Why Human Questions Matter More As AI Gets Better At Answers

Why Human Questions Are About More Than Getting Answers

You might think of questioning as something you do because you need an answer. Robertson takes a much broader view. He describes humans as a questioning species and argues that questions help people understand who they are, what they want, and what they might do differently. As AI becomes increasingly capable of handling the information-gathering part of the process, it is important to recognize that knowing something and knowing what deserves to be questioned are two different abilities.

The distinction is easy to see in the workplace. AI can explain why sales might be declining, summarize employee feedback, or generate ideas for a new product. A person still has to consider whether the obvious explanation is the right one, whether an assumption is shaping the analysis, or whether an important perspective has been overlooked. Questions such as “What am I missing?” or “What would change my mind?” are valuable because they push people to look beyond the first answer.

How Human Questions Give Curiosity Direction

Curiosity and questioning are closely connected, which is one reason Larry’s research interested me. My own work has focused on what keeps people from being curious, including fear, assumptions, technology, and environment. Larry’s work looks at what happens when people begin asking better questions. When we spoke, we talked about how naturally those ideas overlap. Curiosity may make you want to know more, but questioning helps you decide where to go next.

That becomes especially important with AI. It is easy to ask for an answer and stop there. Curiosity keeps the process going. You might ask why something happened, what assumption you are making, what you have overlooked, or what else could be true. AI can either satisfy curiosity quickly or give people a way to keep exploring. The difference often comes down to the questions they continue to ask.

How Human Questions Can Lead To Meaning

One of the more compelling ideas Robertson and I spoke about is how questioning is tied to meaning. Questions do more than help people solve problems or gather information. They can help people examine what they care about, what they value, where they want to contribute, and why something matters to them. Questions such as “What am I learning?”, “Who benefits from what I do?”, “What do I want to create?”, or “Where can I make a difference?” can move the conversation beyond productivity and toward a deeper understanding of what gives work significance.

As AI takes over more tasks, people may need to become more intentional about where they derive meaning from their work and how that meaning may change. Questioning can become part of that process because it helps people reconsider what still feels significant when the activities that once defined their expertise or contribution begin to change.

Why Human Questions Matter When AI Responds So Quickly

A 2025 study from Carnegie Mellon University and Microsoft Research looked at how 319 knowledge workers used generative AI in 936 real work situations. The researchers found that people who had more confidence in AI reported using less critical thinking. They also found that AI changed where people used their critical thinking. Instead of doing as much of the work themselves, they spent more time checking the information, deciding whether it was useful, and figuring out how to apply it.

That makes good questions even more important. AI can give you a convincing answer to a weak question or build on an assumption you never stopped to challenge. Using AI well may depend on knowing when the answer makes sense, what might be missing, and what question to ask next.

How Leaders Can Encourage Better Human Questions

Organizations often reward people for having the answer. Leaders are expected to know what to do, and employees may worry that asking too many questions makes them look unsure. Robertson’s work suggests the opposite. Asking a good question can show that someone is paying attention and thinking beyond the obvious.

Leaders can help by making it normal to question assumptions and speak up when something does not make sense. Asking, “What are we missing?” or “Is there another way to look at this?” can lead to better decisions. As AI takes on more routine tasks, people who know when to question an answer may become even more valuable.

Human Questions May Become More Valuable As Answers Multiply

Robertson’s argument comes at a good time. AI is making answers easier to get, while people may be spending less time with ideas that require deeper attention. That does not mean people are losing the ability to ask good questions, but it helps explain why human questions matter more as AI gets better at answers. Questions help people challenge assumptions, make connections, and find meaning in what they do. As answers become easier to get, knowing what to ask next may be what matters most.