Hyperbolic Misunderstandings About AI

A common question circulating today is whether we are living through an AI bubble—especially as we see astronomical numbers tied to massive data-center buildouts.

  
While some companies may indeed be trading at overly frothy valuations, the broader narrative is the opposite: we are significantly underestimating the scale of infrastructure required to support society’s growing appetite for AI across both consumer and enterprise use cases. 
 
The demand curve is accelerating far faster than most projections account for.
 
Another persistent question is whether AI will take our jobs. 
 
The reality is more nuanced. 
 
Yes, some jobs will be displaced. 
 
Almost every job will be refactored. 
 
And entirely new industries—ones we can’t yet fully imagine—will emerge as AI becomes deeply embedded in economic and social systems. 
 
Transformation, not disappearance, is the defining feature of the AI era.
 
One debate that continues to surface is whether entry-level jobs will vanish as companies lean more heavily on AI and slow down early-career hiring. 

 
This is the misconception I find most troubling. 
 
Eliminating entry-level hiring is a fundamentally flawed strategy. 
 
New talent brings fresh thinking, unburdened by legacy assumptions or institutional inertia. 
 
Early-career professionals question the status quo, challenge long-held norms, and inject the curiosity and boldness that fuel innovation.
 
 
A company without new talent is a company starving itself of future leaders, diverse thinking, and the creative friction required to adapt. 
 
AI may automate tasks, but it cannot replace the spark of new ideas that keeps organisations relevant and competitive.
 
If anything, the AI age should push companies to hire smarter—not less—and to build teams where human creativity and machine intelligence amplify each other rather than compete.