đź§Ş Experimentation Is the New Planning
The old assumption was that clarity comes before action. In an AI-driven world, clarity is often the result of action. Experimentation is no longer a side activity. It is how we learn, decide, and move forward with confidence. As AI accelerates feedback and lowers the cost of trying, traditional planning models begin to strain. Long timelines, rigid roadmaps, and premature certainty struggle to keep up with a landscape that changes weekly. What replaces them is not chaos, but a different kind of discipline, one grounded in structured experimentation. ---------- WHY PLANNING USED TO WORK ---------- For decades, planning made sense because change was slow. Tools evolved gradually. Roles were stable. Once a process was defined, it could remain relevant for years. Investing time upfront to analyze, forecast, and document felt responsible and efficient. Planning also created psychological safety. It reduced uncertainty. It allowed leaders to feel in control and teams to feel prepared. The plan itself became a signal of competence, even when reality inevitably diverged from it. In slower systems, this worked well enough. Deviations were manageable. Adjustments were incremental. The cost of being wrong was often absorbed quietly over time. AI disrupts this balance. When capabilities shift rapidly and access expands overnight, plans become outdated faster than they can be approved. The comfort planning once provided now creates friction instead of alignment. ---------- WHY AI BREAKS TRADITIONAL PLANNING ---------- AI compresses the distance between idea and outcome. What once required weeks of coordination can now be tested in hours. This speed exposes a flaw in heavy planning. By the time a plan is finalized, the assumptions behind it may already be obsolete. More importantly, AI introduces uncertainty that cannot be resolved upfront. We often do not know what is possible until we try. Use cases emerge through interaction, not prediction. Value reveals itself through iteration, not documentation.