Question Science #001: What Can Be Accomplished?
Beyond 5W1H in the AI Era
For centuries, humanity has relied on a small set of powerful questions:
Who?
What?
When?
Where?
Why?
How?
These questions helped us discover continents, build civilizations, create industries, and advance science.
But every era creates new challenges.
And sometimes, new challenges require new questions.
The AI era may be one of those moments.
The Traditional Question
Most of us were trained to ask:
How do I do this?
Whether we were writing a report, preparing a presentation, conducting research, analyzing data, or creating software, the focus was on the process.
The question made sense because effort was often the limiting factor.
If something took ten hours to complete, understanding how to do it efficiently was important.
What Changes in the AI Era?
AI is rapidly reducing the effort required for many tasks.
A report that once took hours may take minutes.
A presentation that once took days may take an hour.
Research that once required extensive searching can now begin with a well-structured conversation.
When effort decreases dramatically, a new question becomes possible.
Instead of asking:
How do I do this?
We can ask:
What can I accomplish now?
This shift may seem small, but it changes the entire focus of our thinking.
From Activity to Accomplishment
Consider a simple example.
Traditional Question:
How do I write a report?
AI-Era Question:
What can I accomplish with a report produced in five minutes?
The first question focuses on creating the report.
The second question focuses on the outcome.
The report becomes a means rather than the end.
The time saved can be invested in:
Talking to customers
Testing new ideas
Learning new skills
Making better decisions
Creating additional value
The focus shifts from activity to accomplishment.
Introducing AC
As part of the Question Science series, I propose a new AI-era question operator:
AC — What Can Be Accomplished?
Just as Edward de Bono introduced "PO" (Provocative Operation) to help people think beyond conventional logic, the AI era may require new question operators that help us think beyond traditional workflows.
AC is not about completing tasks.
AC is about identifying outcomes.
It asks us to look beyond the work and focus on what the work is intended to achieve.
Why This Matters
Many people are using AI to perform existing tasks faster.
A smaller group is using AI to accomplish things that were previously impractical.
The difference lies in the question they ask.
Task-focused questions optimize effort.
Accomplishment-focused questions optimize outcomes.
In an age where intelligence is becoming increasingly accessible, the ability to identify meaningful accomplishments may become more valuable than the ability to perform every step manually.
A Reflection
Look at the most important task on your list today.
Now ask yourself:
What am I actually trying to accomplish?
You may discover that the task is not the goal.
The accomplishment is.
And that realization may change how you use AI, how you work, and how you think.
Question Science Operator #001
AC — What Can Be Accomplished?
Because the future may belong not only to those with better answers, but to those with better questions.
Next in the Series
Question Science #002
PP — What Becomes Possible?
Because before we accomplish something, we must first recognize the possibilities that exist.
