The K-Shaped Future of Work

5 Feb 2026 · 20 min · 8 chapters

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Podcast Episode Notes: The K-Shaped Future of Work

Podcast Title: Marketing School - Digital Marketing and Online Marketing Tips Hosts: Neil Patel and Eric Siu Episode Title: The K-Shaped Future of Work Episode Description: Discussion on the evolving landscape of software engineering, marketing, and white-collar work influenced by AI, highlighting the disparity between senior and junior talent and the qualities that define success in this new environment.

Key Takeaways

  • K-Shaped Future of Work:
  • Senior talent is increasingly rewarded in the AI era while junior roles face challenges.
  • AI systems generate approximately 70-80% of outputs, raising the bar for quality and creativity from human workers.
  • Success Factors:
  • Taste, speed, and a bias toward action are pivotal for differentiating successful individuals and teams in a competitive landscape.
  • Companies and individuals must adapt quickly and effectively to leverage AI advancements in their work.
  • Cultural Shift:
  • Insights on remote vs. in-office work cultures and the implications for team integration and knowledge transfer.
  • Discussion about the “slop apocalypse,” a term used to describe the potential over-saturation and decline in quality of AI-generated content.

Episode Structure

  1. Introduction (00:00)
  2. Explanation of the K-shaped future of work concept.
  1. Senior vs. Junior Talent (00:24)
  2. Discussion on the advantages seniors have in the current job market, emphasizing the importance of experience and adaptability.
  1. AI Output Quality (01:00)
  2. The hosts discuss the implications of AI generating 70-80% of outputs and the necessity for higher-quality human input to stand out.
  1. Team Dynamics: A vs. B (02:22)
  2. Comparison between two types of engineering teams:
  3. Team A: Focuses on impact, embraces ambiguity, and prioritizes user experience.
  4. Team B: Stuck in process and inaction, leading to poor outcomes.
  1. Remote Work Insights (03:28)
  2. Anecdotes from Procter & Gamble regarding their preference for in-office companies due to culture and knowledge transfer issues.
  1. Marketing Agencies and AI (05:39)
  2. Discussion on how AI is reshaping marketing strategies and agency operations.
  1. AI Search Citation Shift (06:10)
  2. Examination of how AI search results heavily rely on third-party content, with only a small percentage coming from original websites.
  1. Slop Apocalypse Debate (07:10)
  2. The potential challenges posed by AI-generated content saturation and its impact on audience engagement.
  1. OpenAI vs. Anthropic Usage (12:23)
  2. Insights into the shift in usage patterns between different AI platforms and tools.
  1. Bias to Action Wins (16:57)
  2. Emphasis on the importance of taking initiative and demonstrating capability in a competitive landscape.

Key Concepts

K-Shaped Talent Market

  • The concept describes a diverging job market where senior professionals excel, while junior roles struggle due to the rapid advancement of technology and AI capabilities.

Role of AI

  • AI not only enhances productivity but also raises expectations for human performance, necessitating a focus on higher-quality contributions.

Remote vs. In-Office Work

  • A discussion illustrating the advantages of in-person interactions for knowledge transfer and team cohesion, based on experiences shared by Procter & Gamble.

Slop Apocalypse

  • A term coined to describe a future scenario where the abundance of low-quality, AI-generated content leads to audience disengagement and a preference for authentic human-generated content.

Conclusion

  • Hosts conclude with a call to action for listeners to embrace a bias toward action and curiosity in their professional endeavors, stressing the importance of standing out in a world increasingly driven by AI.

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This episode offers valuable insights for founders, marketers, engineers, and creators navigating the complexities of AI-driven change in the modern workforce. The discussions underscore the need for adaptability, quality, and human judgment in a rapidly evolving digital landscape.

Written by AI. May contain mistakes. Listen to the episode to check what was said.

Chapters

Tap a time to open that second in VO

The Importance of Data in Business

0:36 to 3:00

Understand why using data effectively is crucial for business success.

“is like dating someone who only texts emojis.”

