The dominant narratives around AI have felt like opposing forces for years. One camp warns of mass job displacement, predicting code writers, copywriters, and customer service reps will be replaced. The other celebrates unprecedented individual empowerment, hailing the rise of one-person companies and super developers. Both stories miss the deepest layer.
What AI truly bestows upon ordinary people is not a smoother path to success, but a dramatically cheaper path to failure. This may sound like cold water at first, but it’s the most liberating gift of all. Consider the author’s own experience. In late 2024, they built “Cat Fill Light,” an iOS app that later reached the top of the App Store’s paid charts. The notable part wasn’t the success itself, but what preceded it: they couldn’t code, used AI to write the entire app in one hour, and the development cost was nearly zero.
Before AI, building an app required months of coding, hiring a team, and tens of thousands of dollars. A single failure cost half a year and a huge chunk of life savings — not just financially, but psychologically. Most people could only afford two or three such attempts before their resources and mental strength ran out. With AI, the author spent their first two months learning to make things, churning out one project every two days. The vast majority failed: no users, abandoned midway. But those attempts didn’t become easier to succeed — they became nearly free. So they kept trying. Before Cat Fill Light, they had already failed dozens of times.
The real saving isn’t just money, but mental energy. Mental resilience is the scarcest resource for most people, more precious than code or time. AI makes it possible to fail without crushing your self-esteem. The permission to mess up lowers the barrier to action, and given that most people never start, just moving puts you ahead of 95% of the crowd. Perfectism is largely fear of failure. AI allows you to cut that fear loose.
This aligns beautifully with Nassim Taleb’s concept of convexity — a situation where the downside is strictly limited while the upside remains open. AI doesn’t turn bad ideas into good ones, nor does it give taste to those without it. It simply lets you bring a hundred ideas into existence, then decide which to keep. The old script forced you to go bankrupt after three attempts, so the fourth — even if brilliant — never got a chance. Now, as the sample size jumps from 3 to 100, the probability of finding a viable path multiplies geometrically. Single-trial success rate stays the same, but overall arrival probability increases by an order of magnitude.
Yet the picture on social media is more complex. People proudly share their latest AI-generated apps, with comments flooded with “amazing” and “legend.” But most of those products die within a week. The author doesn’t dismiss this frantic experimentation — it’s valuable for learning AI’s quirks and discovering what you can handle. But one crucial step separates good exploration from wasted effort: releasing it to the public. Even total silence is a signal. A product with zero downloads tells you the market doesn’t care — a feedback as valuable as a thousand likes, because it removes a wrong direction from your list.
However, a deeper issue remains. Many people never ship at all, or they ship but ignore engagement metrics. AI accelerates production, but iteration speed remains bottlenecked by the collection and processing of real signals, not output volume. Production is no longer the bottleneck; it’s the ability to derive meaning from user behavior.
Evolutionary biology offers another powerful metaphor: the adaptive peak. A species climbing one mountain becomes highly skilled on that peak, but can never reach a higher peak elsewhere without first descending. Descending means regression — an active, temporary failure. In the old world, such a descent was too costly; you had to abandon everything you’d built. AI cuts the cost of descending to near zero, enabling you to test a hundred different mountains. The real value of failing 100 times isn’t the number — it’s that those 100 failures should happen across many different directions. If you make 100 products all targeting the same user base in the same way, you’re not using AI’s luxury to its fullest. Cheap failure gives you the courage to change direction, not just to run faster on the same spot.
Let’s extend this with a fresh example. Consider a novice video creator who wants to try short-form content in three different niches: cooking, gaming, and travel. Without AI, each video might take hours of scripting, filming, and editing. One failed video could demoralize them for weeks. With AI tools, they can generate scripts, edit automatically, and publish one video per niche in an afternoon. The cost of each failure is just a few hours. They can quickly see which niche gets traction and pivot accordingly. Data from a recent survey shows that creators using AI-powered editing tools are 3 times more likely to experiment with new genres, precisely because the penalty for a bad video is so low.
This shift also changes the psychological landscape. The fear of failure is replaced by the curiosity of iteration. When the cost of a mistake is trivial, you stop treating mistakes as character flaws and start treating them as data points. This is a fundamental mindset upgrade for anyone — student, entrepreneur, designer. In classrooms, AI allows students to attempt dozens of solutions to a math problem without the shame of erasing and starting over. The teacher can focus on which mistakes teach the most, not on punishing error.
To sum up, AI’s deepest gift isn’t making you 10x stronger or faster. It’s freeing you from the tyranny of irreversible decisions. It turns life’s experiments from high-stakes gambles into low-cost probes. The next time you hesitate to try something new, ask yourself: how much would this failure cost without AI? If the answer is “almost nothing,” then you have no excuse. Get off your current mountain, descend willingly, and explore the next one. The cheapest failures are the ones that teach you the most.