I’ve been working in the AI space for a while now, and I’m watching something that honestly frustrates me. A lot of people building AI right now are completely ignoring the elephant in the room. It’s not about computational power. It’s not about data volume. The real problem? AI memory. And almost nobody wants to talk about it.
I was at AIBC Eurasia in Dubai last week, and Jawad Vanar said something on stage that really hit me. He said 2026 needs to be the year we stop building AI that forgets everything the moment you close the tab.
Sitting there, I realized he’s absolutely right. We’ve all just… accepted this. We’ve normalized the fact that AI has amnesia. And that’s insane when you actually think about it.
Here’s what I mean from my own experience:
I was working with an AI tool on a project recently. I spent time explaining my entire workflow, my preferences, what I liked, what I didn’t like. The AI gave me solid suggestions. Good conversation.
Then I came back the next day. Blank slate. Zero memory. I had to start from scratch like we’d never talked before.
That’s not intelligence. That’s an expensive parrot with a 30-second attention span.
Now multiply that frustration across every enterprise use case—customer service, research, financial modeling, decision-making. Every time we have to restart, we’re losing context, making mistakes, wasting time and money. The AI industry keeps promising this revolutionary future, but nobody wants to address the fact that these systems can’t even remember what happened yesterday.
This is exactly the gap Vanar is targeting.
And I’m watching closely because they’re not just talking about it—they’re building differently from the ground up.
Vanar isn’t slapping a memory patch onto existing infrastructure. They’re building AI agents on their Layer 1 blockchain where memory is embedded at the protocol level. Not in some centralized database. Not as an afterthought. It’s native to how the chain operates and retains information over time.
When you stop and think about what that means practically, it changes everything:
∙ AI research assistants that remember your methodology across months of work
∙ DeFi agents that track your risk preferences and portfolio history without needing constant re-explanation
∙ DAO governance tools that learn from past voting patterns instead of treating every proposal in isolation
These aren’t hypotheticals. These are real use cases that become possible once you solve the memory problem everyone’s avoiding.
What caught my attention in Dubai wasn’t just the vision—it was the timing. The AIBC Eurasia Roadshow is happening in regions like the Middle East, Central Asia, and Southeast Asia. These markets aren’t waiting around. They’re moving fast, and they need blockchain infrastructure that can handle real AI applications, not just token trading.
Vanar is positioning itself as the memory layer for AI. That’s strategic. The next wave won’t come from marginally better chatbots. It’ll come from AI that actually gets smarter over time—that learns from every interaction and retains context.
The difference between an AI assistant and an AI partner is memory. That’s what Vanar is building toward.
From what I saw in Dubai, the teams that solve the memory problem are going to own the next decade of AI growth. Vanar isn’t waiting to see if someone else figures it out first. They’re building it now.
I’m keeping close tabs on this.