AI's Impact on Engineering Roles

3:00 to 5:00

Explore how AI is changing the landscape of engineering work.

“article starts off, it's developers are cooked.”

Team Dynamics: Impact vs. Activity

5:00 to 7:50

Learn about the differences between effective and ineffective teams in engineering.

“So Procter & Gamble, I was talking to someone recently.”

M&A Insights from Procter & Gamble

7:50 to 10:00

Discover how Procter & Gamble approaches acquisitions and company culture.

“Yeah, and I wouldn't say that you can't build a remote company because there's a lot of successful remote companies that are worth a lot of money.”

The Challenges of Remote Work

10:00 to 12:20

Examine the difficulties companies face with remote work environments.

“And Presser and Daniel Ek from Spotify will be thinking about daily.”

The Slopocalypse: AI and Content Creation

12:20 to 14:01

Discuss the implications of AI-generated content on marketing and engagement.

“Did you see the graph where it shows Anthropic is clearly overtaking just OpenAI?”

The Impact of AI on Personal Health Tracking

14:01 to 16:40

Explore how AI tools like ChatGPT can assist in personal health management.

“Also keep in mind the markets increase as well.”

The Future of Work and Human Interaction

16:40 to 19:05

Understanding the balance between AI integration and human interactions in work.

“with here on the Slopocalypse piece is, you know, I think this is, you know, we're going to see a lot more of this.”
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Transcript

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0:00Did you know that most businesses only use 20 % of their data? That's like reading a book with most of the pages torn out or paying for coffee that's one fifth full. Point is, you miss a lot unless you use HubSpot. Their customer platform gives you access to the data you need to grow your business. The insights trapped in emails, call logs, and transcripts. All that unstructured data that makes all the difference because when you know more, you grow more. And when you get a full cup of coffee, you can do more too, but I digress. Visit HubSpot.com today.

0:35using only 20 % of your business data is like dating someone who only texts emojis. First of all, that's annoying. And second, you're missing a lot of context. But that's how most businesses operate today, using only 20 % of their data. Unless you have HubSpot, where all the emails, call logs, and chat messages turn into insights to grow your business. Because all that data makes all the difference. I would know because I use HubSpot at my company. Learn more at HubSpot.com.

1:07Being a know-it-all used to be considered a bad thing, but in business, it's everything. Because right now, most businesses only use 20 % of their data unless you have HubSpot, where data that's buried in emails, call logs, and meeting notes become insights that help you grow your business. Because when you know more, you grow more. See, being a know-it-all isn't so bad. Visit HubSpot.com today to learn more.

1:34Nobody likes a spoiler, unless it's your customers telling you exactly what they need. But too bad most businesses miss out on these signals. The hits dropped in emails, the messages hidden in call logs and chats, all of it trapped in the digital ether. But with HubSpot, you get all this data in one place. Their customer platform brings together the insights you need to grow your business. And spoiler alert, the more you know, the more you grow. Visit hubspot.com to find out how today.

2:07Cutting your sales cycle in half sounds pretty impossible, but that's exactly what Sandler Training did with HubSpot. They used Breeze, HubSpot's AI tools, to tailor every customer interaction without losing their personal touch. And the results were pretty incredible. Click-through rates jumped 25%, qualified leads quadrupled, and people spent three times longer on their landing pages. Go to HubSpot.com to see how Breeze can help your business grow.

3:00article starts off, it's developers are cooked. If machines can code this well right now, what's even the point of engineering? But we're seeing the same things for marketing across the board right now, if all this can be done. So my whole thing right now is I'm just going to, I think, to motivate people to get off their butts, I'm just going to be making videos on me doing these tasks in 20 minutes or so. And if I can get it seven or eight, like, wake up, wake up, guys. But the hard part is, is they just have to understand that seven or eight isn't good enough for customer work or even your own work because everyone's using AI and everyone's creating seven or eights.

