The Gen Z Perspective

Understanding how Gen Z thinks about feedback and AI is essential for effective communication. This generation brings unique attitudes shaped by growing up with technology—but that doesn't mean they automatically embrace AI.

How Gen Z Wants Feedback

Gen Z values direct, honest feedback delivered with authenticity. They prefer regular check-ins over annual reviews, and appreciate context about why feedback matters. They want to understand the "why" behind decisions and expect two-way dialogue rather than top-down criticism.

How Gen Z Views AI Use

Contrary to assumptions, Gen Z is actually skeptical and anxious about AI. They've grown up seeing AI's limitations and are wary of "AI slop"—generic, low-effort AI-generated content. They accept AI for routine tasks but strongly value human authenticity in meaningful interactions.

Key Takeaway

When working with Gen Z, position AI as a tool that enhances your ability to connect authentically—not as a shortcut that replaces genuine human engagement.

What AI Does Exceptionally Well

Despite valid concerns about AI, it has genuine superpowers that can help bridge communication gaps—including with Gen Z. The key is knowing what AI excels at and using it strategically.

Tone and Empathy

AI excels at adapting communication style to different audiences. It can help you strike the right balance between professional and approachable, formal and friendly.

Judgment

AI can provide perspective on decisions and tradeoffs by considering multiple angles simultaneously. It surfaces considerations you might miss.

Reorganizing

AI is excellent at restructuring information for clarity and impact. It can take disorganized thoughts and transform them into coherent narratives.

Understanding Nuance

Modern AI handles nuance, context, and ambiguity remarkably well. It can read between the lines and navigate complex situations.

Context is Everything

Context is the difference between thoughtful and lazy AI use. When you get a generic, sloppy AI response—what went wrong? Usually, you expected AI to read your mind. It can't. But give it proper context, and everything changes.

The Big Shift: Modern AI can now handle very large amounts of information (called "tokens"). This means you can give it extensive context—entire documents, multiple files, detailed background—and it will use all of it to give you better responses.

The Mind-Reading Problem

When AI gives you bad output, ask yourself: "Did I expect AI to know things I never told it?" Generic prompts produce generic results. Specific context produces specific, useful results.

From Oracle to Collaborator

Stop thinking of AI as a magic oracle that should just "know" what you need. Instead, treat it as an informed collaborator. The more you share about your situation, goals, and constraints, the better it can help.

Context Checklist
  • Who is the audience?
  • What are you trying to accomplish?
  • Why does this matter?
  • What constraints exist (length, tone, format)?
  • What background would a smart colleague need to help you?

Three Steps to Thoughtful AI

Here's a systematic approach to working with AI that consistently produces better results. Master these three steps and you'll avoid the "AI slop" that Gen Z (and everyone else) can spot instantly.

01

Context

Provide background, constraints, audience, and goals. This is the foundation—without it, AI is just guessing. Include relevant documents, prior conversations, or data that will help AI understand your situation.

02

Prompt

When you need structure, use a thoughtful prompt. Better yet: ask AI to write the prompt for you! Describe what you're trying to accomplish, and let AI help you formulate the best way to ask.

03

Output

Expand beyond email! Think bigger: scripts, infographics, action plans, structured analyses, and even autonomous AI agents that can execute multi-step workflows.

AI Platforms and Tools

Different AI platforms have different strengths. Here's a guide to the major options, how to use each one, and when to choose which.

Google NotebookLM

Context-first AI — No web search

What it is: NotebookLM is Google's AI research assistant that only uses sources you provide. It doesn't search the web—forcing you to practice context-first AI use.

Why It's Great for Learning

Because NotebookLM can't access external information, you must upload your context. This builds good habits and ensures responses are grounded in your actual materials.

Key Features
  • Upload PDFs, Google Docs, websites, YouTube videos
  • Chat interface for Q&A about your sources
  • Audio overview feature (creates podcast-style summaries)
  • Automatically cites which source each answer comes from
Getting Started
  1. Go to notebooklm.google.com
  2. Create a new notebook
  3. Upload sources (click "+" to add PDFs, docs, links)
  4. Start asking questions in the chat

ChatGPT

OpenAI — Most popular AI assistant

What it is: OpenAI's flagship AI assistant. Versatile, widely used, and constantly improving. Available in free and paid versions.

