Why Fast Learning Is the Only Protection Against AI Disruption | Jody Glidden - Tech Entrepreneur & CEO

Summary

Detailed Summary of "Why Fast Learning Is the Only Protection Against AI Disruption" featuring Jody Glidden

In the episode titled "Why Fast Learning Is the Only Protection Against AI Disruption," hosted by Scott D. Clary on the Success Story Podcast, entrepreneur and CEO Jody Glidden delves into the profound impact of artificial intelligence (AI) and automation on the modern job market. The conversation emphasizes the critical importance of adaptability and continuous learning as essential strategies to navigate the rapidly evolving technological landscape.

---

The Transformative Impact of AI on the Job Market

Jody Glidden opens the discussion by highlighting how AI and automation are fundamentally reshaping the job landscape. He expresses concern over the displacement of both blue-collar and white-collar jobs, projecting that within the next five years, significant segments of the middle class could be threatened.

Jody Glidden [00:50]: "Technology is completely replacing them. Like, I think this is going to hit people coming out of college and university the hardest immediately because I don't know where they're going to get jobs anymore."

Glidden underscores the urgency for individuals to adopt an entrepreneurial mindset, suggesting that traditional career paths may no longer be reliable.

Jody Glidden [02:23]: "Everybody has to start acting like an entrepreneur. That's really it."

Embracing Agility and Lifelong Learning

The conversation shifts to the necessity of being agile and committed to continuous learning. Glidden emphasizes that the job market of the future is unpredictable, and the ability to swiftly acquire new skills will be a vital asset.

Jody Glidden [01:30]: "You have to expect that the job market that you're going to enter is not foreseeable right now. And so one of the ways that I've always adapted anyway is by being open to learning and just constantly whatever that new thing is."

He advocates for individuals to remain proactive in their education, utilizing resources like videos, books, and other learning materials to stay ahead of technological advancements.

The Entrepreneurial Shift in Company Structures

Glidden discusses a notable trend where companies are achieving greater efficiency with smaller teams, a shift driven by AI and automation. He points out that even large corporations like Meta and Google are shrinking their headcounts while maintaining or increasing revenue.

Jody Glidden [03:03]: "You're seeing at the big companies like Meta and Google and all these companies are shrinking headcount and still achieving the same and exceeding revenue too."

This trend signifies a move towards leaner operations, where productivity and revenue generation are prioritized over sheer employee numbers.

Evolution of Building Companies in the AI Era

Reflecting on his entrepreneurial journey, Glidden contrasts the challenges of building companies in the early 1990s with the present day. He notes that while the early years were marked by significant cash constraints, the current environment leverages AI to achieve remarkable growth with limited resources.

Jody Glidden [05:24]: "Back then I was doing things like profitably, for example, you know, because that was the only way I knew how."

He marvels at the capabilities of modern AI tools that allow a small team to develop and deploy complex features rapidly, often surpassing expectations.

Jody Glidden [05:53]: "From quarter to quarter, when I go back and show customers or prospects the feature list that we've accomplished with such a small team, it's blowing people away."

The Rise and Limitations of Low-Code and No-Code Platforms

The discussion delves into the advancements of low-code and no-code platforms, which have democratized software development. Glidden explains that while platforms like Bubble and Flutter have made it easier to build applications, the integration of AI takes this capability to the next level.

Jody Glidden [06:47]: "It's becoming obsolete now because now you can actually make actual Java code, Python code, node JS code with not a lot of knowledge."

He cites examples of individuals with non-technical backgrounds successfully creating apps using AI-assisted coding tools, highlighting a shift towards more accessible software development processes.

Jody Glidden [07:08]: "He taught himself, you know what nowadays they call vibe coding. And he built it."

Logic as the Core Skill for Future Success

Glidden posits that in an AI-driven world, logic stands out as the foundational skill that will underpin success across various domains. Whether it's physics, chemistry, mathematics, or coding, logical reasoning enables individuals to adapt and thrive amidst constant technological changes.

Jody Glidden [09:55]: "What threads through them all is logic. And so the better we all get at logic, then that's an adaptable skill that you'll be able to drop yourself into any environment, learn some domain and make yourself useful."

He emphasizes that building a company is inherently a logical process, involving market analysis, competition assessment, and strategic planning—all of which require strong logical thinking.

The Emergence of "Companies of One"

Concluding the conversation, Glidden touches upon the concept of "companies of one," where individuals leverage AI and automation to operate independently, achieving substantial revenues without the need for large teams.

Jody Glidden [10:45]: "It might be a company of one."

He references insights from industry leaders like Sam Altman, predicting the rise of solo entrepreneurs capable of building billion-dollar enterprises single-handedly, thanks to advancements in AI technologies.

---

Final Thoughts

Throughout the episode, Jody Glidden presents a compelling case for the indispensable role of fast learning and adaptability in safeguarding against AI-induced disruptions. By fostering logical reasoning and embracing entrepreneurial strategies, individuals and aspiring entrepreneurs can navigate and thrive in the evolving economic landscape shaped by artificial intelligence.