3:32You have to figure out how to get to 10. And what this does, and Eric's not saying you should settle on the seven or eight, it's you take the seven or eight and then you go spend your time to make it that 10. That's what we call taste. Yes. And that seven or eight that AI did helped you save a lot of hours. So you should be able to get to 10 much faster. Yeah. And here's the kicker here. So he says, look, consider two teams, right? So engineering is not being, it's being displaced, but not replaced. Okay. So you have team A and you've worked with engineers like this before. Okay. So team A, team A cares about impact, not activity.

4:05They handle ambiguous problems without paralysis. They understand the product business and the data, not just the code base. They design high leverage systems and actively reduces complexity that highly reduces complexity. They adopt new tools quickly and apply them with taste. They obsess over the user experience and they find creative solutions to hard problems versus team B, Neil, for engineering. Okay. Team B, they build before understanding the problem. They fixate on performative code quality. They bike shed details instead of making users happy. They complain about headcount and stretches timelines.

4:35They add process when things feel chaotic and they debate libraries and design patterns as a form of procrastination. And so team B is going to have trouble in the future, whereas team A, the ones that have the high agency piece that we're talking about, the taste and just the ability to get things done quickly, those are the ones that are going to win. I agree with you. Yep. All right. You pick one. We have about nine minutes left. Let's talk about what to do about the AI. Oh, wait, wait, wait. Neil, you'll like this one. Before we do the slopocalypse. Slopocalypse. Okay, thank you. So Procter & Gamble, I was talking to someone recently.

5:10I don't know if we talked about this, but I think he, oh, he's going through a process right now. So he's selling his e-com company, okay? So Procter & Gamble is trying to buy his e-com company. And so he's talking to Procter & Gamble. He's like, you know, he's talking to his founder. He's like, you know, at Procter & Gamble, they own what? What brands does Procter & Gamble have? Remember? Dude, they have so many brands. Diaper brands like Pampers, Gillette. Okay. Toothbrush. Okay. Oral B. Oral B. Okay. Is Procter & Gamble. Yep. I'm blanking on brands, but let's see. Okay. Olay. Pantene. Tide, Downey, Charmin, Braun, Vicks, Crest.

5:53Okay. So a ton of brands, right? So guys, the owners of Crest, Tide, Downey, Procter and Gabble, they told a founder who they're in the process of buying their company right now that look, what we've learned over the years is we don't buy remote companies. And the founder is like, why don't you buy remote companies? They're like, we've tried buying so many of these remote companies, meaning that the culture is remote, it's remote work. And it doesn't work because when we buy them, there's no real culture, right? Versus when we buy the in-office companies, those are only ones that work for us. So they're saying, hey, from an M &A standpoint, this is not for everyone necessarily, but at least from what we've seen, the remote ones never work.

6:29And I think that's an interesting discussion point because you bought a handful of companies these past years, right? But most in-office, what's the percentage of in-office versus remote? And what are the differences that you've seen? Uh, so I, the biggest thing that I learned when in office versus remote, it's easier to bring people up to speed when it's in person versus remote. By far, I would say that's the biggest advantage because there's way more knowledge transfer that happens when people are next to you. Which is interesting. So you say, you say that watch Neil. So when you say there's way more knowledge transfer, doesn't that just mean the knowledge transfer in general is a lot faster?

7:08Yes. And you're seeing that the thing that's valuable about in-person is knowledge transfer from seasoned execs who have been doing this for a long time. It transfers to younger people way quicker than ever. Yep. I'll tell you, we just had a new senior brand manager for my YouTube start, right? And the way I'm like, I'm talking to him every day, but man, if we're in office, we'd be probably accelerating like four times faster. But I'm just like, I'm like not letting my grip off. I'm like, no, you're going to learn all these things. I'm bringing you with me. I'm going to make you great with AI as well.

7:39I'm going to make you great with content side. But I just think it's interesting that that was an insight from Procter & Gamble because they buy a lot of companies. They buy a lot of companies. So they like everything that's in-person versus non-in-person. Yeah, they've learned to no longer buy remote companies. It just doesn't work for them. Yeah. Yeah, and I wouldn't say that you can't build a remote company because there's a lot of successful remote companies that are worth a lot of money. It's more so you have to figure out the culture of your own company and works for you guys. And sometimes when you bring in something that's very different than what you guys are used to, it's just a disaster.

