Artificial Intelligence (AI) is increasingly embedded in school systems, and for many teachers unfamiliar with the technology, conversations about AI are overwhelming. Headlines swing between bold optimism and serious concern. But many educators are asking a simpler, more pragmatic question: how can I use AI in practical, low-risk ways that will save me time and reduce my workload – without compromising my professional judgement?
A recent survey by Gallup found that four out of 10 teachers report not using AI at all during the school year, and another 28 percent use it only occasionally, highlighting just how new this technology still feels to many teachers.
The good news is that AI implementation does not require a classroom overhaul. When used as strategic support, AI can help make teaching more manageable. By starting with simple tasks and establishing clear guardrails, educators can ease their workload while remaining firmly in control of their classroom materials.
Tip #1: Using AI To Reduce Teacher Workload
The statistics on teacher burnout are often tied to one factor: time. A national survey of educators revealed that while the average teacher works roughly 54 hours per week, only about 25 of those hours are spent in direct instruction. The remaining 29 hours are consumed by tasks that, while necessary for school operations, keep teachers away from their students.
Recent insights from Teacher Tapp, the largest daily survey of teachers in England, analyzed more than 2,000 open-ended responses to the question, “If you could ask AI to solve any ONE persistent problem in your school, what would it be?” The clearest signal was a reduction in workload, particularly in tasks that pull teachers away from students.
High-value, low-risk starting points include drafting or refining parent emails, producing first drafts of report card comments, summarizing lengthy policies, and creating structured feedback templates.
Lesson planning emerged as another dominant theme. Teachers reported feeling comfortable using AI as a planning assistant to generate lesson outlines, example activities, differentiated questions, or alternative explanations, while retaining full control over final decisions.
Adam Boxer, the Education Director of Carousel Learning, advises starting with highly specific prompts. Instead of saying, “make lesson resources,” use “make me a 10-question multiple-choice quiz.” The more precise the request, the more usable the output.
Adam Boxer, the Education Director of Carousel Learning, advises starting with highly specific prompts. Instead of saying, “make lesson resources,” use “make me a 10-question multiple-choice quiz.” The more precise the request, the more usable the output.
Tip #2: Avoid Early Implementation Errors
An early pitfall for teachers without much AI experience is treating the technology as a replacement for professional judgment rather than as a tool to help make routine tasks easier.
Boxer emphasizes that AI can be especially useful for proofreading communications to parents. A community member from the AI Onward Badge uses the “Judge feature” in Goblin Tools, a simple AI tool that analyzes tone, to assess how parents and guardians will interpret emails. While AI is a valuable proofreading tool, teachers must also remain accountable and exercise discernment to ensure what they’re communicating to parents aligns with their instructional style and supports student needs.
Another common error educators make, noted by Teacher Tapp, is starting with pupil-facing applications before mastering tools meant for teacher use. Insights from the data suggest that teachers gain confidence by using AI for administrative tasks, lesson plans, and communication with parents before experimenting with student-facing applications. This incremental approach allows educators to understand the tool’s limitations in a controlled environment.
Building confidence in AI literacy comes from using it thoughtfully and reflectively. Kippy Smith, who created the 10 Actionable Strategies & Practices for Educators report developed through the AI Onward Badge cohort, emphasizes that strong AI use is less about speed and more about judgment. In the cohort, educators practice intentionally reviewing AI outputs for bias, clarity, and alignment with learning goals.
A community member from the program developed a critical review method for AI usage that involves entering the same prompt into multiple AI tools and comparing outputs for bias and practical application. For example, try utilizing the “deep research” function in both ChatGPT and Gemini to see how each tool responds to the same request. This practice builds AI literacy by encouraging teachers to critically assess AI-generated content rather than accepting it at face value.
Building confidence in AI literacy comes from using it thoughtfully and reflectively. Kippy Smith, who created the 10 Actionable Strategies & Practices for Educators report developed through the AI Onward Badge cohort, emphasizes that strong AI use is less about speed and more about judgment. In the cohort, educators practice intentionally reviewing AI outputs for bias, clarity, and alignment with learning goals.
Tip #3: Safeguard Student Data
As AI becomes more deeply embedded in educational technology, establishing guardrails is essential to protect student data and ensure regulatory compliance. Non-negotiables begin with data privacy. Teachers should never enter identifiable student information into public AI tools. As Adam Boxer notes, student details should only be used within secure, organization-approved AI platforms with proper data agreements in place. When in doubt, leave names and identifying information out entirely.
Safety and privacy are foundational guardrails, and clear institutional guidance is equally vital. Schools that establish coherent AI policies reduce individual professional risk and create shared expectations across staff. Educators working in schools with a clear AI policy are more likely to use the tools confidently and report a 26 percent greater ‘AI dividend’ in hours saved. Clear guidance reduces hesitation and ambiguity.
Teachers can build trust with their students by being transparent about when and why AI is used in their classroom. The process begins with teachers modeling transparency by sharing how they use AI lesson prep or email drafting, and reminding students that collectively, the school community is still learning. Transparency is best practiced through class discussions that foster collective curiosity.
Reimagining the Future of Teacher Support
The challenges facing educators today are immense, but the emergence of AI offers a unique opportunity to make these challenges a little more manageable. According to a survey conducted by Gallup, in partnership with the Walton Family Foundation, teachers who use AI at least weekly saved nearly six per week on average. Over the course of a typical 37-week school year, that equates to roughly 220 hours annually – nearly six working weeks reclaimed. For many educators, that time can be reinvested in more thoughtful feedback, more responsive lesson design, and stronger communication with families.
But efficiency alone is not the goal. As Adam Boxer puts it, “Your ability to ‘get good outcomes using AI’ tracks with your ability to ‘get good outcomes without AI.’” AI does not replace strong teaching; it amplifies it. The educators who benefit most are those who use AI as a second thinker, a teaching assistant, or a proofreader – not as a decision-maker.
When introduced thoughtfully, AI can deepen educational practice. In a profession defined by human connection, AI can help teachers focus their energy where it matters most: meaningfully engaging with learners to promote deeper learning.
