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🔮 Fluency Class 3 – Tech Trends & Future

AI and machine learning technology
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Case study analysis and debate about emerging technologies and future trends

Model C: Case Study & Debate
⏱️
Duration ≈60 minutes (flexible)
🎯
Focus Analysis & argumentation
💡
Topic Tech trends & predictions
🗣️
Format Case Study & Debate
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Real-World Trigger
Opening (≈5-8 min) – Start with a controversial tech claim
🎯 Teacher: Choose ONE provocative statement to spark debate:
Option 1: "I just read that AI will replace 40% of software engineering jobs by 2030..."

Share a real headline or prediction you've seen. Gauge their immediate reaction. Ask: "Do you think this is realistic? Are you worried about your job?" Let them react authentically before structuring the debate.

Option 2: "Someone told me blockchain is dead technology—just hype..."

Present a controversial tech opinion you've encountered. Ask: "What's your take on this? Is [technology X] overhyped or underestimated?" Use this to practice defending and challenging positions.

Option 3: "I saw a company announce they're going all-in on [new tech trend]..."

Share a real company decision about adopting a new technology (AI, quantum computing, Web3, etc.). Ask: "Would you bet your career on this trend? Why or why not?"

💡 Teacher Tip: The goal is to get them emotionally engaged with a tech trend—excited, skeptical, curious. This makes the debate authentic, not academic.

💬
Debate Vocabulary in Context
Example Debate (≈10-12 min) – See how to argue technical positions

Complete Example Debate – "Will AI Replace Developers?"

Position A (Skeptical): "I think this trend is overhyped. Sure, GitHub Copilot helps, but it can't architect systems or understand business requirements. The real issue is that people confuse writing code with solving problems."
Position B (Concerned): "I see your point, however junior developers who only write boilerplate code ARE at risk. On one hand AI won't replace senior thinking, but on the other hand it's already eliminating entry-level positions."
Position A: "That's a fair argument, but historically, technology creates new types of jobs. From my perspective, AI will shift what 'junior developer' means—maybe they become AI prompt engineers or validators."
Position B: "I see both sides, but the transition period is the problem. It's hard to say whether new jobs appear fast enough. What I'm more concerned about is whether bootcamp grads can still break into tech."
Position A: "That raises an interesting question: should education adapt faster? You make a good point about the transition. Perhaps the solution is teaching people to work WITH AI rather than compete against it."
Position B: "I'd argue that we need both—education reform AND industry responsibility. Looking at it from another angle, companies benefit from AI productivity but should invest in retraining displaced workers."

Key Debate Phrases to Practice:
I think this trend is overhyped / realistic / transformative The real issue is... I see your point, however... On one hand... on the other hand... That's a fair argument, but... From my perspective... I see both sides... It's hard to say, but... What I'm more concerned about is... That raises an interesting question: You make a good point about... Perhaps the solution is... I'd argue that... Looking at it from another angle...

📋
Choose Your Case Study
Case Analysis (≈20-25 min) – Pick ONE trend to debate deeply

Teacher & Student: Select one case study below. First, analyze it together (10 min), then debate opposing positions (10-15 min). Use the debate phrases authentically.

📱 Case Study 1: AI Code Generation (GitHub Copilot, ChatGPT)

The Claim: "AI will make junior developers obsolete within 5 years."

Context: GitHub Copilot now writes 40% of code at some companies. Junior dev hiring has dropped 20% at certain firms. AI can generate boilerplate, write tests, even debug simple errors.

Debate Positions:
  • Position FOR: Junior roles ARE at risk. AI handles exactly what juniors used to do—simple CRUD, basic testing, Stack Overflow searches.
  • Position AGAINST: AI is a tool, not a replacement. Juniors learn by fixing AI mistakes, understanding context, and working with teams—things AI can't do.
🔐 Case Study 2: Passwordless Future (Passkeys, Biometric Auth)

The Claim: "Passwords will be completely obsolete by 2026."

Context: Apple, Google, Microsoft all pushing passkeys (device + biometric). They claim it's more secure and user-friendly. But adoption is slow, and losing your device means losing all access.

Debate Positions:
  • Position FOR: Passwords are the weakest link in security. Users reuse them, forget them, get phished. Passkeys solve all these problems.
  • Position AGAINST: This creates new risks—device dependency, biometric privacy concerns, vendor lock-in. What if you travel without your phone?
⏰ Case Study 3: The 4-Day Work Week in Tech

The Claim: "Developers are more productive working 4 days than 5."

Context: Multiple trials show same or better productivity with 4-day weeks. Developers report better focus, less burnout, higher retention. But most companies haven't adopted it.

