AI’s Greatest Potential Might Be Ideation

Most conversations about AI begin with automation. How much time can it save? Which tasks can it perform? How much work can it help people complete?

Those questions matter, but they focus primarily on doing existing work more efficiently.

AI may offer something even more valuable: helping us consider possibilities we might not have identified on our own.

That is the strength of AI as an ideation tool.

Ideation is the process of generating and exploring possible ideas before deciding which ones deserve further attention. A team developing a product, for example, might consider a limited number of customer needs, features, market positions, or business models. Time, attention, and resources naturally constrain how many possibilities people can seriously explore.

AI can help expand that range.

It can rapidly generate alternative concepts, suggest different approaches, identify patterns, challenge assumptions, and present possibilities that give people new directions to investigate. The value is not that every generated idea will be useful. Many will not be. The value is that AI can increase the number and variety of possibilities available for consideration.

That distinction matters.

Some opportunities are not rejected because they are bad. They are missed because no one considered them. By reducing the effort required to generate and explore alternatives, AI can help individuals and organizations look beyond the most familiar or obvious choices.

But generating more ideas is only useful if those ideas are evaluated carefully. AI-generated concepts can be inaccurate, repetitive, impractical, or based on flawed assumptions. Ideation should therefore be treated as the beginning of the process, not the end.

The real value comes from combining AI’s ability to generate possibilities with human judgment about which possibilities are worth pursuing.

So when evaluating AI, ask more than whether it saved time.

• Did it help people consider an idea they had not previously identified?
• Did it challenge an assumption?
• Did it reveal another way to approach the problem?
• Did it expand the range of options before a decision was made?

Automation helps us do known things faster.

Ideation can help us discover what might be worth doing next.

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