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Why AI’s Growth Will Hit A Wall Very Very Soon
And how this shifted my view on tech progress in the last half-year.
I used to think AI was unstoppable. (Just like Sam Altman.)
I remember reading about AI solving protein folding and thinking, ‘This is unstoppable.’ But six months later, the conversation shifted to energy costs and scaling problems.
It felt like this technology had no upper limit. But then I started looking deeper. I realized that even the biggest machines can grind to a halt without the right fuel.
Over the past half-year, I’ve become convinced that AI will reach a plateau if it doesn’t solve a few core problems.
- Data.
- Energy.
- Scale.
These are the pillars of AI’s future, and each one has cracks. Let’s break down why I think these cracks matter and what might happen if we don’t patch them.
I’m not a pessimist by nature.
But I can’t help but wonder if Sam Altman ever has sleepless nights about this.
I believe that knowing the limits of a thing is the best way to make it better. Here’s where I see the breaking points and why they’ve changed how I view tech progress.
