What if “AI teammates” aren’t sci-fi at all, but the next mundane tool that quietly kills Monday dread?

In this episode of AI-Curious, we sit down with David Shim, CEO of Read.ai, to unpack what workers actually want from AI, how teams are adopting agents from the bottom up, and what a practical “digital twin” might do at work—minus the Black Mirror vibes. We cover fast-path ROI (meeting notes → action items), the shift from “prompts” to ambient workflows, and why the most valuable corporate asset may soon be the storage of intelligence—the living record of how your organization thinks and decides.

What we cover

• Why 70% of workers say they want AI agents—and what basic tasks deliver real ROI now
• A crawl-walk-run roadmap: note-taking → briefing → follow-ups → lightweight agents → digital twin
• “Storage of intelligence” as a competitive moat (institutional knowledge that doesn’t walk out the door)
• Guardrails, data separation, and how to make privacy concerns non-negotiable
• Bottom-up adoption: why employees are forcing IT’s hand—and how leaders should respond
• The macro view: augmentation vs. replacement, and the provocative idea that AI replaces computers (as the interface)

If you find this useful, we’d love a rating and a quick share with a teammate who’s piloting AI at work.

Read.AI:

https://www.read.ai/