Starting a new business once meant committing a lifetime of savings, assembling a team of experts and having the patience of a saint to endure years of uncertainty. Today, it can begin at 4 a.m. on a random Thursday from your couch.
Don’t know pricing? AI will suggest one
Struggling with branding? AI will design a logo
Unsure about structure? AI will make one for you
In many ways AI has fundamentally changed what it means to ‘start’. It has reduced costs, saved time and removed technical barriers. But in doing so it has also created a new problem. Execution is no longer the barrier. And that’s exactly why standing out has become harder.
What Is The Actual Problem?
The real gap today is not execution, it’s positioning. When every founder uses similar prompts, tools and workflows, outputs begin to converge. What once felt like differentiation quickly becomes the new normal. A simple scroll through platforms like Product Hunt makes this visible. You will find dozens of AI-powered products solving nearly identical problems, often described in nearly identical language.
Earlier when execution was the constraint not everyone could build. Not everyone could launch. But today those constraints have largely disappeared, which means more people can build and launch. And when supply increases faster than the attention, the real challenge shifts from building a product to making people care about it.
This shift is also reflected in how companies are actually using AI. According to McKinsey’s State Of AI 2025 report, nearly two-thirds of respondents are still in the pilot phase when it comes to scaling AI across their organisation. While AI is widely used for surface-level applications, its deeper integration into core business functions remains limited. In other words many are using AI, but very few are leveraging it effectively.
At the same time, the startup ecosystem is being reshaped at an unprecedented pace. What was once a differentiator is now a default layer.
How Did AI Shift From Being A Differentiator To A Competitive Baseline?
The answer lies in how AI is being used. Many founders and teams have started treating AI as a decision-maker rather than what it actually is -a tool.
AI can generate answers but it cannot define whether the question itself is right.
It can possess information, but it doesn’t have judgement, context or lived experience.
Which means that if everyone relies on it in the same way, it doesn’t create originality, it standardizes thinking. This is why so many AI-powered products feel similar. Not because the founders lack capability but because they are all building on a similar framework and solving broadly defined problems instead of clear positioning.
Another layer to this issue is distribution. Even if a product is well-built, it still needs attention. AI can help build the product but it doesn’t guarantee visibility. In a crowded market, where multiple products solve similar problems, distribution, narrative and brand become equally important. And these are the areas where generic ideas fail and actual creativity and strategic thinking come into play.
How Can Businesses Stand Out?
To solve this problem instead of a technological shift we need to think about a strategic shift:
Define a specific problem: Businesses should be driven by a specific, clearly defined problem instead of a broad, generic use case.
Have a clear point of view: AI generated ideas are based on data rather than experience. However, a particular problem needs a particular solution which comes from a human perspective.
Focus on positioning: Focus on making the product visible to the public rather than just building it.
Final Thoughts
AI has changed what it takes to start a business. It has made building faster, cheaper and more accessible than ever before. But in doing so it has made differentiation harder. Because when everyone has access to the same tools, the advantage no longer comes from what you build but from how you think about what you’re building. AI can make you move quickly but it cannot decide what makes you different.