Every student weighing up extra academic support eventually runs into the same question: pay for a private tutor, or use one of the AI study apps that have become genuinely capable in the last couple of years? The honest answer is that they're not really competing for the same job. Tutoring and AI tools solve different problems well, and the right choice depends more on your actual situation than on which option is objectively “better.”
What Private Tutoring Actually Costs in Australia
Private tutoring in Australia typically runs somewhere between roughly $64 and $180 AUD per hour, depending on the subject, the tutor's experience or qualifications, whether it's one-on-one or small group, and which city you're in. Specialist VCE or HSC subjects and exam-focused tutors toward the end of that range are common, particularly for subjects like Maths Methods, Specialist Maths, or Chemistry where demand for experienced tutors is high.
Run that across a school term. Even a single weekly hour at the lower end of that range adds up to several hundred dollars a term, and most students who use tutoring seriously do it across more than one subject, and more than once a week during exam periods. It's a real and recurring cost for most families, not a one-off expense — which is exactly why it's worth being clear about what that money is actually buying.
Group tutoring and online tutoring both tend to sit toward the lower end of that range, which is a reasonable way to bring the cost down without giving up personalised feedback entirely — though a group session necessarily means less individual attention per student than one-on-one, so it's a genuine trade-off rather than a free upgrade.
What Tutoring Genuinely Does Well
Tutoring's biggest strength is responsive, real-time teaching. A tutor who knows a student well can read confusion in real time — notice the specific moment understanding breaks down, adjust the explanation on the fly, and ask follow-up questions that a static resource simply can't. For a student stuck on a conceptual gap that keeps recurring, a good tutor can often resolve in one conversation what might otherwise take weeks of independent struggle.
Tutoring also builds accountability that's genuinely difficult to create for yourself. A weekly session with another person, at a set time, that you have to show up prepared for, creates external structure — especially useful for students who struggle with motivation or who tend to deprioritise study until it's urgent. Some students do their best work specifically because someone else is checking in on their progress.
What AI Study Tools Genuinely Do Well
AI study tools' core advantages are availability, cost, and consistency — not replicating a human tutoring relationship, and the honest ones don't claim to. A tutor is available for the hour you've booked; an AI tutor is available at 11pm the night before a test, or for the ten spare minutes between classes, with no scheduling required. That matters more than it sounds — a lot of real study happens in short, unplanned windows, and a tool that's only useful when pre-booked misses most of them.
Cost is the other obvious difference. Most AI study tools cost a small fraction of even a single tutoring session per month, which puts them within reach of students whose families simply can't justify $100+ a week across multiple subjects — not as a lesser substitute, but as a genuinely different kind of resource with a different cost structure.
Consistency is less obvious but real: an AI tool doesn't have an off day, doesn't forget what you covered last time (when it's built to retain that context), and applies the same standard of feedback every session. It also doesn't get impatient with a question asked for the third time, which matters more for some students than they'd admit.
Where Each Actually Makes Sense
A few honest scenarios, rather than a blanket recommendation either way:
- If a student has one specific subject where they're fundamentally stuck — not just behind, but genuinely not understanding the foundations — a few sessions with a good tutor to close that gap is often worth the cost, because the value of unblocking a real conceptual gap early compounds across the rest of the year.
- If the issue is day-to-day consistency across several subjects — needing help with homework, revision, and practice on an ongoing basis, not one deep conceptual block — an AI tool is usually the better fit, both because of cost and because the need is frequent rather than occasional.
- If budget genuinely doesn't allow for regular tutoring across multiple subjects, an AI study tool is a legitimate primary resource, not just a placeholder until tutoring becomes affordable.
- Many students reasonably use both — tutoring for one or two subjects where the stakes and the specific gap justify it, and an AI tool for daily revision, flashcards, and homework help across everything else.
What Neither Option Genuinely Fixes
Neither tutoring nor an AI study tool solves a problem that shows up for plenty of students: not knowing how to structure independent study time, or not having the motivation to start a session without one already scheduled. A tutor can prompt a student for the hour they're actually together, and an AI tool is available whenever it's opened — but neither one can make a student open their laptop on a random Tuesday with no exam looming yet. That's a genuinely separate problem from access to good feedback, and it's worth naming honestly rather than assuming either tool solves it automatically.
It's also worth being realistic about diminishing returns. A weekly tutoring session that goes well is valuable; three sessions a week for a student who isn't doing anything with the material in between usually isn't three times as valuable, because the bottleneck has shifted from access to feedback toward what actually happens in the days between sessions. The same logic applies to AI tools — a few minutes of genuine, effortful practice most days tends to beat an hour-long session used passively once a week.
Where Clarby Fits
Clarby grounds its tutor in a student's own uploaded notes and textbooks, rather than answering from general knowledge alone. A generic AI chatbot doesn't know what your teacher actually covered, what's in your textbook, or how your specific course is structured — its answers reference a generic version of the topic that may not match your syllabus. Clarby's approach is narrower and more specific by design: for a subject you're currently studying, answers grounded in your own course material are more useful than generic ones.
You can see the current Clarby pricing, or try it with your own subjects to see whether that approach is actually useful for how you study, rather than taking either the marketing or this article's word for it.
The real answer to “tutoring or AI” isn't one-size-fits-all, and treating it as a single either/or decision is probably the wrong frame in the first place. The more useful question is what problem you're actually trying to solve — a specific conceptual gap, or ongoing day-to-day support — and then choosing the tool that's actually built for that problem, rather than the one with the better marketing.