Session library

Generation AI - Preparing Gen  Alpha for an AI‑Driven Future

Matt Britton · May 2, 2025

consumer researchgen alphayouth culture
0:02 – HOST:
Hey everyone, welcome to another edition of AI Insiders with AI Marketers Guild. We have a rare treat today because we don’t often have repeat guests. When I saw Matt Britton—my old boss at MRY and a long-time acquaintance, now CEO of Suzy and a serial author—I was excited to learn he has a new book on AI and Generation AI.

0:30 – HOST:
It’s one of the few business books these days that I can’t wait to read. I still get comments about your last session—the insights on synthetic audiences and using AI data to inform corporate strategy were unforgettable and incredibly useful. Thanks for coming back.

0:55 – MATT:
Thanks for having me, David. I’d prefer this to be a discussion. Let me start by sharing a bit about my background for those who are unfamiliar, and then we can dive into the book. I’ve spent my career helping big brands navigate change and disruption. In the early 2000s, disruption meant the internet, driven by a generation that saw the world differently.

1:15 – MATT:
I spent a lot of time convincing brands to embrace the internet and market to young audiences. I remember being at Hershey in Pennsylvania, where they insisted we would never market our brand on computers.

1:37 – MATT:
Then around 2005, I helped brands navigate social media. I was focused on marketing to college students and teens when Facebook emerged. As it expanded to everyone, I guided brands through that shift—even registering Visa on Twitter early on.

1:58 – MATT:
In 2009–2010, disruption meant the iPhone. For Gen Z, the iPhone is almost like an appendage. It transformed how people communicate, transact, and build relationships—often replacing face-to-face interactions and even contributing to challenges like depression. For them, not having an iPhone would be as disorienting as us losing electricity during a blackout.

2:21 – MATT:
I recall the blackout 20 years ago in the city. At first, it felt like a block party without electricity, but after a few hours, chaos ensued. Every disruption starts with dismissals from brands, while early adopters—especially tech companies—embrace the change.

2:44 – MATT:
For example, when mobile became mainstream around 2010–2011, Facebook shifted its ad strategy to mobile despite market skepticism. That foresight proved invaluable.

3:09 – MATT:
Now we’re in the era of AI, the most transformational disruption I’ve seen in my 25-year career. Recent data shows AI’s capacity doubles every seven months—that’s like moving from the first iPhone to an iPhone 15 in seven months instead of 15 years. It’s dizzying, especially for businesses trying to keep up.

3:33 – MATT:
I experienced this when AI, via ChatGPT, broke into the mainstream. I run a venture-funded software company called Suzy, which does consumer research for major brands. When AI emerged, I pushed my engineering team to integrate it. They struggled, making me realize AI isn’t just another feature—it forces a complete rethink of our business and product strategy.

3:50 – MATT:
I discovered you can build AI without being an engineer. I took on that challenge, and 12 to 18 months later I’ve built digital products without prior coding experience, investing the time to truly understand AI. It’s an ongoing journey that has opened my eyes to new possibilities.

4:12 – MATT:
That journey led me to write my second book. My first book, published 10 years ago when David and I worked together at MRY, was called Youth Nation. It argued that for the first time, youth culture was not counterculture.

4:31 – MATT:
In the ‘60s through ‘90s, youth culture was largely counterculture—think Woodstock, punk rock, and grunge in Seattle. Youth had to be disruptive because corporate media dictated their voice. By 2015, with social media’s rise, young people finally had a megaphone to shape culture themselves.

4:51 – MATT:
Fast forward to today and virtually every new trend starts with young people before spreading wider. That formed the basis of Youth Nation. With all these changes and AI’s immense power, I decided it was time for a second book.

5:16 – MATT:
My new book, Generation AI, releases this upcoming Tuesday. It explores how Gen Alpha—the first AI-native generation—will know no world without artificial intelligence. Their experience of technology will be entirely different.

5:39 – MATT:
This shift raises major questions about the future of education, work, parenting, relationships, healthcare, and society overall. Each chapter examines current trends and how they will evolve in the coming years.

6:02 – MATT:
Many think using AI to find a recipe is all it can do, but that’s just the tip of the iceberg.

6:28 – MATT:
In my research, I’ve looked at scenarios like AI reinventing healthcare—potentially eliminating roles like radiologists within a year—and how AI might reshape parenting as kids form deep bonds with chatbots. Tragically, one teenager’s suicide has already prompted a lawsuit claiming a chatbot contributed to self-harm.

