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Daniel Lereya on AI adoption

From 383: From Zero-to-One to a Billion in ARR: Why monday.com Is Rebuilding Its Product Thinking from... · · PeopleReign

“The change with AI in my eyes makes you in order to cope with it You actually need to let a lot of the gods down. You need to think back to a zero to one mentality. And in many ways, what got you to this point is actually the things that are going to delay you if you'll continue in the same way.”

Daniel Lereya
Chief Product & Technology Officer, monday.com
AI adoptionproduct philosophyinnovation

On , Daniel Lereya, Chief Product & Technology Officer at monday.com, spoke about AI adoption during 383: From Zero-to-One to a Billion in ARR: Why monday.com Is Rebuilding Its Product Thinking from... on PeopleReign.

383: From Zero-to-One to a Billion in ARR: Why monday.com Is Rebuilding Its Product Thinking from...
Watch on YouTube at 10:32
383: From Zero-to-One to a Billion in ARR: Why monday.com Is Rebuilding Its Product Thinking from...
PeopleReign
Watch on YouTube at 10:32
Send us Fan Mail (https://www.buzzsprout.com/520474/fan_mail/new) 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. Explore: 00:00 Why AI Adoption Is Harder Than It Looks 00:53 Introduction + AI Commerce Standards: Google, OpenAI & Visa 04:30 Daniel Lereya's 9-Year Journey Scaling monday.com to $1B ARR 09:00 How AI Forces a Complete Reset in Product Thinking 12:25 The "AI Month" Initiative: Pausing R&D to Rebuild from Scratch 14:57 Building AI Products When the Output Is Non-Deterministic 20:47 What 250,000 Customers Taught Us About AI in the Real World 25:38 Responsible AI: Guardrails, Governance, and Data Control 31:28 Who Is Responsible When an AI Agent Makes a Mistake? 37:04 The Future of Work: Humans, Agents, and What Comes Next Resources: • Subscribe to the AI & The Future of Work Newsletter (https://aiandwork.beehiiv.com/subscribe) • Connect with Daniel on LinkedIn (https://www.linkedin.com/in/daniel-lereya-aa487646/?originalSubdomain=il) • AI fun fact article (https://venturebeat.com/ai/google-vs-openai-vs-visa-competing-agent-protocols-threaten-the-future-of-ai) • On How we can take back control from Big Tech (https://podcasts.apple.com/us/podcast/tom-wheeler-former-fcc-chairman-ceo-vc-and-author/id1476885647?i=1000637436039) • https://peoplereign.io/podcast/
Daniel Lereya

About Daniel Lereya

Chief Product & Technology Officer · monday.com

Daniel Lereya, Chief Product and Technology Officer at monday.com, appeared on the podcast "AI in the Future of Work" on April 15, 2026. He discussed the challenges of adopting AI in the workplace, comparing it to creating new habits that are difficult for people to form. Lereya stated that AI adoption requires users to gain confidence and that changes are often limited by what people can absorb rather than what is technically feasible. He also said that coping with AI requires organizations to adopt a "zero to one mentality" and let go of past approaches that may delay progress. Lereya described an initiative at monday.com called "AI month," during which the organization paused all other work for one month to rethink what they are solving for customers and how they work with AI. He said this resulted in a change of direction and many positive outcomes. Lereya noted that monday.com was built as a platform to give people the power of technology, and he argued that AI has accelerated this vision by making building blocks like boards, columns, dashboards, and automations more accessible.

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