
A recent article by Carlo Iacono, Changes Coming to Higher Ed, has been making the rounds (thanks Michael Rowe for sharing with us!). It outlines how artificial intelligence is rapidly reshaping education and what universities might look like in just a few years’ time. As I read it, I realised that many of these so-called “future” shifts are already here in physiotherapy, thanks to the Physiopedia AI Assistant (PAI).
In his article, Carlo describes how education is being pulled in two directions. On one side is the rapid pace of AI innovation, moving in weeks and months. On the other is the slower pace of universities, moving in semesters and committees. The gap between these two clocks is creating a period of uncertainty, but also huge opportunity. Reading through his reflections, I couldn’t help but notice how many of the shifts he describes are already happening through PAI. While higher education debates how to adapt, physiotherapists are already experiencing the benefits of AI in their daily practice.
Carlo talks about the weakening of the degree as a standalone signal. Employers want more than a certificate on a wall, they want evidence of skills in action. This is something PAI is helping with right now. Every interaction creates a transparent record of reasoning that clinicians can reflect on, learn from, and even use as part of their CPD. It shows not just what someone knows, but how they apply it.
He also describes the rise of AI study coaches that support learning around the clock. Again, this isn’t a distant prospect. PAI is already acting as that coach for physiotherapists everywhere, answering questions, supporting exploration of complex topics, and guiding clinical reasoning at any hour of the day. Far from replacing educators or mentors, it frees them to focus on what matters most: motivation, ethics, teamwork, and the complex challenges of real practice.
Perhaps most importantly, Carlo points out that the real question in future education won’t be whether someone used AI, but how they used it. Hiding AI use will become the new plagiarism, while declaring it will be normal practice. PAI is designed for exactly this world. It encourages transparency, always references trusted sources, and positions AI as a partner that supports safe, thoughtful, evidence-based learning.
Carlo warns of an “agency divide” between those who learn to use AI responsibly and those who are told to avoid it. With PAI, we are already closing that gap. Whether you are in a large teaching hospital or a rural clinic, you can access the same supportive assistant, helping you to integrate AI responsibly into your work.
So while many of the changes outlined in Carlo’s article are described as future possibilities, they are already realities for our community. PAI is showing that when AI is used well, it doesn’t diminish education or practice, it strengthens both. The future of physiotherapy is not about resisting these tools or adopting them blindly, but about using them thoughtfully and keeping people at the centre. That has always been our mission, and it’s exactly what the Physiopedia AI Assistant was built to do.
If you are a university or a technology-focused organisation interested in bringing some of Carlo’s future-facing ideas into reality, we’d love to talk. Get in touch and let’s explore how PAI can support your students, your educators, your clinicians, and the next generation of physiotherapy learning.
PAI is a professional development/educational tool for qualified physiotherapy professionals and students, built on Physiopedia's evidence-based knowledge base. It is not a medical device and does not provide clinical diagnoses, treatment recommendations, or advice about individual patients. All information provided requires your independent professional judgement before any application to practice.
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