Rethinking Tertiary Education: Preparing for an AI-Powered Future
Australian universities face shrinking growth and rising student expectations. To stay competitive, they must modernise with AI-enabled platforms.
Australian universities face shrinking growth and rising student expectations. To stay competitive, they must modernise with AI-enabled platforms.
In this article we discuss:
Australian universities are losing a major growth driver. For decades, international students have been the financial engine that sustained local institutions. Now, with shifting government policies, managed growth targets and tighter immigration rules slowing that engine, institutions must compete harder for domestic students – who have shifting expectations of what higher education should look like.
Today’s students were born into a digital world. Gen Alpha grew up watching Peppa Pig on their parents’ iPhones. And now they’re entering a university with the same systems I was using 25 years ago.
Ok, the systems have had some minor enhancements, but they’re mostly not natively mobile or AI-enabled. Often, students still have to grapple with outdated portals and clunky enrolment tools. It’s a far cry from the seamless, mobile-first, intelligent interactions these young people experience in almost every other aspect of their lives.
Offering a seamless, smart digital experience isn’t just a nice to have – it will soon be an entry-level requirement supporting enrolment, retention and reputation.
If universities want to be competitive, then creating modern, engaging, AI-enabled experiences must be a top priority. Especially now the Australian Government’s Universities Accord has set ambitious participation targets, urging institutions to attract more students from low socioeconomic, Indigenous and disability backgrounds. At the same time, it is bringing in hard caps and managed growth targets, creating an uncertain and complex funding environment for all.
Attracting and retaining these students takes personalised customer journeys with tailored support – the sort of service provision that can only be offered cost effectively through automation and AI.
Offering a seamless, smart digital experience isn’t just a nice to have – it will soon be an entry-level requirement supporting enrolment, retention and reputation. And the investment will be worth it. Just as businesses know it costs more to acquire a new customer than retain an existing one, keeping a student engaged is more cost-effective than replacing them. Retention has never been more important.
Most Australian universities are running systems designed long before AI, mobile computing or cloud, which are becoming increasingly expensive to maintain. This means institutions trying to deliver great research and great teaching are having to divert money into keeping really old software running.
What’s needed is a step-change: modern, agile platforms designed for the digital era, with AI built in to support decision-making and automate manual work.
The risk isn’t just related to cost and security. With legacy systems, when government policy changes, institutions often wait weeks for coders to rewrite systems. A change to reporting requirements, visa compliance, student support obligations or funding models can trigger a cascade of manual interventions. IT teams raise tickets, vendors scope the work, programmers code custom fixes – and staff scramble to adjust processes while they wait. And wait. And wait.
This lag creates real risk. Policy settings can shift overnight – as we’ve seen with Ministerial Directions affecting international student caps, TCSI changes, new funding rules or rapid pivots to online learning. Until the system update arrives, staff are left in the lurch, relying on spreadsheets, workarounds and late nights to stay compliant. It’s an inefficient and stressful cycle. All of this at a time when universities need their staff focused on creating better student and staff experiences, not maintaining old tech.
Replacing 'old tech' in the cloud with a like-for-like lift doesn’t solve the problem. It risks embedding inefficiency for another decade. What’s needed is a step-change: modern, agile platforms designed for the digital era, with AI built in to support decision-making and automate manual work.
In an AI-enabled cloud-native platforms, configuration changes that once required specialist coding and testing over weeks can now be completed by AI Agents that can see where changes need to be made, make recommendations for a member of staff to review, and make those changes once they’re approved in a matter of minutes.
These are not hypothetical questions. They are live challenges facing Australian tertiary education.
The AI genie is out of the bottle. As it reshapes teaching, learning, testing and working, universities need to ask themselves:
These are not hypothetical questions. They are live challenges facing Australian tertiary education.
Modernisation is no longer optional. Universities need to act now to redefine their value proposition for students, staff and society.
It’s time for universities to think boldly about the kind of institution they want to be now and into the next decade – and the technology foundations that will make it possible.
By embracing AI-enabled cloud-native platforms, they can:
Australian tertiary education is rightly proud of its global reputation. But reputation alone will not sustain institutions through this period of upheaval. Universities need the courage to ask hard questions, the foresight to invest in future-ready systems and the willingness to reimagine what sort of tertiary education is needed in an AI-powered world.
The student of the future is already enrolled at your institution. It’s time for universities to think boldly about the kind of institution they want to be now and into the next decade – and the technology foundations that will make it possible.
More Reading
Workday research reveals that we’re in a critical leadership moment: Can organizations redesign work, transforming productivity into real business impact and deeper human connection?
We have an unprecedented opportunity to dismantle traditional barriers and drive true gender equity in the workforce. Here's how AI can help.
By mastering skills mapping, predictive analytics, and scenario modeling, HR practitioners are evolving from administrative roles into strategic architects of the future workforce.