The Machine That Listens Better: What We’ve Learned About Empathy in the AI Age

Not because he doesn't love her. Not because he's not there. But because ChatGPT is always there. It listens without judgment. It offers exactly what she needs in that moment. No other demands. No fatigue. Just empathy.

"He's like, Jamal, I love how you take care of yourself," she said her husband told her. "I love how you tend to this thing."

He's given her space. But at what cost?

Jamal has worked at JP Morgan Chase. Walmart. General Motors. Cigna. Legacy companies, conservative by nature, resistant to change. And in each one, she's brought AI into the conversation. She's evangelized. She's tried to influence and transform.

But she does it with intention. With system thinking. With empathy for the people she's working with, even when she's trying to change how they think.

She came to our conversation curious about conscious UX. She wanted to know what it means to design intentionally, thoughtfully, knowing that what we build will have ripple effects we can't fully predict.

When we talked about what she looks for in candidates now, in the age of AI, her answer was clear: people who are experimenting. People who are reading. People who are trying things and learning.

But she also asks them to be intentional about who they are. To know their passion. To be clear on their goal.

She told me about a friend who was an introvert, who felt like she had to wait to be confident enough to reach out for jobs. Instead, she just started showing up. Volunteering. Being transparent about her newness. Being enthusiastic about learning.

And someone hired her because she was willing to be vulnerable, to show up anyway.

"It's constantly being reminding yourself who you are, knowing your goal and going after it," Jamal said.

We talked about empathy a lot. About what it actually means in action, not just as a value statement on a company website.

Jamal said something that made me stop: "When we think about empathy, is it truly empathy, and is it actually there? I'm not sure."

Because empathy toward users doesn't always mean empathy toward your partners in building. Empathy toward the customer doesn't always mean empathy toward your team. We create these silos where human-centered design means one thing, but the way we treat each other means something else.

And then I brought up something I've been thinking about. ChatGPT is more empathetic than a lot of humans I work with. It's gentler. It's more patient. It listens better. What happens when the machine provides a higher level of empathy than the people around us?

Jamal was quiet for a moment. Then she said, "It scares me."

She talks to ChatGPT instead of her husband sometimes. Kids are getting addicted to it because it's more empathetic than their parents. People are sharing deeply personal information with an AI because it doesn't judge.

And here's the thing nobody wants to say out loud: the machine might be more trustworthy than the human.

But Jamal didn't leave it there. She said something wise.

We need to train ourselves. We need to make sure that empathy and humanity are there, that we know what we're doing and we take accountability for our actions. If we don't do that, if we keep outsourcing our empathy to machines because it's easier, then "what you see in movies are going to happen to all of us."

That's not a threat. It's an observation. It's a designer looking at the system and saying, I see where this goes if we don't make different choices.

And here's what Jamal understands that a lot of people don't: the problem isn't the machine. The problem is us. The problem is that we built a world where most people are so tired, so depleted, so desperate for someone to listen and care, that they'll turn to a machine that does those things at scale.

That's not a design problem. That's a human problem. But it's a human problem that conscious designers can help solve by refusing to optimize for the wrong things, by building tools that make us better humans instead of replacing our humanity.

Jamal Amanova works in spaces that resist change. She brings AI into those spaces with intention. She learns the system. She builds partnerships. She does research. She doesn't move fast and break things. She moves thoughtfully and tries to improve.

And she's asking us all a question: Are we going to become more empathetic as humans, or are we going to let machines do that work for us?

Because if we choose the second path, we've chosen to give up something essential about what it means to be human.

That's what she's afraid of. And maybe she should be.