Attachments
Previous class
Section 4: No Hype, No Doom
AI is often discussed in extremes.
Either it’s framed as a miracle that will solve everything — or a threat that will replace everyone.
Both of those stories are misleading.
AI Is Not Magic
AI doesn’t “understand” the world.
- It doesn’t have intentions, goals, or awareness.
- It works by recognizing patterns and generating outputs based on examples.
- When people hype AI as all-knowing, they set unrealistic expectations — and disappointment usually follows.
AI Is Not an Apocalypse
- At the same time, AI is not a force that suddenly removes human value.
- It doesn’t replace judgment, accountability, or responsibility.
- AI tools depend entirely on how people choose to use them.
- They assist work — they don’t replace decision-making.
Why Extreme Narratives Are Unhelpful
- Hype leads to over-trust.
- Fear leads to avoidance.
- Both are bad outcomes in a workplace setting.
What organizations and individuals need instead is:
- Clear understanding
- Realistic expectations
- Calm, informed use
The Practical Middle Ground
AI is a tool that can:
- Speed up routine work
- Help draft, summarize, and organize
- Support better thinking when used thoughtfully
It can also:
- Make mistakes
- Sound confident when it’s wrong
- Require human review
Both things are true at the same time.
The Core Takeaway
- You don’t need to be excited about AI.
- You don’t need to be afraid of it.
- You just need to understand what it does, what it doesn’t do, and how to use it responsibly.
That balanced mindset — not hype or doom — is what makes AI useful at work.
Looking Ahead
Now that you understand:
- What AI is
- What large language models do
- Why AI suddenly matters
- And why extremes are unhelpful
We’re ready to move into Module 2, where we’ll focus on what AI is not — and clear up some of the most common misconceptions.