ABOUT THIS EPISODE
The global technology landscape is currently split by the "GenAI Divide." While the marketing hype promises total transformation, recent research shows that approximately 95% of AI projects fail to deliver a measurable ROI. Why? Because most enterprises are treating AI like a SaaS procurement instead of an engineering challenge.
In this inaugural episode, Nic and Dimitri diagnose the structural flaws in modern AI strategy. We move beyond the "chatbot" buzz to discuss the "Stateless" problem of LLMs and why the highest ROI often comes from the most "boring" back-office automations.
Referenced in the show:
MIT Study: https://mlq.ai/media/quarterly_decks/v0.1_State_of_AI_in_Business_2025_Report.pdf
The Bitter lesson: https://www.cs.utexas.edu/~eunsol/courses/data/bitter_lesson.pdf
Harvard Stats: https://x.com/saxena_puru/status/2026859505045352884
IMF: imf.org
PWC: https://www.pwc.com/
Avasant: https://avasant.com/report/it-spending-as-a-percentage-of-revenue-by-industry-company-size-and-region/
Snowflake: https://www.snowflake.com/en/
Google BigQuery: https://cloud.google.com/bigquery
Openclaw: https://openclaw.ai/
Cornell: https://arxiv.org/abs/1706.03762
