What OpenAI Employees Do All Day (It's Not What You Think) episode artwork

EPISODE · Jun 29, 2026 · 16 MIN

What OpenAI Employees Do All Day (It's Not What You Think)

from The Value Engine · host Nico Hartwell

What if everything you think about working in an AI world is backwards? While everyone's panicking about robots taking their jobs, Nico Hartwell reveals what OpenAI employees actually do all day - and it's not what the headlines suggest. Turns out, the future belongs to people who can work WITH artificial intelligence, not against it. 🎯 What You'll Learn: • Why McKinsey's 2024 data shows 40% of work activities face automation (and what the other 60% looks like) • The three new job categories emerging right now: AI trainer, human-machine interaction designer, and algorithmic bias auditor • How companies using human-AI collaboration crush pure automation by 30-50% in performance metrics • Which skills actually matter when machines can do the technical stuff (hint: it's not coding) 👤 Perfect for: curious listeners who love learning new things Anyone wondering how to stay relevant when AI gets really, really good at everything. 📍 Chapters: [00:00] Nico Hartwell introduces the OpenAI employee revelation [02:00] McKinsey's shocking automation data breakdown [04:30] Three job categories that didn't exist two years ago [06:45] Why emotional intelligence beats technical skills now [08:30] Companies winning the human-AI collaboration game [10:15] Your action plan for the next 12 months 🔔 Never miss an episode: Follow The Value Engine on Spotify and turn on notifications. New episodes drop daily, your next favorite insight is one tap away. 🔍 Topics: AI, machine learning, automation, OpenAI, future of work More episodes available at The Value Engine ------ Keywords: ai revenue, ai roi, business process automation, business intelligence, workflow automation, automation mistakes, ai transformation Learn more about your ad choices. Visit megaphone.fm/adchoices

What if everything you think about working in an AI world is backwards? While everyone's panicking about robots taking their jobs, Nico Hartwell reveals what OpenAI employees actually do all day - and it's not what the headlines suggest. Turns out, the future belongs to people who can work WITH artificial intelligence, not against it. 🎯 What You'll Learn: • Why McKinsey's 2024 data shows 40% of work activities face automation (and what the other 60% looks like) • The three new job categories emerging right now: AI trainer, human-machine interaction designer, and algorithmic bias auditor • How companies using human-AI collaboration crush pure automation by 30-50% in performance metrics • Which skills actually matter when machines can do the technical stuff (hint: it's not coding) 👤 Perfect for: curious listeners who love learning new things Anyone wondering how to stay relevant when AI gets really, really good at everything. 📍 Chapters: [00:00] Nico Hartwell introduces the OpenAI employee revelation [02:00] McKinsey's shocking automation data breakdown [04:30] Three job categories that didn't exist two years ago [06:45] Why emotional intelligence beats technical skills now [08:30] Companies winning the human-AI collaboration game [10:15] Your action plan for the next 12 months 🔔 Never miss an episode: Follow The Value Engine on Spotify and turn on notifications. New episodes drop daily, your next favorite insight is one tap away. 🔍 Topics: AI, machine learning, automation, OpenAI, future of work More episodes available at The Value Engine ------ Keywords: ai revenue, ai roi, business process automation, business intelligence, workflow automation, automation mistakes, ai transformation Learn more about your ad choices. Visit megaphone.fm/adchoices

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What OpenAI Employees Do All Day (It's Not What You Think)

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This episode was published on June 29, 2026.

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What if everything you think about working in an AI world is backwards? While everyone's panicking about robots taking their jobs, Nico Hartwell reveals what OpenAI employees actually do all day - and it's not what the headlines suggest. Turns out,...

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