Motley Fool Hidden Gems Investing - Interview with Zack Kass: The Next Renaissance
Episode Date: January 11, 2026Zach Kass is a global AI advisor and former head of go-to-market at OpenAI, where he led the teams responsible for sales, partnerships and customer success. He was at OpenAI when the company launched ...ChatGPT in 2022. Motley Fool contributors Rachel Warren and Rich Lumelleau talk to Kass about his new book, The Next Renaissance: AI and the Expansion of Human Potential. Host: Rachel Warren, Rich Lumulleau Guest: Zack Kass Producer: Bart Shannon, Mac Greer Advertisements are sponsored content and provided for informational purposes only. The Motley Fool and its affiliates (collectively, "TMF") do not endorse, recommend, or verify the accuracy or completeness of the statements made within advertisements. TMF is not involved in the offer, sale, or solicitation of any securities advertised herein and makes no representations regarding the suitability, or risks associated with any investment opportunity presented. Investors should conduct their own due diligence and consult with legal, tax, and financial advisors before making any investment decisions. TMF assumes no responsibility for any losses or damages arising from this advertisement. We’re committed to transparency: All personal opinions in advertisements from Fools are their own. The product advertised in this episode was loaned to TMF and was returned after a test period or the product advertised in this episode was purchased by TMF. Advertiser has paid for the sponsorship of this episode Learn more about your ad choices. Visit megaphone.fm/adchoices
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I don't really care if there's a bubble. I don't care. And I'll tell you why I don't care. I don't
care because I've studied history long enough to know that bubbles pop and sometimes it's healthy.
Like sometimes market corrections are actually quite good.
That was Zach Kass, author of The Next Renaissance, AI and the Expansion of Human Potential.
I'm Motley Fool producer, Matt Greer.
Now, Zach Kass is a global AI advisor and the former head of go-to-market at OpenAI.
He was at OpenAI when the company launched ChatGPT back in 2022.
Motley Fool contributors Rachel Warren and Rich Lumello recently talked to Kass
about the future of AI and about his new book, The Next Renaissance.
You started your career in AI almost 15 years ago, as you say in the book,
And, you know, at OpenAI as head of go-to-market, you helped the company grow from $1 million to over $2 billion in annual revenue.
But you say that nothing really prepared you for November 30th, 2022, the day that ChatGPT was released.
So I'd love if you would tell us about your background, your journey, what led you to here, and then walk us through that experience, that moment in time when the world was introduced to ChatGPT.
Sure. Well, I'm not sure that anything would have prepared me for that date.
So even as you framed the question, I was thinking like, what would have prepared me? I went to Berkeley for college. I studied history and computer science, had graduated and got a job at a machine learning company. And the focus was on, at the time, building data sets. It was a company called Figure Eight building data sets for the purposes of machine training.
And of course, now this has become exceptionally normalized and quite lucrative companies like
Mercor and LabelBox and Surge, et cetera.
And we were principally selling data at the time to companies like Facebook, Google, and
Amazon, who could afford these large statistical machine learning models.
And they were mostly just doing product recommendations.
And I stayed there long enough to graduate to a company doing large language models for
the purposes of machine translation.
That company was called Lilt.
and I stayed there long enough to graduate to OpenAI.
And so I joked that I just,
at a time where everyone was making money hand over fist
in things like cloud storage or e-commerce
or sales optimization software,
I just stuck around in AI long enough for it to pay off.
And at OpenAI, for a long time,
if you emailed sales or support out,
you arrived at my inbox.
And that started to change
as we started to build API products,
it became more popular.
Of course, GPT 3.5, most people don't remember,
but it was state-of-the-art.
and really impressive in many ways.
And then, of course, ChatGPT, November 30th, 2022.
And what was particularly impressive about that
is that I had felt like OpenAI
should have arrived much sooner.
My case to anyone who would listen
was that GBD 3.5 was a commercially viable
or economically viable model
that people should have been adopting
much faster and weren't.
And it was publicly available in the API
since June 2022.