6:48 – MATT:
I also cover the future of work and the need to future-proof ourselves. The reality is, if you’re not engaged in creative problem solving or in designing and managing new technologies, you risk being left behind.

7:10 – MATT:
Let’s talk about education. Parents worry about skyrocketing college costs and a future with fewer jobs. I believe the answer lies in transforming how we educate our children.

7:30 – MATT:
Traditional American education has relied on memorization and regurgitation—methods that worked in a knowledge-based economy where storing facts was key. But since information is now at everyone’s fingertips and AI outperforms experts in many tasks, rote learning is becoming obsolete.

7:50 – MATT:
We need to emphasize critical thinking and problem-solving—the ability to decide which problems are worth solving and how to use AI to do it. For instance, instead of mastering every camera setting to take a great photo, you only need to know the right angle and context; algorithms can handle the technical details.

8:10 – MATT:
Over time, technical skills will diminish in importance. It’s more vital to know where to focus your creative energy. Specialists will still be needed for exceptional cases—just as you might hire a professional photographer for a wedding despite most photos being taken on smartphones.

8:33 – MATT:
Now consider agencies. If your business model charges for human hours, it may not be sustainable when AI can produce the same output in seconds. Brands will eventually ask why pay for five hours when 30 seconds will do.

8:55 – MATT:
Even market research is shifting. Where consulting firms once charged tens of thousands for deep analyses, AI can now generate detailed reports in minutes. High-stakes consulting may remain, but routine analysis will be automated.

9:17 – MATT:
This brings up a broader question: What will Generation AI do for a living? It’s hard to predict exact careers, but skills in problem solving and creativity will be crucial. Those who can identify and tackle challenges using AI will thrive.

10:05 – MATT:
Take healthcare as an example. Appointment scheduling might soon be managed by AI chatbots instead of human receptionists. Routine tasks like evaluating test results may no longer require doctors, and robotics could eventually perform surgery.

10:30 – MATT:
As companies become more efficient through automation, capital will be redeployed to create new jobs. Exactly what these roles will entail remains to be seen.

10:51 – MATT:
Consider my brother-in-law, an ER nurse. I believe that 20 years from now he’ll still be in high demand and grateful for choosing a path that machines can’t completely replicate.

11:15 – MATT:
Before I open up for questions, I want to note that many senior professionals here—marketing strategists, content creators, and more—are investing in learning about AI. That commitment to learning sets you apart.

11:38 – MATT:
Now, let’s invite some questions.

21:32 – PARTICIPANT:
Sorry, nice to meet you, and thank you, David.

21:51 – PARTICIPANT:
I completely agree with everything you’re saying, and I’m very much looking forward to your book. I’ve been talking with industry leaders about AI and how they’re integrating it into their businesses and lives. We’re at a revolutionary turning point that many still struggle to grasp.

22:14 – PARTICIPANT:
My analogy is simple: just as we evolved from AOL portals to Google searches, we’re now moving toward interacting with ChatGPT. There’s a significant gap between those who adapt quickly and those who resist change.

22:35 – PARTICIPANT:
Where once we retrieved information from Excite, Yahoo, or Google, now we can build custom chatbots that deliver timely, accurate information without the hallucinations.

22:55 – PARTICIPANT:
The potential here is enormous, yet many choose not to see it.

23:16 – PARTICIPANT:
People often avoid change because it’s uncomfortable.

23:36 – PARTICIPANT:
I keep thinking about the technology adoption curve—innovators, early adopters, late adopters, and laggards. For something as monumental as AI, everyone should strive to get ahead. I’ve even built my own agency using custom AI bots, which is in high demand. Earl will join us in a few weeks to show us how we did it.

24:02 – DEVELOPER:
I just want to add a quick comment. I’m a product developer, and I created an AI chatbot for indexing content. What’s fascinating is that by tweaking the prompts, you can completely change the product’s function. Coming from a programming background, I’ve learned that AI requires a different mindset—you can’t simply issue detailed instructions and expect the same results. Understanding how AI works and setting realistic expectations is a crucial skill for the future.

24:27 – HOST:
Well said. I agree completely. Matt, as always, your insights are fantastic. I’m excited to read the book and join the book launch. I look forward to seeing more of your work.

24:53 – HOST:
Thanks for joining us and for your support. The book is available on Amazon and wherever books are sold—please share your thoughts.

25:21 – MATT:
Yeah, we’ll do that. Excited for this one.

25:45 – HOST:
See you soon, Matt. Thanks everyone, and best of luck.