Episode 7 of 40
Think of this.
You hire an intern who never sleeps.
They work all day.
All night.
Every single day.
No breaks. No holidays.
At first, this sounds like the perfect employee.
But then something unexpected happens.
Your monthly expenses start increasing.
Not slightly.
Significantly.
You try to figure out why.
Itโs not their salary.
Itโs not their workload.
Itโs everything required to keep them running.
The systems.
The machines.
The infrastructure behind them.
Now scale this idea.
Instead of one intern, imagine thousands of them working simultaneously โ reading documents, generating reports, answering queries, and processing data.
Every task requires computational power.
And computational power requires resources.
Electricity is the most visible part of this cost. But behind the scenes, there is much more:
- high-performance hardware
- data centers and cloud infrastructure
- networking systems
- continuous maintenance
This is the hidden reality of artificial intelligence.
In the world of AI, this challenge is known as Energy Consumption and Sustainability.
The more powerful the model, the more resources it typically consumes.
Which leads to an important trade-off.
More intelligence often means higher cost.
As a Director, this changes how you think about AI.
It is not just about what the system can do.
It is about whether it is efficient enough to justify the cost.
The goal is not to use the most powerful model for every task.
The goal is to use the right level of intelligence for the right problem.
Because in the real world, efficiency matters as much as capability.
๐ฌ End of Season 1 – Raising the Intern
Your intern now knows how to:
- learn from data
- recognize patterns
- connect ideas
- improve through feedback
- focus on what matters
But a new question emerges.
Now that you understand how your intern worksโฆ
How do you choose the right one?
๐ Coming Next
Season 2 – Hiring the Right Intern
We will explore:
- different types of AI models
- cost vs performance trade-offs
- how to choose the right AI for your needs
Directorโs Quick Brief
Key Concept
AI Energy Consumption and Sustainability
Simple Definition
AI systems require significant computational resources, which leads to high energy usage and operational costs.
Real-world Example
Running multiple high-performance systems continuously to process large volumes of data significantly increases operational expenses.
Playbook Progress
Season 1 – Raising the Intern
Episode 7 of 7