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AI and the Future of Early Years: What It Means for Parents, Nursery Owners and Children

Parents are already using AI to compare nurseries, check reviews and understand what a setting may offer their child. They are also turning to it to make sense of funded hours, eligibility, additional charges, session patterns and what they may actually need to pay each month.

Dominic Scotton

The Nursery Business

Parents are already using AI to compare nurseries, check reviews and understand what a setting may offer their child. They are also turning to it to make sense of funded hours, eligibility, additional charges, session patterns and what they may actually need to pay each month.

For many families, nursery funding is confusing. AI is starting to shape their expectations before they ever speak to a provider. Sometimes those expectations will be accurate. Sometimes they will not.

Nursery teams are also beginning to use AI for communication, translation, staffing, administration and planning.

But the first major shift will not be robots teaching children. It will be parents making decisions differently and nursery owners having to respond with clearer information, faster answers and a more personal parent journey.

Parents can now ask AI which nursery is best near them, which setting has the strongest reviews, which offers strong SEND support, how two Ofsted reports compare and whether the fees appear reasonable.

They can also ask what questions to raise during a tour or what signs suggest that a nursery is well led.

And they may receive an answer before contacting a single setting.

That matters because a nursery may never know it was considered, compared and removed from a parent’s shortlist.

The best nursery may not be the one AI recommends

AI draws information from websites, inspection reports, directories, reviews, social media and other public sources.

But it can only work with what it can find.

A strong nursery could still be overlooked because its opening hours are unclear, its fees are difficult to find, or its website has not been updated.

The same problem applies when SEND support is poorly explained, reviews are unanswered, availability is unknown or different platforms show conflicting information.

And vague claims will not help.

Most nursery websites say they are caring, nurturing and child-centred. Those statements may be true, but almost every nursery says the same thing.

Parents need facts.

They want to know about staff experience, staff stability, safeguarding, food, outdoor play, SEND support, settling-in arrangements, fees, funded hours, opening times, inspection outcomes and availability.

A nursery website is no longer just marketing. It is evidence that parents and AI tools will use to judge the setting.

That evidence must be accurate, current and consistent.

Owners should review how their nursery appears across Google, directories, social media, review platforms and the nursery’s own website.

Where those sources disagree, AI may produce the wrong answer.

And once inaccurate information appears in an AI summary, the nursery may lose the parent before anyone has the chance to correct it.

The parent journey will become faster

AI is likely to affect every stage of choosing and joining a nursery.

During discovery, parents may ask AI to compare settings by location, fees, reviews, opening times, inspection outcomes and areas of expertise.

They may also ask for recommendations based on their working pattern, family circumstances or child’s additional needs.

The first shortlist could therefore be created without the parent visiting the nursery’s website directly.

That changes the commercial reality for owners. Online information may influence occupancy before anyone in the setting receives an enquiry.

Enquiries will become more immediate

Parents will increasingly expect quick answers about fees, funded hours, availability, meals, opening times, registration requirements and settling-in arrangements.

AI tools and automated systems can answer routine questions at any time of day.

That could reduce delays, improve conversion and remove repetitive work from nursery teams.

But not every question should receive an automated response.

A parent asking about opening hours may value an immediate answer.

A parent anxious about leaving their baby for the first time needs reassurance from a person who understands the setting and can respond with care.

The challenge for nursery owners will be deciding what should be automated and what must remain human.

Tours could become more relevant

AI could also shape the nursery tour.

A parent asking about allergies could receive menus and food information before arriving.

A parent seeking SEND support could receive details about the setting’s approach, staff experience and available resources.

A parent concerned about settling in could receive a simple explanation of the key-person process before the visit.

This could make tours more useful and help managers focus on what matters most to each family.

But it also raises questions about data collection.

Owners will need to be clear about what information they collect, why they collect it and how long they keep it.

Personalisation should improve the experience. It should not become intrusive.

Registration, settling in and communication

AI could help parents complete forms, upload documents, understand funded hours and compare attendance patterns.