So you had the stretch of about five months,
four months where people could have built chat gbt and did and chat gbt was as i remind people
not a research breakthrough it was an application breakthrough and it deserves for me this
incredible reminder that the application layer matters so much you have to build things that
people can simply use otherwise you cannot change consumer or even enterprise behavior in in a
material way and that moment is indelible in certainly a lot of technological history but
also my personal history because a lot of us went home that night not sort of thinking anything of
it i mean the purpose of it really was to create an experience so that a ceo could come to the
website use the product and then tell their cto that they should build something with the api and
then of course what happened was hundreds of thousands and millions of downloads and then
billions of downloads later and it was amazing and it sort of thrust open ai into into the forefront
it materially changed how people understood ai would work but it wasn't a scientific breakthrough
It's simply put everything in a context that made sense.
locations in Ontario. Obviously, we are a website and a podcast for investors. So for investors,
the first question I was going to ask you was kind of how early in AI are we? But probably
the better question is, are there any misconceptions out there from your perspective of how early we
are? Well, I'll ask you, Rich, where do you think humans are in the human experience?
Are you a baseball fan? Yeah, third inning.
It's funny.
People either pick second inning or eighth inning.
I've heard some people do nine.
Third is great.
I like third a lot.
Yeah, let's say we've been around a couple hundred thousand years and we'll be around
for a few million years.
Seems reasonable.
I ask this, by the way, because I ask it of everyone.
Because when someone's like, where are we in AI?
I'm like, well, where do you think we are in the human experience?
Because that sort of answers the question.
I can't convince someone that humans are going to be around for millions of years.
And then maybe the next question is, well, is there a bubble?
Where do we sit in the investment?
I don't want to put words in your mouth, but where do we sit in the investment timeline and
how much of this needs to shake out? And I have sort of three answers to that. By the way,
I don't know if you were going to ask that, but maybe I answer it.
I'd love to hear your take. Yeah.
Okay. Well, I have three answers and all three of them are hot. One of them has a negative
connotation. One of them has a positive connotation. One of them is neutral.
I'll start with the negative one. People hate this take by the way, but it's true. This is
how I feel. I don't really care if there's a bubble. I don't care. And I'll tell you why I
don't care. I don't care because I've studied history long enough to know that bubbles pop
and sometimes it's healthy. Sometimes market corrections are actually quite good. You hate
being a part of it, but a lot of people are beneficiaries on the back end of it as long
as things sort themselves out and short-term pain can lead to long-term growth and progress.
I'm not, by the way, sure that there is a bubble. I just don't spend a lot of time talking about it.
And by my calculation, the people who really need to worry about it are hedge fund managers
and individuals who are so uniquely exposed to AI.
By the way, I am one of them.
Like, let's be clear.
It's not like I want my net worth to take a material hit.
It's that I know that this takes a long time to play out.
Now, my other hot take is that even if there is a bubble,
what we are building right now,
the AI infrastructure is super valuable.
And in particular, the energy infrastructure.
I think that the forcing function here
around the ai sprint the broad ai infrastructure sprint is a net positive for everyone because it
will spool up not 40 more energy but a thousand percent more energy and a thousand percent more
energy is only tenable if you have step functional breakthroughs in energy so you either need
for example geothermal which of which there's like a hundred gigawatts in outside yuma you need a
solar field the size of Texas, or fusion and small modular reactors. And that forcing function is
going to drive us into a new energy paradigm. And what I always say to people is unmetered
intelligence is very cool. Do you know what's cooler? Unmetered energy. Like if nothing else,
if AI drives us to a place where we can build desalinization and vertical farms so that everyone,
everyone on earth, thanks to energy advancements can have clean drinking water and fresh produce,
we will have done an enormous amount. There are second order consequences,
much like the railroads to this stuff. You've talked a lot today about unmetered
intelligence, the different phases of the integration of AI as kind of this ubiquitous
presence in our daily life. And a lot of that goes back to what you talk about a lot in your book,
the AI Renaissance, which obviously has implications for consumers, of course, for us as
investors. What do you view as being the most kind of vital conditions to usher in the AI Renaissance?
