AI and the Future of Work: Artificial Intelligence in the Workplace, Business, Ethics, HR, and IT for AI Enthusiasts, Leaders and Academics
🏆 Ranked #3, Best 30 HR Tech Podcasts in the US — Million Podcasts (2026).
Host Dan Turchin, PeopleReign CEO, explores how AI is changing the workplace. He interviews thought leaders and technologists from industry and academia who share their experiences and insights about artificial intelligence and what it means to be human in the era of AI-driven automation. Learn more about PeopleReign, the system of intelligence for IT and HR employee service: http://www.peoplereign.io.
AI and the Future of Work: Artificial Intelligence in the Workplace, Business, Ethics, HR, and IT for AI Enthusiasts, Leaders and Academics
383: From Zero-to-One to a Billion in ARR: Why monday.com Is Rebuilding Its Product Thinking from Scratch, with Daniel Lereya, CPTO at monday.com
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Daniel Lereya is Chief Product and Technology Officer at monday.com, the AI work platform trusted by 60% of the Fortune 500 and valued at approximately $8 billion. He joined the company when it had 30 people and $4.5M ARR, and has since grown his team from 5 to nearly 900 people as monday.com crossed $1 billion in ARR.
In this episode, Daniel draws on nearly a decade of scaling one of the world's most adopted work platforms to share what it actually takes to rebuild product thinking from scratch when AI changes everything you thought you knew.
In this conversation, we discuss:
- Why the instincts that made monday.com successful are the exact ones Daniel says had to be dismantled to build AI-first products.
- What the critical difference is between building a demo that impresses and an agent that actually works in production, and where most teams get it wrong.
- Why Daniel believes wrapping AI inside rigid workflows produces better results than giving agents full discretion, and what monday.com learned the hard way.
- What happened when 2,000 of 3,000 monday.com employees started building their own apps in just two weeks, and what it revealed about the future of who gets to build software.
- Why Daniel argues that when an AI agent makes a mistake, the real question leaders should be asking has nothing to do with the technology.
- Why the biggest barrier to AI adoption is not the technology itself, and what Daniel says companies must stop waiting for before they start.
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