So my question is, what leadership lessons stand out for you the most regarding your experiences while working with all these companies.

My experience in corporate America was, it was amazing and I loved it because I got to work with some of the smartest, brightest, most creative people on the planet.

I felt very fortunate that I was working with top tier people from all walks of life and frankly from every nation.

And that was a unequivocal blessing.

What I came out of it, though, was I lost a sense of my naivete, my innocence, in learning just how powerful executive and business greed and power can go.

How easy it was for a corporation to deceive the public, to deceive the government, to even deceive employees.

I saw how power was used when it was unchallenged.

How did you transition into writing triggers?

How do you see that actually having the choice and in terms of moving towards compassion for humanity? Do you see that?

I see that as one of the major risks, and I pointed out in the book, both on a political basis, but also on an economic basis and a social basis.

The political risks are evident.

I am not a fan with how it's being done right now.

I believe that Congress had an opportunity two years ago when some of the major AI leaders went before them and asked for regulation.

They certainly wouldn't have gotten it all right, but they could have started it.

Instead, it's been a political football between administrations, and the current administration is sort of deciding what to do on a whim, which is the most destructive of all models because it creates uncertainty.

Why is that? Why is it not for businesses? Why is it not for governments? Why? Help us understand from do you really think that humanity needs this guide from that sort of thing? And are businesses part of this humanity or their humanity is different?

So the human cost of, of people being displaced out of their jobs and being replaced by AI, where do those, where, where will those people go? I mean, if they have a certain set of skills, and they've, you know, they have an education, they have experience for a certain area, and they're displaced, I mean, I, I guess where, where are these people gonna go? What-- How big will that cost be over the course of years?

Great question.

When, when AI first kinda hit the market, um, there were several infamous studies, one by, um, uh, the Trilateral Commission, the International Monetary Fund, Goldman Sachs, PricewaterhouseCoopers, and, uh, and s- and others, and they were all predicting a potential job displacement in the three to 500 billion, uh, or three to $500 million range, which is basically half a billion, um, job displacements.

Um, now, that level of displacement is so disruptive because these aren't low-level people, fringe jobs.

These are core middle-class, um, incomes, which means that you start to, um, essentially erode the f- the, the foundation for the, for the tax basis for many nations.

Now, there's a lot of uproar about those estimates, and so people were wor- worried about AI.

Do we have to have universal basic income? What are we gonna do? People, there's gonna be mass unemployment.

And the people who, uh, uh, you know, kind of evolved with it, um, you know, they, they were able to, to keep their jobs or to evolve with the, with the time Is that similar to this? Is this just another thing of something is gonna replace, it's an evolution, or is this something that is much more serious and, and troublesome than that?

So how exactly or what steps did you take? How did that person who learned to survive at 13 become the person sitting in the rooms where a lot of hard decisions are being made?

Well, it started being super good at my job and super innovative.

One of the things that kicked it off was I was at a big oil company.

And this was back in the late 70s, early 80s.

And at the time...

There was not a single computer on any desktop in any company in America, practically, except for a few of the computer companies.

Personal computers really weren't a thing then.

been building these things

... same as if not more than all of that.

Yeah.

I, and, and I've, I've recently written a book about that.

So during my career, because I'd started off in economics and building with, working with mainframes and working with these complex algorithms and, and, and through my career, I worked on various stages of- ... m- multiple stages of technical innovation.

I was actually a, a driver of those things in my, my career, throughout my career, and worked on various stages of the building blocks that would ultimately become AI.

And so I've been watching this, this beast materialize for decades.

And it was, um, even in the early '90s, I was working with s- um, speech recognition software and voice recognition software, training my computer to use voices.

So talking about your books as my last question is why do your books poke the bear of politics and religion?

Oh, my

goodness.

I got a lot.

That one cost me.

She said, listen, I married you yesterday.

If I have to bury you tomorrow, you're dead.

So I was a diver.

Is the process the same for each book or does your writing process change from book to book?

What opportunities do you think young people should be paying attention to right now?

Well, I have a book coming out at the end of the month called The AI Tsunami, A Survival Guide for Humanity.

And the book is targeted towards regular people and small businesses.

And it has plain English, easy to understand, to help you understand the 70 year history of us developing the core technologies behind AI.

You know, the various pieces of it that already work today and that you already use.

And then we're I'm pretty blunt about the the good, the bad and the existential ugly of the technology and not just the technology.

How do we what's the danger of that technology today? within corrupt political systems.

So what inspired this AI journey?

[laughs] Go ahead, Guy

... what we've learned, um, so i- if an AI were designed, trained, got the data, was basically modified to do it, yes, AIs can predict the future, and that's how they start it.

Matter of fact, the model I built way back in the, uh, 1980s was an economic prediction model.

And so AIs are much better at doing it.

They can...

And the, the data's vaster.

But what we've learned is that, uh, they're much better the more narrow you get in terms of the question, thing you want them to predict.

[laughs] Go ahead, Guy

Have we reached singularity? Define it, and then explain to me and the audience exactly what we're talking about here, because then computers seem to be what? Much more capable than the human mind? That's bizarre.

Uh, I don't think we've reached it yet.

But, um, and how I would define singularity, and, and believe me, I've read 18 different definitions of singularity, and it changes over the years.

It used to be when a single machine was smarter than all humans combined, right? We ha- we're certainly not there yet.

Um, uh, s- some of...

Some people think it's a machine that is independent, um, s- recursive self-improvement.

In other words, it's at a stage where it's, um, re-improving itself.

Tell us again, we got about a minute and a half, the state of New York has done what? A ban, a temporary moratorium on what? Data centers? Describe that in detail.

Uh, can you elaborate on that a little bit? Like how does it work? What is it? What is it? What is it? Yeah.

Yeah.

I'm sorry.

Sorry.

I didn't mean to mislead.

Um, it's not different than biblical prophecy.

It's a, it's a different interpretation than traditional interpretations of biblical prophecy.

We do, yep.

And this is just a small part of what you're looking at with the new book.

Yeah, just a small part.

And so we looked at the book, The AI Tsunami.

I've been involved in and out of these technologies for decades, and most people don't realize that the foundations for AI have been building over 70 years throughout the industry.

So we've been touching on the different pieces, but you're correct.

Now, I wouldn't put too much concern.

There is a concern about competition with China, but in the technology field, there's really room for both.

How far back did the warning signs start clicking for you?