The Invisible Work AI Can't Replace—with Paul Traficanti (Nextworld)

If AI can produce the deck, write the PRD, and draft the battle card—what's left for you to own?

In this episode of Futureproof, Xano CEO Prakash Chandran sits down with Paul Traficanti, Director of Product Marketing at Nextworld and writer behind the Substack newsletter Somebody Manage Me. Paul is a founder turned operator who has worked across gaming, direct-to-consumer, and enterprise SaaS—and he's been writing about something most AI conversations skip over: as AI takes over the visible work, the invisible human layer underneath becomes even more invisible. Together, he and Prakash explore what taste, judgment, and critical thinking actually look like in daily work, why AI-generated documents are creating a new kind of organizational noise, and how leaders can start making the invisible contributions of their teams visible again. They also dig into how hiring is changing when the floor has been raised, why meetings are shifting from document reviews to alignment conversations, and what it means that an LLM-written document is now being summarized by another LLM so no one has to read it.

Topics covered include:

• Taste as the new competitive advantage: Why the human decisions behind a prompt—what to say, to whom, and why—matter more than the polished output AI produces.
• The document graveyard problem: How AI-generated PRDs, battle cards, and decks are creating more content but less understanding, and why less is about to become more again.
• "Show me the prompt": A practical framework for cutting through AI slop by asking teammates what context they gave the model and why—and the water cooler test for whether they truly understand their own output.
• Hiring when the floor is raised: Why interview homework assignments no longer reveal much, and how companies are rethinking evaluation to test for critical thinking, not production skill.
• AI literacy gaps across functions: Why developers adopted AI fastest but sales and marketing teams are still catching up, and the emerging need for internal AI enablement roles.