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Moonshots · 4 min · Jun 3, 2026

AI's exponential pace is outstripping education and planning

Ray Kurzweil argues that people and institutions are not preparing for rapid AI-driven change. He points to outdated education and the need to plan for economic support as work shifts.

RK

Ray Kurzweil

Ray Kurzweil is an inventor and futurist.

  • Peter Diamandis, Host · Founder, XPRIZE

    Co-founded Singularity University and founded Zero-G; co-wrote the books Abundance and Bold.

  • Salim Ismail, Host · Founder, Open ExO

    Co-wrote Exponential Organizations; was Singularity University's founding executive director; sold Ångströ to Google.

About this segment

Ray Kurzweil argues that people and institutions are not preparing for rapid AI-driven change. He points to outdated education and the need to plan for economic support as work shifts.

From “Ray Kurzweil on Why We’re Living in the Singularity | EP #261”, Jun 3, 2026. Watch the full episode

“And they're going to college and they're planning careers the way we did 100 years ago.”
RKRay Kurzweilat 25:36 · Moonshots25:36

Takeaways

  1. People still plan careers around assumptions from a century ago.
  2. Education systems are not accounting for rapid AI progress.
  3. Society needs to discuss economic support before disruption accelerates.

In this episode

Full episode
  1. 11:56Exponential compute growth put AGI on a predictable timeline6:07

  2. 23:16AI's exponential pace is outstripping education and planning4:13

  3. 55:17AI is already shaping decisions and may soon blend into them7:32Up next
  4. 5 more moments in the full episode

Transcript

Transcribed by machine (Whisper) from the episode’s audio, so a word may be off here and there.

  1. 23:28

    I want to call to your attention, particularly if you look at this chart, there's a period between, I don't know, call it 1970 and 1980 or so when there's flat progress or the appearance. There's a bit of a plateau there. So plateaus do happen even though over, call it a 70, 80 year time period, there's a linear trend over time. So my question for you is, if you could send a message back in time to the 60s or the 1970s for how to avoid all plateaus in progress.

  2. 23:59

    We saw in space 50 plus years when humans weren't going to the moon. It's not that progress automatically happens in all domains for free. If you could send a message back in time to the 1960s or 1970s for how to avoid plateaus and just speed up progress toward the singularity, what message would you send back in time? I mean, I think it's just a normal variation, I don't really think there was constant growth during that period, it may look like that, but...

  3. 24:33

    Frame it then as a variance reduction measure, if you were to send a message back in time for how to reduce variation from that line, that semi-log line, what message would you send back in time to just minimize the variance? believe in the exponential as we all are doing here and you'd make this move a little more exponentially but certainly if you look at this So it looks like there's exponential growth across the entire 75 years here.

  4. 25:07

    And then I guess a related question that may be pulling on the thread of your answer that believe in the exponential is the solution. Do you think there is anything that we today prospectively looking forward could or should be doing to smooth out the exponential that we're not otherwise doing as a civilization going forward, going forward? Yeah. Well, I think we have to consider And the reaction of the crowd of humans, we have 8 billion humans who are not thinking about this.

  5. 25:42

    Or they might have heard something about AI. Yeah, there's something going on there, but they're not thinking about that. And they're going to college and they're planning careers the way we did 100 years ago. educational things don't think about this at all they're thinking about educational paradigms that existed 100 years ago and it's going to change very rapidly just think about how fast is this going like a year ago large language models were not really all that impressive and now they are one year so what's it going to mean in three years in five years and nobody's really planning that.

  6. 26:30

    And I think it will generate very positive things, but things are going to change very drastically. And who is going to provide, for example, being able to give everybody a certain amount of money each year to I mean, who's planning that? What are the politics of that going to be? So that's something I think we need to spend more time on. Ray, your 86% prediction accuracy, which if you go to Wikipedia and Google it and look at it, you can see this within, I think, a year, two years at the outmost.