8:10Yep. Before we move to the AI slotpocalypse, so this one's a quick one, but 85 % of AI search results come from third-party sites. So originally, everyone's talking about making these listicles and publishing on their sites, right? But it's not hard for these LLMs to quickly figure out, oh, they're just publishing on their own site. So this was published from Aerofs, and he's like, we've analyzed thousands of AI search results across hundreds of brands. The content on your website accounts for roughly 15 % of why you get mentioned or cited in AI responses. The other 85 % comes from everywhere else.

8:40So partner sites, news articles, third-party roundups, Reddit threads, whatever. A lot of this, guys, is guest blog posting. A good chunk of it's guest blog posting back in the day. And Eric and I call this. Remember we talked about this like six months ago being like the problem with ChatGPT's algorithm is you can pull a list goal on your own website and get cited. and eventually this is going to go away because it's like the old way of spamming Google and stuff like that. I get it's different, but it's similar to how easy it was. And we're like, this isn't going to last. Yeah, it's too easy to game.

9:11And when it's too easy, then it is what it is. So this AI Slotpocalypse piece. So this is from Ali Miller. So this was a disagreement between Andre Karpathy, so this strong AI scientist, and also this guy Boris, who actually is the creator of Cloud Code. Okay, so they actually were disagreeing about this. So they were just saying, look, when the cost of generating anything at any quality level plummets and there is a there's still market leverage for attention, generators will take advantage of it. It's why one company is cranking out hundreds of reels slash TikToks per day. It's why another is cranking out 3000 podcasts per week.

9:48Code might improve, but the content and social and research worlds are rougher waters. I, too, predict a slotpocalypse this year. One that Moseri, I think that's the CEO of Instagram. I'm not sure if I'm pronouncing that right. And Presser and Daniel Ek from Spotify will be thinking about daily. The smart generators are already thinking about second order impacts. Examples for content creators. If everything is AI generated, maybe I should only post human things. If everything is AI generated, maybe I should have a separate community that's off socials. If everything is AI generated, maybe I should host more in-person events.

10:21And then if everything is AI generated, maybe I should make a social media app that is only for AI bots, right? So there's a lot of these AI if situations. The big question for me is less on quality because it will get there, right? So we talked about like, what was it? It's already a seven or eight out of 10 for these like advanced copywriting. And I think you and I have fairly high standards. So a lot of people is probably eight or nine, if I'm being honest. I'm thinking - Some people is probably even tens. They're like, wow, this is great because they couldn't write the copy themselves. Yeah, so I think we're pretty good at hard when it comes to copy, right?

10:49On psychology. But the big question for Ali at least is less on quality because it will get there. I'm thinking about whether people continue to engage, whether people will continue to engage with AI generated content, whether they build affinity for AI creators and at what level compared to humans and whether they rebel against it and at what speed. So that's the coming Slopocalypse. And I think you and I can both agree that there's marketers, especially we're going to take advantage of Slopocalypse. We are, but I believe this world is changing where people are fed up with AI content. A lot of the younger generation are stopping to use TikTok and platforms like that because they're overwhelmed with the ai content and we're seeing it um and it's just becoming really ridiculous and one a lot of what's created is just fake two uh people are just fed up with it so much so if you look at sora no one talks about sora and it's not doing that well do you know who uses sora my entire building the people who work in the building right they're like i was i was talking to one of the guys who's um one of the food runners and um he i was like what are you looking at on your phone because i hear all these noises right he's like check this out dude and he's like doing the Sora and he's like the picture is like of another employee that works in the building and they're like doing Sora's like making fun of each other I'm like so you actually use Sora too he's like oh my god it's so big blah blah blah so I think you and I are just out of touch no have you seen the recent articles on Sora it's probably the usage is down usage is down a lot I used it for like a day and that was it there's a big financial site that just wrote about Sora usage down where is it okay as of This is from AI Overviews.

