References: AI won't replace you. But it will expose you.

Going deeper

A short list, chosen for durability. Every link here resolves at publish time and points to an author who is still writing.

• One Useful Thing by Ethan Mollick (Wharton). The clearest public articulation of the “AI as co-intelligence” framing, written for non-technical professionals. Start with his posts on working with AI rather than the generic AI coverage elsewhere on the web. If you read one outside-the-lesson source after this, make it Mollick.

• fast.ai. Jeremy Howard and Rachel Thomas built their teaching philosophy around showing the working result first and peeling back theory only when the reader is ready for it. Clawdemy borrows that structure directly. Their “Practical Deep Learning” course is technical, but the approach to adult learning is why this lesson opens with Maria and not with a definition.

Adjacent topics

Lessons that build directly on this one.

• Your first conversation. The audit you just did becomes something you run against a real task in Clawless: send your first message and pick the right model for it. Coming in lesson 2.
• Connect your AI provider. Bring your own API key, or sign in with an existing subscription, so Clawless can start working for you. Coming in lesson 3.

Original sources

Primary sources cited in the lesson body.

• “U.S. Leadership in AI with Jensen Huang and Congressman Ro Khanna”, Stanford Graduate School of Business, April 9, 2026. Moderated by General H.R. McMaster (former National Security Advisor) alongside GSB Dean Sarah A. Soule. The two Huang quotes in the lesson body (“you’ll lose your job to somebody who uses AI” and “your job, the purpose of your job, and the tasks that you do in your job are related but not the same”) come from this conversation. Watch the full discussion if you want the wider context: regulation, talent policy, and the case Huang and Khanna make for keeping AI development in the U.S.

Community discussion

None selected for this lesson. The internet’s take on “will AI replace my job” is noisy, evergreen-in-the-worst-way, and rarely durable. If we find a canonical thread worth linking, it’ll be added on the next quarterly review.