I still remember the exact date I generated my very first AI output: February 5, 2023. It was just a simple image, but it set me on a path I never could have anticipated. Two years later, on February 19, 2025, I’m looking back at more than 250,000 AI-generated and published outcomes—everything from logos to video content, poems to research papers. I’ve explored creativity in forms I hadn’t even considered before. And if there’s one thing that’s become clear through all of this, it’s that we’ve stepped into a radically new era of technology—one that dwarfs anything we’ve seen in the past few decades.
There’s a certain excitement in the air, and I’m reminded of how it felt during previous technological waves: the personal computer revolution, the birth of the internet, the rise of smartphones. Yet this particular wave feels different. It’s not just another piece of tech we can adopt at our convenience; it’s a fundamental shift in how we generate ideas, content, and entire experiences. In the span of two short years, I’ve seen more breakthroughs than in any ten-year cycle of earlier innovations. It’s mind-boggling, and it’s only the beginning.
The Scope of AI-Generated Outcomes
One of the most striking aspects of generative AI is the sheer range of what’s possible. Over these two years, I’ve generated and published a staggering variety of outcomes: websites, web apps, podcasts, chatbots, market research reports, branding assets like logos and illustrations, business plans, advertisements, books, motion graphics, video content, music, lyrics, poems, research papers, screenplays, theatrical scripts, digital artwork, photographs, infographics, essays, product designs, email campaigns, marketing strategies, philosophical frameworks, and even structured learning courses.
The breadth of AI generation isn’t just impressive in volume—it represents a paradigm shift in creativity itself. It blurs the lines between disciplines and makes it clear that AI isn’t just a tool; it’s a collaborator, a medium of expression, and an extension of human curiosity. The speed at which I could take an idea and turn it into something tangible changed how I approach problem-solving and creative expression. It forced me to think differently—not in terms of “what can I create?” but “what can I explore?”
My History in Technology
To give these observations some context, I’ve been in the tech world for a long time. My journey started with IBM in 1984, right at the dawn of the personal computing era. I went on to co-found E2open, where we harnessed cloud technology to revolutionize supply chain operations. Over the decades, I’ve seen—and been part of—some of the biggest shifts in how we work, communicate, and innovate, from the early days of the internet to the expansion of mobile computing.
Yet, in all those years, I’ve never witnessed anything quite as transformative as generative AI. The leaps we made in past decades were often significant, but each was ultimately just another step in bringing digital capabilities into everyday life. Generative AI, however, feels like a new frontier—one that’s rewriting the rules of content creation, creativity, and collaboration. It isn’t just changing how we work; it’s changing the nature of what we can generate, imagine, and discover. And that’s exactly why these last two years have felt like an entirely new chapter in my career.
Curiosity Over Curriculum
If there is one message I want to leave you with, it’s this: Curiosity over curriculum.
For decades, technology followed a set pattern: a new tool would emerge, and society would adopt it through structured processes. Whether it was learning how to use Microsoft Office, adapting to social media platforms, or even understanding how to build websites, the path was always defined by curriculum. There was a right way to do things, best practices to follow, and a learning curve that was laid out in a structured format. This was true for everything—work, school, business, and even how we interacted with new technologies. We adapted to the tools, not the other way around.
AI changes that. For the first time, we are not following a prescribed set of instructions. There is no curriculum to tell you exactly how to use it, because AI is not static. It’s dynamic, evolving, and adaptable in ways that no prior technology has ever been. The only real approach to understanding and leveraging AI is through curiosity.
That’s why I encourage you to embrace curiosity over curriculum. Forget about set procedures, best practices, or waiting for someone to tell you how to use AI the “right way.” Instead, follow your curiosity. Ask questions. Experiment. Explore. If you don’t know where to start, start by asking your AI assistant—whether it’s ChatGPT, Perplexity, Gemini, or Claude—about something you’re curious about. It doesn’t have to be related to work or business; it just has to be something that sparks your interest. Let that curiosity drive your engagement with AI.
This shift is more difficult than it sounds because we have been conditioned toward curriculum for over a century. From school schedules to office hours, from how we write resumes to how we conduct meetings, everything has been about structured learning and adherence to predefined norms. AI breaks that system. It rewards curiosity, creativity, and an exploratory mindset. If you want to stay ahead, if you want your children to be prepared for what’s coming, the best advice you can give them is to nurture their curiosity. Let them ask more questions. Let them explore. Let them learn in a way that is entirely their own.
Curiosity was always present, but it was a minority force. Now, it must become the majority. AI will shape the future, but it is human curiosity that will determine how we use it. The choice is simple: adapt through curiosity, or risk being left behind by a technology that no longer waits for structured adoption. The future belongs to those who explore, not those who follow a curriculum. And the best way to begin is to ask yourself: what am I truly curious about today?