I'm looking for an AI to take dictation for my texts, to write a book faster!

AI promises productivity at a scale we have never seen before. You can create faster, plan faster, and execute faster than ever. But faster is not always better. When productivity becomes the goal, we risk missing the point. The goal is not to produce more, it is to produce meaningfully.And AI is showing us that productivity is not about volume, it is about value. The next era of productivity is not measured in how much we can do, but in how clearly we can think about what we are doing. ---- The Old Definition of Productivity ---- For decades, productivity was defined by efficiency. How much output could you produce with a given amount of time or energy. It was about throughput, quantity, speed, and optimization. That model made sense in an industrial world, where repetition and consistency created value. But AI has changed the equation. It no longer rewards those who can simply produce more. It rewards those who can decide what actually matters. The people who thrive with AI are not those creating the most output. They are the ones creating the most alignment between output and intention. Imagine someone in real estate using AI to generate listings, emails, and social posts. They might triple their volume overnight, but if none of it deepens trust or connects with their ideal clients, it is just noise at scale. AI exposes a truth that was always there. More is not more. Better thinking is. ---- The New Definition: Thinking as the Multiplier ---- If productivity used to be about execution, AI shifts it toward cognition. Your thinking becomes the highest leverage skill. AI can now handle the heavy lifting of drafting, formatting, or summarizing. That means your advantage no longer comes from how fast you can type, but how deeply you can see. In this new model, productivity is about the quality of the prompts you give, the clarity of the context you define, and the discernment you bring to the results. 1. Better questions lead to better answers. 2. Clearer context leads to smarter systems. 3. Intentional direction leads to meaningful outcomes.