And what does that look like in practice?
First of all, it's funny.
We basically debated naming the book Unmetered Intelligence, which I think would have been
better sticky IP, but it is much less approachable.
And so like if I wrote another book tomorrow, I'd write Unmetered Intelligence and I would
sort of expand on the ideas in the first one.
The point of the next renaissance is actually I wrote it for my mom.
I wrote the book for everyone on earth right now.
The educated lay person who is desperately trying to make sense of this moment and for
whom there are very few tools.
My mom's a well-educated woman who just doesn't know a whole lot about AI, and there are a
lot of these people.
And sort of what I lay out in it are some complex ideas, one of which is unmetered intelligence,
the theory that intelligence is in fact just a resource.
And like water and foodstuffs and electricity and the internet before it, it will go from
very scarce to very abundant.
It's very hard to compete on a basis of electricity anymore, right?
Owning the utility matters, but you can't actually go out and raise money to say, I
have access to more electricity unless you are literally building the power plant.
And my argument here is sort of the same, which is that intelligence will go the way
of these resources and that when we commoditize and utilitize things, good things happen.
My net bet is that the world gets a lot better because we are making the cost of this critical
resource so cheap.
And if you argue, and I do, that we measure the human experience on basically human progress
on two axes, how free are we to pursue our own version of joy and how inexpensive is
it to do so, right?
On one axis, you need governments to protect freedoms and personal liberties.
And on the other, you need private market to drive the cost of goods and services down
through technological innovation and utilitization.
And the path that AI is on is basically the best evidence that I can make that we're
commoditizing, utilitizing a critical resource. And what happens when we arrive at unmetered
intelligence, that's up to us. And I mean us sort of collectively, cities, states, governments,
or countries and communities, and a bunch of upside and a bunch of downside. And we sort of
lay all that out in the book.
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You know, AI is really rapidly commoditizing many of our skills and knowledge.
And I think one of the questions that comes up a lot, again, as consumers and as investors, is what does the AI renaissance mean for the future of work? How does it empower humans, you know, rather than replace them? What does that look like in the next, you know, 5, 10, 15 years in your view?
Yeah. So I think the way we describe the next renaissance in the book from a work standpoint,
well, first we explain it from a work standpoint. So we say, look, here's some things that are going
to happen as it relates to the future of work. And we spell out the jobs that are more likely
to automate on a technical basis. And we spell out the jobs that are more likely to augment on
a technical basis. And then I call out something that I think is very important for everyone to
acknowledge, which is that asking the question, what jobs are going to automate first actually
requires considering what unions are weakest. Like most jobs are not going to fully automate
because most jobs are going to have exceptional political protection. And when you make the
argument, oh, well, the software engineer automate first, the reason that it's a decent argument
is not that cloud code is getting super good. It is. But the reason it's a decent argument is
because software engineers have no political protection. They never organize. They have no
union and not a single congressperson except for one or two in seattle and san francisco are going
to pass a bill to say we have to protect these people who make seven hundred thousand dollars
a year and so if you actually play out wow why would this group automate it's because the
politicians aren't coming to save them and we see this all the time i mean one of the things i talk
about in the book is that the reason that dock workers are not automated right now is political
protection. They went on strike. They said, you cannot automate the ports. And we said, okay,
you have four years. We'll keep it the same. And that brings me to the ultimate point that I will
make. And then we'll conclude on this. People are making job automation an economic issue.
And I think it's totally missing the point. Every time someone says we're going to automate work
and that creates economic pain, we talk about the unemployment rate, et cetera. I think we are
actually missing the red herring and so much of what I make in the book, which is, and this will
sound callous to some people, certainly those who have lost their jobs, but I have to say it anyway
from an academic standpoint. The longshoremen who went on strike declaring that automation harms
families and robots don't pay taxes, that's what their picket signs read, were all able to
acknowledge when I interviewed them that the world would be cheaper if we automated shipping.
