My son, who spends his free time on YouTube and Netflix, recently asked me why Blockbuster disappeared. To him, the idea of driving somewhere to rent a movie and then driving back the next day to return it sounded almost fictional. I tried to explain the joy of wandering the aisles, the serendipity of stumbling onto something unexpected, and the Friday night ritual. He paused and said, “That sounds like a lot of work just to watch something.” He wasn’t wrong.
In that moment, I realized he wasn’t living through a paradigm shift. He was living after one had already been absorbed, normalized, and forgotten. What once felt like infrastructure now felt like an inconvenience. What once felt magical now felt inefficient. What was left were nostalgic memories of the good old days, which in hindsight weren’t that good. That’s how paradigm shifts work.
Thomas Kuhn, in The Structure of Scientific Revolutions, argued that progress doesn’t move in straight lines. It moves in frameworks. We operate inside a model of how the world works until anomalies pile up. Eventually, the model cracks. What was once fringe becomes obvious. What was once obvious becomes quaint.
Paradigm shifts are tectonic movements beneath markets, technologies, and human thought. They begin quietly. At first, they look like toys, edge cases, or niche academic pursuits, such as electricity before Edison, the internet before Netscape, or AI before foundation models. The signals are scattered. The believers are few. Then suddenly, insight, courage, timing, and economics converge, and the world bends.
At their core, paradigm shifts challenge mental models. They force us to question not just what we know, but how we know it, and that is deeply uncomfortable. Humans are wired for coherence. We build internal maps of how the world works and defend them, often unconsciously, because rebuilding from scratch is cognitively expensive. The old paradigm isn’t just a technology, product, or business model. It’s an identity.
This is why smart people miss obvious shifts. It’s not a failure of intelligence. It’s a feature of how we manage complexity. A paradigm shift doesn’t begin with consensus. It begins with dissonance. The old way no longer fits the new data. Resistance follows. Incumbents defend. Early adopters experiment. Only after enough people learn, unlearn, and relearn does the new model become conventional wisdom. In hindsight, the end-state looks inevitable. In real time, the process is messy and controversial.
The best founders hold two conflicting beliefs at once. They respect the current system enough to understand why it works. They disrespect it enough to believe it doesn’t have to, and there are better ways. This tension is uncomfortable. Most people resolve it by collapsing into one of two sides: defending the status quo or dismissing it entirely. Founders who drive paradigm shifts live in the tension. They don’t resolve it. They exploit it.
Netflix didn’t just offer convenience. It reframed access. Blockbuster optimized inventory and retail footprint. Netflix optimized latency and selection. One improved the existing model. The other changed the model. Once you see the new frame, the old one feels like friction.
For the past two decades, SaaS defined enterprise software. We moved from on-prem to the cloud, from licenses to subscriptions, and from desktop installs to browser workflows. It was a massive shift that unfolded methodically, year by year, vertical by vertical, and function by function. Now AI arrives. Some are declaring that SaaS ate software and now AI will eat SaaS. Maybe, but paradigm shifts are rarely that clean.
We’ve seen this pattern before: e-commerce would obliterate physical stores, mobile would kill desktops, and crypto would replace banks. Sometimes the wave crests and recedes. The hardest part of a paradigm shift isn’t predicting it and envisioning the end state. It’s navigating it while it’s incomplete. Move too early, and you burn capital on infrastructure that isn’t ready. Move too late, and you defend yesterday’s margins. AI may move fast at the interface and slow at the architecture. It may augment before it replaces. It may feel revolutionary on the surface and evolutionary underneath. We don’t know yet, and that uncertainty is beautiful and the point.
The only certainty is that certainty itself is fragile. The ground always feels stable right up until it moves, and we realize we are on unstable ground. More than ever, we need the humility to question deeply held assumptions and the audacity to build toward futures others still dismiss. Whether you are a founder of a native AI company or an established SaaS company, buckle up as you navigate this upcoming paradigm shift.