The Future of Work

Active learning works for The Future of Work because students need to confront their own assumptions about automation while practicing evidence-based reasoning. When they analyze real job tasks, debate trade-offs, and simulate economic shifts, they move from abstract fear to concrete understanding.

• Year 10
• Technologies
• 4 activities
• 30 min–50 min

Learning Objectives

1. Analyze the impact of automation on specific industries, classifying them by their susceptibility to job displacement.
2. Evaluate the ethical implications of AI-driven wealth distribution and propose potential societal responses.
3. Synthesize information to predict emerging job roles and the skills required to fill them in an AI-augmented economy.
4. Critique the potential effectiveness of universal basic income as a solution to widespread automation-induced unemployment.

Jigsaw

⏱ 50 min·Small Groups

Jigsaw: Industry Automation Risks

Assign small groups one industry, such as retail or healthcare. They research automatable tasks using provided sources, note resilient human roles, and create infographics. Groups then teach their findings to the class, who compile a shared matrix of risks and opportunities.

Prepare & details

How does technology affect society in terms of wealth distribution?

Facilitation Tip: In Jigsaw Research, assign each group a specific industry so their final synthesis reveals patterns across sectors rather than isolated facts.

Setup: Flexible seating for regrouping

Materials: Expert group reading packets, Note-taking template, Summary graphic organizer

• Understand
• Analyze
• Evaluate
• Relationship Skills
• Self-Management

Formal Debate

⏱ 30 min·Pairs

Pairs Pitch: Emerging Future Jobs

In pairs, students brainstorm three new roles from AI advancements, like virtual reality therapists. They outline required skills and societal benefits, then pitch to the class for feedback and voting on viability.

Prepare & details

What skills will be most valuable in an economy dominated by AI?

Facilitation Tip: For Pairs Pitch, require students to include both a data point about job growth and a concrete example of human judgment in their emerging job proposals.

Setup: Two teams facing each other, audience seating for the rest

Materials: Debate proposition card, Research brief for each side, Judging rubric for audience, Timer

• Analyze
• Evaluate
• Create
• Self-Management
• Decision-Making

Formal Debate

⏱ 45 min·Whole Class

Debate Carousel: UBI and Wealth Gaps

Divide class into affirm/negate teams on 'Universal basic income is essential for automation.' Teams rotate stations to argue, rebut, and note evidence from wealth distribution data. Conclude with a class vote and reflection.

Prepare & details

Is universal basic income a necessary response to widespread automation?

Facilitation Tip: During Debate Carousel, rotate groups every 5 minutes to expose them to multiple perspectives before they vote on the strongest arguments.

Setup: Two teams facing each other, audience seating for the rest

Materials: Debate proposition card, Research brief for each side, Judging rubric for audience, Timer

• Analyze
• Evaluate
• Create
• Self-Management
• Decision-Making

Simulation Game

⏱ 40 min·Small Groups

Simulation Game: AI Economy Shifts

Small groups manage a simulated economy with cards representing jobs, automation events, and skill upgrades. They track wealth changes over rounds, discuss outcomes, and propose adaptations like retraining programs.

Prepare & details

How does technology affect society in terms of wealth distribution?

Facilitation Tip: In Simulation Game, limit each round to 7 minutes so students experience the pressure of rapid economic change while still reflecting on outcomes.

Setup: Flexible space for group stations

Materials: Role cards with goals/resources, Game currency or tokens, Round tracker

• Apply
• Analyze
• Evaluate
• Create
• Social Awareness
• Decision-Making

Teaching This Topic

Teachers approach this topic by balancing caution with optimism. Avoid presenting automation as an unstoppable force; instead, use historical examples to show cycles of disruption followed by adaptation. Focus on skills students can develop now—critical thinking, ethical reasoning, and adaptability—rather than predicting specific jobs. Research shows that students retain these concepts better when they connect them to their own career aspirations.

What to Expect

Successful learning looks like students confidently distinguishing between automatable tasks and human-centric roles, using evidence from their research and debates. They should articulate how skills like ethics or creativity remain irreplaceable despite technological advances.

Watch Out for These Misconceptions

Common Misconception

During Jigsaw Research, watch for students assuming all technology replaces jobs without considering historical job creation patterns.

What to Teach Instead

Have groups present one example of a job that disappeared due to technology and two new jobs that emerged as a result, using their research to identify the skills that enabled adaptation.

Common Misconception

During Pairs Pitch, watch for students proposing only technical roles as future jobs without addressing human oversight needs.

What to Teach Instead

Require each pitch to include a non-technical skill required for the role, such as ethical decision-making or user experience design, and ask peers to identify which parts of the job cannot be automated.

Common Misconception

During Debate Carousel, watch for students assuming universal basic income (UBI) is the only solution to wealth gaps caused by automation.

What to Teach Instead

Use the carousel’s rotating groups to surface counterarguments, then have students revise their positions based on evidence from other groups’ research on automation’s uneven impacts across industries.

Assessment Ideas

Discussion Prompt

After Jigsaw Research, pose the question: 'Which three jobs do you believe are most vulnerable to automation in the next 20 years, and why?' Collect responses on the board, then have students reference their group’s research to justify their choices, noting patterns in task types and technological capabilities before discussing potential new roles that might emerge.

Quick Check

During Simulation Game, have students individually categorize the 10 job titles as 'High Risk', 'Medium Risk', or 'Low Risk' on a half-sheet, then pair them to compare justifications before revealing the intended risk levels. Listen for students referencing task repetitiveness and AI capabilities in their reasoning.

Exit Ticket

After Debate Carousel, ask students to write one skill they believe will be essential for future employment in an AI-dominated economy and explain in one sentence why that skill is important. Collect these to identify common themes, then use the two most frequent skills as discussion starters in the next lesson.

Extensions & Scaffolding

• Challenge early finishers to research a job title not on the list and argue for its risk level using task analysis from their Jigsaw Research.
• For students struggling, provide a partially completed categorization grid for the Quick-Check activity with one correct answer already filled in.
• Deeper exploration: Invite a local business owner or tech worker to discuss how their industry is adapting to automation, then have students compare their predictions to real-world changes.

Key Vocabulary

Automation	The use of technology, such as robots and artificial intelligence, to perform tasks previously done by humans.
Artificial Intelligence (AI)	Computer systems designed to perform tasks that typically require human intelligence, such as learning, problem-solving, and decision-making.
Job Displacement	The loss of employment for workers when their jobs are eliminated due to technological advancements or economic changes.
Universal Basic Income (UBI)	A government program that provides a regular, unconditional sum of money to all citizens, regardless of their employment status or income level.
Gig Economy	A labor market characterized by the prevalence of short-term contracts or freelance work, often facilitated by digital platforms.