The system architecture LLMs will need for AI 2.0

By Alan Jacobson, Systems Architect & Analyst

For the past two years, the industry fed on a fantasy: AI was exploding. Every investor deck, media headline, and VC podcast hyped an unstoppable wave of growth — exponential, transformative, inevitable.

They all pointed to the same kind of chart: the hockey stick. Even when the projections were modest, they still sloped steadily upward. Confidence was baked in:

But what actually happened?

Instead of a hockey stick – or even modest growth, we got a flatline:

From August to November 2025, real-world usage of AI tools like ChatGPT barely moved. Website traffic plateaued. App downloads stalled. This wasn’t an explosion. It was a stall.

Everyone had their eyes on the projection — not the reality.

I didn’t follow the hype. I went and pulled the real data.

That’s when I found the truth: adoption has stalled across the board. Not just OpenAI. All the major LLMs. Web and app. Flat.

So what happened?

The answer is simple, but structural:

No memory → The system forgets everything. Every time.
No trust → Users disengage. They can’t build relationships with amnesia machines.
No adoption → Flat usage.
No scale → No revenue.

What comes next? a reckoning.

And for those asking what’s after the flatline — see the diagram, above.

The architecture exists. The solutions are filed with USPTO. And they don’t just fix AI.

They rebuild trust.

Trust in the system. Trust in the user. And trust in the institutions we still depend on — including the press, which missed the signals about AI.

It’s an “Elegant Solution.”

More soon.