---

Notable Quotes:

• Jody Glidden [01:30]: "You have to expect that the job market that you're going to enter is not foreseeable right now."

• Jody Glidden [02:23]: "Everybody has to start acting like an entrepreneur."

• Jody Glidden [05:53]: "It's blowing people away."

• Jody Glidden [09:55]: "What threads through them all is logic."

• Jody Glidden [10:45]: "It might be a company of one."

---

This comprehensive summary encapsulates the pivotal discussions from the episode, providing valuable insights into the intersection of AI, entrepreneurship, and the future of work. Whether you're an entrepreneur, business professional, or simply interested in understanding the implications of AI on career development, Glidden's perspectives offer a roadmap for thriving in an AI-driven world.

Transcript

[A]

HubSpot is a success story. Partner now if you're an entrepreneur, listen up because HubSpot makes impossible growth impossibly easy for their customers. If you are building a business, you need to get HubSpot. Why? Here's the perfect example. Morehouse College needed to reach new students with fresh, engaging content, a problem that every single business in the world has. But with a 900 page website, even the tiniest update took 30 minutes to publish. Now Breeze, which is HubSpot's collection of AI tools, helped them write and optimize their content in a fraction of the time. And the results? 30% more page views and visitors now spend 27% more time on their site. If you are ready for impossible growth like this, visit HubSpot.com in this lessons episode, explore how AI and automation are reshaping the job market and forcing a complete rethink of how we build careers. Learn why adaptability and lifelong learning are now essential, essential survival tools. Learn how logic rather than specific skills will define success in an AI driven world. And learn why the future may belong to companies of one rather than massive corporate teams. So what are. How are people going to learn or upskill? If you know, technology is completely replacing them. Like, I think this is going to hit people coming out of college and university the hardest immediately because I don't know where they're going to get jobs anymore.

[B]

No, I think that I have a daughter now that's 16 years old. And I think the most important thing is to be agile. You have to expect that the job market that you're going to enter is not foreseeable right now. And so one of the ways that I've always adapted anyway and is by being open to learning and just constantly whatever that new thing is, there's always going to be a new thing. And whatever that new thing is, if you're on top of it, not trying to outsource it to people. All weekend, all evening, I'm constantly watching videos and studying and things like that. Reading books, that's going to be a more important skill than ever. Because if we're expecting to, okay, we're going to go to high school, we're going to go to college, and then we're done learning. Yeah, you're done.

[A]

Yeah. And I think that this is something that people first realize during COVID like if they haven't upskilled and they got laid off during COVID then they tried to get back in the job market and they were just doing the same job for the past, you know, 20 years and they haven't upskilled. Then there was a lot of friction with them getting a new job. Now AI is making it even more difficult for those people. I think that everybody has to start acting like an entrepreneur. That's really it.

[B]

That's going to be a trend.

[A]

Yeah.

[B]

Like, I can see now already that the company sizes are shrinking dramatically. Right. You're seeing at the big companies like Meta and Google and all these companies are shrinking headcount and still achieving the.

[A]

Same and exceeding revenue too. And I think there was a thing about Meta just shrunk. Headcount exceeded revenue numbers and people were giving them a hard time. Like, why would you lay people off?

[B]

I'm like, what will those people do? Like what. Yeah, I know, but do at Meta or Google, when there's.

[A]

Exactly.

[B]

People are more productive and you have.

[A]

To think the company's mandate is to grow the company, grow the revenue, decrease expense.

[B]

It's their job.

[A]

It's their job. So as much as it, you know, from, from a. Oh, it's nice if the company just employs people to employ people. At the end of the day, no company's ever going to act that way. So you have to understand how companies act and then you conduct yourself accordingly.

[B]

That's the world we live in.

[A]

Yeah.

[B]

And that's the world, you know, our children are going to move into and everything. So, you know, I think I've seen it also at the smaller scale. Right. Because I've done a lot of companies from zero to, you know, they call it zero to one. But these companies from zero to 100 or several hundred people are now, I think you can still, you can build those same kinds of companies with fewer heads.

[A]

Yeah.

[B]

And, and so if you can, you have to because the investors will only give you that much money.

[A]

So, I mean, you've built, you've built several companies. If you look at, if you look at how you build in 2025 versus how you used to build, what are some of the biggest differences? Like when you first started out, what was the, what was like the first company? Because that would have been how many years ago? I don't want to, I don't want to date you. Yeah, but it was, it was a couple years ago, right.

[B]

Early 90s. Yeah. Yeah.

[A]

So when you first started that company, what was notably different in how you had to think through getting something from zero to one, getting it off the ground, raising money, hiring. I'm just, I want to paint a picture for how much things have changed and how quickly things have changed.

[B]

Yeah, you know, I. So my first one was like in the early 90s and then the late 90s and, and back then I think it was, it was kind of like what. We were very cash constrained back then. And in the two, in the early 2000s, all of a sudden cash was free and now it's starting to get more cash constrained again because people, investors know that you can do it on less cash. So back then I was doing things like profitably, for example, you know, because that was the only way I knew how.

[A]

Crazy idea.

