The Australian teaching profession is in crisis, and the statistics are as grim as the stories they represent. Three-quarters of educators report feeling burned out, nearly half are considering leaving in the next year, and only one in five believes they have the time to do their job properly. These numbers aren’t just a wake-up call—they’re a clear signal that our education system is failing the very people it depends on. Teachers aren’t leaving because they’ve stopped caring; they’re leaving because the system is making it impossible to care without self-destruction.
Into this maelstrom steps education technology, promising solutions that ostensibly aim to “support” teachers. The LinkedIn post above highlights one such effort—a company claiming to use AI to alleviate administrative burdens and create “space” for teachers to reconnect with their core mission. It’s a noble pitch, but as with so many edtech promises, the devil lies in the details. And those details reveal a troubling pattern: tools that claim to help educators often end up scaling the very problems they aim to solve.
Burnout Isn’t Just About Workload—It’s About Power
Before diving into the tech itself, it’s crucial to understand the root causes of burnout. Yes, hours spent on administrative tasks and juggling multiple roles contribute heavily, but burnout isn’t just a function of workload—it’s a symptom of powerlessness. Teachers are often asked to implement top-down mandates, adopt unproven technologies, and conform to bureaucratic processes that strip them of agency. Adding another layer of AI-driven automation risks exacerbating this dynamic, particularly if teachers aren’t involved in shaping how these tools are implemented.
What the LinkedIn post fails to address is the deeper systemic issue: the deprofessionalisation of teaching. When technology pitches itself as a saviour, it often frames teachers as passive recipients of solutions rather than active collaborators. This approach risks further disempowering the workforce it claims to support. If AI tools are designed without meaningful input from educators, they’re not solving burnout—they’re reinforcing the conditions that cause it.
AI as Automation: Help or Hindrance?
The argument that AI creates “space” for teachers is seductive. In theory, automating repetitive administrative tasks should free up time for educators to focus on teaching. But in practice, the implementation of AI tools often introduces new complexities. Consider the learning curve required to adopt these platforms, the troubleshooting involved when systems inevitably fail, and the additional data entry burdens that arise as schools attempt to interface human workflows with machine logic. Far from reducing workload, many tech solutions simply shift it.
Then there’s the question of what happens to the data these systems collect. Education technology vendors have a long history of treating schools as data goldmines, monetising student and teacher information under the guise of “personalisation” or “efficiency.” Even if a tool genuinely reduces administrative burdens, it may come with hidden costs in the form of privacy risks or algorithmic bias. Teachers, already stretched thin, are unlikely to have the bandwidth to interrogate these risks adequately. And that’s precisely what vendors are counting on.
Scaling the Problem vs. Scaling the Solution
It’s worth interrogating the broader implications of scaling “solutions” that focus solely on efficiency. Efficiency doesn’t fix a broken system; it often entrenches it. If AI tools primarily serve to help teachers manage unreasonable workloads, they’re not addressing the root cause—they’re normalising it. What happens when the systemic issues driving burnout remain unchallenged but are masked by a veneer of technological “progress”? Teachers might temporarily feel relief, but the structural pressures will remain, lurking beneath the surface until the next crisis hits.
The LinkedIn post asks, “What would education look like if the system worked for teachers instead of wearing them down?” It’s a critical question, but one that AI alone cannot answer. A system that works for teachers requires more than automation—it demands a rethinking of how education is organised, funded, and governed. That means addressing inequities in school budgets, reducing class sizes, and empowering teachers with more autonomy, not less.
Where Do Institutions Go From Here?
For decision-makers in schools and educational organisations, the takeaway is clear: treat edtech promises with scepticism, especially when they claim to address burnout. Before adopting any new platform, ask hard questions about its implementation, data practices, and long-term impact on teacher agency. Insist on transparency from vendors—not just about what their tools do, but about what they don’t do. And most importantly, centre teachers in the decision-making process. If they’re not genuinely involved, the solution isn’t a solution at all.
If the current trajectory continues—where tools are introduced to patch the symptoms of burnout rather than addressing its root causes—the education sector risks deepening the crisis rather than alleviating it. Technology can be part of the solution, but only if it’s deployed thoughtfully, transparently, and in collaboration with the people it’s meant to serve.
Because if we keep scaling the problem, we’ll eventually run out of teachers willing to keep caring. And no AI tool can replace that.
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