The Grand Challengers Podcast Episode #67
Literacy before fluency, why AI is not a religion and the brain needs training
Guest: Anastassia Lauterbach
July 21st, 2026
Overview
Most of us now use AI every day. Very few of us could explain what it is actually doing.
Anastassia Lauterbach thinks that gap is the most dangerous thing about this technology, and she has built a company to close it. She is a linguist, a trained clinical psychologist, a former senior executive at Qualcomm and Deutsche Telekom, a former non-executive director at easyJet, Dun & Bradstreet and Wirecard, and now founder and CEO of AI Edutainment in Basel.
In this episode she draws a line that most companies and governments have quietly erased. AI literacy is not AI fluency. Fluency is knowing how to prompt, and it is what almost every corporate and government programme now teaches. Literacy is understanding why every large language model hallucinates and why that cannot be engineered away, where your data goes when you upload it, and when the honest answer is to not use AI at all. Understanding gives you the power to question, and questioning, as she puts it, is precisely what consultancies and AI vendors would rather you did not do. Invest only in fluency and what you scale is mediocrity.
We work through the four principles of her Responsible AI white paper. First, changing the architecture itself, so that machines can reason about cause and effect, model the world and understand other minds. Second, radical transparency, where failures are reported as clearly as successes. Third, literacy as understanding rather than tool training. And fourth, the fusion of STEM with the humanities to defend the human creative purpose. She makes the case that writing is a thinking technology rather than a communication tool, that cognitive capital belongs next to human capital on the balance sheet, and that the brain, like any muscle, needs resistance training. Anastassia is also unsparing about the elevation of AI into a religion, complete with its own popes, its own churches, and its own heretics.
But this is a biographical show, and Anastassia’s own story is remarkable. We begin at a grand piano in Basel, with absolute pitch and a childhood spent in a two-room Moscow apartment with four people and a dog. We travel through simultaneous translation on Yugoslav construction sites, a broadcasting career at Deutsche Welle, three decades in the boardrooms of European technology, and the collapse of Wirecard, which cost her almost everything she owned. What she rebuilt from it is an AI literacy company, a series of children’s books, and a ginger cat who serves as Chief Marketing Officer.
Episode Teaser
Biography
“…If we want a certain future to be, we need to have a concept on what it might look like and what are the skills we would like to support…”
Dr Anastassia Lauterbach is the founder and CEO of AI Edutainment, an AI literacy company based in Basel, Switzerland, and one of Europe’s most experienced technology board directors. Born in Moscow, she read linguistics at Lomonosov Moscow State University, moved to Germany in the early 1990s, and completed a PhD in linguistics and clinical psychology at the University of Bonn, where her research focussed on aphasia and the language capacity of the brain. She speaks six languages. Her corporate career began at Munich Re and McKinsey and led to senior executive roles at Daimler, T-Mobile International, Deutsche Telekom and Qualcomm, where as Senior Vice President for Europe she carried profit and loss responsibility of 4.7 billion euros. She has served as a non-executive director and supervisory board member at easyJet, Dun & Bradstreet, censhare, Aircision and Wirecard, and on advisory boards at Intel, Nasdaq and Star Alliance. At Wirecard she chaired risk and compliance and triggered the compliance study that led to the appointment of KPMG as special auditor, work that contributed to the discovery of the fraud. She later gave two days of testimony in the criminal trial of the company’s former chief executive.
Today Anastassia devotes her work to making AI understandable to people who have no background in computer science or mathematics. She is Professor of Cybersecurity and AI at MCI Innsbruck, the lead author of “The AI Imperative: A Roadmap for Business” (Praeger, 2018), and the creator of the “Romy & Roby” series, which teaches children and their families about AI, robotics and quantum technologies (the first volume is dedicated to the children of Ukraine, who can download it free of charge). She hosts the podcast “AI Snacks with Romy & Roby”, writes the blog “The Evolution of AI”, and in April 2026 published the white paper “What Should Responsible AI Be About, If We Put the Noise Aside?”. She mentors chief executives, board members and founders, with a particular focus on those navigating a crisis that was not of their making. In 2024 the Business Excellence Institute in Dublin inducted her into its Hall of Fame for Business Excellence. She self-funds her AI literacy work, and describes her mission simply: to educate a million people about AI.
Quick Summary & Highlights
- Literacy is not fluency. Fluency is prompting. Literacy is understanding what a model can and cannot do. Almost every corporate and government AI programme teaches the second and skips the first.
- Hallucinations are structural, not a bug. They cannot be engineered out of transformers. What can be built is better governance, better architecture and better human judgement around them.
- Four principles of responsible AI: change the architecture (causality, world models, theory of mind), report failures as radically as successes, teach literacy rather than tools, and fuse STEM with the humanities.
- Cognitive capital. If human capital sits on the balance sheet, why not the cognitive capacity we are quietly offloading to machines?
- A life in structures. From absolute pitch and a Moscow music school to Qualcomm, the Wirecard collapse, and rebuilding from nothing with a cat as Chief Marketing Officer.
