The Better AI Gets at Talking to Us, the More Important Human Connection Becomes

25 September 2026
student speaking with an AI mental health bot
7–10 minutes
student using AI as a mental health therapist

AI adds an interesting new dimension to the conversation. We can now ask a chatbot a question at any time, talk through something that is bothering us or use it to help put our thoughts into words. For someone who is unsure where to start, that can be useful. It makes information more accessible and can help someone take the first step towards the right support.

But there is a difference between having somewhere to type our thoughts and having a relationship with another person. Human connection involves things that are difficult to replicate. A colleague checks in after a hard day, or a programme leader notices that a student who normally gets involved has gone quiet. Sometimes it’s just sitting with someone when neither of you knows what to say, or knowing that somebody will remember what you told them last week.

At mindhamok, we’re exploring how AI could support our own services, so we’ve had to think carefully about this. In student mental health, we think AI earns its place when it helps someone reach the right human support sooner, and gets things wrong when it becomes a substitute for it.

Think of a student in accommodation abroad at 2am, unsure whether what they’re feeling is homesickness, a hangover or something more serious. They often don’t know what help exists, or whether their problem is “big enough” to ask for it. That first step is where AI can be really useful. It can answer the question they’re too embarrassed to ask a person, explain what counselling involves and point them towards a helpline or a licensed counsellor.

What it shouldn’t do is keep them talking. A wellbeing tool that measures success by how long someone stays in the conversation is working against the person using it. These risks are already on regulators’ radar, and in 2025 Illinois became one of the first US states to bar AI from providing professional therapy without a licensed professional involved. As we explore developing our own, these are the principles it would need to meet:

  • It is always clear that it’s AI.
  • It hands over to a person whenever risk or distress calls for it.
  • It’s judged by how many people reach the right support, not by how much they use the tool.

When we talk about student wellbeing, the conversation often focuses on formal services. Counselling, helplines, online resources and professional support all matter, but they are only one part of the picture, and the network of people around students matters too.

A member of staff might be the first person a student speaks to when they are struggling. They might notice a change in behaviour before anyone else does, and a student may find them easier to approach because a relationship already exists. That doesn’t mean staff should become mental health professionals. What it means is recognising the position they are already in and giving them the knowledge, confidence and support to respond well.

The same applies to staff wellbeing. We can’t expect people to keep supporting others while their own need for connection goes unnoticed. An organisation where colleagues talk openly, check in with each other and ask for help is a healthier place to work, and its students feel the benefit too.

We tend to think about mental health support once something has already gone wrong. A prevention-first approach asks earlier questions, like whether students feel they belong, whether they know where to go for help, and whether anyone would notice if something changed. Staff need the same, along with the confidence to start a difficult conversation and somewhere to turn themselves, and none of that has a technological answer.

This is also where the interests of everyone with a duty of care meet. Study abroad providers, universities and insurers all want problems spotted and supported early, before they become a crisis far from home. A student who gets support in their second week is usually having a very different experience from one whose struggles go unnoticed until they need emergency care or an early flight home. Early intervention is kinder to the student and far less disruptive, and less costly, for everyone responsible for them.

Leanne Elliott, Clinical Lead at mindhamok.

Questions worth asking before your next cohort departs

For anyone working in education abroad, a few questions are a useful test of how connected your support really is:

  • Do students hear about wellbeing support before they leave, or only once they arrive?
  • Are on-site staff trained to spot early signs and start a conversation, and who supports them afterwards?
  • If you use digital or AI tools, do they route students to a person, and how quickly?
  • Can a student reach a licensed counsellor in the middle of the night in their host country?
  • Is anyone checking whether support reaches students early enough to make a difference?

The future still needs people

AI will keep changing the way we work and live, and international education will adapt alongside it. There is a real opportunity to use technology to improve access, reduce barriers and help people find support faster. We should be just as ambitious about protecting the human side of wellbeing.

No matter how good technology becomes at answering a question or holding a conversation, being known by another person is something different. For students and staff living and working across borders, that sense of belonging matters more than most. The better AI gets at talking to us, the more important it becomes that we keep talking to each other.

If any of the questions above are hard to answer for your programme, we’d be happy to talk them through with you. Get in touch with the mindhamok team below.

Reviewed by Leanne Elliott , BACP-Accredited Trauma Counsellor

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