Running an early learning service has never been harder. Cost-of-living, public scrutiny and compliance demands are squeezing operators from every direction. Yet the importance of what we do has never been clearer. The first 1000 days shape a child's life more than any university degree ever will. Given a million dollars, most parents would invest it in secondary school or tertiary education. But the research is clear: the earliest years offer the highest return.
That return only grows in an AI era. As routine, manual work gets automated and the future of work becomes more human, the dispositions that matter most are creativity, problem-solving and resilience, all cultivated in early childhood. Parents fixate on 'school readiness', but the school system is struggling. Early learning can lead the way.
To capture this opportunity, we need to go back to innovation from first principles. Australian early learning sits between two models. On one end is the restaurant model, where services compete on the quality of their food, i.e. education. On the other is the utility model, like Canada's universal childcare, where the regulator dictates quality and price caps, so services compete on cost efficiency and compliance. Australia sits in the middle, so both matter, and AI can help with both.
On differentiation in educational quality, consider the workforce. Skills shortages, attrition and fast-tracked degrees are challenging quality just as participation grows and children's needs become more diverse. By fine-tuning models on the NQF, leading literature and internal policies, we can put an expert coach in every educator's pocket, in over 40 languages. Generic ChatGPT, scapes the world wide web - great for things like planning a holiday in Rome; but it can't reliably tell you best practice for supporting a three-year-old experiencing big feelings. A fine-tuned tool can better democratise expert knowledge at scale.
On differentiation of value to families, consider how we engage them to date. Current platforms have devolved into 'insta-teaching', with 50 daily photos that take children out of the moment, raise consent concerns and reinforce the perception of babysitting. A photo can tell a thousand words, but a thousand photos and no words doesn't say much. What's hard to copy, and what families value, is personalised, in-depth learning observations. AI can extend this: surfacing each child's interests and helping parents extend learning at home.
On the cost efficiency side for educators, consider documentation. Educators don't need to be Shakespeares. They need to be critical thinkers who spend quality time with children. Many already use generic AI tools, but there are no safeguards against de-skilling, AI slop, hallucinations or online safety breaches. This isn't an AI problem; it's a product problem. Design AI to coach and scaffold learning, and we uplift the thinking and halve the paperwork.
On the cost efficiency side for leaders, consider oversight and analytics. Educational leaders and centre managers drown in admin and compliance instead of their highest-leverage role: peer-to-peer mentoring. Ops teams fly blind on A&R. AI agents can perform admin, run audits and surface proactive analytics, so you never dread the A&R scramble again.
'All-in-one' systems are jack of all trades, master of none, and teachers deserve better to shape brighter futures. The future belongs to specialist tools that use AI natively, integrate with the rest of your stack seamlessly and place security at the forefront. Demand SOC2, ISO27001 and ISO42001 - international standards for cybersecurity when it comes to tech and AI systems. This is non-negotiable. We're safeguarding children's futures here.
AI is here, and it's moving fast. History tells us there are three kinds of people: those who make things happen, those who watch things happen and those who say 'Oh geez, what happened?'. Lean in, critique, debate, so we can shape brighter futures and make the early years great again.
