What students are teaching us about the future of AI and Healthcare

Last week, our CTO Enrique Alcazar Garzas came across Anthropic’s new report on how university students are using Claude, their AI assistant. We expected to see the usual mix of AI curiosity and academic shortcuts, but what was found instead was a snapshot of the future.

According to the data, students aren’t using Claude to cheat the system. They’re using it to think better.

They're brainstorming essay ideas, debugging code, analyzing legal arguments, and asking Claude to challenge their assumptions. The most engaged students aren’t just looking for quick answers—they’re collaborating with AI to push their thinking further.

This struck a chord, not only because it shows a mature, evolving relationship with AI, but because it parallels something Omniloy has been seeing in healthcare.
‍

The healthcare parallel

In healthcare, we talk a lot about how AI will replace or enhance tasks—reading scans, predicting diagnoses, writing notes. But what’s often missed is how AI, when used well, can support the kind of deep, reflective, human thinking that professionals crave time for.

Think about a clinician who no longer has to spend 40% of their time on documentation. Or a researcher who can use AI to synthesize mountains of data and spend their energy on interpretation and application. The same shift we’re seeing in education—AI taking on the “grind” and enabling higher-order work—is starting to happen in healthcare too.

And just like students are becoming more AI-fluent in their studies, the next wave of healthcare professionals will arrive with AI literacy baked in. Not only will they know how to use these tools, they’ll expect to use them. They’ll ask: Why aren’t we using AI to save time, personalize care, or catch what human eyes might miss?
‍

What this means for leaders

As someone who cares deeply about how technology and human care intersect, this report is an indication of real hope.

It makes one think: Are we ready for this new generation?

Are we building healthcare systems that support not just the adoption of AI, but a culture of collaboration between human expertise and artificial intelligence?

Are we creating space for this next generation to use their full potential—not just their clinical skills, but their digital instincts?
‍

The future Is collaborative

The students using Claude today will be the doctors, nurses, researchers, and policy leaders of tomorrow. The way they use AI now is shaping how they’ll approach problems in the future with curiosity, creativity, and a willingness to work with machines, not against them.

It’s not just a tech trend. It’s a mindset shift.

And if we’re paying attention, we can learn a lot from it.

Would love to hear your thoughts. How are you seeing AI shift the way people work in your field? Are we ready for this new kind of collaboration.