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🤔 WE WANT YOUR HONEST OPINION!
We want to better understand what people are TRULY trying to accomplish when it comes to AI so we can make our products better. We know it’s broad and there are so many different lanes, but if you had to pick one of the 2 options below, which one would you choose?
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⚖️ You're Saving Time With AI. So Where Is It Going?
Research published in early 2026 found that the average small business worker saves 5.6 hours per week using AI tools, with managers saving closer to 7 hours. Those are meaningful numbers. Across a year, 5.6 hours per week is over 280 hours: roughly seven full working weeks returned to professionals who use AI consistently. Most people who see those numbers nod in recognition. The time savings feel real. There's less friction on specific tasks, drafts come faster, research compresses, routine work moves quicker. And then someone asks where those 280 hours actually went, and the conversation gets complicated. ------------- Context ------------- The productivity paradox of AI is one of the least discussed aspects of the current wave of adoption. Time saved on tasks and felt experience of having more time are different things, and for a significant number of professionals, they're not converging the way the numbers suggest they should. The explanation isn't mysterious. Time savings don't automatically translate into felt margin unless the saved time has somewhere deliberate to go. If the work expands to fill the capacity AI creates, if new obligations emerge to absorb the recovered hours, if the time savings get distributed across thirty small tasks rather than accumulating into meaningful blocks, the felt experience of the week doesn't change even when the productivity data does. This is the absorption problem. Time savings get absorbed rather than accumulated, and the absorption is usually invisible. No single thing consumed the saved time. A hundred things each took a little. The net experience is: I'm using AI, the tasks are definitely faster, but somehow the week is just as full. A consultant described this pattern with unusual precision. She tracked her time carefully before and after adopting AI tools and found that the data confirmed the savings: about four hours per week in reduced task time. But over the same period, she had taken on two additional client projects, joined a committee she wouldn't previously have had time for, and expanded her content output to take advantage of the new production capacity. The four hours were real. They were also gone, immediately and invisibly, into expanded scope rather than into margin.
⚖️ You're Saving Time With AI. So Where Is It Going?
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What Success Actually Buys You
Most people think success is about money. It's not. Money is just what buys you options. I've worked hard for decades. Not because I fell in love with the grind, but because I fell in love with what the work could create. Every uncomfortable conversation. Every risk. Every time I wanted to quit but didn't. None of it was just to make more. It was to own my time. To be there for the people I love. To create memories instead of regrets. To have the freedom to say yes to what matters and no to what doesn't. Don't chase success because you want to look successful. Chase it because one day you'll realize time is the only thing you can't earn back. Work hard. Do the uncomfortable things. Become the person capable of creating the life you want. Because real success isn't measured by what you own. It's measured by how fully you get to live. Question for you: If you had complete freedom over your time one year from now, what would you spend more of it doing... and who would you spend it with?
The Illusion of AI Productivity
The important points are a) when you reach a peek its immediately degrading b) the the last "peek" is a platform beyond which AI cannot become better. Poor business that has such "good enough" limitations. And for me the most threatening real life experience is, that we are currently losing the best old world engineers who still outperform AI in terms of doing what we really need and the quality the final product finally has and still will improve over time, whereas wie AI you never know when the next "restart fom scratch will happen again".
The Illusion of AI Productivity
AI = Hobby Shipping?
Software factory", "AI software factory", "Agent factory", "Factory engineering".... Seems like 'factory' is the new buzzword in AI & development. Warp, Cursor, Microsoft... all in one week used the same metaphor for their position in the market. Industrialising software development with AI. The picture's right for the most part. Agents writing, merging, shipping, faster and cheaper than any team could, just like a factory line and if you run an enterprise, this should be in your roadmap. But hang on. Every version of the pitch is about the conveyor belt: more, faster, fewer people. Not one of them mentions the 'boring bits' that make a factory a business. Does anyone know what to build, and why? Is what comes off the line any good? Is anyone checking? Can you tell what it's worth? You know - the reasons you build a factory in the first place. Everyone's selling the fast factory line. Nobody's selling the part that tells you that the line was worth building. Forget about that part and it's not a factory. It's a very expensive hobby that happens to ship code.
AI = Hobby Shipping?
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