I’m going to say something that might make you uncomfortable: your AI-driven design strategy is probably garbage.
There, I said it. As an investor in over 200 companies, including some of the biggest names in AI like Anthropic, OpenAI, and Scale AI, I’ve seen it all. I’ve seen founders burn through cash on half-baked ideas, and I’ve seen teams create groundbreaking products that change the world. And I can tell you, the difference between the two often comes down to how they approach design.
Too many founders are stuck in the past, using outdated methods for AI-driven design, and it’s kneecapping their business. They treat tools like Midjourney and DALL-E like a vending machine for pretty pictures, and they wonder why they’re not getting the results they want. It’s time for some tough love. It’s time to talk about the silent killers of creative output and what the top 1% are doing differently.
The Uncomfortable Truth About Your AI Design Strategy
Let’s be honest. You’ve probably spent hours, maybe even days, wrestling with AI image generators. You’ve tried every prompt you can think of, and you’re still not getting what you want. The colors are off, the composition is weird, and the whole thing just feels…soulless.
I get it. I’ve been there. When I was building my second company, MovieLaLa, we were trying to create a whole new visual language for movie discovery. We were a small team, and we didn’t have the budget for a huge design department. So, we turned to AI. And at first, it was a disaster. We were getting generic, cookie-cutter images that looked like they came from a stock photo website. It was frustrating, and I was ready to give up.
But then, I had a realization. The problem wasn’t the AI. The problem was us. We were treating the AI like a tool, not a partner. We were giving it vague instructions and expecting it to read our minds. We were abdicating our creative responsibility.
The Four Horsemen of Bad AI Design
I see the same mistakes being made over and over again. I call them the Four Horsemen of Bad AI Design:
The Vending Machine Mindset: This is the most common mistake I see. Founders treat AI image generators like a vending machine. They put in a prompt, they get an image, and they move on. They don’t iterate, they don’t refine, and they don’t push the boundaries of what’s possible. They’re content with “good enough,” and they wonder why their brand looks like every other startup out there.
The "I'll Know It When I See It" Approach: This is a close cousin of the Vending Machine Mindset. Founders who fall into this trap have a vague idea of what they want, but they can’t articulate it. So, they just keep generating images, hoping that one of them will magically be “the one.” This is a huge waste of time and resources, and it’s a recipe for mediocrity.
The Tool Fetish: I’ve seen founders get so obsessed with the latest and greatest AI design tool that they forget about the fundamentals of good design. They spend all their time learning the ins and outs of a particular tool, but they don’t know the first thing about color theory, composition, or typography. They’re like a carpenter who has all the best tools but doesn’t know how to build a house.
The Fear of the Blank Canvas: This is a more subtle, but no less deadly, mistake. Some founders are so intimidated by the power of AI that they don’t even know where to start. They’re afraid of making a mistake, so they stick to safe, boring designs. They’re afraid of looking foolish, so they don’t take any creative risks. And in the end, they create something that’s completely forgettable.
What the Top 1% Do Differently
So, what’s the secret? What are the top 1% of founders doing differently? It’s actually pretty simple. They have a strong creative vision, they use AI to augment their creativity, they have a deep understanding of the technology, and they iterate relentlessly.
Let’s take a look at my portfolio company, Scale AI. They’re one of the fastest-growing companies in the world, and they’re a great example of how to do AI-driven design right. They have a clear vision for their brand, and they use AI to create a consistent and compelling visual identity across all their marketing materials. They don’t just generate random images; they have a team of talented designers who work with the AI to create something truly unique.
Another great example is Hugging Face. They’re building the definitive open-source platform for machine learning, and their brand is all about community and collaboration. They use AI to create a fun and approachable visual style that reflects their values. They’re not afraid to be playful and experimental, and it shows in their work.
My Playbook for AI-Driven Design
So, how can you start thinking like the top 1%? Here’s my playbook for AI-driven design:
Start with a Vision, Not a Tool: Before you even think about opening up Midjourney or DALL-E, you need to have a clear vision for your brand. What do you want to communicate? What emotions do you want to evoke? What’s your unique point of view? Once you have a strong vision, you can start thinking about how to use AI to bring it to life.
Become a Prompt Poet: The art of AI-driven design is the art of the prompt. You need to learn how to talk to the AI in a way that it understands. This means being specific, being descriptive, and being creative. Don’t just say “a picture of a cat.” Say “a photorealistic picture of a fluffy, orange cat with green eyes, sitting on a velvet cushion in a sun-drenched library.”
Embrace the Imperfections: AI is not perfect. It’s going to make mistakes. It’s going to generate weird, unexpected images. And that’s a good thing. Some of the most creative ideas come from accidents and imperfections. Don’t be afraid to embrace the chaos and see where it takes you.
The Human-AI Partnership: The best AI-driven design is a collaboration between humans and machines. The AI can generate ideas and options at a scale that’s impossible for humans, but it’s up to you to provide the creative direction, the taste, and the storytelling. Don’t think of the AI as a tool; think of it as a creative partner.
It’s Time to Level Up
Look, I know this is a lot to take in. And I know it’s not easy. But if you want to build a successful business in the age of AI, you need to get this right. You can’t afford to be stuck in the past. You can’t afford to be mediocre.
So, I’m challenging you. I’m challenging you to throw out your old playbook and start thinking differently about AI-driven design. I’m challenging you to be bold, to be creative, and to be relentless. Because in the end, that’s what separates the winners from the losers.
Now, go build something amazing.
Frequently Asked Questions
What's the most common pushback you get on this?
People often push back by citing exceptions or edge cases. And they're usually right that exceptions exist. But building a strategy around exceptions rather than patterns is a losing game for most founders.
What experience informs this perspective?
This perspective comes from over a decade of building companies in Silicon Valley, two successful exits (RemoteTeam to Gusto, MovieLaLa to Gfycat), and investing in 200+ startups including Anthropic, OpenAI, and Scale AI. I write about what I've lived.
Do all experts agree with this view?
No, and that's fine. The best ideas in business are often contrarian. I share my perspective based on my experience and data, but I encourage you to seek out opposing viewpoints and form your own conclusions.