It may also help calculate likely costs, identify missing information and send reminders before the child starts.

That should reduce errors and save time for both families and nursery teams.

But important checks must remain human.

Funding, medical information, permissions, allergies and emergency contacts cannot be left to an automated system without proper review.

The same principle applies during settling in.

Parents may receive reminders, translated information and clearer guidance before their child starts. AI could help explain routines, key-person arrangements, what to bring and what to expect during the first few weeks.

Used well, this could reduce uncertainty.

But settling in is emotional.

Parents are often anxious, children may be distressed, and practitioners need to respond to what they see and hear.

A sequence of automated messages cannot replace the judgement and reassurance of an experienced practitioner.

Once a child starts, parents will probably expect faster and more tailored communication.

AI could support daily updates, translations, meeting summaries, policy explanations, reminders, learning summaries and funding information.

It may also help practitioners explain activities or suggest simple ways parents can continue learning at home.

But polished writing does not guarantee meaningful communication.

A well-written update has little value if it does not reflect the child’s actual day.

Parents do not need generic descriptions. They need honest, individual information about their child.

AI can help staff express that information clearly. It must not invent it.

What AI could mean for nursery owners?

For owners, the immediate value of AI sits in occupancy, staffing, financial control and faster decision-making.

It could support:

  • Occupancy forecasting

  • Enquiry tracking

  • Waiting-list management

  • Staffing analysis

  • Ratio alerts

  • Fee reconciliation

  • Debt monitoring

  • Financial reporting

  • Recruitment administration

  • Parent feedback analysis

  • Complaint trend analysis

  • Performance comparison across several settings

For a multi-site operator, this could provide a much clearer view of the business.

An owner could receive an alert when occupancy falls in one room, staffing costs rise unexpectedly, enquiries are not followed up, or conversion rates begin to drop.

They may also identify when debt increases, agency use becomes excessive, or one setting performs differently from the others.

That information could support earlier action.

It could also improve accountability.

Managers would have clearer information about what is happening, where performance is changing and which issues need attention.

But owners should not treat AI simply as a way to reduce staffing costs.

The better goal is to remove repetitive work and return time to managers and practitioners.

If technology saves a practitioner 30 minutes but that time is replaced with another administrative task, the child gains nothing.

The value lies in what the saved time allows people to do.

What happens inside the nursery room?

AI will gradually become more visible in children’s experiences.

It could help practitioners create stories, translate key words, plan activities, adapt resources and support children with additional needs.

A practitioner might use it to create a story around a child’s interest in dinosaurs.

It might help translate familiar words for a child who is new to English.

It could also suggest ways to adapt an activity for a child who requires additional support.

These uses may be valuable.

But the boundary must remain clear.

AI should help an adult create an experience for a child. It should not become the experience.

Children learn through relationships, play, movement, conversation, repetition and shared attention.

They learn by watching faces, hearing tone, managing frustration and responding to other people.

AI may imitate conversation.

But it does not form a genuine relationship with a child.

Any use inside the nursery room should remain limited, purposeful and led by a knowledgeable adult.

Observations cannot become automated fiction

One of the most obvious uses of AI is helping practitioners write observations.

It could improve spelling, grammar and structure. It may also reduce the time spent writing.

But it can create a convincing account from very little information.

It may add details the practitioner did not see, suggest generic next steps or make weak practice look stronger than it is.

An observation is not simply a polished paragraph.

It should show what happened, why it mattered and what the practitioner understood about the child.

AI may help someone express professional judgement.

But it must never invent that judgement.

The same principle applies to safeguarding records, accident reports, SEND documentation, behaviour records, parent meeting notes and staff assessments.

Accuracy matters more than presentation.

Data protection cannot be an afterthought

Nurseries hold sensitive information about children, families and staff.

That includes photographs, health information, developmental records, safeguarding concerns, family circumstances, attendance data, financial details and staff records.

Owners must understand what happens when information is entered into an AI system.