[B]

Yeah, exactly. Yeah. But I think now we're moving into. We're still doing the same kind of thing where we're doing a cash constrained. But it's incredible what we're able to get done in a short period of time. In Postalize my new company, from quarter to quarter, when I go back and show customers or prospects the feature list that we've accomplished with such a small team, it's blowing people away.

[A]

So when you say blown away, what. What is so impressive? What is it doing? Because not everybody, like, not everybody codes, not everybody's in the weeds on this. All we, everyone hears about, like no code, low code.

[B]

Right.

[A]

But that's all, that's all most people ever hear about it. They don't actually know what that means. And I don't even think that that is even AI.

[B]

It really. It's not. Yeah. So that's those things like bubble and things like that flutter. But, but this is even beyond that. I'm not sure that those are even. I think those are becoming obsolete now because now you can actually make actual Java code, Python code, node JS code. Having not a lot of knowledge. I saw a guy on a podcast, he was one of the business guys at Uber and he created a very, very successful app. Just him. It's generated.

[A]

He was not a technical guy, he was like a business development guy. Yeah.

[B]

He has no staff. It's just him. And he taught himself, you know what nowadays they call vibe coding.

[A]

Yeah.

[B]

Yeah.

[A]

And he built it. And is that just as simple as going into ChatGPT and saying, literally, I need to build this app, can you code it for me? And then taking that code and then hosting it somewhere.

[B]

Well.

[A]

Or is there?

[B]

Most of the time it's going to get it wrong. It's going to get it. But if I look at what was happening, say a year and a half ago, the code that it was producing versus the code that it produces today, there's very few errors versus back then it was, you know, a lot of errors. So. So that's just continues to get better and better. On top of that, you have, you have to have knowledge of like, the more knowledge you have of coding, the. The better you're going to be at it.

[A]

Because if it's like 90% of the way there, then you can take a look at it and that's still tons of time saved.

[B]

Exactly. That's what a lot of the developers are talking about, is that it gets them 90% of the way there. Although now with products like Cursor and some of the newer models like O3, I'd say you can get it closer to like 95, 96% there.

[A]

In the past, you said that Intro Hive was going to be your last company before AI came along. So, I mean, I'm laughing because I sit down with so many entrepreneurs and whenever they say they're done, it's always a lie. It's like 100% of the time alive.

[B]

Yeah.

[A]

So what was it about? What was it about? I mean, I. I think I know the answer, but I want to hear it from you. Like, what was it about generative AI that was so exciting for you? I know that it's efficient. I know that it can do incredible things. I know that it's the future, but you don't have to work again. So why do you want to build in generative AI and go from 0 to 1 all over again? Like every time it's like an extra gray hair. Right.

[B]

And it's, it's not less painful. Yeah, I know the coding may be easier and all this stuff, but it is for everybody else in the world too.

[A]

Yes, exactly.

[B]

The situation is higher.

[A]

Exactly. Yeah.

[B]

No, I would say that, yes, I was going to be done, but I think now what got me are really a couple of things. I'm really worried about our future generations a little bit. So I think that there might only be maybe 3 to 10 more years left to earn before the middle class could be completely wiped out. Because there might be so many blue collar jobs and white collar jobs that are replaced. White collar with the AI that we know now and blue collar with the robotics and everything that's coming maybe five years from now that I feel like maybe I need to earn more for the help with my future generations, my daughter and all of that.

[A]

I can ask Chat GPT for anything. What do I actually have to know? I know, I know how to interpret the output of a generative Chat tool. So what do I actually have to know? Just enough to interpret it and prompt it.

[B]

Or well, I think really with all of those, whether it's, you know, physics or chemistry or math or coding, what they all, what threads through them all is logic.

[A]

Yes.

[B]

You know, and so the better we all get at logic, then that's an adaptable skill that you'll be able to drop yourself into any environment, learn some domain and make yourself useful. I think building a company is also a process of logic. You have to figure out what should the product be or the service be. You're figuring out what's the market sizing, what's the competition like, how do you pick a good idea? You have to learn all about how to pick. Then you have to figure out well, how do I persuade an investor? And you learn all about that. But these are all logic problems. Right. And so if you don't get the logic skills built up in your early years, you're probably going to struggle later on when probably like you said, the main job will be building a company. It might be a company of one.

[A]

It could be a company of one. And I mean one of my favorite charts is actually looking at how many people it takes to make a million dollars in annual revenue. And if you look at the graph over know a period of time since the 1940s or 50s used to say pretend it was like 50 people and now to make a million dollar, you know, ARR. Annual recurring revenue or annual revenue company, it's one person.

[B]

Yeah, the guy that.

[A]

And not even just million, it could be several million with a chrome extension or whatever.

[B]

They're, they're, they're predicting. I think Sam Altman might have said this that but a lot of people have that they think that they're in the next several years there's going to be somebody that will make a billion dollar company with one person.

[A]

Thanks for tuning in. If you found this valuable, don't forget to hit that subscribe button so you never miss an episode. And if you want to dive deeper into this conversation, check out the links in the description to watch the full episode. See you in the next one.