Searching for Mana with Lloyd Wahed
Oct 21, 2025 · 1 hr 11 min · 14 segments
In this episode of Searching for Mana, host Lloyd Wahed sits down with Maja Vujinovic, CEO & Co-Founder of FG Nexus. Maja shares her remarkable journey from being a refugee in childhood to becoming a…
Maja VujinovicGuest
Lloyd WahedHost
Some people seem to be, you know, over a career, remarkable at looking around the corner and making good predictions.

scenario you have there is just literally come back or not scenario the the um potential that you were discussing there we've had two mega trends in just called it the blockchain uh and the different cycles and then likewise worked through all the different incarnations you know data analytics machine learning um data science decision science the cloud and then you know ai finally um has you know what i would imagine may well be and it's always easy to say in the five years where the biggest thing is biggest thing but you know the biggest impact on everything for the next 20 years let's just say that that's looking relatively obvious now you're starting to see and it's not anymore because it's like crypto's dead so can crypto suddenly ai itself it's like okay it feels like digital assets blockchain is here with user case um you know ai is absolutely wild every single company's going to become an ai company or die And then back to your thesis.

Do you now and how would you predict those two things come together? Because it's not inevitable.

What would you see the user cases being? I'd love to hear you talk about that and the timing around it and what we might see.

You know, I wrote an article back in 16 or 17 or something where everybody was saying, oh, blockchain is taking over the world.

I don't think so, right? If you're really rooted in some reality and you understand how large organizations operate, you understand how human beings operate, what's in the interest of a human being, right? And the interest of a human being is still primal.

It's our jobs, right? You start to understand it's going to take much longer for that to impact us.

If people question that, they should just go read some things with Siemens and GEs of the world.

Those are things that have been kind of working in the last five years at scale.

And that's mostly on industrials because because industrials have been working at machine learning, as you know, for a long time.

Some people seem to be, you know, over a career, remarkable at looking around the corner and making good predictions.

scenario you have there is just literally come back or not scenario the the um potential that you were discussing there we've had two mega trends in just called it the blockchain uh and the different cycles and then likewise worked through all the different incarnations you know data analytics machine learning um data science decision science the cloud and then you know ai finally um has you know what i would imagine may well be and it's always easy to say in the five years where the biggest thing is biggest thing but you know the biggest impact on everything for the next 20 years let's just say that that's looking relatively obvious now you're starting to see and it's not anymore because it's like crypto's dead so can crypto suddenly ai itself it's like okay it feels like digital assets blockchain is here with user case um you know ai is absolutely wild every single company's going to become an ai company or die And then back to your thesis.

Do you now and how would you predict those two things come together? Because it's not inevitable.

What would you see the user cases being? I'd love to hear you talk about that and the timing around it and what we might see.

You know, I wrote an article back in 16 or 17 or something where everybody was saying, oh, blockchain is taking over the world.

I don't think so, right? If you're really rooted in some reality and you understand how large organizations operate, you understand how human beings operate, what's in the interest of a human being, right? And the interest of a human being is still primal.

It's our jobs, right? You start to understand it's going to take much longer for that to impact us.

If people question that, they should just go read some things with Siemens and GEs of the world.

Those are things that have been kind of working in the last five years at scale.

And that's mostly on industrials because because industrials have been working at machine learning, as you know, for a long time.
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