Key Features
  • GPTs: Custom AI personalities with pre-set instructions
  • File uploads: Analyze documents, images, and data
  • Web browsing: Search the internet for current info
  • Image generation: Create images with DALL-E
  • Code interpreter: Execute Python for data analysis
Getting Started
  1. Go to chat.openai.com
  2. Create a free account
  3. Start chatting—use the paperclip to upload files
  4. Explore GPT Store for specialized tools

Claude

Anthropic — Thoughtful AI assistant

What it is: Anthropic's AI assistant, known for nuanced responses, strong writing ability, and handling long documents. Excellent at analysis and complex reasoning.

Key Features
  • Projects: Organize work with persistent context
  • Large context window: Analyze very long docs (200K+ tokens)
  • Artifacts: Interactive documents, code, visualizations
  • Strong writing: Nuanced, professional content
Getting Started
  1. Go to claude.ai
  2. Create an account
  3. Start a new chat or create a Project
  4. Add files by clicking the attachment icon

Google Gemini

Google — Integrated with Workspace

What it is: Google's AI assistant, deeply integrated with Gmail, Docs, Sheets, and other Google services.

Key Features
  • Gems: Custom AI personas with specific expertise
  • Google integration: Access Gmail, Drive, Workspace
  • Image understanding: Strong multimodal capabilities
  • Extensions: Connect to YouTube, Maps, Flights
Getting Started
  1. Go to gemini.google.com
  2. Sign in with your Google account
  3. Enable extensions for your Google services
  4. Create Gems for specialized tasks

Microsoft Copilot

Microsoft — Built into Office 365

What it is: Microsoft's AI assistant, integrated into Windows, Edge, and Microsoft 365 apps.

Key Features
  • Office integration: AI in Word, Excel, PowerPoint
  • Email drafting: Compose and summarize in Outlook
  • Meeting summaries: Recap Teams meetings
  • Enterprise-grade: Security and compliance
Getting Started
  1. Access at copilot.microsoft.com
  2. Or look for the Copilot icon in Office apps
  3. Use in Edge browser via sidebar
  4. Requires M365 license for full integration

Real-World Use Cases

Adding context lets you use AI to consider perspectives and frameworks you might not think of on your own. Here are practical examples combining different tools and approaches.

01

Bridging Generational Gaps with Gen Z

Chatbot + Upload

Upload context about Gen Z attitudes and communication preferences, then ask AI to help you craft communications that will resonate.

Example prompt: "Based on the Gen Z research I've uploaded, help me rewrite this feedback email to a junior team member. I want to be direct but also show that I genuinely care about their development. They value authenticity—help me avoid sounding corporate or condescending."
02

Personal Career Audit: Three Lenses Framework

AI Agent

Use Dylan Davis's "Three Lenses" framework to get multi-perspective career advice. Give AI context about your situation and ask it to analyze from three different viewpoints:

Executive Coach

What's the goal?
What's the reality?
What's the gap?

Economist

What's the tradeoff?
What are you giving up?
What's the ROI?

Provocateur

What assumption is wrong?
What breaks trust?
What's contrarian?

03

Getting Things Done (GTD) Workflow

Gem + NotebookLM

Use the GTD methodology with AI to organize projects and next actions.

GTD Quick Reference
  • Capture: Get everything out of your head
  • Clarify: Decide what each item means
  • Organize: Put items where they belong
  • Reflect: Review regularly
  • Engage: Do the work with confidence
04

Combining Multiple Frameworks

Claude Project

The real power comes from combining frameworks. Use Claude Projects to create a persistent workspace with multiple frameworks loaded as context.

Combined prompt: "I need to have a development conversation with my Gen Z direct report. Using the Gen Z communication insights, the executive coach lens from the Three Lenses framework, and GTD principles for defining next actions—help me structure this conversation and prepare talking points."

Essential Guardrails

Thoughtful AI use requires knowing when and how to apply appropriate guardrails. Here's what to keep in mind as you integrate AI into your work.

Always Review Before Sending

AI output is a draft, not a finished product. Read everything AI produces before sharing it. Make sure it sounds like you.

Verify Facts and Claims

AI can hallucinate—confidently stating things that aren't true. Double-check any specific facts, statistics, or claims.

Be Transparent When Appropriate

With Gen Z especially, don't pretend AI-assisted work is 100% human-created. Authenticity matters.

Keep Building Human Skills

AI should augment your abilities, not replace foundational skills. Continue developing your writing and critical thinking.

Quick Checklist Before Sending AI-Assisted Work
  • Have I read the entire output?
  • Does it sound like me (or appropriate for the context)?
  • Are all facts and claims accurate?
  • Would I be comfortable if the recipient knew AI helped?
  • Have I added my own insights or personalization?