I'm probably going to get a lot of hate for this, but it needs to be said: your approach to roadmap AI is fundamentally flawed. We're all chasing shiny AI objects and forgetting the first principles of building great products. Here's the unpopular opinion that might just save your startup.
I’ve seen it a hundred times. A founder comes to me, eyes wide with excitement, talking about the latest paper from DeepMind or a new model that just dropped. They want to rebuild their whole product around it. My first question is always the same: “What problem are you solving?” Nine times out of ten, they can’t give me a clear answer. They’re in love with the tech, not the customer.
This is what I call “Shiny Object Syndrome,” and it’s a disease that’s killing startups. It’s the constant chase for the next big thing, the belief that a new piece of technology will magically solve all your problems. I’ve been there myself. In the early days of MovieLaLa, we got so caught up in the hype around recommendation engines that we spent six months building a complex system that nobody used. It was a painful lesson, but it taught me something I’ll never forget: technology is a tool, not a strategy.
The Siren Song of the New
Let's be honest, the temptation is real. You see a company like Perplexity AI raise a monster round, and you immediately think, “We need a conversational AI interface!” Or you see a demo of a new text-to-video model, and suddenly your roadmap is filled with “AI-generated video content.”
As an investor in companies like Anthropic, OpenAI, and Scale AI, I get a front-row seat to the bleeding edge. I see the demos that would make your jaw drop. The tech is incredible. It feels like magic. And that’s the problem. We get so mesmerized by the magic trick that we forget to ask if the audience actually wants to see it.
I remember when we were building RemoteTeam. This was before the big remote work boom, and we were creating tools to help distributed teams collaborate. Every week, it seemed like there was a new, hot collaboration tool on the market. One week it was all about asynchronous video messages. The next, it was about virtual reality meeting rooms. We could have spent years chasing these trends. But we didn't. We stayed focused on the one thing that mattered: making it easier for companies to pay and manage their remote employees. It wasn't sexy, but it was a real problem. And solving that real problem is what led to our acquisition by Gusto.
The Hidden Tax of Chasing Trends
Chasing shiny objects isn't just a distraction. It has real, tangible costs. And I'm not just talking about the engineering hours you burn.
First, there's the opportunity cost. Every month you spend building something your customers don't need is a month you're not spending building something they do. In a startup, that's a death sentence. You have a limited runway. You can't afford to waste it on science projects.
Second, it destroys team morale. Engineers want to build things that people use. When you're constantly shifting priorities and chasing the latest trend, it sends a message to your team that you don't have a clear vision. They get cynical. They stop believing in the mission. And then they leave.
Third, and most importantly, it distances you from your customer. The more time you spend in the echo chamber of tech Twitter and Hacker News, the less time you spend talking to the people who actually pay your bills. You start building for other founders and VCs, not for your users. And that's the beginning of the end.
How to Break the Spell: A Practical Guide
So how do you avoid the siren song of the shiny new toy? It’s not about ignoring new technology. It’s about having a framework to evaluate it. Here’s the simple, no-nonsense process I use, both for my own companies and the 200+ I’ve invested in.
Start with the problem, not the solution. I know, it sounds obvious. But you’d be shocked how many people get this wrong. Before you even think about technology, you need to be able to articulate the customer's pain point in excruciating detail. If you can’t do that, you have no business building anything.
Work backward from the customer experience. What is the ideal outcome for your user? What does success look like for them? Map out that perfect journey. Only then should you start thinking about what technology you need to make it happen. Sometimes, the best solution is a simple UI change, not a complex AI model.
Quantify the impact. Before you write a single line of code, you need to have a hypothesis about how this new feature will move the needle. Will it increase retention by 10%? Will it reduce support tickets by 20%? Put a number on it. If you can't, it's probably not worth doing.
Run a cheap experiment. You don’t need to build a full-blown product to test an idea. Can you fake it with a human in the loop? Can you build a simple prototype in a week? At MovieLaLa, before we built our fancy recommendation engine, we manually sent out personalized movie recommendations to a small group of users. It was a ton of work, but it taught us what people actually wanted, and it cost us almost nothing.
Tie everything to a core metric. Your company should have one, maybe two, North Star metrics. For RemoteTeam, it was the number of employees paid through our platform. Every single thing we did had to contribute to that metric. If a new feature, no matter how cool, didn't move that number, we didn't build it. It’s that simple.
This isn't about being a Luddite. It's about being disciplined. It's about remembering that you're not in the business of building cool tech. You're in the business of solving problems. The tech is just a means to an end.
