''' I’m going to tell you something that might get me in a little trouble. The way most people are talking about Pika Labs is completely wrong.
I’ve sat in boardrooms and listened to pitches from hundreds of AI companies. I’ve put my own money into giants like Anthropic and Scale AI. I’ve seen what makes a company a rocketship and what makes it a dud. And the story being spun about Pika in the mainstream tech press? It’s missing the point.
They talk about it as a fun toy for making viral videos. A competitor to Runway or maybe another feature for Adobe Premiere. That’s like saying the first iPhone was just a better iPod. It completely misunderstands the tectonic shift that’s happening underneath.
As a founder who has been through two exits and now invests in the next generation, I see Pika not just as a product, but as a symptom of a much larger change. For marketers, founders, and creators, understanding this change is not optional. It’s the difference between riding the wave and getting crushed by it.
The Hype is Real, But Not for the Reasons You Think
Let’s get one thing straight: the hype around Pika is justified. The ability to generate high-quality video from a simple text prompt is, frankly, insane. I remember just a few years ago when we were struggling to get clean image generation. Now we’re talking about entire cinematic sequences prompted into existence. When my team at RemoteTeam was acquired by Gusto, we were just starting to scratch the surface of using AI for content. Now, the game is completely different.
But the real story isn’t the technology itself. It’s the democratization of creation. This is a theme I’ve seen play out again and again. When MovieLaLa was acquired by Gfycat, we were all about making GIFs accessible. We saw that when you lower the barrier to creating something, you don’t just get more of the old stuff. You get entirely new forms of expression.
That’s what’s happening with Pika. It’s not just about making it cheaper to produce a commercial. It’s about enabling a single marketer to create a dozen different ad variations in an afternoon. It’s about a startup founder being able to visualize a product video without hiring a massive production crew. I’ve personally invested in over 200 companies, and I can tell you that the ones who move fastest in the early days are the ones who win. Tools like this are pure, unadulterated speed.
Where Marketers Are Getting It Wrong
I see a lot of marketers getting excited about Pika for all the wrong reasons. They see it as a way to make cheaper, faster versions of the same old content. A 30-second spot for social media. A quick product demo. That’s thinking too small.
Here’s the truth: your audience is already drowning in a sea of mediocre content. More of the same, even if it’s generated by an AI, isn’t going to move the needle. Where Pika becomes a weapon is in its ability to generate hyper-personalized, context-aware video at scale.
Think about it. Instead of one generic ad, you can create a hundred different versions, each tailored to a specific demographic, a specific pain point, or even a specific time of day. You can A/B test creative concepts at a velocity that was previously unimaginable.
- For e-commerce: Imagine generating a unique video for every single product in your catalog, showing it in different contexts, used by different types of people. A user searches for "running shoes for flat feet"? The ad they see features a video of a runner with flat feet, talking about the support.
- For B2B: Instead of a generic case study video, you can generate a version where the AI-generated spokesperson addresses the specific industry of the viewer. An email campaign can include a personalized video that mentions the recipient's company by name.
- For creators: You can create endless variations of your content for different platforms. A long-form YouTube video can be instantly repurposed into a dozen different TikToks, each with a slightly different hook or visual style.
This isn’t about replacing human creativity. It’s about augmenting it. The creative director of the future won’t be storyboarding a single video. They’ll be designing systems of prompts and variables to generate thousands of them.
The Downside No One is Talking About
Of course, it’s not all sunshine and rainbows. With great power comes great responsibility, and a whole lot of new problems. The ease of generating video content is going to lead to an explosion of noise. Your audience’s attention, already a scarce resource, is about to become even more fragmented.
And then there’s the trust issue. We’re rapidly entering a world where it’s impossible to distinguish between what’s real and what’s generated. For brands, this is a minefield. One wrong step, one piece of content that feels deceptive or inauthentic, and you can destroy years of brand equity overnight.
This is where I believe the human element becomes more important than ever. Your brand’s voice, your story, your values—these are the things that AI can’t replicate. In a world of infinite, AI-generated content, the only way to stand out is to have a point of view. To be authentic. To be human.
I wrote about this in my book, "Becoming Top 1%". The principles of building a successful career or a successful company are the same. It’s about providing unique value. And in the age of AI, that unique value is your humanity.
My Advice: Don't Be a Spectator
So, what’s the takeaway for marketers? Don’t just watch this trend from the sidelines. Get your hands dirty. Sign up for Pika. Start experimenting. Break things.
Don’t just try to replicate what you’re already doing. Think about what was previously impossible. What content would you create if you had an infinite budget and an army of video producers at your disposal? Start there.
