What if the future of AI becomes too expensive to sustain?

What if the future of AI becomes too expensive to sustain?
Not because models are costly.

But because intelligence itself becomes something we consume continuously.

We are moving toward a world where AI systems won’t just answer questions.
They will quietly prepare for meetings, coordinate schedules, negotiate prices, summarize research, monitor health patterns, optimize spending, and make decisions in the background.

And many of these systems won’t work alone.
They will reason.
Retrieve memory.
Call tools.
Collaborate with other agents.
Quietly operating throughout the day.

Now multiply this by millions of people.
And perhaps hundreds of agents per person.

This is where a hidden economy begins to emerge.
Tokens.
Often treated as a technical metric.

But perhaps better understood as the currency of intelligence.
Because every token represents computation.

And computation carries consequences:
💸 Rising operational costs
Which increases…
⚡ Energy consumption
Which requires more…
💧 Water for cooling infrastructure
Leading to growing…
🌍 Carbon emissions
And when systems reason unnecessarily, carry oversized context, or overuse tools…
♻️ Waste multiplies.
As Agentic AI scales, the question may no longer be:

How intelligent can AI become?
But:
How intelligently should intelligence operate?

The latest episode of Agentic AI — The Future of Intelligent Systems explores the hidden economy powering Agentic AI — from personal agents and token demand to cost, energy, water, carbon, and the future of efficient intelligence.

🎧 Listen here:
https://lnkd.in/dHJTjYeG