A Tale of Two Startups: The Focused vs. The Distracted
This isn't just theory. I've seen this play out in my own portfolio. Let me tell you about two companies. I won't name names, but their stories are real.
Startup A was building a tool for sales teams. They had a solid product and a growing customer base. Then, the GPT-3 hype train left the station. The founders, both brilliant engineers, became obsessed with building a “fully autonomous sales agent.” They spent nine months and burned through almost a million dollars in venture capital trying to build it. The result? A clunky demo that barely worked and a core product that had been completely neglected. Their customers, tired of the bugs and lack of new features, started churning. The company ran out of money and died.
Startup B was in a similar space. They were also building a sales tool. When the AI hype hit, they took a different approach. Instead of trying to build a fully autonomous agent, they asked a simple question: “What is the most repetitive, annoying task our users have to do every day?” The answer was writing follow-up emails. So, they used AI to build a simple feature that suggested three different follow-up email templates based on the context of the sales conversation. It wasn't a moonshot. It wasn't going to get them on the cover of a magazine. But it solved a real problem. That one feature cut their churn in half and became their single biggest driver of new customer acquisition. They are now a thriving, profitable company.
The difference between these two companies wasn't the talent of their teams or the size of their funding rounds. It was their focus. Startup A chased the shiny object. Startup B solved the customer's problem.
The Unsexy Power of Boring Solutions
Here’s another unpopular opinion for you: the most successful products are often the most boring. They do one thing, they do it well, and they do it reliably. Think about the tools you use every day. Google Docs. Slack. Stripe. These aren’t flashy products. They’re workhorses. They solve a fundamental need in a simple, elegant way.
I’ve seen this pattern over and over again in my own investments. The companies that have generated the biggest returns for me weren’t the ones with the most futuristic technology. They were the ones that found a boring, unsexy problem and solved it 10x better than anyone else. They focused on the plumbing, not the fireworks.
One of my portfolio companies, for example, built a simple tool to automate compliance paperwork for small businesses. It’s not the kind of thing that gets you a fawning profile in TechCrunch. But they have thousands of happy customers who are willing to pay them a lot of money because they solve a real, painful problem. They’ve quietly built a nine-figure business while everyone else was chasing the AI hype cycle.
This is the mindset you need to adopt. Stop trying to build the future. Start trying to solve the present. The future will take care of itself.
Your Roadmap Is Not a Wish List
Look, I get it. It’s fun to dream about the future. It’s exciting to think about how AI is going to change the world. But your job as a founder is not to be a futurist. Your job is to build a business. And that means being ruthless about prioritization.
Your roadmap should not be a wish list of every cool technology you want to play with. It should be a strategic document that outlines how you’re going to solve your customer’s most pressing problems. Every single item on that roadmap should have a clear, direct line to customer value.
So, the next time you feel the pull of the shiny new object, I want you to stop and ask yourself three questions:
- What specific, painful problem does this solve for my customer?
- Can I prove that they actually want this before I build it?
- Is this the most important thing I could be working on right now?
If you can’t answer those questions with absolute clarity, then you need to walk away. It doesn’t matter how cool the technology is. It doesn’t matter if your competitors are doing it. It doesn’t matter if it will get you a round of applause from other founders.
Be the founder who has the discipline to ignore the noise. Be the founder who is obsessed with their customer, not with the technology. Be the founder who builds a real business, not a science fair project. Trust me, your bank account will thank you for it.
Frequently Asked Questions
Do I need technical skills to avoid 'shiny object syndrome' on your ai product roadmap?
Not necessarily. While technical understanding helps, the most important skills are clear thinking and the ability to break problems into smaller pieces. Many successful founders I've invested in started with zero technical background and either learned enough to be dangerous or found the right technical partner.
How do I measure success with this approach?
Pick one or two metrics that directly tie to your goal and track them weekly. Vanity metrics like page views or follower counts rarely matter. Focus on metrics that reflect real engagement or revenue impact.
How long does it take to avoid 'shiny object syndrome' on your ai product roadmap?
The timeline varies depending on your starting point and resources. For most founders, expect 2-4 weeks for initial setup and 2-3 months to see meaningful results. I've seen teams move faster when they focus on one thing at a time rather than trying to do everything at once.
What are the most common mistakes when avoiding 'shiny object syndrome' on your ai product roadmap?
The biggest mistake I see is overcomplicating things early on. Start with the simplest version that works, get real feedback, and iterate from there. Another common trap is copying what worked for someone else without understanding the context behind their decisions.