They need to know:

  • What the system collects

  • Where the information is stored

  • Who can access it

  • How long it is retained

  • Whether it is used to train the system

  • Whether it is transferred outside the UK

  • How it can be corrected or deleted

  • What happens if the supplier suffers a breach

Staff should not enter identifiable information into public AI tools without formal approval.

And removing a child’s name may not be enough.

A child may still be identifiable through their age, needs, location and family circumstances.

AI use must sit within the nursery’s data protection arrangements, not outside them.

Human judgement must stay in control

AI can organise information, identify patterns and suggest questions.

But it should not make important decisions about safeguarding, SEND, development, recruitment, disciplinary action, staff capability, complaints or family support.

AI can sound confident while being wrong.

It may also reflect bias within the information on which it was trained.

A child’s language, culture, disability, behaviour or family circumstances could be misunderstood without proper context.

AI should support professionals.

It should never become an invisible decision-maker in a child’s life.

Trust could become the biggest issue

Parents choose nurseries based on trust.

They want staff to know their child, listen carefully and communicate honestly.

AI could make communication quicker and more accessible.

But it could damage trust if parents discover that sensitive messages, observations or responses were generated without proper human involvement.

Nurseries should be open about where AI is used.

Sensitive conversations should always involve a person.

That includes developmental concerns, safeguarding issues, complaints, injuries, difficult settling-in experiences, behaviour concerns, SEND discussions and changes in family circumstances.

Convenience cannot replace judgement or empathy.

What nursery owners should do now?

Owners do not need to adopt every new tool.

But they do need a clear position.

Write an AI policy

Set out which tools are approved, which uses are prohibited, what information staff must never enter and who is responsible for checking outputs.

Approve systems properly

Do not allow staff to use any tool they find online.

Review the supplier, contract, privacy arrangements and security first.

Protect personal information

Make it clear that identifiable details about children, families and staff must not enter public AI systems.

Train the team

Staff need to understand that AI can produce confident but inaccurate answers.

Every important output must be checked.

Keep decisions human

AI may support drafting and analysis.

But people must remain accountable for decisions.

Review your online presence

Check that fees, hours, availability, SEND information, food, curriculum, funding and inspection details are accurate.

AI cannot represent your nursery properly when your own information is unclear.

Protect the parent relationship

Use automation for routine questions.

But keep people available for emotional, difficult and sensitive conversations.

Measure the right result

Ask whether AI reduces workload, improves accuracy, supports better decisions and returns meaningful time to children and teams.

Saving time means little if that time creates no benefit.

The nursery of the future should feel more human

AI will not fix poor leadership, repair a weak culture or retain an unhappy team.

It will not build trust with parents on its own.

But it can help a strong nursery become easier to find.

It can make information clearer, reduce repetitive work and give owners better visibility across their business.

Used badly, it will produce generic communication, weak judgement and serious privacy risks.

The owners who succeed will not necessarily use the most AI.

They will know where it helps, where it creates risk and where a person must remain in control.

AI should work quietly behind the nursery.

Care, play, relationships and childhood must remain at its centre.

Evidence and further reading

Department for Education, Childcare and Early Years Survey of Parents 2025

Ofcom, Children’s Media Literacy Report 2025

Ofcom, Adults’ Media Use and Attitudes Report 2026

Ofsted, Early Years Inspection Information: Artificial Intelligence

Information Commissioner’s Office, Children and the UK GDPR

UNICEF Innocenti, Guidance on AI and Children

Zhang, Halili and Zainuddin, Applications of Generative AI in Early Childhood Education: A Systematic Review

Dominic Scotton

The Nursery Business

He is an experienced Operations Director, CEO and Non-Executive Director with over 20 years’ experience across early years, education, care, charity and community services. He specialises in improving operational performance, financial control, leadership and growth across single and multi-site organisations. He has led a £9.5m business, managed teams of around 150 people and increased occupancy by 23% in one setting. He is the founder of The Nursery Business, supporting nursery owners with practical commercial and operational advice across staffing, occupancy, finance, compliance and growth.

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