Navigating Major Programmes
How is AI poised to transform our workflows and working relationships in the coming months and years? There’s no question that large language models have had an enormous impact on our lives—and most of us have barely scratches the surface of what is possible with these powerful tools. In this episode, Lawrence Rowland joins Riccardo to unpack all that’s changed since his last appearance on the podcast in 2024. Lawrence is a veteran of project management with a laser focus on AI transformation and strategy. Together, he and Riccardo explore numerous angles of working with these inhuman (but increasingly capable) agents on everything from research to reporting to improving coworker interaction. The conversation stays grounded in practice: the pair drills down on the massive shifts in AI in merely months, why token budgets matter, and the growing ability of programs to self-prompt and think outside the boxes of our requests. Lawrence shares the fascinating way he uses AI—to synthesize methodologies, generate playbooks, pressure-test thinking, and reveal tacit insights missing from current project narratives. The two AI buffs also confront the human side of the transition, including where accountability falls when work is partially automated and what “transformative AI” might mean for careers and organizations. Less about hype and more about adaptation, Lawrence and Riccardo’s conversation hones in the theory on constraints. They remove the rose-tinted glasses and speak to redesigning workflows based on a practical, vital question: where is AI genuinely better, and where are humans still essential? Key Takeaways: * How agentic AI shifts work from prompting to task-level execution; * The reasoning capacity of AI tools based on token budgets and model capability; * The concept of underwriting in retaining human liability in AI-dominated work * How theory of constraints and bottleneck thinking helps decide what to automate vs keep human; * How AI can improve communication and project alignment by translating complex work for different audiences. Quote: * “Either you’re checking the AI or the AI is checking you, and getting used to that will set you up for the new economy.” - Lawrence Rowland The conversation doesn’t stop here—connect and converse with our community via LinkedIn: * Navigating Major Programmes, Season 2 Episode 6 with Lawrence Rowland: https://navigatingmajorprogrammes.transistor.fm/s2/23 [https://navigatingmajorprogrammes.transistor.fm/s2/23] * NBER “Economics of Transformative AI Workshop, Fall 2025”: https://www.nber.org/conferences/economics-transformative-ai-workshop-fall-2025 [https://www.nber.org/conferences/economics-transformative-ai-workshop-fall-2025] * arXiv “Some Simple Economics of AGI” by Christian Catalini, Xiang Hui, Jane Wu: https://arxiv.org/abs/2602.20946 [https://arxiv.org/abs/2602.20946] * SSRN PDF “Some Simple Economics of AGI”: https://papers.ssrn.com/sol3/Delivery.cfm/6298838.pdf?abstractid=6298838&mirid=1 [https://papers.ssrn.com/sol3/Delivery.cfm/6298838.pdf?abstractid=6298838&mirid=1] * Follow Navigating Major Programmes: https://www.linkedin.com/company/navigating-major-programmes/ [https://www.linkedin.com/company/navigating-major-programmes/] * Read Riccardo’s latest at www.riccardocosentino.com [http://www.riccardocosentino.com] * Follow Riccardo Cosentino: https://www.linkedin.com/in/cosentinoriccardo/ [https://www.linkedin.com/in/cosentinoriccardo/] * Follow Lawrence Rowland: https://www.linkedin.com/in/lawrencerowland/ [https://www.linkedin.com/in/lawrencerowland/]
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