Open to Work: How to Get Ahead in the Age of AI by Ryan Roslansky and Aneesh Raman

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📚 Open to Work by Ryan Roslansky and Aneesh Raman

I picked this up because the LinkedIn CEO and the platform’s chief economist wrote it at peak AI career panic. Fair enough, although I didn’t enjoy it. The book sells reassurance when what most people need first is literacy: how models work, what they can really do, and what that means for you. No mortal can predict the future.

1. Roslansky and Raman frame fear as the real enemy, not the technology. Their pitch: workers freeze while jobs reshuffle, so move before you have to. Fine as motivation but thin logic. You can’t adapt well to a tool you treat like the weather.

2. Their human edge is the “5Cs”: curiosity, courage, creativity, compassion, communication. Reasonable list. Also the kind of thing that sounds deep until you ask which C still pays rent when a model drafts the email, summarizes the deck, and schedules the follow-up.

3. They sort tasks into three buckets: AI-only (generate a report), AI-plus-human (draft, then you edit), human-only (calm a nervous client). Good sorting exercise for a Monday standup. The book treats the bucket lines as stable. Labor-market data says they move every few quarters.

4. Stories like Jonetta Gresham, a nurse turned project manager who used AI to translate dense IT material, are the strongest pages. Real pivot, real friction overcome. The book stretches those wins into a general theory of the workforce without the harder displacement math.

5. The closing 30-60-90 day plan pushes tool adoption early and relationship skills later. I get the order for a corporate reader. It still puts usage before understanding. Delegation without literacy is how you end up trusting outputs you cannot check.

6. “Nothing, not even AI, can beat you at being you” is the brand line. Maybe true on LinkedIn… On most rungs of the wealth ladder, compounding and a savings rate beat personal uniqueness. I have written about that elsewhere on this site and I still believe it.

7. To me the book reads like a band-aid for cognitive dissonance about LLMs. It tells you to lean into compassion and communication while models already eat communication-shaped work. That soothes anxiety. It does not resolve it. Understanding how the tech works might.

8. My stack is simpler than the 5Cs. Awareness. A mind willing to learn how new tools actually function. Consistent saving and investing. You do not need to be the smartest or most compassionate person in the room. You need enough literacy to see through hype and enough capital to survive a bad year.

Verdict: Skim if your company/rando handed you a copy. Skip if you want technical clarity on AI or a wealth plan that does not depend on your personal brand. Goldman Sachs on AI jobs and a basic investing habit did more for my nerves than two hundred pages of “engage before you have to.”

Related TMFNK Content

• Goldman Sachs on the AI Job Apocalypse: Real Pain, Not Mass Unemployment The displacement math this book gestures at but never really does, with economists arguing about pace instead of platitudes.
• The Proletariat of Judgment: Cognitive Stratification in the AI Era Why outsourcing thinking to models is a different risk than outsourcing typing, and why soft-skills pep talks miss it.
• The Six Levels of Modern Wealth: Why 64% of Families Get Stuck on Rung 4 Net worth rungs and compounding beat career-brand anxiety for most of what actually matters financially.
• The Psychology of Money by Morgan Housel Behavior and patience around money, the layer I think outlasts any single technology cycle.

Crepi il lupo! 🐺