12:21As of Jan 2026, the usage for OpenAI Store app has experienced a significant decline following a strong initial launch with reports of a 45 % drop in monthly activist stalls in January 2026 compared to the previous month. It's a massive drop. Did you see the graph where it shows Anthropic is clearly overtaking just OpenAI? Oh, Ramp published something. Okay, so Ramp published, they show the spend per company. Yeah, let's go back. Ramp is a credit card company that shows you where, Ramp is a credit card company where corporations can get a card just like they get a Visa card or Amex card and allows them to spend money for their corporations.

13:03Yeah, and thank you for that. Okay, so this guy, Ara, this is actually really good. You'll like this. So Ramp, he launched this vendor section where he shows vendor spend, right? Check this out. I'm going to pull up, let's pull up SEO and AEO intelligence. So this, because they can see spend for companies, right? So you can see over time, SEMrush, they were up here, like Q1 of 2024. And then they're kind of going down on SERP API because all these people are building on top of it. It's going up and then Profound's up here and they're doing a good chunk, right? And you can see market share, like SERP API is going up 10 % adoption rate.

13:36SEMrush was 73 % on these SEO tools. And then Ahrefs is 23%. I actually haven't, this is pretty cool. This is pretty cool. Right, for sure. I'll send it to you after. I knew I'd take a look at it. But they actually showed the difference between, check this out. So when you look at, oh my God, stop trying to sell me stuff. Okay. So when you look at generative AI, I think that's the one we'll click. Generative AI. Okay. So, oh my God, look at this. Who is this before? This is open AI. Look at this. Q1 2024. It's like 90%. Yeah. Also keep in mind the markets increase as well. So you can't just look at the bar, meaning someone dropped in revenue.

14:12Fair point. Eric's not trying to say that. Yeah. Fair point. So we're just, I mean, you know, market, this is just market share over time. You can see adoption year over year as well. But then you see who comes in here. You see Anthropic starts to really jump in here and it's going to continue to increase. And so our point of saying all this is that I think when we're talking about open AI, I find myself using the Cloud app and Cloud Code a lot more. And I find myself using ChatGPT a lot less now. I don't know about you. I don't know how you're using Gemini quite a bit. It seems like. I use Gemini quite a bit.

14:43I use chat GPT for health probably like for three minutes, no more, 10 minutes a day. For your health? For my health. I think it's amazing. Yeah. It tracks all my food to eat. My kids have this new thing. They started it in late December. I don't know if I ever told you or did I tell you? No. I know I told Mike. So my kids in public, I'm a pretty skinny person overall, will start pulling out my shirt and be like, look at this belly. So cute. and they put little fuzzies in my belly button that's funny what's a what's a fuzzy like a fuzzy like a cotton okay like a little like lint or whatever it is and they started they went from doing it at home i'm like what the heck so my daughter started doing it first i'm like where the heck did you learn this from so then my son starts doing because he's copying her she's older so then you know it started snowballing from there and i keep telling him to stop and i'm not one to like hit my kids or anything like that like i'm not gonna put them in a timeout for saying they look at your belly and like poking at it and stuff um and i'm pretty skinny like if if i wore a shirt you would see nothing i can pinch an inch so it's not really a belly um so then they started doing in public and i got fed up with it i'm like okay i'm gonna lose this pinch an inch so i started keeping track of claw not uh through chat gpt my daily calorie deficit because it's the easiest way to burn fat.

16:06No one would know this more than anyone else. Is that correct? So then from December 29th to what is today? Jan 30th because I was so fed up with it. I've dropped. I went from 131 to 126.4. Isn't it funny? All the time you spent losing weight instead of disciplining your kids. I tried trying to convince them. I couldn't do it. So it's just easy. I'm like, you know what? Forget this. I'm just going to get rid of my pinch inch. I probably have like another two pounds. So another two weeks and I'm done. Yeah. Okay. And then after I will not use chat GPT. And then you'll find something else to get you.

