The Productivity Miracle Nobody Can Prove

Every few months, a new headline claims that AI has unlocked 10x productivity. The evidence, however, is still very much missing. Tools, from ChatGPT to Copilot, built by Microsoft and Gemini by Google, promise the same thing: work faster, achieve more, multiply productivity. And yes, productivity has improved significantly. Compared to even two years ago, how we write, code, research and execute has fundamentally changed. Tasks that once took hours now take mere minutes. But is it 10x? Not even close. 

Because starting or doing something faster isn’t the same as finishing better. If productivity had truly increased tenfold, we would see it clearly: teams shipping dramatically more, companies scaling faster, and outcomes multiplying across the board. That level of acceleration isn’t visible at scale. What’s actually happening is more nuanced. AI didn’t remove work. It reshaped it. 

A developer can now generate code in seconds, but still spend hours debugging, validating, testing and integrating it. We’ve moved from doing to deciding. Earlier, efforts went into creating something from scratch. Now, it goes into choosing between AI-generated options, refining them, and taking ownership of the final output. Decision-making is slower, harder, and deeply human. 

The Illusion of Productivity

There is also this new trap: the illusion of productivity. More ideas, more drafts, more decisions. It feels like progress at times, but often, it’s just motion without meaning. We aren’t just saving time, we’re creating more noise. And that noise has a cost. A cost that most people don’t give any weight to. The real bottleneck today isn’t execution. Its clarity, knowing what to build, what to ignore and what to ship. That’s where AI still falls short. 

So, yes, productivity has improved meaningfully. But not because we’re working 10x faster. But because we’re starting faster, exploring wider and iterating cheaper. The real shift isn’t directly in output. It’s in judgment. The winners in today’s era won’t be the ones who use AI the most. Rather, they’ll be the ones who choose faster, cut ruthlessly and ship decisively.