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Atom CTO Podcasts

Atom CTO Podcasts

By: Business Podcasts by Atom CTO
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Conversations with a range of business owners from across the globe that discuss the challenges, triumphs and failures that are faced when trying to build and grow a business. In addition we talk about the latest trends in tech and generally anything we feel is relevant for today's tech and business savvy audience The companies interviewed operate in a diverse set of industries and are of varying maturity from the new startup to the established multi-national. If you would like to take part in a podcast or would like to learn more then follow the link to Substack or LinkedIn and message us thereAll rights reserved Economics
Episodes
  • LLMs are the most overrated part of AI - Sanjay Rakshit

    LLMs are the most overrated part of AI - Sanjay Rakshit
    Jul 16 2026
    About This Episode Bhairav sits down with Sanjay Rakshit, now at Poppulo, for his third or fourth appearance on the show. The conversation was sparked by a quote Sanjay gave at DSE (the digital signage industry event run by Invidis): "LLMs are the most overrated part of AI." They unpack what that actually means, and dig into agents, agentic systems, context engineering, data fidelity, AGI, robotics, and the future of engineering jobs. What We Cover - What Sanjay meant by his "LLMs are overrated" quote, and the DSE event where he said it - The difference between an agent and a chatbot: agency, planning, and achieving an outcome versus reactive output - Where LLMs actually fit inside an agentic system (as one tool among many) - Why context engineering, not the LLM call, is where most of the real work happens - Data fidelity versus data quality, and why it matters more than raw data volume - The mathematics underpinning AI, and why understanding first principles beats following influencers - Quantum computing's potential impact on AI going forward - AI, jobs, and the "power tools" analogy for engineering productivity - Sanjay's take on AGI, and why he remains sceptical - Robotics versus AGI, and his work with the Bayes Institute in Scotland Key Takeaways - An agent is any entity that can think, plan, and act to achieve an outcome; a chatbot just responds - Roughly 70% of agentic system work is context generation and systems engineering, not the LLM call itself - Data fidelity (relevance to the use case) matters more than raw data quality - AGI scepticism rests on the argument that the brain's capacity may be too vast to model - AI is compressing the mechanical effort of coding, freeing engineers to focus on solving the actual problem Links Connect with Sanjay Rakshit on LinkedIn: https://www.linkedin.com/in/sanjay-rakshit/
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    39 mins
  • Understand the Fundamentals - 5 Questions with Sanjay Rakshit

    Understand the Fundamentals - 5 Questions with Sanjay Rakshit
    Jul 14 2026
    Sanjay is back! But this time he answers the famous five questions... https://www.linkedin.com/in/sanjay-rakshit/
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    4 mins
  • Position Alone Doesn’t Give You Authority with Mateo Bervejillo

    Position Alone Doesn’t Give You Authority with Mateo Bervejillo
    Jul 9 2026
    Guest: Mateo Bervejillo, CEO of Xseed and author of Back to Basics Mateo started his career as an attorney in Uruguay before moving into outsourcing operations, growing into VP-level roles leading teams across the US, Uruguay and India, and eventually becoming CEO of Xseed, a LATAM software talent company he helped grow from five people to a hundred. He has spent two decades in the gap between being good at a job and being good at leading people who do that job. What we cover in this episode The conversation covers what actually happens when you get promoted into leadership for the first time, and why the skills that earned you the role are rarely the ones the role requires. We talk about inheriting teams versus building them, the mistake of leading by authority rather than trust, why scaling a business means changing how you work rather than just working more, and how to tell whether you are actually succeeding as a leader. Key topics and timestamps [00:02] Why a legal background can become a "business prevention syndrome" and how to get past it [08:00] The transition from corporate to entrepreneurship, and losing the fear of rejection [11:00] Building a network before you need it: your 20s, 30s and 40s [14:45] The book: what nobody tells you when they give you a team [19:50] Inheriting a team, taking it slowly, and giving people the right chance [22:30] Leading by authority versus leading by alignment [26:45] Building a team from scratch, cultural fit, and hiring for the stage you are actually at [29:00] Why unconscious bias in hiring is unavoidable, and how to design around it [33:50] Scaling and the player-coach problem: when letting go of the work feels like not working [41:00] Leadership myths: you are on camera constantly, and the little things matter more than you think [45:50] How to know if it is actually working: results, attrition and growth [48:00] Advice to his younger self: network outside the company, and start early Mentioned in this episode Back to Basics: Bridging the Gap Between Expectations and Preparation for the Leader Role by Mateo Bervejillo, available on Amazon in Kindle, paperback and hardcover. Also at www.xseed.com.uy/back-to-basics-book First Break All the Rules by Gallup (on employee motivation and engagement) Connect with Mateo Company: www.xseed.com.uy LinkedIn: search Mateo Bervejillo Email: mateobervejillo@gmail.com The Atom CTO Podcast is hosted by Bhairav Patel. New episodes cover technology, entrepreneurship and the people building things that matter. Subscribe wherever you listen to podcasts.
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    49 mins
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