Most lessons about AI and jobs ask which jobs are safe. Four complete days that teach students to look at any job one task at a time: which tasks AI can help with, how jobs and skills change, who answers for work a tool helped with, and what happens when AI reads a job application. The lessons run on paper, and the online games are optional.
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Short browser games that practice each day's lesson with new examples. Students play on a computer or tablet, with no account and nothing to install. Use one with the lesson or instead of the paper activity.
See the games→Most lessons about AI and jobs ask which jobs are safe. This one teaches students how to look at any job one task at a time. Day 1 breaks a job into tasks. Software can automate some of them, help with others while a person checks and decides, and leave the tasks that need judgment, empathy or hands-on work to a person. Day 2 follows the time that moves between tasks when a tool helps, and judges claims about the future of a job by their source and evidence. A projection isn't a promise.
Day 3 is about work a tool helped with. The person who sends or signs off on the work is accountable, so students check that a tool is approved before any data goes in, compare the draft with the source, follow the workplace policy and say when a tool helped. Day 4 is what happens when AI reads an application. A screening tool can miss a real skill written in different words, so students describe their real skills in the posting's words and learn they can ask for an accommodation or a human review.
It never promises a job is safe or doomed, and every person, workplace, posting and number a student reads is made up. Everything follows the same open-and-teach folders as the rest of the line: 00 Start Here / 01 Present / 02 Student Handouts / 03 Scenarios / 04 Activities / 05 Assessment / 06 Answer Keys.
Yusra works at a phone store's help desk, and each afternoon she checks the chats from the store's AI chat tool. Today she found a chat where the tool promised a customer a full refund on a phone he had used for six months. The page prints the store's refund policy, which allows 30 days and then leaves any refund to a supervisor, and its AI policy, which makes staff responsible for anything the chat tool tells a customer. Students say what the tool got wrong, who is accountable, and what Yusra should do next and which check would stop it happening again. Two pages, three questions and 6 points, with a key that gives what to look for, a model response and what to accept or reject.
One slide or page from four real files in the download, exactly as they appear.
Thirteen slides a day, low text, with the icons and layouts built as real shapes rather than flat images. The speaker notes say what to point to and what to say, and every deck also comes as Google Slides.
Two pages per day, following the slides in order, with that day's ten terms in a word bank on the page. Editable Word and print-ready PDF, and every one has a complete key.
Two long-form cases, two pages each. Every person, store and policy in them is invented. Students read the policies printed on the page, then answer three questions in one or two sentences each.
Yolanda works the front desk at a made-up pet clinic that uses scheduling software and a new AI tool. For each of her six tasks, students circle Automate, Augment or Person only and write why, then check with a partner.
Instead of asking which jobs are safe, students break any job into tasks and see which a tool can do, which it can help with, and which still need a person.
Day 3 keeps a person accountable for work a tool helped with, with checks before it goes out. Day 4 shows what a screening tool can miss and what an applicant can ask for.
Every written question ships with what to look for, a model response, and what to accept or reject. Every activity item has a sample answer and a rule for the point.
No student opens an AI tool, makes an account or applies for a job. Every person, workplace, posting and number is invented, and the real research stays in the teacher guide.
Task Shop, Future Desk, Incident Replay and Fair Screen, one for each day, practice the same skills with new cases in the browser on a computer or tablet.
Print-ready PDFs, every deck in PowerPoint and Google Slides™, and five self-grading Google Forms™ for the quiz and all four exit tickets.
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No. It never promises a job is safe or doomed. Students learn to look at any job one task at a time: which tasks software can automate, which it can help with while a person checks and decides, and which still need judgment, empathy or hands-on work. A tool changing some tasks doesn't by itself tell you whether a worker keeps the job.
No. Day 4 is about how a screening tool reads an application, what it can miss, and what an applicant can ask for, like an accommodation or a human review. It doesn't teach resume format.
No. The READ FIRST guide says you don't need any tech background to teach it. Each slide's speaker notes say what to point to and what to say, the pacing guide gives every day minute by minute, and every page has a key.
Yes. No activity asks a student to open a real AI tool, sign up for anything or apply for a job, and every posting, report, email and table was written for the unit. Every person, workplace, posting and number a student reads is invented, and no student page names a real company, product or job board. The only web addresses printed are the Google Forms and Google Slides copy links and the online games' short links. The published research on tasks, jobs and hiring tools prints in the teacher guide only. Day 4 mentions disability accommodations, and the READ FIRST guide asks you to keep that talk about what any applicant can ask for, never about a student in your class.
On this site, at /activities/ai/careers. The unit has four, one a day: Task Shop on Day 1 (about 7 to 10 minutes), Future Desk on Day 2 (about 8 to 10 minutes), Incident Replay on Day 3 (about 7 to 10 minutes) and Fair Screen on Day 4 (about 7 to 10 minutes). Each game's short link prints on its day's activity sheet and at the top of its answer key, and the teacher guide lists all four with a question to ask afterward. They play in the browser on a computer or tablet, with no account, and they aren't made for phones. Use a game in addition to the lesson or instead of that day's paper activity. If a game replaces the activity, grade that day by its exit ticket.
It sits after the four lessons, not inside them. The quiz is about 25 minutes and all four periods are full lessons — the pacing check measures 42, 40, 42 and 42 minutes of work in a 45-minute period. Run it as a Day 5 in class or set it as a take-home with the self-grading Google Form. Either way you already have a grade for every student from the four exit tickets.
Teach Days 1, 3 and 4. Day 2 adds how jobs and skills change and how to judge claims about the future. If you skip it, use the exit tickets for Days 1, 3 and 4 as the check, or leave out quiz questions 6 to 10 and 22 and grade the quiz out of 21 instead of 28.
The Skills Map lists four codes from the 2026 CSTA computer science standards: HS-SOC-ET-41 on Day 1, HS-SOC-HU-43 on Day 2, and S1-AIN-HR-08 and S1-AIN-HR-09, from its high school Artificial Intelligence specialty, on Days 3 and 4. It marks the Day 1 and Day 2 codes as partial matches and says which part each day covers. Every code was checked against its official wording, and page 2 has a ready-to-paste prompt for your own state's standards.
Yes. The Artificial Intelligence Unit Bundle holds this unit and five more — 25 teaching days and 254 files in one download, for less than buying them one at a time.