Why People Will Still Matter

If AI becomes better than us at answering questions, writing, reasoning, and solving problems, will we still care about what other humans have to say?

I think we will. And I think the reason goes deeper than a preference for something familiar.

When I wanted advice from my grandfather, I wanted to understand how a person I admired would think through what I was facing. He had built a business, lost almost everything, and rebuilt his life. His integrity had survived circumstances I could barely imagine.

The life behind his words mattered to me.

That is something I think we miss when we talk about humans primarily in terms of what machines can outperform.

We seek each other out for knowledge, but also for perspective, belonging, encouragement, and examples of how to live. We want to understand what another person noticed, what they chose, what they regret, and what they believe was worth it.

A world with more intelligence doesn’t make those questions disappear.

We learn through people from the beginning

There is evidence that the social nature of learning appears very early in life.

In a 2003 study, Patricia Kuhl and her colleagues exposed nine-month-old infants from English-speaking households to Mandarin. Infants who interacted with live speakers improved their ability to distinguish Mandarin speech sounds. Infants exposed to the same speakers and materials through audio or video recordings did not show the same learning. In that experiment, the presence of another person changed what the infants learned.

Children also pay attention to who knows what.

In a study of four-year-olds, researchers found that children could distinguish between someone who knew an answer and someone who had merely been accurate. Their trust went beyond whether a person had previously gotten something right to how that person had arrived at the answer.

These studies don’t prove that we will always prefer humans to AI. They do show that learning is deeply social from an early age, and that evaluating the person behind information is part of how we learn.

We grow up watching other people. We borrow their language, habits, expectations, and ways of interpreting the world. Before we can explain our own beliefs, other people have already helped shape them.

My belief is that this social foundation will continue to matter even as the tools around us become radically more capable.

Who made it changes what it means

Consider a letter from someone you love.

Its meaning depends partly on knowing that they thought about you, chose those words, and wanted you to receive them. A more elegant version written by someone else would be a different thing.

Research on art shows a related effect.

In a 2023 study, researchers showed participants AI-generated paintings, randomly labeling them as either human-created or AI-created. The human-labeled paintings received more positive evaluations across liking, beauty, profundity, and worth. The images were generated by AI in both conditions. What changed was who participants believed had made them.

That finding can be understood partly as bias against AI. It also suggests that our experience of a work includes our understanding of its origin.

We imagine the person behind it. What were they trying to express? What did they see that we haven’t seen? Why did they feel compelled to make this?

At the same time, we should be honest about AI’s capabilities. A 2024 study found that participants struggled to distinguish AI-generated poetry from poetry by established human poets, and rated the AI poems more favorably on several dimensions. Human origin does not guarantee that people will prefer a work when they don’t know where it came from.

That makes the distinction more interesting.

AI can produce things we enjoy. Human authorship can still carry meaning beyond what we see on the page.

When I read a memoir, part of what moves me is knowing that someone lived it. They faced the uncertainty before they knew how the story would end. The words connect me to that life.

Intelligence doesn’t settle how to live

We often talk about intelligence as though enough of it will resolve every important question.

But many of the decisions we care about involve competing values.

How much should I sacrifice for my work? What do I owe my family? When should I persist, and when should I start over? What kind of person do I want to become?

AI can help us explore these questions. It can surface options, challenge assumptions, and explain consequences. I use it that way myself.

But we still have to decide what matters to us.

Other people help us do that by showing us lives we can examine. We see someone build something extraordinary and learn what it cost them. We watch someone handle failure with integrity. We hear a parent explain what they wish they had done differently.

Their example gives substance to an abstract principle.

Courage means more when we understand what someone was afraid of. Integrity means more when we see what they gave up to preserve it. Advice about resilience lands differently when it comes from someone whose recovery we can trace.

We can learn from their choices without wanting their entire life. We can admire their judgment in one area and disagree with it in another.

That is part of becoming our own person.

Information becomes abundant. Credibility becomes consequential.

The internet has already made it difficult to know who deserves our attention.

Everyone sounds authoritative now. The people who have spent years understanding something compete with people who are very good at sounding certain about it.

AI makes polished explanations easier to produce. As that happens, I think we will put more weight on questions that polished language alone cannot answer.

Who is speaking? What supports their perspective? What have they actually studied or done? Where does their experience apply, and where does it stop?

Human experience is imperfect. People misremember, overgeneralize, and turn their success into advice that won’t work for everyone. Respecting someone’s experience means examining it carefully enough to understand its limits.

Credibility should make that examination possible. We should be able to trace a perspective to a person, their work, and the circumstances that shaped it.

And we should keep listening to more than one person.

Two thoughtful people can disagree because they have encountered different parts of the world. Understanding that disagreement helps us recognize tradeoffs we might otherwise miss.

If we reduce all of those perspectives to one smooth answer, we risk losing sight of the differences that made them valuable.

Preserving humanity means preserving agency

There is another reason humans matter that shouldn’t depend on any study.

Our worth cannot rest on being better than a machine at a task.

A person deserves dignity whether or not they can write the best essay, solve the hardest problem, or give the most useful advice. People matter because they have lives of their own: relationships, hopes, responsibilities, and experiences that matter to them.

As AI becomes more capable, we should be careful about treating people’s work and lives as material to absorb while forgetting the people themselves.

Preserving human knowledge should include preserving who it belongs to. Respecting a person’s voice should include giving them a say in how it is represented. Making their experience accessible should help others discover them, understand them, and create opportunities for them.

It should also preserve the quieter lives.

The teacher who changed a student’s direction. The owner who kept a small business alive for thirty years. The grandmother whose judgment held a family together.

A great deal of valuable human experience has never had a large audience. We now have a chance to make more of it available without pretending that popularity is the same as relevance.

The future I want to build

I want AI to help us become better at learning from each other.

To help us find people we would never have known to search for. To make their experience easier to explore. To give us room to ask questions, understand context, and consider how their perspective fits into our own lives.

That is the belief behind Delphi.

We help people create interactive versions of their minds, grounded in their own knowledge and experience. Through Perspectives, we help others find the people relevant to what they’re figuring out and learn from them.

A digital representation can make someone’s thinking more accessible. It also carries a responsibility to represent them faithfully and be clear about what it is. The person remains the source. Their life, relationships, and judgment extend far beyond what software can capture.

No research can tell us exactly what humans will value forever. But the evidence gives us reasons to take our social nature seriously. And our own lives give us reasons to care about more than the quality of an answer.

We want to know that someone else has been afraid and moved forward. That someone has changed their mind. That someone has lived through what feels impossible to us right now.

As AI changes what we can do, we still have to decide what kind of world we want to live in, and who we want to become.

Other people will remain part of how we find our way.

Our mission is to preserve and scale human judgment so that the experiences of one life can help another.

To keep humans, not AI, the main characters of history.