Debate Positions:
  • Position FOR: Productivity is about focused hours, not seat time. Developers with more rest write better code, make fewer bugs, stay longer at companies.
  • Position AGAINST: This only works for certain types of work. Real-time collaboration, on-call rotations, client-facing teams can't operate on 4 days. It's a privilege, not universal.
⚖️
Structured Debate
Debate Format (≈15-20 min) – Practice arguing both sides
🎭 Round 1: Take Initial Positions (8-10 min)

Student: Argues Position FOR (or their genuine opinion)

Teacher: Argues Position AGAINST (playing devil's advocate)

Rules: Build on each other's arguments. Use phrases like "That's a fair point, but...", "I see your perspective, however...". Make it conversational, not combative.

🔄 Round 2: SWITCH Positions (6-8 min)

Now defend the opposite side! This is critical for learning to see multiple perspectives.

Student: Argues what teacher just argued

Teacher: Argues what student just argued

Why this works: Forces you to understand the strongest version of an argument you disagree with—essential for real technical discussions.

🎯 Debate Techniques to Practice:
Acknowledging Before Countering

Instead of: "That's wrong because..."
Say: "That's a valid concern, but have you considered..." or "I see why you'd think that, however..."

Using Concrete Examples

Instead of: "AI is changing things."
Say: "At my company, we use Copilot and it's eliminated about 30% of boilerplate writing. But we still need humans to review every suggestion."

Exploring Nuance

Instead of: "This trend is good/bad."
Say: "It depends on the context. For large companies, this makes sense. For startups, the trade-offs are different."

🧰
Teacher Toolkit: Facilitating Debate
How to keep the debate productive and authentic
🎯 When the student struggles to argue:
Provide a Concrete Scenario

Use: "Imagine you're a bootcamp graduate trying to get your first job. How does AI code generation affect YOUR specific situation?"
Why it works: Makes abstract trends personal and concrete.

Model the Argument Structure

Use: "Let me show you how I'd argue this: 'On one hand, AI is impressive. On the other hand, it lacks business context. From my perspective, the real opportunity is...'"
Why it works: Demonstrates how to build layered arguments.

Challenge Weak Arguments

Use: "That's interesting, but how would you respond to someone who says [counter-argument]?" or "Can you give me a specific example of that?"
Why it works: Forces deeper thinking and evidence-based reasoning.

🚨 Emergency Debate Prompts (if conversation stalls):

"If you were advising your younger sibling entering tech, what would you tell them about this trend?"

"What's the best argument AGAINST your position? Steel-man the other side."

"In 10 years, will we look back at this conversation and laugh at how wrong we were?"

"If you had to bet $10,000 on this trend succeeding or failing, which way would you bet?"

🎯
Homework: Choose ONE Action
Professional practice between classes (20-30 min)
📝 Option 1: Balanced Tech Trend Analysis (Written)

Write a balanced analysis (250-300 words) of a tech trend you care about. Structure: What it is, arguments FOR, arguments AGAINST, your prediction, your personal action plan. Use at least 4 debate phrases: "On one hand...", "The real issue is...", "I see both sides..."

🎯 Real use: Useful for writing technical blog posts, architecture decision documents, or tech radar assessments.

🎤 Option 2: Devil's Advocate Recording (Audio/Video)

Pick a tech trend you have strong opinions about. Record yourself (5-7 min) arguing AGAINST your own position—devil's advocate style. Then argue FOR it. Practice using debate phrases naturally. This is hard but extremely valuable.

🎯 Real use: Essential skill for architecture reviews, technical RFCs, and any situation where you need to evaluate trade-offs objectively.

💬 Option 3: Tech Debate Prep for Real Meeting

Think of an upcoming technical decision at work (or a hypothetical one). Write out (150-200 words): the decision, 3 arguments FOR, 3 arguments AGAINST, and your recommended approach. Use debate vocabulary. Practice saying it out loud.

🎯 Real use: Direct preparation for technical discussions, sprint planning debates, or architecture review meetings.

📊 Option 4: Tech Trend Prediction Post

Write a LinkedIn/blog post (200-250 words) making a bold prediction about a tech trend. State your position clearly, acknowledge counter-arguments, explain your reasoning. Use phrases like: "I'd argue that...", "Looking at it from another angle...", "The real issue is..."

🎯 Real use: Build your professional thought leadership and practice public technical argumentation.

💡 Teacher: In the next class, ask them to briefly share their analysis and one thing they learned from arguing the opposite side (2-3 minutes max).