16:39But okay. The last thing we'll end off with here on the Slopocalypse piece is, you know, I think this is, you know, we're going to see a lot more of this. I think people like these conversations, right? And I get a lot of good comments on this podcast, but I think in-person events too. I think people making content saying this is 100 % human generated. I think that's going to do well. I think people making content in different languages. So I think the Slopocalypse, I think a lot of people are going to take advantage of it. But I do think, to Neil's point, a lot of people are fed up with it. And that's a good thing.

17:04I think it's good for people to be, go outside, right? Go touch grass or something, right? Yes. Yeah. Yes. People need to live normal lives and interact with other humans. That's the way to do well in today's world in business or anything. I think people are like forgetting this interaction. I saw something from Mark Andreessen, which was a really good interview. It was published somewhere on the internet. Lenny's podcast? Yeah, he's talking about how developers believe they can do product and design. Oh yeah, the Mexican standoff. Yeah, Mexican standoff. And how product and designers think they can do development and the other features as well.

17:37And I think he's very spot on. But you still need in an organization the people who are exceptional at development or the people who are exceptional at design because AI isn't there fully yet. And even if you think, okay, AI is going to be there and it's going to write everyone's copy or AI is going to do everyone's development. Well, if you can't figure out how to do it better than what everyone else is using and stand out, you're going to fail. And better at giving an example for marketing than I am for development because I'm not a developer. But in marketing, if AI is writing everyone's website copy and boosting conversion rates, that'll be the new norm.

18:15It won't convert as well because everyone sees highly optimized copy. You then have to go and figure out how to pivot and make your conversions better than everyone else. An example that everyone can relate to is if you look at ads before, ads before were purely or majority of companies would strive for Super Bowl quality ads. Would you agree with that? That's what people really wanted. Now, if you look at today's advertising on the social web, and even sometimes on TV, you're starting to see a lot more lo-fi stuff. Why? Because it converts better and people are tired of the overpolished stuff.

18:49And I think that's what's going to happen in AI in which you're going to have all these people using it for the same thing, you're still going to need humans that are the best in class at what they do. You combine them with AI, you're going to crush your competitors. All I'm going to say to end it is as long as you have a bias to action and you're curious, you will crush everyone around you. That's all I'm going to say. And we would like to hire you. So both of our companies are hiring people like you. So let us know and show us your bias to action by showing us some examples first. Just give us a random reach out, please.

19:20Yeah. Don't send us an email being like, You're doing this wrong. We want to know how we can do it better and show me a real example. Yeah. Or like just like if you want editing work, like do like one test edit, okay? It makes you stand out faster. But before we go, dude, does it irritate you? Because for me, I get so many editing emails on a weekly basis and none of them ever show any example. None. And if they do show example, it's example of some random other account. And it's like, you could have used AI and showed me an editing example of my own stuff. If you just go the extra mile, you're going to run circles around everyone.

19:51That's all we'll say. and we would love to work with you. All right, bye. Take care.

From the publisher

In this episode, hosts Neil and Eric break down the K-shaped future of software engineering, marketing, and white-collar work in the age of AI. They explain why senior talent is winning while junior roles struggle, how AI creates seven or eight out of ten outputs, and why taste, speed, and bias to action now separate winners from losers. The conversation covers remote versus in-office culture, AI content overload, the coming slop apocalypse, and why human judgment still matters. This is a must-listen for founders, marketers, engineers, and creators navigating AI-driven change.

Key Takeaways

• AI rewards senior talent and high agency

• Seven out of ten is the new baseline

• Taste and speed create unfair advantage

Chapters

(00:00) K-shaped future explained

(00:24) Seniors vs juniors hiring

(01:00) AI seven to ten gap

(02:22) Team A vs Team B engineers

(03:28) Why P&G avoids remote deals

(05:39) Marketing agencies and AI

(06:10) AI search citation shift

(07:10) Slop apocalypse debate

(12:23) OpenAI vs Anthropic usage

(16:57) Bias to action wins

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