AI5 of the Most Damaging Myths on Agentic AI5 of the Most Damaging Myths on Agentic AI5 of the Most Damaging Myths on Agentic AI5 of the Most Damaging Myths on Agentic AI5 of the Most Damaging Myths on Agentic AI5 of the Most Damaging Myths on Agentic AI5 of the Most Damaging Myths on Agentic AI5 of the Most Damaging Myths on Agentic AI5 of the Most Damaging Myths on Agentic AI5 of the Most Damaging Myths on Agentic AI

If you’re re-thinking how AI and automation intersect, Galileo’s guide on AI agents is a sharp, grounded place to start.
👉 Find it here

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