HBS Online
HBS Online is Harvard Business School’s online learning and media channel, represented in this wiki by a “Hello, AI” compilation episode on mid-career strategies for thriving in an AI-driven workplace.
Key facts
- Type: Education / media channel
- Institution: Harvard Business School
- Source format: Compilation episode featuring HBS faculty advice [src-056]
- Relevant theme: AI-era career adaptation for mid-career professionals
What it does
In [src-056], HBS Online collects advice from Felix Oberholzer-Gee, Neha Shah, Sunil Gupta, and Linda Hill on how mid-career workers should respond to AI. The recurring advice is practical: use the tools, stop clinging to routine work, identify tacit human strengths, take responsibility, practice AI like a language, and adopt a wayfinder mindset under uncertainty.
Related
- Concepts: Mid-Career AI Strategy, AI Fluency as Language, Tacit Judgment Advantage, Responsibility as Human Work, Wayfinder Mindset
Source references
- [src-056] HBS Online — “Compilation Episode (Part 3): Mid-Career Strategies for Thriving in an AI-Driven Workplace” (2026-05-06)
Keep reading from this thread
From 491 indexed pages and articles.
- Wiki concept Mid-Career AI Strategy The posture of using AI actively, moving away from routine automatable work, and repositioning around judgment, tacit knowledge, responsibility Related by hbs
- Wiki concept Tacit Judgment Advantage The career advantage that comes from context, experience, judgment, and subtle organizational knowledge that AI cannot easily automate. Related by hbs
- Insight AI Measurement and Experimentation How to measure AI product impact with evals, adoption metrics, online experiments, guardrails, and cost tracking Related by online