and what we all forget as we have these debates about our job displacement is that we are all
descendants of people whose jobs were automated to our economic benefit and we never pay them a
second thought we don't think about what they went through in order for us to arrive at this moment
moreover we actually wander the earth basically all day asking when is this good or service going
to be better faster or cheaper without realizing what we're asking is when is a human going to be
extricated from the manufacturing of this good or service and we don't ask that question because
we're jerks we ask that question because we are rational economic actors conditioned to believe
that everything should get better faster cheaper all the time thanks to technology and my argument
is that automation is actually going to be one of the great boons like a massive wave of job
automation is going to be an economic boon that we can't even imagine and the problem is not going to
be, that there is not more and better food on the table. The problem is going to be that people
can't clearly say, this is who I am. That actually what we're facing is not a job displacement
crisis, it's an identity displacement crisis. That at least a generation and maybe two will
have to extricate the purpose and identity from work, which has been ingrained in us for thousands
of years. To such an extent that the two most common last names in the United States are Miller
and Smith because we used to name ourselves after our professions. And I remind people of this not
to sound like a jerk when they say, well, whose job is going to automate? Because I don't want
to say, well, yours, thankfully. But everyone, it turns out, is wandering around right now,
wondering when everyone else's job is going to automate, just not theirs. Because they know that
the world would actually be a whole lot better if taxes were easier to do. So the accounts got
automated. If we could figure out radiology scans, so we didn't have to see a radiologist,
so the radiologists can be automated.
If we could figure out how to stand buildings up
in minutes instead of years
so we automate the construction workers,
we can all observe that that world is better economically.
The problem is the automation boundary.
What is the limit of it?
And I don't know, but my point in all this
is talking about automation like it is this pejorative
is actually the issue
because the issue at hand is purpose.
The issue at hand is clearly identity.
And I will add one more thing and then I'll go.
We can wrap this.
When I wrote the book, I wrote it in homage to John Maynard Keynes, who wrote a paper in 1930 that I have read more than any other academic paper in my life. I've read it hundreds of times. I've memorized it verbatim. I can recite it to you now. And he wrote this paper against the backdrop of global despair and suffering.
He wrote it at a time when people were literally dying of starvation in the street, and he
was traveling Europe, giving this lecture series, and he came back to the States and
he wrote, and I quote, I must now disembarrass myself to take wings into the future to imagine
a world that I will certainly not live to see, one in which humans will have solved
the economic problem and be faced with something more profound.
The father of modern macroeconomics was arguing that on the horizon was a spiritual battle.
And I totally agree.
I look around the world and I'm like, the problem is not going to be, are we fed?
The problem is not going to be, can I eat something?
Can I do this thing?
Can I buy this thing?
The problem is going to be, am I spiritually satiated?
Am I happy?
and we're already seeing the effects of the device addiction on a standard of living that is going up
all the time the developed world is getting less happy so what i tell people and they say what's
the future of work look like i'm like look one there's probably plenty of it and two if there
isn't good seriously like something profound will happen on the other side and we might discover
what it means to be human but either you believe that everything is going to automate and we're
going to have way more food and stuff or you don't and we're just going to continue to trudge along
in our current sort of state and i argue that something has to give i think humans are meant
for much more and i'm not sure exactly what it is but i do know that everyone is happiest when
they're in physical community with friends and family ideally outside and i'm like man could
technology this technology in particular finally give us the opportunity to do that to actually
congregate the way that our hunter-gatherer ancestors did in a way that, you know, Harari
argues they might have been the happiest humans to ever exist because they had community and purpose
sort of throughout their life. What if we are actually about to return to that?
Zach, I think you've given our audience and us as investors so much to think about. I think I
speak for Rich and myself that we wish we could speak to you for two or three hours. It's such
a wealth of knowledge on this topic. But thank you so much for joining us today to our full
audience. Check out Zach's upcoming book, The Next Renaissance AI, Expansion of Human Potential.
Thanks so much, Zach. Thank you.
As always, people on the program may have interest in the stocks they talk about,
and The Motley Fool may have formal recommendations for or against, so don't buy or sell stocks based
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For the Motley Fool Money team, I'm Matt Greer. Thanks for listening, and we will see you tomorrow.
