Enthusiasm is not a methodology. Run the numbers or move on.
A Forbes Tech Council post argues that AI produces value only after a stakeholder elaborates a specific process. One must perform financial and operational arithmetic. Then one decides whether to build the solution or abandon the initiative. Skipping the math is not an option.
This teaches basic capital allocation discipline. Force a cost benefit estimate before any prototype begins. That discipline prevents the sunk cost error of pouring more funds into failing experiments.
Forbes Tech Council contributors outline this framework. They do not spotlight a specific firm or executive.
Step 1: Choose one repetitive personal task. Estimate the minutes it consumes each week and multiply by four. Step 2: Assign yourself an hourly rate, even a modest one. Calculate the monthly cost of your own labor. Step 3: Find a consumer AI tool that addresses the task and note its monthly price. Write a single paragraph stating whether the tool saves enough time to justify the spend. Expected outcome: a one paragraph business case that either authorizes the experiment or defers it.