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Home » Our Next 20 Years: AI, Capitalism, And Fractal Minds: Judah Anttila (Transcript) 

Our Next 20 Years: AI, Capitalism, And Fractal Minds: Judah Anttila (Transcript) 

Editor’s Notes: In this thought-provoking TEDxOU talk, Judah Anttila explores the radical transformations awaiting humanity over the next two decades as technology continues its exponential growth. Drawing on predictions from futurists like Ray Kurzweil, he discusses the potential for a “great decoupling” in the economy, the possibility of infinite life by 2040, and the eventual arrival of the singularity. Anttila challenges the audience to envision a future where we move beyond matter to become patterns of intelligence, calling for new philosophies, art movements, and academic disciplines to navigate this unprecedented disruption. (March 24, 2026) 

TRANSCRIPT:

JUDAH ANTTILA: Alright guys, I have some crazy ideas and it’s hard to predict the future but it looks like we may need new economic ideas as soon as 2030. Infinite life may be possible by 2040 and some humans may become patterns by 2050. Now this level of disruption might sound crazy but along the way we’ll talk about the almost unstoppable growth of technology and the feelings of anxiety, anger, uncertainty and amazement we may feel. As well as the creation of new jobs, a new philosophy, a new language and a new academic discipline.

Ray Kurzweil and the Power of Exponential Predictions

So, where are these predictions coming from? There’s from a lot of people but if we could only focus on one it would be Ray Kurzweil. He has 21 honorary doctorates and is the director of engineering at Google and over the past 30 years he’s given more than 147 predictions with, depending on how you want to score it, about an 80% accuracy rate. He correctly predicted the explosive growth of the internet and the rise of ChatGPT and the iPhone in 1999. Now he didn’t call them the iPhone or ChatGPT in 1999 but he said what they would do, when it would happen and then it happened.

So how did he do this? Well he looked at how strong the top computers were over time and what he found was that computation is exponential. The number of calculations per second per constant dollar doubles every year and so to make his predictions he’d take the capacity, then translate that to the number of calculations per second per dollar and then translate that over onto the graph and then down onto the x-axis to find about when it would happen.

Linear Minds in an Exponential World

And a key realization here is this: our minds think linearly but technology grows doublingly. If you take 20 steps linearly you get to 20 but if you take 20 steps doublingly you get to 2 to the 20 which is over a million. And so to make this more concrete, more felt, 40 years ago 1 terabyte cost 4 million dollars. Now we can all go to Walmart after this and buy one for like 40 and it went from an entire room to inside your pocket in the process.

And so we’ve already had a million fold increase in computation, we’re just going to have another million fold increase in computation. And so this curve probably isn’t going to level off anytime soon because even before Moore’s Law and transistors it was a series of S-curves. Once one paradigm would stop, another paradigm would start. And so that’s why people like Ray Kurzweil can say things like, “The next 20 years will have more change than the last 200.”

But honestly, you know, who really knows? But for fun, let’s try to see if we can extend these technological predictions into predictions about the economy and culture, if for no other reason than it’s interesting.

The Great Decoupling: A New Economic Paradigm

So let’s go then, you and I, to a new economic paradigm, starting with the Great Decoupling. This is when private industry rents AI agents instead of hiring knowledge workers. And when capital stops investing in labor, the value of human labor starts to erode along with the role of college, academia, the Federal Reserve, and a social contract. Current predictions are that by the end of 2030, it will cost less than $10,000 to replace one knowledge worker. So now our goal is to get our boss to like us.

So I used to be somewhat cynical about how sometimes it seems like for every problem technology solves, sometimes it makes you more, but that could be a source of a weird sense of hope. Because we’ll have jobs we can’t even think of in the future, because we’ll have problems we can’t even think of in the future. And so an example would be human sustainability. We used to extract land, now in a way we kind of extract human attention and emotions.

An oil rig extracts oil, a coal mine extracts coal, and social media does a lot of things, but one of the things it does is attract human attention and emotions. Data is the new oil, as they say. And since manufacturing left, we have nothing left to subject to technology except us.

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And so we’ll have a whole new class of human sustainability jobs which cover how much to politically polarize the public to boost engagement and thereby company profits, and how much to intercede and extract between people with dating apps and all this stuff to prop up the economy. As well as maybe, if for some things, we should get a vote on the direction of technology.

But overall, since health is the amount of value you provide yourself, relationships is the amount of value you provide to people you know, and money is a stranger’s perception of how much value you provide, then so long as we have problems and strangers we can provide value to, then we’ll have jobs. But if we have too many problems, then we may enter a dystopia.

AI Alignment and the Case for Beauty

Now assuming that AI really won’t want to take over the human world in the same way that humans really don’t want to take over the ant world, you can try if you want, then we may, and also if AI, oh, if we don’t get world peace through some sort of technological world sedation, then if we do align AI with human values, then to prevent maybe an AI takeover or something like that, it may become a national emergency to bring beauty back into our creations.