The companies and marketers who will win in this new era are not the ones who have the best technology. They are the ones who have the best ideas. The technology is just the enabler.
I’ve seen this movie before. With the rise of the internet, with mobile, with social media. Every time a new technology emerges, there’s a period of chaos and uncertainty. But the winners are always the ones who embrace the change, who experiment relentlessly, and who focus on providing real value to their audience.
Pika Labs is not just another tool. It’s a wake-up call. The way we create and consume content is about to change forever. The only question is whether you’ll be the one driving the change, or the one left behind. ''' '''
Beyond the Prompt: Engineering Serendipity
Most marketers think of AI generation as a linear process: you write a prompt, you get a video. Simple. But the real magic, the stuff that separates the amateurs from the pros, happens in the space between the prompt and the output. I call this engineering serendipity.
Back when we were building MovieLaLa, we didn’t just give people a tool to make GIFs. We created a community. We built features that encouraged users to remix and build upon each other's creations. That’s how you get unexpected, viral hits. You don’t design them; you create an environment where they can emerge.
It’s the same with generative video. Don’t just prompt for "a video of a person running on a beach." That’s boring. That’s what everyone else is doing. Instead, think like a director. Think about the lighting, the camera angle, the mood. But more importantly, think about the system.
Here’s a concrete example. Let’s say you’re a food delivery startup. You could generate a thousand videos of different dishes. Or, you could build a system that does the following:
- Input Data: Your entire menu, with tags for ingredients, cuisine type, dietary restrictions (gluten-free, vegan, etc.), and even calorie count.
- Contextual Data: Time of day, weather, local events. Is it lunchtime on a rainy Tuesday? Is it Super Bowl Sunday?
- Generative Logic: A set of prompt templates that combine these data points into a specific video request. For instance:
(time_of_day_prompt) + (weather_prompt) + "a delicious" + (dish_name) + "from" + (restaurant_name) + "perfect for" + (event_prompt). A rainy day might trigger prompts for "warm and comforting" soup. A sunny Friday might prompt for "a refreshing salad to start your weekend." - Dynamic Assembly: The AI generates not just one video, but a series of short clips: the sizzling pan, the fresh ingredients, the final plated dish, a person happily eating. These clips can then be dynamically reassembled into countless variations.
This is what I mean by engineering serendipity. You’re not just creating a video; you’re creating a machine that creates videos. You’re building a system that can react to the real world in real-time, generating content that is always relevant, always contextual, and always surprising.
The New Creative Workflow
This shift from one-off creations to generative systems has profound implications for the creative workflow. The traditional model of brainstorming, storyboarding, shooting, and editing is dead. It’s too slow, too expensive, and too rigid for the new world.
The creative team of the future will look more like a team of software engineers. They will be prompt engineers, system architects, and data scientists. Their job won’t be to create a single perfect ad, but to design and manage the systems that generate thousands of them.
This is a huge opportunity for a new breed of creative talent. The people who will thrive in this new environment are the ones who can blend artistic vision with technical expertise. They are the ones who can think in terms of systems, not just stories. They are the ones who can speak the language of both the artist and the algorithm.
I’ve seen this firsthand in the companies I’ve invested in. The most successful ones are not the ones with the biggest marketing budgets. They are the ones with the smartest, most agile creative teams. They are the ones who are not afraid to experiment, to fail, and to learn. They are the ones who have embraced the chaos of this new generative era.
The Future is Not Generated, It's Curated
As the cost of generating content approaches zero, the value of curation will skyrocket. In a world where everyone can create anything, the real skill will be in knowing what to create. It will be in having a unique point of view, a distinct aesthetic, and a deep understanding of your audience.
AI can generate a million different images of a cat, but it takes a human to decide which one is funny, which one is cute, and which one will resonate with a specific online community. AI can generate a thousand different video scripts, but it takes a human to know which one will make people laugh, which one will make them cry, and which one will inspire them to take action.
This is the ultimate irony of the AI revolution. The more powerful the technology becomes, the more valuable our own humanity becomes. The more we outsource our creative tasks to machines, the more we will crave the authentic, the personal, and the human.
So, my final piece of advice is this: don’t be afraid of the machines. Learn to work with them. But never forget that your greatest asset is not your ability to prompt an AI, but your ability to be human. Your experiences, your emotions, your values—these are the things that no machine can ever replicate. And in the age of AI, they are your ultimate competitive advantage. '''
Frequently Asked Questions
How has this view evolved over time?
My thinking on most topics has changed significantly over the years. Early in my career, I held many conventional views that experience proved wrong. I try to update my beliefs when the evidence changes.
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.