Resources Related to the Episode
Anastassia’s Work
- AI Edutainment – Anastassia’s AI literacy company, based in Basel
- “What Should Responsible AI Be About, If We Put the Noise Aside?” – the April 2026 white paper setting out the four principles discussed on the show
- Romy & Roby – the AI and robotics book series for children and families (the first volume can be downloaded free by Ukrainian citizens)
- “Romy, Roby and the Secrets of Sleep” – Book 1 of the series, on Amazon
- “The AI Imperative: A Roadmap for Business” – Anastassia’s 2018 book with Praeger
- “AI Snacks with Romy & Roby” – Anastassia’s podcast
- The Evolution of AI – Anastassia’s blog
Key Research and Publications
- Judea Pearl and Dana Mackenzie, “The Book of Why” – the case for causality, and the Ladder of Causation referenced throughout the white paper
- Bender, Gebru, McMillan-Major and Shmitchell, “On the Dangers of Stochastic Parrots” – the paper Anastassia defends, and the one that cost its authors their jobs
- Kosmyna et al., “Your Brain on ChatGPT: Accumulation of Cognitive Debt” – the MIT Media Lab EEG study on essay writing with an AI assistant
- Gerlich, “AI Tools in Society: Impacts on Cognitive Offloading and the Future of Critical Thinking” – the cognitive offloading evidence
- Xu, Jain and Kankanhalli, “Hallucination is Inevitable: An Innate Limitation of Large Language Models” – why hallucinations cannot be engineered away
- Richens and Everitt, “Robust Agents Learn Causal World Models” – the DeepMind proof that generalisation requires a causal model
- Shumailov et al., “AI Models Collapse When Trained on Recursively Generated Data” – model collapse and the synthetic data problem
- Project NANDA, “The GenAI Divide: State of AI in Business 2025” – the MIT finding that most enterprise AI pilots return nothing
- Ray Kurzweil, “How to Create a Mind” – the book Anastassia calls one of the most stupid ever written, and explains why
- Naomi Baron, “Who Wrote This? How AI and the Lure of Efficiency Threaten Human Writing” – writing as a thinking technology
- William Zinsser, “On Writing Well” and “Writing to Learn” – the same argument, made four decades earlier
- Marvin Minsky, “The Society of Mind” – the richer model of brain architecture Anastassia recommends over current corporate curricula
Tools, Methods and Context
- Yann LeCun’s AMI Labs – the world model bet, and the argument that large language models are a dead end
- Google DeepMind’s Genie 3 – a world model that generates interactive environments in real time
- Jürgen Schmidhuber, “Gödel Machines” – the 2003 blueprint for self-improving AI, and the priority disputes that followed
- AlphaFold and the 2024 Nobel Prize in Chemistry – the genuine breakthrough Anastassia is happy to celebrate
- Anthropic’s AI Fluency Index – the behaviours that separate iterative users from passive ones
- OECD and European Commission, “Empowering Learners for the Age of AI” – one of the few frameworks to name AI’s structural limits as a core competency
- Alpha School – the AI-supported personalised learning model Anastassia admires
- KPMG withdraws its agentic AI report after hallucinated citations – the Financial Times story discussed on the show
- Gary Marcus – the “heretic” who keeps pointing at the mathematics
- Wirecard – the Financial Times investigation into the largest corporate fraud in modern German history
Cultural and Fun References
- Grigory Sokolov – Anastassia’s favourite pianist, who no longer plays with orchestras and tours a single programme each season
- Maurice Ravel, “Le Tombeau de Couperin” – Peter’s all-time favourite
- Chopin’s Piano Concerto No. 2 – the second movement, one of Anastassia’s favourites
- John Neumeier’s “Lady of the Camellias” – the ballet set to Chopin that was never written as one
- John Cranko’s “Onegin” – the Stuttgart Ballet production assembled from Tchaikovsky’s music
- Dmitri Hvorostovsky – the baritone Anastassia returns to for Onegin
- Fondation Beyeler – the Renzo Piano building Anastassia calls one of the best museums in Europe
- Museum Tinguely and Kunstmuseum Basel – two of the forty museums in Basel
- Larry, Chief Mouser to the Cabinet Office – the only constant in British politics
- Tulip mania – the seventeenth century bubble Anastassia compares the current AI race to
Episode Chapters
(Chapters are embedded in the episode for quick access, click this to expand and view all chapters and time stamps)
- 0:00 Intro
- 1:59 Guest Intro, Basel and Piano
- 15:15 Anastassia’s early journey
- 21:43 The Brain and critique on today’s AI and society
- 35:49 Anastassia’s Mission in AI Literacy
- 42:34 AI Literacy vs. AI Fluency
- 48:08 The cognitive challenge and appetite for understanding
- 51:52 Mediocrity and the need to celebrate human effort
- 55:18 Education reforms and re-exercising our brain
- 1:09:37 Reaching the four pillars of Responsible AI
- 1:19:17 Anastassia’s Vision
- 1:24:05 Q&A Start
- 1:24:32 What does innovation mean to you?
- 1:27:14 Key moment, event, person
- 1:28:22 Time Management
- 1:32:49 Favourite childhood memory
- 1:35:16 Biggest challenge to date
- 1:41:34 Advice for young professionals
- 1:43:38 What would you most like to be remembered for?
- 1:43:52 Where can people find you?
- 1:46:39 Final Message
- 1:46:58 Outro
Connect with Anastassia Lauterbach
- AI Edutainment
- AI Snacks with Romy & Roby Podcast
- Romy & Roby Instagram
- Anastassia’s Substack
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Credits
- Hosted by Peter Marcus Bach, follow me on: X: @petermbach, Instagram: @petermbach87 or subscribe to my channel on YouTube: www.youtube.com/c/PeterMarcusBach/
- Intro/Outro Song: ‘Starsky’ by Alex Keren (Check out more of his tunes over on Spotify: https://open.spotify.com/artist/5vZ3lENfDLjkln8scBJ8mW)





